Convergence Of Artificial Intelligence And Internet Of Things For Industrial Automation

Download Convergence Of Artificial Intelligence And Internet Of Things For Industrial Automation full books in PDF, epub, and Kindle. Read online Convergence Of Artificial Intelligence And Internet Of Things For Industrial Automation ebook anywhere anytime directly on your device. Fast Download speed and no annoying ads. We cannot guarantee that every ebooks is available!

Convergence of Artificial Intelligence and Internet of Things for Industrial Automation

Author : Divya Mishra
Publisher : CRC Press
ISBN 13 : 1040112048
Total Pages : 222 pages
Book Rating : 4.0/5 (41 download)

DOWNLOAD NOW!

Book Synopsis Convergence of Artificial Intelligence and Internet of Things for Industrial Automation by : Divya Mishra

Download or read book Convergence of Artificial Intelligence and Internet of Things for Industrial Automation written by Divya Mishra and published by CRC Press. This book was released on 2024-10-07 with total page 222 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book begins by discussing the fundamentals of Artificial Intelligence, the Internet of Things, and their convergence. It then covers techniques, algorithms, and methods of analysing and processing data over the Artificial Intelligence of Things. The text elaborates on important concepts such as body sensor networks for safety in smart factories, smart energy management, smart robotic assistive systems, and service-oriented smart manufacturing. This book: • Discusses the security and privacy aspect of Artificial Intelligence of Things (AIoT) for smart real-time applications. • Explores challenges and issues of Artificial Intelligence and the Internet of Things in the field of industrial automation. • Includes case studies in Artificial Intelligence of Things (AIoT) convergence for data processing. • Showcases algorithms, techniques, and methods of analysing and processing data over the Artificial Intelligence of Things. • Highlights operation management using human-robot, smart maintenance, and autonomous production. It will serve as an ideal reference text for senior undergraduate, graduate students, and professionals in fields including industrial engineering, production engineering, manufacturing engineering, operations research, and computer engineering.

Artificial Intelligence and IoT

Author : Kalaiselvi Geetha Manoharan
Publisher : Springer Nature
ISBN 13 : 9813364009
Total Pages : 267 pages
Book Rating : 4.8/5 (133 download)

DOWNLOAD NOW!

Book Synopsis Artificial Intelligence and IoT by : Kalaiselvi Geetha Manoharan

Download or read book Artificial Intelligence and IoT written by Kalaiselvi Geetha Manoharan and published by Springer Nature. This book was released on 2021-02-12 with total page 267 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book projects a futuristic scenario that is more existent than they have been at any time earlier. To be conscious of the bursting prospective of IoT, it has to be amalgamated with AI technologies. Predictive and advanced analysis can be made based on the data collected, discovered and analyzed. To achieve all these compatibility, complexity, legal and ethical issues arise due to automation of connected components and gadgets of widespread companies across the globe. While these are a few examples of issues, the authors’ intention in editing this book is to offer concepts of integrating AI with IoT in a precise and clear manner to the research community. In editing this book, the authors’ attempt is to provide novel advances and applications to address the challenge of continually discovering patterns for IoT by covering various aspects of implementing AI techniques to make IoT solutions smarter. The only way to remain pace with this data generated by the IoT and acquire the concealed acquaintance it encloses is to employ AI as the eventual catalyst for IoT. IoT together with AI is more than an inclination or existence; it will develop into a paradigm. It helps those researchers who have an interest in this field to keep insight into different concepts and their importance for applications in real life. This has been done to make the edited book more flexible and to stimulate further interest in topics. All these motivated the authors toward integrating AI in achieving smarter IoT. The authors believe that their effort can make this collection interesting and highly attract the student pursuing pre-research, research and even master in multidisciplinary domain.

Revolutionizing Industrial Automation Through the Convergence of Artificial Intelligence and the Internet of Things

Author : Mishra, Divya Upadhyay
Publisher : IGI Global
ISBN 13 : 1668449935
Total Pages : 298 pages
Book Rating : 4.6/5 (684 download)

DOWNLOAD NOW!

