Pattern Recognition
This 2-volume set LNCS 15297-15298 constitutes the refereed proceedings of the 46th Annual Conference of the German Association for Pattern Recognition, DAGM-GCPR 2024, held in Munich, Germany, during September 10-13, 2024.The 44 full papers included in these proceedings were carefully reviewed and selected from 81 submissions. They are organized in these topical sections: Part I: Clustering and Segmentation; Learning Techniques; Medical and Biological Applications; Uncertainty and Explainability.Part II: Modelling of Faces and Shapes; Image Generation and Reconstruction; 3D Analysis and Sythesis; Video Analysis; Photogrammetry and Remote Sensing.
Crime-Related Events Identification Based on Text Analytics Approach
Crime-Related Events Identification Based on Text Analytics Approach describes the possibilities of extracting crime-related facts from semi-structured information from various Internet sources, so that crime can be combatted. The book is aimed at police officers and IT-professionals working in online investigations.
Artificial Intelligence Based Smart and Secured Applications
AIoT
The book provides a comprehensive exploration of the intersection between AI and the Internet of Things (IoT). It begins with an introduction to AI, IoT, and their synergistic relationship, and explains how AI technologies enhance IoT devices. The book explores such key components as sensors, connectivity, and machine learning algorithms.
Artificial Intelligence Based Smart and Secured Applications
Artificial Intelligence Based Smart and Secured Applications
Understanding Artificial Minds through Human Minds
Understanding Artificial Minds through Human Minds provides an introduction into artificial intelligence through the lens of psychology.
Robocup 2024: Robot World Cup XXVII
This book constitutes the proceedings of the 27th RoboCup International Symposium which was held in Eindhoven, The Netherlands, during July 15-22, 2024.The 34 regular papers included in these proceedings were carefully reviewed and selected from 58 submissions.The technical challenges brought on by the RoboCup initiative motivate novel scienti c and engineering strategies for developing complete, advanced robotic systems. The RoboCup Symposium fosters the sharing of these approaches and advances the science of robotics by enabling building upon the progress of others. This book also presents contributed technical papers from the champions of the 2024 competition's constituent leagues. These papers describe the key approaches necessary for winning the respective competition.
Planning and Control Using Oracle Primavera P6 Versions 18 to 24 PPM Professional
Computational Diffusion MRI
This book constitutes the proceedings of the 15th International Workshop, CDMRI 2024, held in conjunction with MICCAI 2024, the 27th International Conference on Medical Image Computing and Computer-Assisted Intervention. The conference took place in Marrakesh, Morocco, October 6, 2024. The 19 full papers presented in this book were carefully reviewed and selected from 22 submissions.
Human-Machine Interface Technology Advancements and Applications
Medical Image Computing and Computer Assisted Intervention - Miccai 2024 Workshops
This book constitutes the proceedings from the workshops LDTM 2024, MMMI/ML4MHD 2024, and ML-CDS 2024 which were held in conjunction with the 27th International Conference on Medical Image Computing and Computer Assisted Intervention, MICCAI 2024, in Marrakesh, Morocco, in October 2024. The papers included in this book stem from the following workshops: - LDTM 2024, Workshop on Longitudinal Disease Tracking and Modeling with Medical Images and Data, which accepted 13 papers from 15 submissions. - MMMI/ML4MHD 2024, the 5th International Workshop on Multiscale Multimodal Medical Imaging, MMMI 2024, and the First Workshop on Machine Learning for Multimodal/-sensor Healthcare Data, ML4MHD2024, from which 8 papers are included from a total of 14 submissions to the workshop - ML-CDS 2024, Workshop on Multimodal Learning and Fusion Across Scales for Clinical Decision Support, which accepted 4 papers out of 5 submissions
Massive Open Online Courses - Learning Frontiers and Novel Innovations
Artificial Intelligence Based Smart and Secured Applications
A Concise Introduction to Machine Learning
A Concise Introduction to Machine Learning uses mathematics as the common language to explain a variety of machine learning concepts from basic principles and illustrates every concept using examples in both Python and MATLAB(R), which are available on GitHub and can be run from there in Binder in a web browser.
Debiasing AI
Debiasing AI examines the vital intersection of technology, innovation, and sustainability. It addresses the pressing challenge of bias in AI systems, exploring its far-reaching implications for fairness, trust, and ethical practices. A must-read for scholars, industry leaders, and policymakers.
