Information Management
The BiblioGov Project is an effort to expand awareness of the public documents and records of the U.S. Government via print publications. In broadening the public understanding of government and its work, an enlightened democracy can grow and prosper. Ranging from historic Congressional Bills to the most recent Budget of the United States Government, the BiblioGov Project spans a wealth of government information. These works are now made available through an environmentally friendly, print-on-demand basis, using only what is necessary to meet the required demands of an interested public. We invite you to learn of the records of the U.S. Government, heightening the knowledge and debate that can lead from such publications.This work has been selected by scholars as being culturally important, and is part of the knowledge base of civilization as we know it. This work was reproduced from the original artifact, and remains as true to the original work as possible. Therefore, you will see the original copyright references, library stamps (as most of these works have been housed in our most important libraries around the world), and other notations in the work.This work is in the public domain in the United States of America, and possibly other nations. Within the United States, you may freely copy and distribute this work, as no entity (individual or corporate) has a copyright on the body of the work.As a reproduction of a historical artifact, this work may contain missing or blurred pages, poor pictures, errant marks, etc. Scholars believe, and we concur, that this work is important enough to be preserved, reproduced, and made generally available to the public. We appreciate your support of the preservation process, and thank you for being an important part of keeping this knowledge alive and relevant.
A Unified Theory of Interconnection Network Structure, rev. Ed
A Unified Theory of Interconnection Network Structure, by Clyde P. Kruskal and Marc Snir, presents a comprehensive approach to understanding and designing interconnection networks. This revised edition explores the fundamental principles that govern the structure and performance of these networks, which are crucial for parallel processing and distributed computing. The book delves into various network topologies and their properties, offering a unified framework for analyzing their behavior. Key concepts include network diameter, connectivity, and routing algorithms. This work is essential reading for computer scientists and engineers seeking a deeper understanding of interconnection network design.This work has been selected by scholars as being culturally important, and is part of the knowledge base of civilization as we know it. This work was reproduced from the original artifact, and remains as true to the original work as possible. Therefore, you will see the original copyright references, library stamps (as most of these works have been housed in our most important libraries around the world), and other notations in the work.This work is in the public domain in the United States of America, and possibly other nations. Within the United States, you may freely copy and distribute this work, as no entity (individual or corporate) has a copyright on the body of the work.As a reproduction of a historical artifact, this work may contain missing or blurred pages, poor pictures, errant marks, etc. Scholars believe, and we concur, that this work is important enough to be preserved, reproduced, and made generally available to the public. We appreciate your support of the preservation process, and thank you for being an important part of keeping this knowledge alive and relevant.
A Unified Theory of Interconnection Network Structure, rev. Ed
A Unified Theory of Interconnection Network Structure, by Clyde P. Kruskal and Marc Snir, presents a comprehensive approach to understanding and designing interconnection networks. This revised edition explores the fundamental principles that govern the structure and performance of these networks, which are crucial for parallel processing and distributed computing. The book delves into various network topologies and their properties, offering a unified framework for analyzing their behavior. Key concepts include network diameter, connectivity, and routing algorithms. This work is essential reading for computer scientists and engineers seeking a deeper understanding of interconnection network design.This work has been selected by scholars as being culturally important, and is part of the knowledge base of civilization as we know it. This work was reproduced from the original artifact, and remains as true to the original work as possible. Therefore, you will see the original copyright references, library stamps (as most of these works have been housed in our most important libraries around the world), and other notations in the work.This work is in the public domain in the United States of America, and possibly other nations. Within the United States, you may freely copy and distribute this work, as no entity (individual or corporate) has a copyright on the body of the work.As a reproduction of a historical artifact, this work may contain missing or blurred pages, poor pictures, errant marks, etc. Scholars believe, and we concur, that this work is important enough to be preserved, reproduced, and made generally available to the public. We appreciate your support of the preservation process, and thank you for being an important part of keeping this knowledge alive and relevant.
Market-like Task Scheduling in Distributed Computing Environments
This report explores the application of market-like mechanisms to task scheduling in distributed computing environments. It examines the potential benefits of using pricing and bidding strategies to allocate computational resources efficiently. The central hypothesis is that a market-based approach can improve overall system performance compared to traditional scheduling algorithms. The report analyzes various market models and their suitability for different types of distributed systems. It presents simulation results and theoretical analysis to evaluate the effectiveness of these mechanisms under varying workloads and system configurations. The work contributes to the understanding of how economic principles can be applied to optimize resource utilization in complex computing environments.This work has been selected by scholars as being culturally important, and is part of the knowledge base of civilization as we know it. This work was reproduced from the original artifact, and remains as true to the original work as possible. Therefore, you will see the original copyright references, library stamps (as most of these works have been housed in our most important libraries around the world), and other notations in the work.This work is in the public domain in the United States of America, and possibly other nations. Within the United States, you may freely copy and distribute this work, as no entity (individual or corporate) has a copyright on the body of the work.As a reproduction of a historical artifact, this work may contain missing or blurred pages, poor pictures, errant marks, etc. Scholars believe, and we concur, that this work is important enough to be preserved, reproduced, and made generally available to the public. We appreciate your support of the preservation process, and thank you for being an important part of keeping this knowledge alive and relevant.