Book Synopsis Revolutionizing Industrial Automation Through the Convergence of Artificial Intelligence and the Internet of Things by : Mishra, Divya Upadhyay

Download or read book Revolutionizing Industrial Automation Through the Convergence of Artificial Intelligence and the Internet of Things written by Mishra, Divya Upadhyay and published by IGI Global. This book was released on 2022-09-23 with total page 298 pages. Available in PDF, EPUB and Kindle. Book excerpt: With the development of innovative technologies, the study of industrial automation is obtaining extraordinary attention from academia, governments, researchers, and various industrial communities. The technical innovations in advanced technologies such as deep learning, blockchain, artificial intelligence of things (AIOT), and more have unlocked the potential for bringing intelligent automation and efficiency to the industries to control their various operations. These new technologies provide an efficient and secure way for industries to manage and develop products intelligently. Revolutionizing Industrial Automation Through the Convergence of Artificial Intelligence and the Internet of Things includes the recent advancements in exploring and developing AIOT-powered strategies and mechanisms for future industrial automation and transforming industrial functions and architectures to help improve various industrial operations. Covering topics such as convolutional neural networks, smart urban logistics, and industrial automation, this premier reference source is an excellent resource for computer scientists, IT managers, engineers, business leaders and executives, logistics managers, students and faculty of higher education, libraries, researchers, and academicians.

Machine Learning Approaches for Convergence of IoT and Blockchain

Author : Krishna Kant Singh
Publisher : John Wiley & Sons
ISBN 13 : 1119761875
Total Pages : 258 pages
Book Rating : 4.1/5 (197 download)

DOWNLOAD NOW!

Book Synopsis Machine Learning Approaches for Convergence of IoT and Blockchain by : Krishna Kant Singh

Download or read book Machine Learning Approaches for Convergence of IoT and Blockchain written by Krishna Kant Singh and published by John Wiley & Sons. This book was released on 2021-07-16 with total page 258 pages. Available in PDF, EPUB and Kindle. Book excerpt: MACHINE LEARNING APPROACHES FOR CONVERGENCE OF IOT AND BLOCKCHAIN The unique aspect of this book is that its focus is the convergence of machine learning, IoT, and blockchain in a single publication. Blockchain technology and the Internet of Things (IoT) are two of the most impactful trends to have emerged in the field of machine learning. Although there are a number of books available solely on the subjects of machine learning, IoT and blockchain technology, no such book has been available which focuses on machine learning techniques for IoT and blockchain convergence until now. Thus, this book is unique in terms of the topics it covers. Designed as an essential guide for all academicians, researchers, and those in industry who are working in related fields, this book will provide insights into the convergence of blockchain technology and the IoT with machine learning. Highlights of the book include: Examines many industries such as agriculture, manufacturing, food production, healthcare, the military, and IT Security of the Internet of Things using blockchain and AI Developing smart cities and transportation systems using machine learning and IoT Audience The target audience of this book is professionals and researchers (artificial intelligence specialists, systems engineers, information technologists) in the fields of machine learning, IoT, and blockchain technology.

Blockchain and AI Technology in the Industrial Internet of Things

Author : Pani, Subhendu Kumar
Publisher : IGI Global
ISBN 13 : 1799866955
Total Pages : 317 pages
Book Rating : 4.7/5 (998 download)

DOWNLOAD NOW!

Book Synopsis Blockchain and AI Technology in the Industrial Internet of Things by : Pani, Subhendu Kumar

Download or read book Blockchain and AI Technology in the Industrial Internet of Things written by Pani, Subhendu Kumar and published by IGI Global. This book was released on 2021-01-08 with total page 317 pages. Available in PDF, EPUB and Kindle. Book excerpt: Blockchain and artificial intelligence (AI) in industrial internet of things is an emerging field of research at the intersection of information science, computer science, and electronics engineering. The radical digitization of industry coupled with the explosion of the internet of things (IoT) has set up a paradigm shift for industrial and manufacturing companies. There exists a need for a comprehensive collection of original research of the best performing methods and state-of-the-art approaches in this area of blockchain, AI, and the industrial internet of things in this new era for industrial and manufacturing companies. Blockchain and AI Technology in the Industrial Internet of Things compares different approaches to the industrial internet of things and explores the direct impact blockchain and AI technology have on the betterment of the human life. The chapters provide the latest advances in the field and provide insights and concerns on the concept and growth of the industrial internet of things. While including research on security and privacy, supply chain management systems, performance analysis, and a variety of industries, this book is ideal for professionals, researchers, managers, technologists, security analysts, executives, practitioners, researchers, academicians, and students looking for advanced research and information on the newest technologies, advances, and approaches for blockchain and AI in the industrial internet of things.

