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This book aims to explore how to automate, innovate, design, and deploy emerging technologies in... Læs mere
This book provides a thorough exploration of the intersection between gender-based healthcare disparities and the transformative potential of AI and Machine Learning. It covers a wide range of topics from fundamental concepts to practical applications.
In a changing technological world, prioritizing the cultivation of sustainability and environmental consciousness is... Læs mere
In an era defined by rapid digital transformation, "Agile Security in the Digital Era: Challenges and Cybersecurity Trends" emerges as a pivotal resource for navigating the complex and ever-evolving cybersecurity landscape.
This book explores the latest research in high performance domain-specific computer architectures... Læs mere
Federated machine learning is a novel approach to combining distributed machine learning, cryptography,... Læs mere
This book explores the synergy between VLSI and Machine Learning and its applications across various domains. It will... Læs mere
This book provides an examination of cutting-edge research and developments in the field of Artificial Intelligence. It seeks to extend the... Læs mere
Road transport is on a constant course to maintain and improve safety. Approaches to Road Safety: Evolution, Challenges, and... Læs mere
The book aims to demonstrate the effectiveness of federated learning in high-performance information systems and informatics-based solutions for addressing current information support requirements.
The book provides a foundational guide to statistical computing and visualisation Using R programming with an emphasis on practical data analysis skills that are directly applicable to diverse fields like finance, defence, health, and education.
The idea of signals and systems arises in different disciplines such as science, engineering, economics, politics and medicine.