Information Technology
The BiblioGov Project is an effort to expand awareness of the public documents and records of the U.S. Government via print publications. In broadening the public understanding of government and its work, an enlightened democracy can grow and prosper. Ranging from historic Congressional Bills to the most recent Budget of the United States Government, the BiblioGov Project spans a wealth of government information. These works are now made available through an environmentally friendly, print-on-demand basis, using only what is necessary to meet the required demands of an interested public. We invite you to learn of the records of the U.S. Government, heightening the knowledge and debate that can lead from such publications.This work has been selected by scholars as being culturally important, and is part of the knowledge base of civilization as we know it. This work was reproduced from the original artifact, and remains as true to the original work as possible. Therefore, you will see the original copyright references, library stamps (as most of these works have been housed in our most important libraries around the world), and other notations in the work.This work is in the public domain in the United States of America, and possibly other nations. Within the United States, you may freely copy and distribute this work, as no entity (individual or corporate) has a copyright on the body of the work.As a reproduction of a historical artifact, this work may contain missing or blurred pages, poor pictures, errant marks, etc. Scholars believe, and we concur, that this work is important enough to be preserved, reproduced, and made generally available to the public. We appreciate your support of the preservation process, and thank you for being an important part of keeping this knowledge alive and relevant.
Information Management
The BiblioGov Project is an effort to expand awareness of the public documents and records of the U.S. Government via print publications. In broadening the public understanding of government and its work, an enlightened democracy can grow and prosper. Ranging from historic Congressional Bills to the most recent Budget of the United States Government, the BiblioGov Project spans a wealth of government information. These works are now made available through an environmentally friendly, print-on-demand basis, using only what is necessary to meet the required demands of an interested public. We invite you to learn of the records of the U.S. Government, heightening the knowledge and debate that can lead from such publications.This work has been selected by scholars as being culturally important, and is part of the knowledge base of civilization as we know it. This work was reproduced from the original artifact, and remains as true to the original work as possible. Therefore, you will see the original copyright references, library stamps (as most of these works have been housed in our most important libraries around the world), and other notations in the work.This work is in the public domain in the United States of America, and possibly other nations. Within the United States, you may freely copy and distribute this work, as no entity (individual or corporate) has a copyright on the body of the work.As a reproduction of a historical artifact, this work may contain missing or blurred pages, poor pictures, errant marks, etc. Scholars believe, and we concur, that this work is important enough to be preserved, reproduced, and made generally available to the public. We appreciate your support of the preservation process, and thank you for being an important part of keeping this knowledge alive and relevant.
On a Parallel Implementation of Geometric Hashing on the Connection Machine
This work explores a parallel implementation of geometric hashing on the Connection Machine. It delves into the algorithmic and computational aspects of geometric hashing, specifically focusing on how it can be efficiently implemented using parallel processing techniques. This study is relevant for researchers and practitioners interested in computer science, parallel processing, and advanced algorithm design.The document provides insights into leveraging the architecture of the Connection Machine for optimizing the performance of geometric hashing algorithms. It addresses the challenges and opportunities presented by parallelizing this computational task, offering valuable knowledge for those working with high-performance computing systems and complex pattern recognition problems.This work has been selected by scholars as being culturally important, and is part of the knowledge base of civilization as we know it. This work was reproduced from the original artifact, and remains as true to the original work as possible. Therefore, you will see the original copyright references, library stamps (as most of these works have been housed in our most important libraries around the world), and other notations in the work.This work is in the public domain in the United States of America, and possibly other nations. Within the United States, you may freely copy and distribute this work, as no entity (individual or corporate) has a copyright on the body of the work.As a reproduction of a historical artifact, this work may contain missing or blurred pages, poor pictures, errant marks, etc. Scholars believe, and we concur, that this work is important enough to be preserved, reproduced, and made generally available to the public. We appreciate your support of the preservation process, and thank you for being an important part of keeping this knowledge alive and relevant.
Product Lifecycle Management. Integrating Digital Technologies for Sustainability and Innovation
Product Lifecycle Management. Leveraging Ai, Digital Twins, and Smart Technologies
This two-volume set constitutes the refereed proceedings of the 21st IFIP WG 5.1 International Conference on Product Lifecycle Management, PLM 2024, held in Bangkok, Thailand, during July 7-10, 2024. The 64 full papers presented in this book were carefully reviewed and selected from 105 submissions. PLM 2024 aims to integrate business approaches to the collaborative creation, management and dissemination of product and process data throughout the extended enterprises that create, manufacture and operate engineered products and systems.
Applications and Development of Underwater Robotics and Underwater Vision Technology
In recent years, the ocean has become a crucial frontier for human exploration and development. Underwater vision, a multidisciplinary field focused on underwater environments, has seen wide applications across marine resource development, marine biology, and underwater detection and control. In marine resource development, underwater vision technology supports oil exploration and deep-sea mineral extraction. High-precision vision systems in underwater robots enable operations in challenging environments, aiding in the discovery and use of seabed resources. In marine biology, underwater cameras mounted on robots capture marine organisms in their natural habitats, advancing the study of deep-sea ecosystems and species distribution. In underwater detection and control, vision technologies allow for tasks such as target identification and 3D modeling. Robots equipped with sonar and optical systems detect underwater targets and create 3D models, offering valuable tools for environmental studies. To further promote progress in this field, we have launched a Special Issue on underwater vision. It welcomed research on topics including underwater robot vision systems, underwater image enhancement and processing, underwater object detection and recognition, underwater 3D reconstruction techniques, optical imaging and laser scanning technologies, physical environment modeling and simulation, underwater acoustic imaging and sonar technologies, and underwater communication and networking.
