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This book presents cutting-edge research, advanced techniques, and practical applications of the integration of Cloud Computing and IoT. It offers in-depth insights, developments, and practical applications, showcasing helpful tools and techniques in IoT and Cloud Computing.
Interactive media are a human-machine interface that allows people to connect with each other by making them active... Læs mere
This book presents a novel method of multimodal biometric fusion using a random selection of biometrics, which covers a... 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.
This book constitutes the refereed revised selected papers of the 10th... Læs mere
This book constitutes selected and revised papers from the 23rd International Conference on Mathematical Modeling and Supercomputer Technologies, MMST 2023, held in Nizhny Novgorod, Russia, during November 13–16 2023.
This book discusses state-of-the-art reviews of the existing machine-learning techniques and algorithms including hybridizations and optimizations. It is aimed at graduate students and researchers in machine learning, artificial intelligence, and electrical engineering.
In today’s digital world, the words “smart” and intelligent” are now used to label devices,... Læs mere
Computer vision is an effective solution in a range of real-life applications. With the advent of the machine and deep learning paradigms, this book... Læs mere
The book offers a critical exploration of the integration of AI, blockchain, and metaverse technology in the hospitality and tourism industry to investigate the potential of these technologies in revolutionizing the industry.
The book presents a comprehensive and interdisciplinary exploration of the impact of AI on various sectors of society to foster a greater understanding of... Læs mere
This book focuses on the current trends in research and analysis of virtual machine placement in a cloud data center. It discusses the integration of machine learning models and meta-heuristic approaches for placement techniques.