Crafty Game Writing
Every writer dreams of creating their own game world and telling their own stories. If you're writing for Star Wars or Assassin's Creed or the Marvel Universe, the groundwork has already been laid for you. But what if you are the person who has to lay that groundwork?
Multi-Agent-Based Simulation XXV
This book constitutes the refereed proceedings of the 25th International Workshop on Multi-Agent-Based Simulation XXV, MABS 2024, held in Auckland, New Zealand, on May 6, 2024. The 7 full papers included in this book were carefully reviewed and selected from 11 submissions. They are organized in topical sections as follows: MABS methodology and tools; MABS education; and MABS applications.
Efficient Analog Integrated Circuit Sizing with Genai
This book focuses on the automation of analog integrated circuit design, particularly the sizing process. It introduces an innovative approach leveraging generative artificial intelligence, specifically denoising diffusion probabilistic models (DDPM). The proposed methodology provides a robust solution for generating circuit designs that meet specific performance constraints, offering a significant improvement over conventional techniques. By integrating advanced machine learning models into the design workflow, the book showcases a transformative way to streamline the process while maintaining accuracy and reliability.
Parallel Processing and Applied Mathematics
This book constitutes the refereed proceedings of the 15th International Conference on Parallel Processing and Applied Mathematics, PPAM 2024, held in Ostrava, Czech Republic, during September 8-11, 2024. The 75 full papers included in this book were carefully reviewed and selected from 134 submissions. . The papers are organized in the following topical sections: Part I: Numerical Algorithms and Parallel Scientific Computing; Architectural Aspects of HPC; Parallel Non-numerical Algorithms; GPU Computing; Performance Analysis and Prediction in HPCSystems; Environments and Frameworks for Parallel/Cloud/Edge Computing; and Applications of Parallel and Distributed Computing. Part II: First PPAM Workshop on RISC-V (RISC-V PPAM 2024); Special Session on Scheduling for Parallel Computing; 10th Workshop on Language-Based Parallel Programming (WLPP 2024); 7th Workshop on Models Algorithms and Methodologies for Hybrid Parallelism in New HPC Systems (MAMHYP 2024); and Second Workshop on Quantum Computing and Communication. Part III: First Workshop on Advancements of Global Challenges Application; Second Workshop on Applications of Machine Learning and Artificial Intelligence in High Performance Computing; 5th Workshop on Applied High Performance Numerical Algorithms for PDEs; Special Session on Parallel EVD/SVD and its Application in Matrix Computations; 6th Minisymposium on HPC Applications in PhysicalSciences; and 8th Workshop on Complex Collective Systems.
Integrated Uncertainty in Knowledge Modelling and Decision Making
This two-volume set constitutes the proceedings of the 11th International Symposium on Integrated Uncertainty in Knowledge Modelling and Decision Making, IUKM 2025, held in Ho Chi Minh City, Vietnam, during March 17-19, 2025. The 55 full papers in this book were carefully reviewed and selected from 116 submissions. They were organized in topical sections as follows: Part I: Invited Talks; Machine Learning; Pattern Recognition and Data Analysis; Applications. Part II: Uncertainty Management and Decision Making; Optimization and Statistical Methods; Applications.
Parallel Processing and Applied Mathematics
This book constitutes the refereed proceedings of the 15th International Conference on Parallel Processing and Applied Mathematics, PPAM 2024, held in Ostrava, Czech Republic, during September 8-11, 2024. The 75 full papers included in this book were carefully reviewed and selected from 134 submissions. . The papers are organized in the following topical sections: Part I: Numerical Algorithms and Parallel Scientific Computing; Architectural Aspects of HPC; Parallel Non-numerical Algorithms; GPU Computing; Performance Analysis and Prediction in HPCSystems; Environments and Frameworks for Parallel/Cloud/Edge Computing; and Applications of Parallel and Distributed Computing. Part II: First PPAM Workshop on RISC-V (RISC-V PPAM 2024); Special Session on Scheduling for Parallel Computing; 10th Workshop on Language-Based Parallel Programming (WLPP 2024); 7th Workshop on Models Algorithms and Methodologies for Hybrid Parallelism in New HPC Systems (MAMHYP 2024); and Second Workshop on Quantum Computing and Communication. Part III: First Workshop on Advancements of Global Challenges Application; Second Workshop on Applications of Machine Learning and Artificial Intelligence in High Performance Computing; 5th Workshop on Applied High Performance Numerical Algorithms for PDEs; Special Session on Parallel EVD/SVD and its Application in Matrix Computations; 6th Minisymposium on HPC Applications in Physical Sciences; and 8th Workshop on Complex Collective Systems.