Numerical Solution and Applications of Fractional Differential Equations, 2nd Edition
Over the last few decades, the application of fractional calculus to real-world problems has grown rapidly, with dynamical systems described by fractional differential equations (FDEs) representing one of the ways by which to understand complex materials and processes. Due to the power required to model the non-locality, memory, spatial heterogeneity and anomalous diffusion inherent in many real-world problems, FDEs have attracted significant attention in many fields of science and are still under development. However, generally, fractional mathematical models from science and engineering are so complex that analytical solutions are not available. Therefore, the numerical solution is an effective tool in fractional mathematical models. This Special Issue presents the latest developments in fractional differential equations, reports the state-of-the-art numerical methods, and discusses the future trends and challenges.
Advances of AI in Neuroimaging
Neuroimaging is a rapidly evolving field that involves the use of non-invasive imaging techniques to visualize and study the structure and function of the human brain. With the advent of artificial intelligence (AI), the field of neuroimaging has seen significant breakthroughs in terms of accuracy, speed, and efficiency in identifying various brain disorders. AI models have been widely applied in the analysis and interpretation of neuroimaging data, aiding researchers and clinicians to diagnose, treat, and monitor patients with neurological and psychiatric disorders. An aim of this Special Issue reprint is to present some advanced AI methods for application in neuroimaging techniques such as magnetic resonance imaging (MRI), positron emission tomography (PET), and computed tomography (CT). It provides a platform for cutting-edge research at the intersection of AI and neuroimaging, aiming to revolutionize neuroscience and healthcare. It helps readers understand how AI models, coupled with neuroimaging, can advance our understanding of the human brain, its functions, and the mechanisms of brain diseases. This Special Issue reprint also helps readers learn how AI methods in neuroimaging can be used in diagnosis, the improvement of patient care, cost reduction, the enhancement of clinical decision making, as well as the treatment and monitoring of patients with neurological and psychiatric disorders.
Nonlinear Systems
Open Mathematics is a challenging notion for theoretical modeling, technical analysis, and numerical simulation in physics and mathematics, as well as in many other fields. It involves highly correlated nonlinear phenomena that evolve over a large range of time scales and length scales and control the underlying systems and processes in their spatiotemporal evolution. Indeed, the available data, be they physical, biological, or financial, as well as technologically complex systems and stochastic systems including mechanical or electronic devices, can be managed from the same conceptual approach, both analytically and through computer simulation, using effective nonlinear dynamics methods.The aim of this Special Issue is to highlight papers that demonstrate the dynamics, control, optimization, and applications of nonlinear systems. This has recently become an increasingly popular subject, with impressive growth concerning applications in engineering, economics, biology, and medicine; therefore, this Special Issue can be considered a veritable contribution to the literature.Potential topics include, but are not limited to, the following: the stability analysis of discrete and continuous dynamical systems; nonlinear dynamics in biological complex systems; the stability and stabilization of stochastic systems; mathematical models in statistics and probability; the synchronization of oscillators and chaotic systems; optimization methods for complex systems; reliability modeling and system optimization; computation and control over networked systems.
Recent Advances in Anticancer Strategies
This reprint compiles frontier research in dynamical systems and control, both in theoretical and application advancements. The study of dynamical systems and control is fundamental to promoting progress in engineering, and in this reprint, the topics of chaos and bifurcations, complex systems, fractional difference equations, fractional differential equations, fuzzy systems, linear systems, modeling, non-linear control systems, stability and robust stability, as well as stability of pseudo-polynomials and quasi-polynomials topics are considered.
Computational Intelligence and Machine Learning
This Special Issue presents a curated collection of ten research articles that reflect current trends and challenges in computational intelligence and machine learning. The selected works cover a broad spectrum of methods and applications, including personalized recommendation systems, social-aware filtering, human motion prediction, automatic speech recognition for under-resourced languages, chatbot frameworks for Arabic natural language understanding, anomaly detection in system logs, and meteorological forecasting. Across these contributions, several themes emerge. Many studies explore the integration of advanced learning architectures, such as transformers, graph neural networks, and retrieval-augmented generation, with domain knowledge to improve performance and generalization. Others focus on addressing practical challenges like data sparsity, bias in AI systems, and the need for lightweight models suitable for low-resource settings. The application domains span travel, healthcare, e-commerce, software engineering, and environmental monitoring, demonstrating the wide-ranging impact of modern AI techniques. Collectively, the papers emphasize not only technical effectiveness but also the importance of interpretability, fairness, and adaptability in real-world deployments. They exemplify the shift toward responsible and context-aware machine learning and offer methodological insights that are relevant for both academic research and industrial innovation.
Innovative technologies for fake news detection. Monograph
In the monograph, different methodologies for identifying disinformation and fake news sources have been studied, and intelligent methods and innovative tools for fake news detection have been proposed. The monograph is intended for specialists in cybersecurity, machine learning, linguistics, information resources processing and analysis, and artificial intelligence systems, as well as for those obtaining an educational and scientific level of higher education in information technology knowledge. The research was carried out with the grant support of the National Research Fund of Ukraine, "Information system development for automatic detection of misinformation sources and inauthentic behaviour of chat users", project number 33/0012 from 3/03/2025 (2023.04/0012).
