Iot Sensors Ml Ai And Xai Empowering A Smarter World
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IoT Sensors, ML, AI and XAI: Empowering A Smarter World
This book uncovers and presents various real-life applications in the areas of transportation, smart cities, manufacturing, agriculture, disaster management, finance, health care and in other areas by using cutting-edge advanced Machine Learning (ML) techniques such as Deep Learning and Explainable AI (XAI) models using IoT sensor data. The book provides various examples of analyzing large amounts of data, detecting patterns, and making predictions in real-time applications and detailed case studies with practical solutions using various state-of-the-art machine learning and IoT sensor data and all these aspects will benefit the stakeholders. The book is useful for academics, researchers, upper-undergraduate, master and Ph.D. students, engineers and practitioners in sensor/IoT and AI/ML technologies, methods, applications, and related areas, and it also offers valuable insights by suggesting future research directions and providing recommendations within the fields of AI and IoT.
Industry 5.0
This edited book aims to comprehensively examine the current research trend, state-of-the-art IoT applications, deployment issues, potential challenges, and future research scopes related to Industry 5.0 and Industry 5.0-enabled technologies such as Blockchain, edge computing, 5G, and cloud computing. The book aims to provide a thorough understanding of the application specifications and related issues of IoT in the fields of healthcare 5.0, predictive maintenance, sustainable cities, and transportation systems. Readers of the book will gain valuable insights into applying the concepts to real-world applications and will be introduced to the latest tools, software, and simulations available for experimenting with Industry 5.0 and ideas about diverse IIoT data analysis. The book will also provide valuable insights into the use of AI tools and algorithms for designing intelligent systems to tackle Industry 5.0 issues. It is of great value to readers interested in understanding the integration of Blockchain, edge computing, 5G, and its sister technologies with IIoT and the research scope to solve Industry 5.0 issues.
Principles and Methods of Explainable Artificial Intelligence in Healthcare
Author: Victor Hugo C. De Albuquerque
language: en
Publisher: Medical Information Science Reference
Release Date: 2022
"This book focuses on the Explainable Artificial Intelligence (XAI) for healthcare, providing a broad overview of state-of-art approaches for accurate analysis and diagnosis, and encompassing computational vision processing techniques that handle complex data like physiological information, electronic healthcare records, medical imaging data that assist in earlier prediction"--