Mohd Naved – författare

The book Advances in Distance Learning in Times of Pandemic is devoted to the issues and challenges faced by universities in the field of distance learning in COVID-19 times. It covers both the theoretical and practical aspects connected to distance education. It elaborates on issues regarding distance learning, its challenges, assessment by students and their expectations, the use of tools to improve distance learning, and the functioning of e-learning in the industry 4.0 and society 5.0 eras. The book also devotes a lot of space to the issues of Web 3.0 in university e-learning, quality assurance, and knowledge management. The aim and scope of this book is to draw a holistic picture of ongoing online teaching-activities before and during the lockdown period and present the meaning and future of e-learning from students’ points of view, taking into consideration their attitudes and expectations as well as industry 4.0 and society 5.0 aspects. The book presents the approach to distance learning and how it has changed, especially during a pandemic that revolutionized education.

It highlights

• the function of online education and how that has changed before and during the pandemic.

• how e-learning is beneficial in promoting digital citizenship.

• distance learning characteristic in the era of industry 4.0 and society 5.0.

• how the era of industry 4.0 treats distance learning as a desirable form of education.

The book covers both scientific and educational aspects and can be useful for university-level undergraduate, postgraduate and research-grade courses and can be referred to by anyone interested in exploring the diverse aspects of distance learning.

The book Advances in Distance Learning in Times of Pandemic is devoted to the issues and challenges faced by universities in the field of distance learning in COVID-19 times. It covers both the theoretical and practical aspects connected to distance education. It elaborates on issues regarding distance learning, its challenges, assessment by students and their expectations, the use of tools to improve distance learning, and the functioning of e-learning in the industry 4.0 and society 5.0 eras. The book also devotes a lot of space to the issues of Web 3.0 in university e-learning, quality assurance, and knowledge management. The aim and scope of this book is to draw a holistic picture of ongoing online teaching-activities before and during the lockdown period and present the meaning and future of e-learning from students’ points of view, taking into consideration their attitudes and expectations as well as industry 4.0 and society 5.0 aspects. The book presents the approach to distance learning and how it has changed, especially during a pandemic that revolutionized education.

It highlights

• the function of online education and how that has changed before and during the pandemic.

• how e-learning is beneficial in promoting digital citizenship.

• distance learning characteristic in the era of industry 4.0 and society 5.0.

• how the era of industry 4.0 treats distance learning as a desirable form of education.

The book covers both scientific and educational aspects and can be useful for university-level undergraduate, postgraduate and research-grade courses and can be referred to by anyone interested in exploring the diverse aspects of distance learning.

Supply chain management, often known as SCM, refers to the extensive variety of operations that are required to plan, monitor, and coordinate the movement of a product from its raw materials to its finished state in the most time- and money-efficient manner possible. How the supply chain is managed has an impact not only on the quality of the product and the service but also on the distribution, costs, and overall customer experience. Supply chain management is a massive undertaking that needs firms to reevaluate the method in which they operate their supply chains.

Blockchain, IoT, and AI Technologies for Supply Chain Management discusses the problems and difficulties that the facilitators of the supply chain confront, in addition to the possible solutions to such problems and difficulties. This book will be the only one of its kind to address the impact of COVID-19 on supply chain systems involving different stakeholders such as producers, dealers, and manufacturers and will provide a foundation for future research opportunities that will allow for the unrestricted expansion and prosperity of business. It will serve as a foundation for academics, scientists, and educationists interested in the use of modern technologies in the field of supply chain management, such as the Internet of Things (IoT), Artificial Intelligence (AI), and Blockchain. In addition to those engaged in research, undergraduate and postgraduate students in higher education can also use this publication as a reference book. This book also presents a multifaceted perspective for the general public, including topics such as computer science, the food business, hotel management, fashion, medical, inventory management, and agricultural spheres.

Supply chain management, often known as SCM, refers to the extensive variety of operations that are required to plan, monitor, and coordinate the movement of a product from its raw materials to its finished state in the most time- and money-efficient manner possible. How the supply chain is managed has an impact not only on the quality of the product and the service but also on the distribution, costs, and overall customer experience. Supply chain management is a massive undertaking that needs firms to reevaluate the method in which they operate their supply chains.