Interview Speak
Discover how to decipher the most important job interview questions so you can tell your interviewer what they really want to know. Interview Speak shows you how to ace job interviews by answering the questions behind the questions. Written for job seekers in any field, Interview Speak shows you how to draw on your own unique skillset and deliver answers that will make you stand out. In Interview Speak you'll learn how to: - Break down questions from the interviewer's point of view - Anticipate potential questions from a job description - Develop authentic answers that make you stand out - Navigate different interview stages - Recognize and respond to different types of interview questions Ever felt like you needed a translation guide for a job interview? Interview Speak is that book! From "what are your weaknesses" to "what salary are you looking for", "why did you leave your last job" to "what questions do you have", you'll learn what employers are looking for when they ask these questions and how to give the best answer for you. Have you ever left an interview thinking "nailed it!" and all you heard back was a short rejection? What happened? Didn't you say all the right things? Here's the hard truth: probably not! Job recruiters, screeners, and interviewers speak their own language. If you want to know what they're really asking, you need to learn interview speak! About the book Interview Speak translates the most common, important, and difficult interview questions into plain English and reveals how to answer them effectively and authentically. Experienced interview coaches and employment consultants Barbara Limmer and Laura Browne decode dozens of interview transcripts--including a few clueless responses that may seem all-too familiar. You'll learn to appear confident and qualified as you turn your good answers into great ones. What's inside - An insider's perspective on the job interview - Dozens of sample answers to common questions - No canned replies--develop your own authentic responses About the reader For job seekers in any field. About the author Barbara Limmer has personally coached thousands of professionals and executives from around the world. Laura Browne has extensive experience in leadership and management development, including time as Senior Director of Human Resources for a global tech company. Table of Contents Part 1 1 Welcome to Interview Speak Part 2 2 Common questions and special situations 3 Interpersonal skills questions 4 Perseverance skills, failures, and negative situations questions 5 Leadership, hiring, and motivating skills questions 6 Problem-solving, time management, negotiation, and change questions 7 Questions by job function Part 3 8 Not doing your homework, not being real, or leaving without 9 Not hearing the question, the whole question, and the heart of the question 10 Giving answers that sound good to you (but aren't) Part 4 11 Interview stages and translations before, during, and after 12 How to deal with bad interviewers (and really good ones) Part 5 13 Next steps A Interview questions by chapter B Questions to think about C Interview preparation checklist D Post-interview evaluation Get a free eBook (PDF or ePub) from Manning as well as access to the online liveBook format (and its AI assistant that will answer your questions in any language) when you purchase the print book.
A Layman's Guide to Artificial Intelligence
AI Explained Simply - For the Curious MindArtificial Intelligence isn't just for tech experts - it's already part of our everyday lives.You don't need a background in tech to explore how AI works, where it appears in everyday life, and what it means for our future. Discover how your phone understands your voice, why Netflix seems to know what you'll watch next, and what automation could mean for jobs in the future. A Layman's Guide to Artificial Intelligence shows you how AI really works and where you encounter it daily, all explained in a clear, approachable way. Using real-world examples and straightforward language, Pratibha Das Hatibaruah and Kalyanjit Hatibaruah break down complex ideas like machine learning, neural networks, and natural language processing into easy-to-follow sections.If you've ever wondered how your phone understands you - or whether robots are really coming for our jobs - this is the perfect place to start. No technical background needed - just a curious mind!
Tensor Decompositions for Data Science
Tensors are essential in modern day computational and data sciences. This book explores the foundations of tensor decompositions, a data analysis methodology that is ubiquitous in machine learning, signal processing, chemometrics, neuroscience, quantum computing, financial analysis, social science, business market analysis, image processing, and much more. In this self-contained mathematical, algorithmic, and computational treatment of tensor decomposition, the book emphasizes examples using real-world downloadable open-source datasets to ground the abstract concepts. Methodologies for 3-way tensors (the simplest notation) are presented before generalizing to d-way tensors (the most general but complex notation), making the book accessible to advanced undergraduate and graduate students in mathematics, computer science, statistics, engineering, and physical and life sciences. Additionally, extensive background materials in linear algebra, optimization, probability, and statistics are included as appendices.
Computational Science - Iccs 2025 Workshops
The 6-volume set constitutes the workshop proceedings of the 25th International Conference on Computational Science, ICCS 2025, which took place in Singapore, Singapore, during July 7-9, 2025. The 137 full papers and 32 short papers presented in these proceedings were carefully reviewed and selected from 322 submissions. The papers are organized in the following topical sections: Volume I: Advances in high-performance computational earth sciences: numerical methods, frameworks & applications; artificial intelligence approaches for network analysis; artificial intelligence and high-performance computing for advanced simulations; and biomedical and bioinformatics challenges for computer science. Volume II: Computational health; computational modeling and artificial intelligence for social systems; and computational optimization, modelling and simulation. Volume III: Computational science and AI for addressing complex and dynamic societal challenges equitably; computer graphics, image processing and artificial intelligence; computing and data science for materials discovery and design; and large language models and intelligent decision-making within the digital economy. Volume IV: Machine learning and data assimilation for dynamical systems; and multi-criteria decision-making: methods, applications, and innovations. Volume V: (Credible) Multiscale modelling and simulation; numerical algorithms and computer arithmetic for computational science; quantum computing; retrieval-augmented generation; and simulations of flow and transport: modeling, algorithms and computation. Volume VI: Smart systems: bringing together computer vision, sensor networks and artificial intelligence; solving problems with uncertainty; and teaching computational science.
