Bøger i Intelligent Signal Processing and Data Analysis serien

This book contains different research area of Cognitive IoT and explains how Machine learning algorithms can be applied for Cognitive IoT with applications (Covid-19), student performance evaluation, human healthcare for chronic disease prediction, wearable sensors energy optimization, and in farming.

This book explains real-time IoT application development activity with basic understanding of the IoT architecture, use cases, smart/cloud computing and associated challenges in design and development of the IoT system. All the technical details related to protocol stack, technologies and platforms used for the implementation are explained.

This book focuses on the use of Augmented Reality applications for COVID-19 outbreak along with techniques & platforms to achieve social distancing and sanitization. It contains theoretical and practical knowledge of AR and remedies on how to cope with the technology including multiple use cases along with a set of recommendations.

This book addresses elements of VANET alongwith communication components, functionality and configuration, including issues like security, speed of message forwarding, priority-based forwarding, and malicious node detections and preventions supported by examples, case studies, technical descriptions, scenarios, procedures, algorithms and protocols.

This book offers a detailed overview and concepts of translation bioinformatics (TBI), biological/clinical databases, clinical informatics, and pertinent real-case applications. It explains advancements, tools, techniques, and applications of TBI including IoT, toxin databases, medical image analysis including COVID-19 CT-images, and so forth.

"A CRC title, part of the Taylor & Francis imprint, a member of the Taylor & Francis Group, the academic division of T&F Informa plc."

This book focuses on implementation of a possible Hybrid Image Examination technique for medical images describing various image thresholding and segmentation methods along with essential details, such as test image preparation, implementation of a chosen thresholding operation, evaluation of threshold image, supported by pertinent case studies.

This book emphasizes various image thresholding methods that are necessary for image pre-processing and initial level enhancement. It presents a detailed evaluation, such as choosing the threshold function, need for the heuristic algorithm, choice of objective function, and evaluation of the outcome along with real-time applications in detail.

The focus of this book is data analytics for COVID-19 which includes an overview of COVID-19 in terms of epidemic/pandemic, data processing and knowledge extraction. Data sources, storage and platforms are discussed along with discussion on data models, their performance, different Big data techniques, tools and technologies.