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Computer Networks and Inventive Communication Technologies
This book is a collection of peer-reviewed best selected research papers presented at 5th International Conference on Computer Networks and Inventive Communication Technologies (ICCNCT 2022). The book covers new results in theory, methodology, and applications of computer networks and data communications. It includes original papers on computer networks, network protocols and wireless networks, data communication technologies, and network security. The proceedings of this conference is a valuable resource, dealing with both the important core and the specialized issues in the areas of next generation wireless network design, control, and management, as well as in the areas of protection, assurance, and trust in information security practice. It is a reference for researchers, instructors, students, scientists, engineers, managers, and industry practitioners for advance work in the area.
Challenges in Information, Communication and Computing Technology
This book explores the critical challenges and emerging trends in Information, Communication, and Computing Technology (ICCT). It provides a comprehensive overview of the key issues facing these rapidly evolving fields, from data security and privacy to advancements in artificial intelligence, communication networks, and quantum computing. Through in-depth analysis and expert perspectives, this volume aims to shed light on the complexities of ICCT and offer innovative solutions for researchers, practitioners, and students. Building on its exploration of challenges in ICCT, this book delves into several core areas. These include the development and deployment of secure and efficient communica...
Solving Fundamental Challenges of Electric Vehicles
With a growing population and increased mobility, global societies are facing the urgent need to transition to sustainable transportation solutions. However, the widespread adoption of electric vehicles (EVs) is hindered by challenges, from limitations in battery technology to the scarcity of charging infrastructure. These obstacles impede progress toward a cleaner future and limit EVs' potential economic and social benefits. Solving Fundamental Challenges of Electric Vehicles offers a comprehensive roadmap to navigate the complexities of EV adoption. It delves into critical issues such as battery technology advancements, charging infrastructure development, and policy and regulatory frameworks. The book empowers stakeholders to overcome these challenges and accelerate the transition to electric mobility by providing insights into innovative solutions and breakthrough technologies.
Implementation of Machine Learning Algorithms Using Control-Flow and Dataflow Paradigms
Based on current literature and cutting-edge advances in the machine learning field, there are four algorithms whose usage in new application domains must be explored: neural networks, rule induction algorithms, tree-based algorithms, and density-based algorithms. A number of machine learning related algorithms have been derived from these four algorithms. Consequently, they represent excellent underlying methods for extracting hidden knowledge from unstructured data, as essential data mining tasks. Implementation of Machine Learning Algorithms Using Control-Flow and Dataflow Paradigms presents widely used data-mining algorithms and explains their advantages and disadvantages, their mathematical treatment, applications, energy efficient implementations, and more. It presents research of energy efficient accelerators for machine learning algorithms. Covering topics such as control-flow implementation, approximate computing, and decision tree algorithms, this book is an essential resource for computer scientists, engineers, students and educators of higher education, researchers, and academicians.
Intelligent Sustainable Systems
This book features research papers presented at the 4th International Conference on Intelligent Sustainable Systems (ICISS 2021), held at SCAD College of Engineering and Technology, Tirunelveli, Tamil Nadu, India, during February 26–27, 2021. The book discusses the latest research works that discuss the tools, methodologies, practices, and applications of sustainable systems and computational intelligence methodologies. The book is beneficial for readers from both academia and industry.
Materials Science, Mechanical Structures and Engineering
Selected, peer reviewed papers from the 2014 2nd International Conference on Mechanical Structures and Smart Materials (2nd ICMSSM 2014), August 16-17, 2014, Kuala Lumpur, Malaysia
Applied Engineering Decisions in the Context of Sustainable Development
Selected, peer reviewed papers from the 2014 International Conference on Green Materials and Environmental Engineering (GMEE 2014), September 21-22, 2014, Hong Kong
Pioneering Smart Healthcare 5.0 with IoT, Federated Learning, and Cloud Security
The Healthcare sector is experiencing a mindset change with the advent of Healthcare 5.0, bringing forth improved patient care and system efficiency. However, this transformation poses significant challenges. The growing digitization of healthcare systems raises concerns about the security and privacy of patient data, making seamless data sharing and collaboration increasingly complex tasks. Additionally, as the volume of healthcare data expands exponentially, efficient handling and analysis become vital for optimizing healthcare delivery and patient outcomes. Addressing these multifaceted issues is crucial for healthcare professionals, IT experts, data scientists, and researchers seeking to...
Soft Computing in Data Science
This book constitutes the refereed proceedings of the 6th International Conference on Soft Computing in Data Science, SCDS 2021, which was held virtually in November 2021. The 31 revised full papers presented were carefully reviewed and selected from 79 submissions. The papers are organized in topical sections on AI techniques and applications; data analytics and technologies; data mining and image processing; machine & statistical learning.