Data Structures
Unlock the power of efficient programming with this comprehensive guide to Data Structures. Whether you're an undergraduate student diving into computer science or a professional preparing for technical interviews, this book provides the perfect balance of theoretical knowledge and practical application. Through clear explanations, intuitive diagrams, and industry-verified code examples, you'll master essential concepts from basic arrays to advanced data structures. Each chapter builds upon the last, offering a systematic approach to understanding how data can be organized, manipulated, and optimized for real-world applications. What sets this book apart is its focus on practical implementation, featuring carefully curated exercises and real-world use cases that bridge the gap between theory and actual software development. With content validated by industry professionals and a structure that caters to both beginners and intermediate learners, this resource serves as your complete companion for mastering data structures.
Computational Science - Iccs 2025 Workshops
The 6-volume set constitutes the workshop proceedings of the 25th International Conference on Computational Science, ICCS 2025, which took place in Singapore, Singapore, during July 7-9, 2025. The 137 full papers and 32 short papers presented in these proceedings were carefully reviewed and selected from 322 submissions. The papers are organized in the following topical sections: Volume I: Advances in high-performance computational earth sciences: numerical methods, frameworks & applications; artificial intelligence approaches for network analysis; artificial intelligence and high-performance computing for advanced simulations; and biomedical and bioinformatics challenges for computer science. Volume II: Computational health; computational modeling and artificial intelligence for social systems; and computational optimization, modelling and simulation. Volume III: Computational science and AI for addressing complex and dynamic societal challenges equitably; computer graphics, image processing and artificial intelligence; computing and data science for materials discovery and design; and large language models and intelligent decision-making within the digital economy. Volume IV: Machine learning and data assimilation for dynamical systems; and multi-criteria decision-making: methods, applications, and innovations. Volume V: (Credible) Multiscale modelling and simulation; numerical algorithms and computer arithmetic for computational science; quantum computing; retrieval-augmented generation; and simulations of flow and transport: modeling, algorithms and computation. Volume VI: Smart systems: bringing together computer vision, sensor networks and artificial intelligence; solving problems with uncertainty; and teaching computational science.
Computational Science - Iccs 2025
The 4-volume set LNCS constitutes the main proceedings of the 25th International Conference on Computational Science, ICCS 2025, which took place in Singapore, Singapore, during July 7-9, 2025. The 64 full papers and 52 short papers presented in these proceedings were carefully reviewed and selected from 162 submissions. The ICCS 2025 main track full papers are organized in volumes 15903-15905 (Parts I to III) and the ICCS 2025 main track short papers are included in volume 15906 (Part IV).
Computational Science - Iccs 2025
The 4-volume set LNCS constitutes the main proceedings of the 25th International Conference on Computational Science, ICCS 2025, which took place in Singapore, Singapore, during July 7-9, 2025. The 64 full papers and 52 short papers presented in these proceedings were carefully reviewed and selected from 162 submissions. The ICCS 2025 main track full papers are organized in volumes 15903-15905 (Parts I to III) and the ICCS 2025 main track short papers are included in volume 15906 (Part IV).
Graph Transformation
This book constitutes the refereed proceedings of the 18th International Conference on Graph Transformation, ICGT 2025, held in Koblenz, Germany, during June 11-12, 2025.The 10 full papers and 1 short paper included in this book were carefully reviewed and selected from 19 submissions. The topics of the accepted papers cover a wide spectrum, ranging from advancements in the classical theory of graph transformation to the integration of artificial intelligence approaches with graph transformations, the fuzzing of graph databases, and applications of graph transformation in areas such as dialogue management systems and threat analysis.
Computational Science - Iccs 2025
The 4-volume set LNCS constitutes the main proceedings of the 25th International Conference on Computational Science, ICCS 2025, which took place in Singapore, Singapore, during July 7-9, 2025. The 64 full papers and 52 short papers presented in these proceedings were carefully reviewed and selected from 162 submissions. The ICCS 2025 main track full papers are organized in volumes 15903-15905 (Parts I to III) and the ICCS 2025 main track short papers are included in volume 15906 (Part IV).
Computational Science - Iccs 2025 Workshops
The 6-volume set constitutes the workshop proceedings of the 25th International Conference on Computational Science, ICCS 2025, which took place in Singapore, Singapore, during July 7-9, 2025. The 137 full papers and 32 short papers presented in these proceedings were carefully reviewed and selected from 322 submissions. The papers are organized in the following topical sections: Volume I: Advances in high-performance computational earth sciences: numerical methods, frameworks & applications; artificial intelligence approaches for network analysis; artificial intelligence and high-performance computing for advanced simulations; and biomedical and bioinformatics challenges for computer science. Volume II: Computational health; computational modeling and artificial intelligence for social systems; and computational optimization, modelling and simulation. Volume III: Computational science and AI for addressing complex and dynamic societal challenges equitably; computer graphics, image processing and artificial intelligence; computing and data science for materials discovery and design; and large language models and intelligent decision-making within the digital economy. Volume IV: Machine learning and data assimilation for dynamical systems; and multi-criteria decision-making: methods, applications, and innovations. Volume V: (Credible) Multiscale modelling and simulation; numerical algorithms and computer arithmetic for computational science; quantum computing; retrieval-augmented generation; and simulations of flow and transport: modeling, algorithms and computation. Volume VI: Smart systems: bringing together computer vision, sensor networks and artificial intelligence; solving problems with uncertainty; and teaching computational science.
