In an age where intelligent systems are transforming engineering practice, Artificial Neural Networks for System Identification & Control offers a clear roadmap to mastering AI-driven modeling and control. In an age where in...Loe edasi...
The book provides details regarding the application of various signal processing and artificial intelligence-based methods for electroencephalography data analysis....Loe edasi...
This book covers topics related to Artificial Intelligence, Internet of Things (IoT) , and Data Science for future communications systems. It is beneficial for undergraduate, graduate, postgraduate students, researchers, academicians, institutions,...Loe edasi...
This book presents latest developments in deep learning-enabled healthcare tools and technologies and offers practical ideas of using IoT with deep learning (motion-based object data) to deal with human dynamics, and challenges....Loe edasi...
This book brings together leading experts from around the world to explore the transformative potential of Machine Learning (ML) and the Internet of Things (IoT) in healthcare. It provides a platform for studying a future where healthcare becomes mo...Loe edasi...
This book presents recent theoretical findings on Sliding Mode Control (SMC) issues for various classes of complex nonlinear systems based on Takagi-Sugeno (T-S) fuzzy models. Research results and controller design methods are presented and show h...Loe edasi...
AI Platforms as Global Governance for the Health Ecosystem: The Future’s Global Hospital provides comprehensive and actionable approaches for readers to understand and optimize responsible AI as global governance for the healthcare ecosystem....Loe edasi...
Technological Innovation and Sustainability through AI: Cutting-Edge Solutions for a Sustainable Future explores how advanced artificial intelligence (AI) solutions are being used to drive technological innovations that s...Loe edasi...
Build and deploy high-performance deep learning models using C++ for real-time applications where speed and efficiency matter. Key Features Implement neural networks using the PyTorch C++ API and Caffe2 Optimize and deploy deep...Loe edasi...
Solve machine learning engineering challenges for GenAI applications on AWS and automate the LLMOps workflows using AWS services like Amazon Bedrock and Amazon SageMaker Key Features Learn how to build RAG and agent-based GenAI...Loe edasi...
How are cloud computing, fog computing, edge computing, and artificial intelligence (AI) working together to create intelligent mobile and IoT ecosystems? The fundamental concepts and practical uses of these technologies, showing their transformat...Loe edasi...
Generative AI, Large Language Models, Graph Neural Networks and Knowledge Graphs Applications offers readers a thorough examination of the cutting-edge technologies that are shaping the future of artificial intelligence. Through clear explanat...Loe edasi...
This book studies different classification, detection and decision fusion algorithms, and helps practitioners deal with uncertainty in their data sets. This book studies different classification, detection, and decision fusion algor...Loe edasi...
This book studies different classification, detection and decision fusion algorithms, and helps practitioners deal with uncertainty in their data sets. This book studies different classification, detection and decision fusion algori...Loe edasi...
This book provides an up-to-date and easy-to-read introduction to Generative AI and its revolutionary contribution to building Industry 5.0. Written for both practitioners and interested readers, it is a clear and compelling overview of the techno...Loe edasi...
The AI revolution is here, and at its core lies a game-changing technology that most developers havent fully explored: vector databases. From powering semantic search to enabling large language models (LLMs) and generative AI, vector databases are r...Loe edasi...
The book presents current modelling and simulations of neural networks algorithms, associated challenges and practical revenue associated with their applications. The reported models, algorithms and applications have been presented and discussed f...Loe edasi...
A Comprehensive Guide to Theory and Implementation. Bridging the gap between theory and practice with this extensive guide to neural networks, featuring parallel implementations in both Python and MATLAB. N...Loe edasi...