Machine Learning and IoT for Intelligent Systems and Smart Applications

Author : Madhumathy P
Publisher : CRC Press
ISBN 13 : 1000484963
Total Pages : 243 pages
Book Rating : 4.0/5 (4 download)

DOWNLOAD NOW!

Book Synopsis Machine Learning and IoT for Intelligent Systems and Smart Applications by : Madhumathy P

Download or read book Machine Learning and IoT for Intelligent Systems and Smart Applications written by Madhumathy P and published by CRC Press. This book was released on 2021-11-17 with total page 243 pages. Available in PDF, EPUB and Kindle. Book excerpt: The fusion of AI and IoT enables the systems to be predictive, prescriptive, and autonomous, and this convergence has evolved the nature of emerging applications from being assisted to augmented, and ultimately to autonomous intelligence. This book discusses algorithmic applications in the field of machine learning and IoT with pertinent applications. It further discusses challenges and future directions in the machine learning area and develops understanding of its role in technology, in terms of IoT security issues. Pertinent applications described include speech recognition, medical diagnosis, optimizations, predictions, and security aspects. Features: Focuses on algorithmic and practical parts of the artificial intelligence approaches in IoT applications. Discusses supervised and unsupervised machine learning for IoT data and devices. Presents an overview of the different algorithms related to Machine learning and IoT. Covers practical case studies on industrial and smart home automation. Includes implementation of AI from case studies in personal and industrial IoT. This book aims at Researchers and Graduate students in Computer Engineering, Networking Communications, Information Science Engineering, and Electrical Engineering.

Advancements in Intelligent Process Automation

Author : Thangam, Dhanabalan
Publisher : IGI Global
ISBN 13 :
Total Pages : 776 pages
Book Rating : 4.3/5 (693 download)

DOWNLOAD NOW!

Book Synopsis Advancements in Intelligent Process Automation by : Thangam, Dhanabalan

Download or read book Advancements in Intelligent Process Automation written by Thangam, Dhanabalan and published by IGI Global. This book was released on 2024-10-01 with total page 776 pages. Available in PDF, EPUB and Kindle. Book excerpt: In the current fast-paced business environment, organizations face the challenge of improving operational efficiency and driving innovation while dealing with complex technological landscapes. Many organizations require assistance exploiting intelligent process automation's full potential (IPA). This is often due to a need for more comprehensive understanding or clear implementation strategies. As a result, they need to help their workflows, optimize resources, and adapt effectively to changing market demands. Advancements in Intelligent Process Automation bridges this gap by providing a holistic view of IPA, encompassing RPA, AI, and ML, among other key technologies. Through real-world case studies, strategic guidelines, and interdisciplinary perspectives, the book offers actionable insights that are not just theoretical, but practical and implementable. This ensures that organizations seeking to implement IPA can do so seamlessly, without feeling overwhelmed or unsure. Addressing ethical and regulatory considerations ensures responsible AI practices and compliance, fostering a sustainable approach to automation.

Data-Driven Farming

Author : Syed Nisar Hussain Bukhari
Publisher : CRC Press
ISBN 13 : 1040037232
Total Pages : 301 pages
Book Rating : 4.0/5 (4 download)

DOWNLOAD NOW!