Computational Science - Iccs 2025 Workshops
The 6-volume set constitutes the worshop proceedings of the 25th International Conference on Computational Science, ICCS 2025, which took place in Singapore, Singapore, during July 7-9, 2025. The 137 full papers and 32 short papers presented in these proceedings were carefully reviewed and selected from 322 submissions. The papers are organized in the following topical sections: Volume I: Advances in high-performance computational earth sciences: numerical methods, frameworks & applications; artificial intelligence approaches for network analysis; artificial intelligence and high-performance computing for advanced simulations; and biomedical and bioinformatics challenges for computer science. Volume II: Computational health; computational modeling and artificial intelligence for social systems; and computational optimization, modelling and simulation. Volume III: Computational science and AI for addressing complex and dynamic societal challenges equitably; computer graphics, image processing and artificial intelligence; computing and data science for materials discovery and design; and large language models and intelligent decision-making within the digital economy. Volume IV: Machine learning and data assimilation for dynamical systems; and multi-criteria decision-making: methods, applications, and innovations. Volume V: (Credible) Multiscale modelling and simulation; numerical algorithms and computer arithmetic for computational science; quantum computing; retrieval-augmented generation; and simulations of flow and transport: modeling, algorithms and computation. Volume VI: Smart systems: bringing together computer vision, sensor networks and artificial intelligence; solving problems with uncertainty; and teaching computational science.
Computational Science - Iccs 2025 Workshops
The 6-volume set constitutes the workshop proceedings of the 25th International Conference on Computational Science, ICCS 2025, which took place in Singapore, Singapore, during July 7-9, 2025. The 137 full papers and 32 short papers presented in these proceedings were carefully reviewed and selected from 322 submissions. The papers are organized in the following topical sections: Volume I: Advances in high-performance computational earth sciences: numerical methods, frameworks & applications; artificial intelligence approaches for network analysis; artificial intelligence and high-performance computing for advanced simulations; and biomedical and bioinformatics challenges for computer science. Volume II: Computational health; computational modeling and artificial intelligence for social systems; and computational optimization, modelling and simulation. Volume III: Computational science and AI for addressing complex and dynamic societal challenges equitably; computer graphics, image processing and artificial intelligence; computing and data science for materials discovery and design; and large language models and intelligent decision-making within the digital economy. Volume IV: Machine learning and data assimilation for dynamical systems; and multi-criteria decision-making: methods, applications, and innovations. Volume V: (Credible) Multiscale modelling and simulation; numerical algorithms and computer arithmetic for computational science; quantum computing; retrieval-augmented generation; and simulations of flow and transport: modeling, algorithms and computation. Volume VI: Smart systems: bringing together computer vision, sensor networks and artificial intelligence; solving problems with uncertainty; and teaching computational science.
The Hitchhiker's Guide to Computer Games
The world of computer gaming began in the 1950s and 60s with simple programs on massive mainframe computers. The earliest games were basic simulations, but they set the stage for what was to come. Let's explore this fascinating beginning of an industry that would grow beyond anyone's wildest expectations.
Artificial Intelligence in Dentistry
Artificial Intelligence (AI) is revolutionizing dentistry by mimicking human cognitive functions such as learning, diagnosing, and decision-making. Core technologies include machine learning, deep learning, natural language processing, and computer vision.In healthcare, AI enhances early disease detection, personalizes treatments, automates administrative tasks, and supports clinical decisions. Dentistry is seeing rapid AI adoption across several domains.
Applied Antifragility in Natural Systems
As coined in the book of Nassim Taleb, antifragility is a property of a system to gain from uncertainty, randomness, and volatility, opposite to what fragility would incur. An antifragile system's response to external perturbations is beyond robust, such that small stressors can strengthen the future response of the system by adding a strong anticipation component. Such principles are already well suited for describing behaviors in natural systems but also in approaching therapy designs and eco-system modelling and eco-system analysis. The purpose of this book is to build a foundational knowledge base by applying antifragile system design, analysis, and development in natural systems, including biomedicine, neuroscience, and ecology as main fields. We are interested in formalizing principles and an apparatus that turns the basic concept of antifragility into a tool for designing and building closed-loop systems that behave beyond robust in the face of uncertainty when characterizing and intervening in biomedical and ecological (eco)systems. The book introduces the framework of applied antifragility and possible paths to build systems that gain from uncertainty. We draw from the body of literature on natural systems (e.g. cancer therapy, antibiotics, neuroscience, and agricultural pest management) in an attempt to unify the scales of antifragility in one framework. The work of the Applied Antifragility Group in oncology, neuroscience, and ecology led by the authors provides a good overview on the current research status.
Descriptional Complexity of Formal Systems
This book constitutes the refereed proceedings of the 26th IFIP WG 1.02 International Conference on Descriptional Complexity of Formal Systems, DCFS 2025, held in Loughborough, UK, during July 22-24, 2025. This book includes 15 full papers, carefully reviewed and selected from 20 submissions, as well as 4 abstracts of the invited talks. The conference focus on all aspects of descriptional complexity, including automata, grammars, languages, and other formal systems; various modes of operations and complexity measures.
101 Cyber Answers For Leaders
Are you a leader who wants to make informed decisions about cyber risks or manage incidents effectively? Do you struggle to know what questions to Ask? Are you worried you might not understand the answer? Do you need to have more impact in your meetings?In "101 Cyber Answers for Leaders," Marco Ryan & Andrew Fitzmaurice use their unparalleled expertise in cyber across government, academia, and business to provide you with the answers you need. With over 55 years of combined experience, including Marco's role as a Cyber Leader in Residence at a leading UK Business School and Andrew's background as CEO of Templar Executives, the UK's leading Cyber Advisory firm, they have a proven track record of making cyber accessible and actionable for leaders at all levels.Whether you're a C-suite executive, a board member, or a manager without a technical background, you'll gain the confidence and knowledge to make informed decisions and drive results.