Blockchain, IoT, and AI Technologies for Supply Chain Management discusses the problems and difficulties that the facilitators of the supply chain confront, in addition to the possible solutions to such problems and difficulties. This book will be the only one of its kind to address the impact of COVID-19 on supply chain systems involving different stakeholders such as producers, dealers, and manufacturers and will provide a foundation for future research opportunities that will allow for the unrestricted expansion and prosperity of business. It will serve as a foundation for academics, scientists, and educationists interested in the use of modern technologies in the field of supply chain management, such as the Internet of Things (IoT), Artificial Intelligence (AI), and Blockchain. In addition to those engaged in research, undergraduate and postgraduate students in higher education can also use this publication as a reference book. This book also presents a multifaceted perspective for the general public, including topics such as computer science, the food business, hotel management, fashion, medical, inventory management, and agricultural spheres.

Convolutional neural networks (CNNs), a type of deep neural network that has become dominant in a variety of computer vision tasks, in recent years, CNNs have attracted interest across a variety of domains due to their high efficiency at extracting meaningful information from visual imagery. CNNs excel at a wide range of machine learning and deep learning tasks. As sensor-enabled internet of things (IoT) devices pervade every aspect of modern life, it is becoming increasingly critical to run CNN inference, a computationally intensive application, on resource-constrained devices.

Through this edited volume, we aim to provide a structured presentation of CNN-enabled IoT applications in vision, speech, and natural language processing. This book discusses a variety of CNN techniques and applications, including but not limited to, IoT enabled CNN for speech denoising, a smart app for visually impaired people, disease detection, ECG signal analysis, weather monitoring, texture analysis, etc.

Unlike other books on the market, this book covers the tools, techniques, and challenges associated with the implementation of CNN algorithms, computation time, and the complexity associated with reasoning and modelling various types of data. We have included CNNs'' current research trends and future directions.

Convolutional neural networks (CNNs), a type of deep neural network that has become dominant in a variety of computer vision tasks, in recent years, CNNs have attracted interest across a variety of domains due to their high efficiency at extracting meaningful information from visual imagery. CNNs excel at a wide range of machine learning and deep learning tasks. As sensor-enabled internet of things (IoT) devices pervade every aspect of modern life, it is becoming increasingly critical to run CNN inference, a computationally intensive application, on resource-constrained devices.

Through this edited volume, we aim to provide a structured presentation of CNN-enabled IoT applications in vision, speech, and natural language processing. This book discusses a variety of CNN techniques and applications, including but not limited to, IoT enabled CNN for speech denoising, a smart app for visually impaired people, disease detection, ECG signal analysis, weather monitoring, texture analysis, etc.

Unlike other books on the market, this book covers the tools, techniques, and challenges associated with the implementation of CNN algorithms, computation time, and the complexity associated with reasoning and modelling various types of data. We have included CNNs'' current research trends and future directions.

Electronic device usage has increased considerably in the past two decades. System configurations are continuously requiring upgrades; existing systems often become obsolete in a matter of 2–3 years. Green computing is the complete effective management of design, manufacture, use, and disposal, involving as little environmental impact as possible. This book intends to explore new and innovative ways of conserving energy, effective e-waste management, and renewable energy sources to harness and nurture a sustainable eco-friendly environment.

This book:

• Highlights innovative principles and practices using effective e-waste management and disposal

• Explores artificial intelligence based sustainable models

• Discovers alternative sources and mechanisms for minimizing environmental hazards

• Highlights successful case studies in alternative sources of energy

• Presents solid illustrations, mathematical equations, as well as practical in-the-field applications

• Serves as a one-stop reference guide to stakeholders in the domain of green computing, e-waste management, renewable energy alternatives, green transformational leadership including theory concepts, practice and case studies

• Explores cutting-edge technologies like internet of energy and artificial intelligence, especially the role of machine learning and deep learning in renewable energy and creating a sustainable ecosystem

• Explores futuristic trends in renewable energy

This book aims to address the increasing interest in reducing the environmental impact of energy as well as its further development and will act as a useful reference for engineers, architects, and technicians interested in and working with energy systems; scientists and engineers in developing countries; industries, manufacturers, inventors, universities, researchers, and interested consultants to explain the foundation to advanced concepts and research trends in the domain of renewable energy and sustainable computing.

The content coverage of the book is organized in the form of 11 clear and thorough chapters providing a comprehensive view of the global renewable energy scenario, as well as how science and technology can play a vital role in renewable energy.

