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.
Numerical Solution and Applications of Fractional Differential Equations, 2nd Edition
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).
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.
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
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
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.
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 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.
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.
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.
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
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.
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.
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.
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).
Frontiers of Algorithmics
This book LNCS15828 constitutes the refereed proceedings of the 19th International Joint Conference on Theoretical Computer Science-Frontier of Algorithmic Wisdom (IJTCS-FAW 2025), consisting of the 19th International Conference on Frontier of Algorithmic Wisdom (FAW) and the 6th International Joint Conference on Theoretical Computer Science (IJTCS), held in Paris, France, during June 30-July 2, 2025. The 28 full papers and 2 short papers were carefully reviewed and selected from 63 submissions. The proceedings focuses on Frontiers of Algorithmic Wisdom; Block-chain, Distributed Computing, Multi-Agents; Game Theory, Algorithmic Game Theory, Machine Learning, Electronic Commerce.