Languages of Cooperation and Communication
This Festschrift is dedicated to Erzs矇bet Csuhaj-Varj繳 in recognition of her contributions to theoretical computer science. Over the course of her distinguished career, she has played a pivotal role in advancing the fields of formal languages, automata theory, and bioinspired computation. Her work as a research collaborator, mentor, and organizer has been instrumental in fostering a vibrant community, these successes are reflected in the papers contributed to this volume. Prof. Csuhaj-Varj繳 graduated with a master's degree in mathematics from the Kossuth Lajos University in Debrecen in 1977, she received her PhD in 1993, became a doctor of the Hungarian Academy of Sciences in 2003, and habilitated in computer science from E繹tv繹s Lor獺nd University. From 1979 to 2011 she was a researcher and manager at the Computer and Automation Research Institute of the Hungarian Academy of Sciences, she became a full professor at E繹tv繹s Lor獺nd University in 2008. Prof. Csuhaj-Varj繳 initiated research directions in the theory and applications of formal languages and automata, unconventional computation, and distributed systems, and played a decisive role in the development of the theory of grammar systems.
Members, Methods, and Measures
Stepping into an IT leadership role for the first time? Feeling overwhelmed by the transition from technical expert to people manager? You're not alone.In Members, Methods, and Measures, Thomas E. Armstrong delivers the guide he wishes he had when he was thrust into management--without a roadmap, training, or support. Drawing on years of experience leading high-performing technology teams, Armstrong breaks down the challenges of IT leadership with real-world insights, practical frameworks, and battle-tested strategies.This book is your crash course in mastering IT Management. Learn how to: Build and manage a high-impact IT team--from hiring and onboarding to retention and career development Navigate the shift from doer to leader--avoid the common pitfalls that derail new managers Set priorities, delegate effectively, and drive results without micromanaging or burning out Manage up, down, and across--communicate with executives, gain stakeholder buy-in, and earn your team's trust Measure what matters--ensure your team's work is recognized and valued by the business Packed with actionable advice, real-world examples, and insights from industry leaders, Members, Methods, and Measures is the ultimate playbook for IT professionals making the leap to management. Whether stepping into leadership for the first time or looking to refine your skills, this book will equip you with the tools, confidence, and strategies to build a thriving, high-performing team.
Members, Methods, and Measures
Stepping into an IT leadership role for the first time? Feeling overwhelmed by the transition from technical expert to people manager? You're not alone.In Members, Methods, and Measures, Thomas E. Armstrong delivers the guide he wishes he had when he was thrust into management--without a roadmap, training, or support. Drawing on years of experience leading high-performing technology teams, Armstrong breaks down the challenges of IT leadership with real-world insights, practical frameworks, and battle-tested strategies.This book is your crash course in mastering IT Management. Learn how to: Build and manage a high-impact IT team--from hiring and onboarding to retention and career development Navigate the shift from doer to leader--avoid the common pitfalls that derail new managers Set priorities, delegate effectively, and drive results without micromanaging or burning out Manage up, down, and across--communicate with executives, gain stakeholder buy-in, and earn your team's trust Measure what matters--ensure your team's work is recognized and valued by the business Packed with actionable advice, real-world examples, and insights from industry leaders, Members, Methods, and Measures is the ultimate playbook for IT professionals making the leap to management. Whether stepping into leadership for the first time or looking to refine your skills, this book will equip you with the tools, confidence, and strategies to build a thriving, high-performing team.
Numerical and Computational Methods in Structural Engineering and Mechanics
Mathematical modeling is a cornerstone for addressing complex problems across science and engineering, showcasing its inherently multidisciplinary nature. In structural engineering and mechanics, the development of robust and precise numerical schemes has been instrumental in deepening our understanding of physical phenomena and driving innovation in computational methodologies. The present reprint contains all the articles accepted and published in the Special Issue "Numerical and Computational Methods in Structural Engineering and Mechanics". This Special Issue is dedicated to exploring advanced mathematical modeling approaches that tackle the diverse challenges faced in these fields. The diverse range of topics covered in this Special Issue reflects the evolving landscape of mathematical modeling in structural engineering and mechanics. By integrating computational advancements with engineering principles, these studies pave the way for future innovations in the field. We hope the collection will serve as a valuable reference and inspiration for further exploration and development in mathematical modeling and engineering mechanics.
Artificial Intelligence and Tiv Indigenous Knowledge Systems
In an age where Ancestral wisdom zither on the edge of extinction, Artificial Intelligence and Tiv Indigenous Knowledge Systems in University Libraries offers a bold, innovative roadmap for cultural preservation. With clarity and conviction, Ambassador Tim Cuttings Agber explores how AI can foster acquisition, management, and protection of the rich, yet endangered, Indigenous Knowledge Systems (IKS) of the Tiv people in Nigerian university libraries. This pioneering work bridges the technological with the traditional, presenting not only a compelling case for AI integration but also a cultural call to action. From blacksmithing and music to governance and cosmology, Tim Cuttings Agber unearths the depth of Tiv knowledge and charts a way forward for ensuring its survival in the digital age. For scholars, Artificial Intelligence stakeholders, librarians, policymakers, and cultural custodians, this book is more than research; it is a manifesto for reclaiming and redefining identity through the synergy of machine learning and cultural heritage.
Combinatorics on Words
This book constitutes the refereed proceedings of the 15th International Conference on Combinatorics on Words, WORDS 2025, held in Nancy, France, during June 30- July 4, 2025. The 20 papers included in these proceedings were carefully reviewed and selected from 31 submissions. They focus on mathematical theory of words. In particular, the combinatorial, algebraic and algorithmic aspects of words are emphasized.