Book Synopsis Data-Driven Farming by : Syed Nisar Hussain Bukhari

Download or read book Data-Driven Farming written by Syed Nisar Hussain Bukhari and published by CRC Press. This book was released on 2024-06-13 with total page 301 pages. Available in PDF, EPUB and Kindle. Book excerpt: In the dynamic realm of agriculture, artificial intelligence (AI) and machine learning (ML) emerge as catalysts for unprecedented transformation and growth. The emergence of big data, Internet of Things (IoT) sensors, and advanced analytics has opened up new possibilities for farmers to collect and analyze data in real-time, make informed decisions, and increase efficiency. AI and ML are key enablers of data-driven farming, allowing farmers to use algorithms and predictive models to gain insights into crop health, soil quality, weather patterns, and more. Agriculture is an industry that is deeply rooted in tradition, but the landscape is rapidly changing with the emergence of new technologies. Data-Driven Farming: Harnessing the Power of AI and Machine Learning in Agriculture is a comprehensive guide that explores how the latest advances in technology can help farmers make better decisions and maximize yields. It offers a detailed overview of the intersection of data, AI, and ML in agriculture and offers real-world examples and case studies that demonstrate how these tools can help farmers improve efficiency, reduce waste, and increase profitability. Exploring how AI and ML can be used to achieve sustainable and profitable farming practices, the book provides an introduction to the basics of data-driven farming, including an overview of the key concepts, tools, and technologies. It also discusses the challenges and opportunities facing farmers in today’s data-driven landscape. Covering such topics as crop monitoring, weather forecasting, pest management, and soil health management, the book focuses on analyzing data, predicting outcomes, and optimizing decision-making in a range of agricultural contexts.

BLOCKCHAIN AND THE INTERNET OF THINGS (IOT): A CONVERGENCE OF TECHNOLOGIES

Author : Dr. Gargishankar Verma
Publisher : Xoffencerpublication
ISBN 13 : 8119534840
Total Pages : 207 pages
Book Rating : 4.1/5 (195 download)

DOWNLOAD NOW!

Book Synopsis BLOCKCHAIN AND THE INTERNET OF THINGS (IOT): A CONVERGENCE OF TECHNOLOGIES by : Dr. Gargishankar Verma

Download or read book BLOCKCHAIN AND THE INTERNET OF THINGS (IOT): A CONVERGENCE OF TECHNOLOGIES written by Dr. Gargishankar Verma and published by Xoffencerpublication. This book was released on 2023-10-30 with total page 207 pages. Available in PDF, EPUB and Kindle. Book excerpt: The Internet of Things (IoT) is a technology that enables a network of physical items (things) to sense physical events, transmit data, and interact with their environment in order to make decisions or monitor certain processes and occurrences without the need for human contact. This may be accomplished through the use of the internet. The desire to make it simpler to collect data in real time and to offer automatic and remotecontrol mechanisms as a substitute for the conventional monitoring and control systems used in many sectors today was one of the most significant reasons for the development of IoT systems. This goal has been one of the most important reasons for the development of IoT systems. Manufacturing, environmental monitoring, digital agriculture, smart cities and homes, business management, and asset tracking are some of the sectors that fall under this category. It is expected that the number of devices that are connected to one another will have topped 20 billion by the year 2020. Because of these growing demands and the huge penetration of IoT across a wide variety of rising industries, quick innovation in the existing IoT protocols, technologies, and architectures is necessary, as well as significant work to define IoT standards that will enable these developments. The Internet of Things (IoT) generates large volumes of data, which demands the availability of network connectivity as well as power, processing, and storage resources in order to transform this data into information or services that have any value. When implementing IoT networks, it is vital to emphasize cybersecurity and data privacy in addition to guaranteeing consistent connections and the scalability of the network. Other important considerations include ensuring that the network can be expanded. At the moment, centralized architectural models are utilized in an extensive manner to authenticate, authorize, and link the numerous nodes that make up an Internet of Things network. Moreover, these models are used to represent the Internet of Things. Because there will be a rising number of devices, which might reach hundreds of billions, centralized systems will break down and fail when the centralized server is not accessible. As a potential answer to this issue, a decentralized architecture for the Internet of Things was proposed. This design relocates some of the processing tasks that occur within the network to the periphery of the network.

Semantic Web Technologies and Applications in Artificial Intelligence of Things

Author : Ortiz-Rodriguez, Fernando
Publisher : IGI Global
ISBN 13 :
Total Pages : 502 pages
Book Rating : 4.3/5 (693 download)

DOWNLOAD NOW!

