This book explores RSSI-based localization, device-free detection, and machine learning integration, providing practical insights into wireless sensing applications for navigation, security, healthcare, and intelligent IoT systems.
Traditionally, classical multivariate statistical methods have been applied to relate cultural materials recovered at archaeological sites to their... Læs mere
This book explores advanced methodologies and empirical research in machine learning through data mining and GPU-based parallel programming. It highlights the integration of modern deep learning techniques with CUDA architecture for efficient big data processing.
This collection of chapters from specialists presents principles and practices of machine learning, along with a number of example areas of site... Læs mere
This book explores how advanced machine learning techniques are transforming healthcare, highlighting innovative applications in... Læs mere
The book explores quantum computing's transformative impact on artificial intelligence and machine learning. Beyond theoretical knowledge, the book emphasizes practical implementation and offers code samples and real-world case studies.
Mathematics is the foundation of machine learning algorithms. To understand the shortcomings of existing algorithms and develop more effective methods, it is essential to understand the mathematical concepts underlying these algorithms and their operational principles.
Programmers have a unique superpower when it comes to managing financial stock analysis, price forecasting, and strategic investing. Using popular open-source Python libraries... Læs mere
Designed for students, engineers, and researchers, this book offers a principled yet practical roadmap to building secure, scalable, and trustworthy FL systems from scratch.