Advanced Image Encryption
Image encryption has emerged as a critical domain in information security, addressing escalating demands from multimedia communication, medical imaging, and IoT applications. This book documents our research and innovations in advanced image encryption frameworks. Specifically, we focus on: 1) developing novel cryptographic architectures integrating hyperchaotic systems, quantum computing, and bio-inspired encoding (DNA/RNA-based), and 2) optimizing security-efficiency trade-offs through hardware acceleration and error-resilient designs, with applications spanning real-time video encryption, secure compression, and noisy channel transmission.
The Cyber Eye
In a world where borders are defined by firewalls and data flows, The Cyber Eye: Inside the Network Wars and Secrets of the Five Eyes Alliance by cybersecurity expert Karwan Mustafa Kareem unveils the hidden battles shaping global power. This gripping, deeply researched book explores the covert world of cyber intelligence, from the origins of the Five Eyes alliance to the rise of new digital powers like China, Russia, Iran, and India. Through detailed case studies-including Stuxnet, SolarWinds, and PRISM-it reveals how surveillance, disinformation, and AI-driven espionage are redefining national security. Kareem examines the roles of big data, private-sector complicity, and algorithmic governance in modern warfare. The book culminates with a forward-looking AI-based cybersecurity model tailored for Kurdistan, offering a blueprint for digital resilience in developing regions. The Cyber Eye is essential reading for cybersecurity professionals, intelligence analysts, policymakers, and anyone seeking to understand power in the digital age.
Development and Validation of a Global Job Satisfaction Scale
Humanity now lives and works in two worlds - the physical world and the cyber world. Tech workers are employees, not necessarily Information Technology (IT) professionals, who work in both worlds and seamlessly harness accessible resources in the worlds to meet organizational goals. This category of employees has unique job experiences and is more complicated to manage than the traditional workforce. Job satisfaction - a measurable outcome of employee wellbeing - remains a crucial indicator of an employee's job experience. This psychological health of employees' requisite for organizational effectiveness, and global productivity and inclusion is usually measured using a standardized job satisfaction scale. However, existing job satisfaction scales for Tech workers lack specificity of measurement or cultural inclusivity. Furthermore, the job satisfaction scales are usually adopted for use without application guideline and going the full-length trials as done with other health products. This study therefore developed and validated a job satisfaction scale for Tech workers in the global context, designed its application guideline and as well, performed a pivotal trial on the scale.
Education's Hidden Drivers
This study explores the relationship between socioeconomic status (SES), utility consumption, and student attainment in UK higher education, focusing on Sheffield. Using data from HESA, GOV.UK, and the Office for National Statistics, it combines quantitative and qualitative methods to analyse how IMD-measured deprivation, energy use, and academic outcomes intersect. Stakeholders like local governments, universities, utility firms, and developers can use these insights for infrastructure planning, policy-making, and community development. Key findings reveal a strong link between electricity use and postgraduate success, likely due to intensive research demands, while undergraduate performance is shaped by broader factors beyond just SES or energy consumption. The study highlights the complexity of student achievement and calls for integrated strategies addressing both socioeconomic and infrastructural influences in higher education.
Numerical Analysis and Optimization
In the proposed reprint, readers will have the opportunity to explore contemporary numerical optimization methods that address a wide range of problems. Some of the topics covered include GNN and ZNN dynamic systems, differential evolution methods, inclusion models, multi-product and multi-criteria supply-demand network equilibrium models, and conjugate gradient and accelerated hybrid quasi-Newton approaches for determining optimal solutions to given problems, among others. The main objective of this reprint is to disseminate significant results from these areas, thereby contributing to the advancement of applied mathematics, particularly in the fields of numerical analysis and optimization.
Ethics in AI
Are you tired of the ethical challenges posed by artificial intelligence?Do you want to dive deeper into the issues of bias and discrimination in AI algorithms? Look no further! Our comprehensive course, "Ethics in AI: Combating Bias and Discrimination", is designed to equip you with the knowledge and skills needed to address this pressing issue.In this course, we will explore the ethical implications of artificial intelligence, with a particular focus on the pervasive issue of bias and discrimination in AI algorithms. Through an in-depth examination of real-world examples and case studies, you will gain a deep understanding of how bias can be embedded in AI systems and perpetuate discriminatory outcomes.But that's not all! Our course goes beyond theory.
Research on the Reproductive Health of Blind Adolescents
All the national, and international organizations and agencies are working day and night for the youth generation which reflects the researcher's answer to the most important question in this regard was care during reproductive changes among blind adolescents. Guided by these all aspects of reproductive health and the targeted population, the research scholar decided to help them with the required information and developed the teaching technology in the form of self-instructional module in Marathi Devnagari Braille script and audio CD-ROM in Marathi respectively.
Security Vulnerabilities in AI pipeline
The intersection of artificial intelligence and healthcare has introduced promising applications in the early diagnosis of neurodevelopmental disorders such as Autism Spectrum Disorder (ASD). This book presents a web-based AI model for detecting autism using facial images and symptom descriptions, with a strong emphasis on implementing security measures. While the Vision Transformer (ViT) forms the core of the classification engine, the uniqueness of the project lies in safeguarding sensitive health data through advanced encryption, access control, and secure deployment practices. This report explores the methodology, literature background, research objectives, and results with a special focus on data privacy and application.