Book Synopsis Semantic Web Technologies and Applications in Artificial Intelligence of Things by : Ortiz-Rodriguez, Fernando

Download or read book Semantic Web Technologies and Applications in Artificial Intelligence of Things written by Ortiz-Rodriguez, Fernando and published by IGI Global. This book was released on 2024-05-16 with total page 502 pages. Available in PDF, EPUB and Kindle. Book excerpt: The confluence of Artificial Intelligence of Things (AIoT) and Semantic Web technologies is nothing short of revolutionary. The profound impact of this synergy extends far beyond the realms of industry, research, and society; it shapes the very fabric of our future. Semantic Web Technologies and Applications in Artificial Intelligence of Things is a meticulously crafted reference that not only acknowledges this significance but also serves as a guide for those navigating the complexities of Industry 4.0 and AIoT. This curated compendium of cutting-edge technologies acts as a veritable knowledge base for future developments. As academics, scholars, and industry professionals, the ideal audience of this book, will find meticulously curated content that caters to their diverse interests and expertise, covering topics ranging from smart agriculture, manufacturing, industry, health sciences, and government. Seasoned academics, students, and visionary industry leaders, will find this book to be an indispensable guide that paves the way for innovation and progress.

Global Perspectives on Social Media Usage Within Governments

Author : Chavadi, Chandan
Publisher : IGI Global
ISBN 13 : 1668474514
Total Pages : 384 pages
Book Rating : 4.6/5 (684 download)

DOWNLOAD NOW!

Book Synopsis Global Perspectives on Social Media Usage Within Governments by : Chavadi, Chandan

Download or read book Global Perspectives on Social Media Usage Within Governments written by Chavadi, Chandan and published by IGI Global. This book was released on 2023-08-29 with total page 384 pages. Available in PDF, EPUB and Kindle. Book excerpt: Social media applications have emerged in the last 20 years to meet the different needs of individuals, and private sector and public organizations have not been indifferent to these technologies. Social media tools help public institutions and organizations communicate directly with citizens as well as enable two-way communication and enable citizens to participate in all stages from agenda setting to evaluation of policy processes. Central and local governments, which use innovative methods to involve citizens in this process, attach significance to the development of e-participation tools. Ensuring the participation of citizens in policy processes not only determines the wishes and priorities of citizens but also uses scarce resources effectively and efficiently. Global Perspectives on Social Media Usage Within Governments reveals the best practices of various countries regarding the use of social media by central and local governments according to public administration models. The book presents various case studies on the impact of public administration models on social media use in order to contribute to public administration and social media use. Covering topics such as climate action, knowledge behaviors, and citizen participation, this premier reference source is an essential resource for government officials, public administrators, public policy scholars, social media experts, public affairs scholars, students and educators of higher education, librarians, researchers, and academicians.

Algorithms in Advanced Artificial Intelligence

Author : R. N. V. Jagan Mohan
Publisher : CRC Press
ISBN 13 : 104014537X
Total Pages : 547 pages
Book Rating : 4.0/5 (41 download)

DOWNLOAD NOW!

Book Synopsis Algorithms in Advanced Artificial Intelligence by : R. N. V. Jagan Mohan

Download or read book Algorithms in Advanced Artificial Intelligence written by R. N. V. Jagan Mohan and published by CRC Press. This book was released on 2024-07-08 with total page 547 pages. Available in PDF, EPUB and Kindle. Book excerpt: The most common form of severe dementia, Alzheimer’s disease (AD), is a cumulative neurological disorder because of the degradation and death of nerve cells in the brain tissue, intelligence steadily declines and most of its activities are compromised in AD. Before diving into the level of AD diagnosis, it is essential to highlight the fundamental differences between conventional machine learning (ML) and deep learning (DL). This work covers a number of photo-preprocessing approaches that aid in learning because image processing is essential for the diagnosis of AD. The most crucial kind of neural network for computer vision used in medical image processing is called a Convolutional Neural Network (CNN). The proposed study will consider facial characteristics, including expressions and eye movements using the diffusion model, as part of CNN’s meticulous approach to Alzheimer’s diagnosis. Convolutional neural networks were used in an effort to sense Alzheimer’s disease in its early stages using a big collection of pictures of facial expressions.