Electronic device usage has increased considerably in the past two decades. System configurations are continuously requiring upgrades; existing systems often become obsolete in a matter of 2–3 years. Green computing is the complete effective management of design, manufacture, use, and disposal, involving as little environmental impact as possible. This book intends to explore new and innovative ways of conserving energy, effective e-waste management, and renewable energy sources to harness and nurture a sustainable eco-friendly environment.

This book:

• Highlights innovative principles and practices using effective e-waste management and disposal

• Explores artificial intelligence based sustainable models

• Discovers alternative sources and mechanisms for minimizing environmental hazards

• Highlights successful case studies in alternative sources of energy

• Presents solid illustrations, mathematical equations, as well as practical in-the-field applications

• Serves as a one-stop reference guide to stakeholders in the domain of green computing, e-waste management, renewable energy alternatives, green transformational leadership including theory concepts, practice and case studies

• Explores cutting-edge technologies like internet of energy and artificial intelligence, especially the role of machine learning and deep learning in renewable energy and creating a sustainable ecosystem

• Explores futuristic trends in renewable energy

This book aims to address the increasing interest in reducing the environmental impact of energy as well as its further development and will act as a useful reference for engineers, architects, and technicians interested in and working with energy systems; scientists and engineers in developing countries; industries, manufacturers, inventors, universities, researchers, and interested consultants to explain the foundation to advanced concepts and research trends in the domain of renewable energy and sustainable computing.

The content coverage of the book is organized in the form of 11 clear and thorough chapters providing a comprehensive view of the global renewable energy scenario, as well as how science and technology can play a vital role in renewable energy.

This book is devoted to the issues faced by universities in the field of distance learning during and after COVID, as well as in digitalization times. The book devotes a lot of space to the issues of Web 3.0 in university e-learning, Industry 4.0, artificial intelligence and digital equity.

The aim and scope of this book is to draw a holistic picture of education before and after COVID, the psychological effects of COVID in education, and using modern technologies application in education, taking into consideration aspects of sustainability development, Industry 4.0 and Society 5.0. The authors also raise the issue of artificial intelligence investigation in learner-instructor interaction.

Features:

The book is both scientific and educational. It can be used at the university level and by anyone interested in the topics it covers.

This book is devoted to the issues faced by universities in the field of distance learning during and after COVID, as well as in digitalization times. The book devotes a lot of space to the issues of Web 3.0 in university e-learning, Industry 4.0, artificial intelligence and digital equity.

The aim and scope of this book is to draw a holistic picture of education before and after COVID, the psychological effects of COVID in education, and using modern technologies application in education, taking into consideration aspects of sustainability development, Industry 4.0 and Society 5.0. The authors also raise the issue of artificial intelligence investigation in learner-instructor interaction.

Features:

The book is both scientific and educational. It can be used at the university level and by anyone interested in the topics it covers.

In an era where technological advancements are not just tools but partners in our workspaces, Modern Technologies and Tools Supporting the Development of Industry 5.0 emerges as a seminal guide to understanding and navigating the complexities of the Fifth Industrial Revolution. This book, a collective work of expert authors, delves into the heart of Industry 5.0, exploring how it synergizes human creativity with robotic precision to redefine industrial landscapes. From collaborative robotics to sustainable development, each chapter unfolds layers of knowledge essential for professionals, academics, and students alike.

Features

• Covers modern technologies including artificial intelligence, robotics, and the Internet of Everything for modernizing Industry 5.0 and the transformative role of collaborative robots in the workplace and how they are changing the dynamics of human labour.

• Focuses on technologies mimicking human behaviour and reasoning to solve complex problems and explores the evolving role of human expertise in an increasingly automated world and the competencies needed to thrive in this new era.

• Showcases the impact of Industry 5.0 on the environment, and industry commitment to sustainable development by laying a map to understand how Industry 5.0 is steering industries towards sustainable practices, focusing on green supply chains, reverse logistics, and the critical role of internal audits.

• Highlights future perspectives such as smart manufacturing and the Industrial Internet of Things (IIoT) for Industry 5.0 manufacturing processes and provides insights into the challenges and security concerns as industries prepare to adopt Industry 5.0, offering foresight into its long-term impacts on global markets and societies.

• Presents real-time case studies on tools, technologies, architecture, and product outcomes for Industry 5.0.

Modern Technologies and Tools Supporting the Development of Industry 5.0 is more than a book; it’s a roadmap for the future, guiding readers through the intricacies of industrial evolution. It is primarily written for senior undergraduate and graduate students and academic researchers in the fields of industrial engineering, production engineering, mechanical engineering, and aerospace engineering.