Digital Twin and Blockchain for Sensor Networks in Smart Cities
Digital twin, blackchain, and wireless sensor networks can work together to improve services in the smart city. Big data derived from wireless sensor networks can be integrated to accommodate the exchange of real-time data between citizens, governments, and organizations. Blockchain can provide high security for large-scale communications and transactions between many stakeholders. Digital twin uses physical models and historical data to integrate big information under multidiscipline, multiphysical quantities, multiscale, and multiprobability conditions. Digital Twin and Blockchain for Sensor Networks in Smart Cities explores how digital twin and blockchain can be optimized to improve services. This book is divided into three parts. Part 1 focuses on the fundamental concepts of blockchain and digital twin for sensor networks in the smart cities, while Part 2 describes their applications for managing the regular operations and services. Part 3 deals with their applications for safe cities.
Digital Twin, Blockchain, and Sensor Networks in the Healthy and Mobile City
In smart cities, information and communication technologies are integrated to exchange real-time data between citizens, governments, and organizations. Blockchain provides security for communication and transactions between multiple stakeholders. Digital twin refers to a simulation of physical products in a virtual space. This simulation fully utilizes the physical models, wireless sensor networks, and historical data of city operation to integrate big information (digital twin cities) under multidiscipline, multiphysical quantities, multiscale, and multiprobability. Digital Twin, Blockchain, and Sensor Networks in the Healthy and Mobile City explores how digital twins and blockchain can be used in smart cities. Part 1 deals with their promising applications for healthy cities. Part 2 covers other promising applications and current perspectives of blockchain and digital twins for future smart society and smart city mobility. Together with its companion volume, Digital Twin and Blockchain for Sensor Networks in Smart Cities, this book helps to understand the vast amount of data around the city to encourage happy, healthy, safe, and productive lives.
Practical Generative AI with ChatGPT - Second Edition
Transform your professional world with ChatGPT and OpenAI-master prompt design to revolutionize development, marketing, research, and enterprise implementationKey Features: - Turn ChatGPT into your companion for marketing, research, personal productivity, art and coding- Learn prompt engineering techniques that deliver consistent, relevant, and ethical AI-powered results- Build custom GPTs and assistants tailored to your specific business needs and workflows- Purchase of the print or Kindle book includes a free PDF eBookBook Description: Practical Generative AI with ChatGPT is your hands-on guide to unlocking the full potential of ChatGPT. From building AI assistants and mastering prompt engineering to analyzing documents and images and even generating code, this book equips you with the skills to integrate generative AI into your workflow.Written by a technical architect specializing in AI and intelligent applications, this book provides the tools and knowledge you need to streamline tasks, enhance productivity, and create intelligent solutions. You'll learn how to craft precise prompts, leverage ChatGPT for daily efficiency, and develop custom AI assistants tailored to your needs.The chapters show you how to use ChatGPT's multimodal capabilities to generate images with DALL-E and even transform images into code. This ChatGPT book goes beyond basic interactions by showing you how to design custom GPTs and integrate OpenAI's APIs into your applications. You'll explore how businesses use OpenAI models, from building AI applications, including semantic search, to creating an AI roadmap. Each chapter is packed with practical examples, ensuring you can apply the techniques right away.By the end of this book, you'll be well equipped to leverage OpenAI's technology for competitive advantage.What You Will Learn: - Explore the fundamentals of generative AI and GPT models- Master prompt engineering to consistently get relevant and reliable outputs from ChatGPT- Develop marketing strategies and conduct meaningful A/B testing with AI assistance- Boost your coding with code generation, review, and optimization- Enhance research with real-time knowledge mining- Enhance your visual creativity with image generation, image understanding, and style transfer- Design custom GPTs and assistants tailored to specific business functions- Discover how enterprises are leveraging large language models for their AI appsWho this book is for: This book is ideal for business professionals, developers, marketers, researchers, and decision-makers who want to leverage AI to enhance productivity. No advanced technical background is required for the foundational sections, making the content accessible to beginners, while later chapters provide depth for technical professionals implementing enterprise solutions. If you're seeking practical applications of generative AI in business contexts, you'll find immediate, actionable value in this book.Table of Contents- Introduction to Generative AI- OpenAI and ChatGPT: Beyond the Market Hype- Understanding Prompt Engineering- Boosting Day-to-Day Productivity with ChatGPT- Developing the Future with ChatGPT- Mastering Marketing with ChatGPT- Research Reinvented with ChatGPT- Unleashing Creativity Visually with ChatGPT- Exploring GPTs- Leveraging OpenAI Models for Enterprise- Scale Applications - Epilogue and Final Thoughts
