This book aims to solve the discrete implementation problems of continuous-time neural network models while improving the performance of neural networks by using various Zhang Time Discretization (ZTD) formulas.
Learn C++ game programming through real-world demos of AI systems, animation, and rendering to build scalable, high-performance games using patterns you can reuse across any game engineKey FeaturesBuild real-time 2D and 3D games using C++ with practical, executable examplesGain proficiency in game programming domains like AI pathfinding, camera systems, animation, and rendering effectsBoost runtime efficiency with practical techniques like object pooling, LOD patterns, and terrain partitioning to create smoother, more responsive gameplay systemsBook DescriptionCreating responsive, intelligent games takes more than just following engine tutorials.
Tauchen Sie ein in die faszinierende Welt der Large Language Models (LLMs) und entdecken Sie, wie Sie diese mächtigen Werkzeuge nutzen können, um Ihre eigenen KI-Lösungen erfolgreich zu gestalten.
This book addresses and disseminates state-of-the-art research and development in the applications of soft computing techniques for renewable energy systems.
This textbook introduces the fundamental concepts and techniques used in biometric recognition to students, practitioners, and non-experts in the field.
This book provides an insight into 12th International Conference on Soft Computing for Problem Solving (SocProS 2023), organized by The Department of Applied Mathematics and Scientific Computing, Saharanpur Campus of Indian Institute of Technology, Roorkee, India, in conjunction with Continuing Education Center during 11-13 August 2023.
Mathematical Foundations of Computer Science introduces students to the discrete mathematics needed later in their Computer Science coursework with theory of computation topics interleaved throughout.
This book provides an insight into 12th International Conference on Soft Computing for Problem Solving (SocProS 2023), organized by The Department of Applied Mathematics and Scientific Computing, Saharanpur Campus of Indian Institute of Technology, Roorkee, India, in conjunction with Continuing Education Center during 11-13 August 2023.
Collecting scattered knowledge into one coherent account, this book provides a compendium of both classical and recently developed results on reversible computing.
The topic of using views to answer queries has been popular for a few decades now, as it cuts across domains such as query optimization, information integration, data warehousing, website design, and, recently, database-as-a-service and data placement in cloud systems.
Die algorithmische Graphentheorie ist ein Bereich der Informatik, der sich mit der Entwicklung und Analyse von Algorithmen für Probleme befasst, welche mithilfe von Graphen modelliert werden.
Complex Networks: An Algorithmic Perspective supplies the basic theoretical algorithmic and graph theoretic knowledge needed by every researcher and student of complex networks.
This book presents common techniques used in numerous models, algorithms, and tools developed during the last decade to implement desktop grid computing.
This book aims to solve the discrete implementation problems of continuous-time neural network models while improving the performance of neural networks by using various Zhang Time Discretization (ZTD) formulas.
This book presents the state-of-the-art methods in Linear Integer Programming, including some new algorithms and heuristic methods developed by the authors in recent years.
Predictive Intelligence in Biomedical and Health Informatics focuses on imaging, computer-aided diagnosis and therapy as well as intelligent biomedical image processing and analysis.
Predictive Intelligence in Biomedical and Health Informatics focuses on imaging, computer-aided diagnosis and therapy as well as intelligent biomedical image processing and analysis.
Computational Approaches in Bioengineering, Volume 2-Computational Approaches in Biomaterials and Biomedical Engineering Applications is a comprehensive and up-to-date resource that provides a broad overview of the use of computational methods in the fields of biomaterials and biomedical engineering.
The book highlights how technologies including artificial intelligence and machine learning are transforming renewable energy technologies and enabling the development of new solutions.
This volume examines how the adoption of AI technologies is likely to impact strategic and operational planning, and the possible future tactical scenarios for conventional, unconventional, cyber, space and nuclear force structures.
This volume examines how the adoption of AI technologies is likely to impact strategic and operational planning, and the possible future tactical scenarios for conventional, unconventional, cyber, space and nuclear force structures.
Volume 1 of Computational Approaches in Bioengineering-Computational Approaches in Biotechnology and Bioinformatics-explores many significant topics of biomedical engineering and bioinformatics in an easily understandable format.
Computational Approaches in Bioengineering, Volume 2-Computational Approaches in Biomaterials and Biomedical Engineering Applications is a comprehensive and up-to-date resource that provides a broad overview of the use of computational methods in the fields of biomaterials and biomedical engineering.
This book highlights the use of explainable artificial intelligence (XAI) for healthcare problems, in order to improve trustworthiness, performance and sustainability levels in the context of applications.
This textbook features new material on advanced topics, such as calculating Fourier transforms, finding minimum cost flows in graphs, and using automata in string problems.
This book provides a foundation in stochastic, linear, and mixed-integer programming algorithms with a focus on practical computer algorithm implementation.
This book presents a comprehensive exploration of quantum computing, exploring its wide-ranging applications across industries, elucidating its transformative impact on diverse sectors, and addressing the forthcoming challenges and future directions within this rapidly evolving field.
Dieses Buch dient als prägnantes Lehrbuch für Studenten in einem fortgeschrittenen Undergraduate- oder First-Year-Graduate-Kurs in verschiedenen Disziplinen wie angewandte Mathematik, Steuerung und Ingenieurwesen, die den modernen Standard der numerischen Methoden von gewöhnlichen und verzögerten Differentialgleichungen verstehen wollen.