Convergence of Artificial Intelligence and the Internet of Things

Author : George Mastorakis
Publisher : Springer Nature
ISBN 13 : 3030449076
Total Pages : 446 pages
Book Rating : 4.0/5 (34 download)

DOWNLOAD NOW!

Book Synopsis Convergence of Artificial Intelligence and the Internet of Things by : George Mastorakis

Download or read book Convergence of Artificial Intelligence and the Internet of Things written by George Mastorakis and published by Springer Nature. This book was released on 2020-05-06 with total page 446 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book gathers recent research work on emerging Artificial Intelligence (AI) methods for processing and storing data generated by cloud-based Internet of Things (IoT) infrastructures. Major topics covered include the analysis and development of AI-powered mechanisms in future IoT applications and architectures. Further, the book addresses new technological developments, current research trends, and industry needs. Presenting case studies, experience and evaluation reports, and best practices in utilizing AI applications in IoT networks, it strikes a good balance between theoretical and practical issues. It also provides technical/scientific information on various aspects of AI technologies, ranging from basic concepts to research grade material, including future directions. The book is intended for researchers, practitioners, engineers and scientists involved in the design and development of protocols and AI applications for IoT-related devices. As the book covers a wide range of mobile applications and scenarios where IoT technologies can be applied, it also offers an essential introduction to the field.

Emerging Technologies for Securing the Cloud and IoT

Author : Ahmed Nacer, Amina
Publisher : IGI Global
ISBN 13 :
Total Pages : 385 pages
Book Rating : 4.3/5 (693 download)

DOWNLOAD NOW!

Book Synopsis Emerging Technologies for Securing the Cloud and IoT by : Ahmed Nacer, Amina

Download or read book Emerging Technologies for Securing the Cloud and IoT written by Ahmed Nacer, Amina and published by IGI Global. This book was released on 2024-04-01 with total page 385 pages. Available in PDF, EPUB and Kindle. Book excerpt: In an age defined by the transformative ascent of cloud computing and the Internet of Things (IoT), our technological landscape has undergone a revolutionary evolution, enhancing convenience and connectivity in unprecedented ways. This convergence, while redefining how we interact with data and devices, has also brought to the forefront a pressing concern – the susceptibility of these systems to security breaches. As cloud services integrate further into our daily lives and the IoT saturates every aspect of our routines, the looming potential for cyberattacks and data breaches necessitates immediate and robust solutions to fortify the protection of sensitive information, ensuring the privacy and integrity of individuals, organizations, and critical infrastructure. Emerging Technologies for Securing the Cloud and IoT emerges as a comprehensive and timely solution to address the multifaceted security challenges posed by these groundbreaking technologies. Edited by Amina Ahmed Nacer from the University of Lorraine, France, and Mohammed Riyadh Abdmeziem from Ecole Nationale Supérieur d’Informatique, Algeria, this book serves as an invaluable guide for both academic scholars and industry experts. Its content delves deeply into the intricate web of security concerns, elucidating the potential ramifications of unaddressed vulnerabilities within cloud and IoT systems. With a pragmatic focus on real-world applications, the book beckons authors to explore themes like security frameworks, integration of AI and machine learning, data safeguarding, threat modeling, and more. Authored by esteemed researchers, practitioners, and luminaries, each chapter bridges the divide between theory and implementation, aiming to be an authoritative reference empowering readers to adeptly navigate the complexities of securing cloud-based IoT systems. A crucial resource for scholars, students, professionals, and policymakers striving to comprehend, confront, and surmount contemporary and future security challenges, this book stands as the quintessential guide for ushering in an era of secure technological advancement.

Bio-inspired Swarm Robotics and Control: Algorithms, Mechanisms, and Strategies

Author : Bhowmick, Parijat
Publisher : IGI Global
ISBN 13 :
Total Pages : 281 pages
Book Rating : 4.3/5 (693 download)

DOWNLOAD NOW!

