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Recent Advances in Internet of Things and Machine Learning
This book covers a domain that is significantly impacted by the growth of soft computing. Internet of Things (IoT)-related applications are gaining much attention with more and more devices which are getting connected, and they become the potential components of some smart applications. Thus, a global enthusiasm has sparked over various domains such as health, agriculture, energy, security, and retail. So, in this book, the main objective is to capture this multifaceted nature of IoT and machine learning in one single place. According to the contribution of each chapter, the book also provides a future direction for IoT and machine learning research. The objectives of this book are to identify different issues, suggest feasible solutions to those identified issues, and enable researchers and practitioners from both academia and industry to interact with each other regarding emerging technologies related to IoT and machine learning. In this book, we look for novel chapters that recommend new methodologies, recent advancement, system architectures, and other solutions to prevail over the limitations of IoT and machine learning.
Modern Approaches in IoT and Machine Learning for Cyber Security
This book examines the cyber risks associated with Internet of Things (IoT) and highlights the cyber security capabilities that IoT platforms must have in order to address those cyber risks effectively. The chapters fuse together deep cyber security expertise with artificial intelligence (AI), machine learning, and advanced analytics tools, which allows readers to evaluate, emulate, outpace, and eliminate threats in real time. The book’s chapters are written by experts of IoT and machine learning to help examine the computer-based crimes of the next decade. They highlight on automated processes for analyzing cyber frauds in the current systems and predict what is on the horizon. This book is applicable for researchers and professionals in cyber security, AI, and IoT.
Machine Learning and Mechanics Based Soft Computing Applications
This book highlights recent advances in the area of machine learning and robotics-based soft computing applications. The book covers various artificial intelligence, machine learning, and mechanics, a mix of mechanical computational engineering work. The current computing era has a huge market/potential for machine learning, robotics, and soft computing techniques and their applications. With this in view, the book shares latest research and cutting-edge applications useful for professionals and researchers in these areas.
Computational Intelligence in Machine Learning
The book includes select proceedings of the International Conference on Computational Intelligence in Machine Learning (ICCIML 2021). The book constitutes peer-reviewed papers on machine learning, computational intelligence, the internet of things, and smart city applications emphasizing multi-disciplinary research in artificial intelligence and cyber-physical systems. This book addresses the comprehensive nature of computational intelligence, artificial intelligence, machine learning, and deep learning to emphasize its character in modeling, identification, optimization, prediction, forecasting, and control of future intelligent systems. The book will be useful for researchers, research scholars, and students to formulate their research ideas and find future directions in these areas. It will help the readers to solve a diverse range of problems in industries and their real-world applications.
Internet of Medical Things
Internet of Things (IoT) has become a valuable tool for connection and information exchange between devices. This book provides a brief introduction to this new field, focuses on wearable medical devices, and covers the basic concepts by providing the reader with enough information to solve various practical problems. This book provides the latest applications, experiments, fundamentals concepts, and cutting-edge topics for the ehealth and wearable devices field. The book also offers topics related to Security in IoT and Wearable Devices, Wearable Devices and Internet of Medical Devices (IoMT), IoT for Medical Applications, and Tools and study cases. The book brings new and valuable information to PhD researchers, students, professors, and professionals working in IoT and related fields.
Teachers' Roles and Perspectives on AI Integration in Schools
The integration of artificial intelligence (AI) in schools is reshaping the role of teachers, causing new opportunities and challenges in the classroom. As AI technologies become integrated into educational tools and curricula, teachers are positioned as academic leaders expected to guide students in navigating the ethical and practical implications of AI. Teachers' perspectives on AI integration vary, with some embracing it as a powerful tool to personalize learning, enhance student engagement, and streamline administrative tasks, while others express concerns about its potential to undermine human connection and equity in education. Understanding teachers' roles in this landscape is essent...
Advancing SMEs Toward E-Commerce Policies for Sustainability
When traditional shopping becomes challenging, people are inclined to shop online. Recent limitations like government-imposed quarantines, social distancing, and fear of viruses have provided opportunities for the e-commerce business to thrive. Consumers turned to digital options to bypass physical shopping environments, which will undoubtedly influence long-term buyer behavior. Advancing SMEs Toward E-Commerce Policies for Sustainability provides a fresh perspective on how small and medium-sized enterprises (SMEs) can leverage e-commerce for sustainability and considers the best practices and challenges of adoption. Covering topics such as data science, digital ethics, and blockchain, this reference work is ideal for business owners, managers, policymakers, researchers, scholars, academicians, educators, and students.
Smart Technologies in Healthcare Management
Offering a holistic view of the pioneering trends and innovations in smart healthcare management, this book focuses on the methodologies, frameworks, design issues, tools, architectures, and technologies necessary to develop and understand intelligent healthcare systems and emerging applications in the present era. Smart Technologies in Healthcare Management: Pioneering Trends and Applications provides an overview of various technical and innovative aspects, challenges, and issues in smart healthcare, along with recent and novel findings. It highlights the latest advancements and applications in the field of intelligent systems and explores the importance of cloud computing and the design of...
Information Technology for Management: Solving Social and Business Problems Through IT.
The present book includes extended and revised versions of a set of selected papers submitted to the Topical Area of Information Technology for Business and Society, ITBS 2023, and two Thematic Tracks: Information System Management, ISM 2023, and Knowledge Acquisition and Management, KAM 2023, held in Poland, Warsaw, during September 17- 20, 2023. ITBS 2023 received 26 submissions, from which 6 full papers and 2 short papers have been accepted; for ISM 2023 3 full papers and 1 short paper have been accepted from 21 submissions; and for KAM 2023 1 full has been accepted from 7 submissions. From the 6 submissions to DSH 2023, no paper passed the extended reviews. The accepted papers are grouped in sections on IT in Improving of Management Systems, Approaches to Improving of Social Problems, and Methods of Solving Business.
Big Data Analytics for Smart and Connected Cities
To continue providing people with safe, comfortable, and affordable places to live, cities must incorporate techniques and technologies to bring them into the future. The integration of big data and interconnected technology, along with the increasing population, will lead to the necessary creation of smart cities. Big Data Analytics for Smart and Connected Cities is a pivotal reference source that provides vital research on the application of the integration of interconnected technologies and big data analytics into the creation of smart cities. While highlighting topics such as energy conservation, public transit planning, and performance measurement, this publication explores technology integration in urban environments as well as the methods of planning cities to implement these new technologies. This book is ideally designed for engineers, professionals, researchers, and technology developers seeking current research on technology implementation in urban settings.
