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5 result(s) for "Peng, Sheng-Lung, editor"
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IoT and AI technologies for sustainable living : a practical handbook
\"This book brings together all the latest methodologies, tools and techniques related to the Internet of Things and Artificial Intelligence in a single volume to build insight into their use in the sustainable living. The applications include areas such as agriculture, smart farming, healthcare, bioinformatics, self-diagnosis system, body sensor network, multimedia mining, multimedia in forensics and security. It provides a comprehensive discussion of modeling and implementation in water resource optimization, recognizing pest pattern, traffic scheduling, web mining, cyber security and cyber forensics. It will help develop an understanding of the need of AI and IoT to have a sustainable era of human living Tools covered include genetic algorithms, cloud computing, water resource management, web mining, machine learning, block chaining, learning algorithm, sentimental analysis and NLP. It is a valuable source of knowledge for researchers, engineers, practitioners, and graduate and doctoral students working in the field of cloud computing. It will also be useful for faculty members of graduate schools and universities\"-- Provided by publisher.
Blockchain and IoT based Smart Healthcare Systems
New technologies like blockchain and Internet of Things (IoT) are constantly improving the state-of-the-art in healthcare services. The trend of keeping medical records in digital formats is also increasing the reliance of modern healthcare service providers on these new technologies. This edited book brings a collection of reviews on blockchain and IoT technologies that are driving innovation in digital and smart healthcare systems. The editors bring an academic and practical approach to assist professionals and readers in understanding computerized healthcare solutions. 16 referenced chapters provide knowledge about fundamental framework, research insights, and empirical evidence for effective smart healthcare applications. The chapters also cover benefits and challenges of specific smart health frameworks, giving an informative overview of the subject. Key themes of the book include: 1. Technological Foundations for Smart Healthcare 2. Blockchain Applications in Healthcare 3. Internet of Things (IoT) in Healthcare 4. Artificial Intelligence (AI) Integration 5. Security, Privacy, and Authentication 6. Medical Imaging and Deep Learning 7. Telemedicine The content in the book is designed to help administrators and healthcare professionals to understand the basics of blockchain tech and IoT in smart healthcare systems and strengthen the competitive advantage of their clinics. Readership Healthcare professionals and administrators.
The role of IoT and blockchain : techniques and applications
\"The Role of IoT and Blockchain: Techniques and Applications provides an informative collection of chapters on the emerging issues, challenges, and new methods and state-of-the-art technologies in the Internet of Things and blockchain technology. It presents case studies and solutions that can be applied in the current business scenario, resolving challenges and providing solutions by integrating IoT with blockchain technology.\"-- Provided by publisher.
Design and analysis of security protocol for communication
The purpose of designing this book is to discuss and analyze security protocols available for communication.Objective is to discuss protocols across all layers of TCP/IP stack and also to discuss protocols independent to the stack.
Computational Intelligence and Machine Learning Approaches in Biomedical Engineering and Health Care Systems
Computational Intelligence and Machine Learning Approaches in Biomedical Engineering and Health Care Systems explains the emerging technology that currently drives computer-aided diagnosis, medical analysis and other electronic healthcare systems. 11 book chapters cover advances in biomedical engineering fields achieved through deep learning and soft-computing techniques. Readers are given a fresh perspective of how intelligent systems impact patient outcomes for healthcare professionals who are assisted by advanced computing algorithms. Key Features: - Covers emerging technologies in biomedical engineering and healthcare that assist physicians in diagnosis, treatment, and surgical planning in a multidisciplinary context - Provides examples of technical use cases for artificial intelligence, machine learning and deep learning in medicine, with examples of different algorithms - Introduces readers to the concept of telemedicine and electronic healthcare systems - Provides implementations of disease prediction models for different diseases including cardiovascular diseases, diabetes and Alzheimer's disease - Summarizes key information for learners - Includes references for advanced readers The book serves as an essential reference for academic readers, as well as computer science enthusiasts who want to familiarize themselves with the practical computing techniques in the field of biomedical engineering (with a focus on medical imaging) and medical informatics.