Brain Informatics
This book constitutes the proceedings of the 17th International Conference on Brain Informatics, BI 2024, which was held in Bangkok, Thailand, during December 13-15, 2024. The 35 full papers 17 workshop papers presented in this book were carefully reviewed and selected from 126 submissions. These papers have been organized in the following topical sections: Pat I- Cognitive and Computational Foundations of Brain Science; Investigations of Human Information Processing Systems; Brain Big Data Analytics, Curation and Management; Informatics Paradigms for Brain and Mental Health Research; Brain-Machine Intelligence and Brain-Inspired Computing. Part II- The International Workshop on Generative AI Empowers Brain Signal Processing (GAIEBSP 2024); The International Workshop on Web Intelligence meets Brain Informatics (WImeetsBI 2024); The 4th Workshop on Environmental Adaptation and Mental Health (EAMH 2024); The International Workshop on Application of Artificial Intelligence and Innovative Technologies in Brain Informatics and Health (AAIITBIH 2024); The International Workshop on Reconstruction and Modeling of the Brain at the Single-Cell Level (RMBSCL 2024); The International Workshop on Mesoscopic Brain-wide Connectivity Atlas in Brainsmatics (MBCAB 2024); The 4th Special Session on Explainable Artificial Intelligence for Unveiling the Brain: From the Black-Box to the Glass-Box (XAIB 2024); The International Workshop on Elucidation of Mechanistic Information using Neuroimaging for Psychiatric Disorders (EMINPD 2024).
Brain Informatics
This book constitutes the proceedings of the 17th International Conference on Brain Informatics, BI 2024, which was held in Bangkok, Thailand, during December 13-15, 2024. The 35 full papers and 17 workshop papers presented in this book were carefully reviewed and selected from 126 submissions. These papers have been organized in the following topical sections: Pat I- Cognitive and Computational Foundations of Brain Science; Investigations of Human Information Processing Systems; Brain Big Data Analytics, Curation and Management; Informatics Paradigms for Brain and Mental Health Research; Brain-Machine Intelligence and Brain-Inspired Computing. Part II- The International Workshop on Generative AI Empowers Brain Signal Processing (GAIEBSP 2024); The International Workshop on Web Intelligence meets Brain Informatics (WImeetsBI 2024); The 4th Workshop on Environmental Adaptation and Mental Health (EAMH 2024); The International Workshop on Application of Artificial Intelligence and Innovative Technologies in Brain Informatics and Health (AAIITBIH 2024); The International Workshop on Reconstruction and Modeling of the Brain at the Single-Cell Level (RMBSCL 2024); The International Workshop on Mesoscopic Brain-wide Connectivity Atlas in Brainsmatics (MBCAB 2024); The 4th Special Session on Explainable Artificial Intelligence for Unveiling the Brain: From the Black-Box to the Glass-Box (XAIB 2024); The International Workshop on Elucidation of Mechanistic Information using Neuroimaging for Psychiatric Disorders (EMINPD 2024).
Integrated Uncertainty in Knowledge Modelling and Decision Making
This two-volume set constitutes the proceedings of the 11th International Symposium on Integrated Uncertainty in Knowledge Modelling and Decision Making, IUKM 2025, held in Ho Chi Minh City, Vietnam, during March 17-19, 2025. The 55 full papers in this book were carefully reviewed and selected from 116 submissions. They were organized in topical sections as follows: Part I: Invited Talks; Machine Learning; Pattern Recognition and Data Analysis; Applications. Part II: Uncertainty Management and Decision Making; Optimization and Statistical Methods; Applications.
Extended Reality
This LNCS conference set constitutes the proceedings of the First International Conference on Extended Reality, ICXR 2024, Xiamen, China, held during November 14-17, 2024.
Computer Vision - Accv 2024 Workshops
This 2-volume LNCS conference set constitutes the proceedings of the 17th Asian Conference on Computer Vision, in Hanoi, Vietnam, held during December 8-12, 2024. The 269 full papers included in this volume were carefully reviewed and selected from 839 submissions. The conference presents and discusses new problems, solutions, and technologies in computer vision, machine learning, and related areas in artificial intelligence.
Neural Network Methods for Dynamic Equations on Time Scales