Book Synopsis Bio-inspired Swarm Robotics and Control: Algorithms, Mechanisms, and Strategies by : Bhowmick, Parijat

Download or read book Bio-inspired Swarm Robotics and Control: Algorithms, Mechanisms, and Strategies written by Bhowmick, Parijat and published by IGI Global. This book was released on 2024-04-23 with total page 281 pages. Available in PDF, EPUB and Kindle. Book excerpt: The academic community is currently facing the challenge of navigating the complexities of swarm robotics. This field demands understanding the design, control, and coordination of autonomous robotic swarms. The intricacies of developing algorithms that facilitate communication, cooperation, and adaptation among simple individual agents remain a formidable obstacle. Addressing issues like task allocation, formation control, path planning, and decentralized decision-making are pivotal to unlocking the true potential of swarm robotics. Bio-inspired Swarm Robotics and Control: Algorithms, Mechanisms, and Strategies immerses readers in the cutting-edge realm of swarm robotics, a discipline inspired by the intricate choreography observed in biological systems like insect colonies, bird flocks, and fish schools. Encompassing a rich array of bio-inspired algorithms, mechanisms, and strategies, the text elucidates how robots can communicate, cooperate, and adapt within dynamic environments. The book propels robotics, automation, and artificial intelligence advancements by fostering interdisciplinary connections and charting a course toward more efficient and resilient multi-robot systems. This book is ideal for biologists, engineers, and computer scientists to join forces in unlocking the full potential of swarm robotics.

Computational Intelligence for Green Cloud Computing and Digital Waste Management

Author : Kumar, K. Dinesh
Publisher : IGI Global
ISBN 13 :
Total Pages : 426 pages
Book Rating : 4.3/5 (693 download)

DOWNLOAD NOW!

Book Synopsis Computational Intelligence for Green Cloud Computing and Digital Waste Management by : Kumar, K. Dinesh

Download or read book Computational Intelligence for Green Cloud Computing and Digital Waste Management written by Kumar, K. Dinesh and published by IGI Global. This book was released on 2024-02-27 with total page 426 pages. Available in PDF, EPUB and Kindle. Book excerpt: In the digital age, the relentless growth of data centers and cloud computing has given rise to a pressing dilemma. The power consumption of these facilities is spiraling out of control, emitting massive amounts of carbon dioxide, and contributing to the ever-increasing threat of global warming. Studies show that data centers alone are responsible for nearly eighty million metric tons of CO2 emissions worldwide, and this figure is poised to skyrocket to a staggering 8000 TWh by 2030 unless we revolutionize our approach to computing resource management. The root of this problem lies in inefficient resource allocation within cloud environments, as service providers often over-provision computing resources to avoid Service Level Agreement (SLA) violations, leading to both underutilization of resources and a significant increase in energy consumption. Computational Intelligence for Green Cloud Computing and Digital Waste Management stands as a beacon of hope in the face of the environmental and technological challenges we face. It introduces the concept of green computing, dedicated to creating an eco-friendly computing environment. The book explores innovative, intelligent resource management methods that can significantly reduce the power consumption of data centers. From machine learning and deep learning solutions to green virtualization technologies, this comprehensive guide explores innovative approaches to address the pressing challenges of green computing. Whether you are an educator teaching about green computing, an environmentalist seeking sustainability solutions, an industry professional navigating the digital landscape, a resolute researcher, or simply someone intrigued by the intersection of technology and sustainability, this book offers an indispensable resource.

Advances in Data and Information Sciences

Author : Shailesh Tiwari
Publisher : Springer Nature
ISBN 13 : 9819969069
Total Pages : 547 pages
Book Rating : 4.8/5 (199 download)

DOWNLOAD NOW!

Book Synopsis Advances in Data and Information Sciences by : Shailesh Tiwari

Download or read book Advances in Data and Information Sciences written by Shailesh Tiwari and published by Springer Nature. This book was released on 2024-01-02 with total page 547 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book gathers a collection of high-quality peer-reviewed research papers presented at the 5th International Conference on Data and Information Sciences (ICDIS 2023), held at Raja Balwant Singh Engineering Technical Campus, Agra, India, on June 16–17, 2023. The book covers all aspects of computational sciences and information security, including central topics like artificial intelligence, cloud computing, and big data. Highlighting the latest developments and technical solutions, it shows readers from the computer industry how to capitalize on key advances in next-generation computer and communication technology.