Cancer Prediction For Industrial Iot 4 0

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Cancer Prediction for Industrial IoT 4.0

Meenu Gupta,Rachna Jain,Arun Solanki,Fadi Al-Turjman
Cancer Prediction for Industrial IoT 4 0 Book PDF

Author : Meenu Gupta,Rachna Jain,Arun Solanki,Fadi Al-Turjman
Publisher : CRC Press
Page : 202 pages
File Size : 47,5 Mb
Release : 2021-12-31
Category : Computers
ISBN : 9781000508666

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Cancer Prediction for Industrial IoT 4.0 by Meenu Gupta,Rachna Jain,Arun Solanki,Fadi Al-Turjman Pdf

Cancer Prediction for Industrial IoT 4.0: A Machine Learning Perspective explores various cancers using Artificial Intelligence techniques. It presents the rapid advancement in the existing prediction models by applying Machine Learning techniques. Several applications of Machine Learning in different cancer prediction and treatment options are discussed, including specific ideas, tools and practices most applicable to product/service development and innovation opportunities. The wide variety of topics covered offers readers multiple perspectives on various disciplines. Features • Covers the fundamentals, history, reality and challenges of cancer • Presents concepts and analysis of different cancers in humans • Discusses Machine Learning-based deep learning and data mining concepts in the prediction of cancer • Offers real-world examples of cancer prediction • Reviews strategies and tools used in cancer prediction • Explores the future prospects in cancer prediction and treatment Readers will learn the fundamental concepts and analysis of cancer prediction and treatment, including how to apply emerging technologies such as Machine Learning into practice to tackle challenges in domains/fields of cancer with real-world scenarios. Hands-on chapters contributed by academicians and other professionals from reputed organizations provide and describe frameworks, applications, best practices and case studies on emerging cancer treatment and predictions. This book will be a vital resource to graduate students, data scientists, Machine Learning researchers, medical professionals and analytics managers.

Industrial Internet of Things (IIoT)

R. Anandan,Suseendran Gopalakrishnan,Souvik Pal,Noor Zaman
Industrial Internet of Things IIoT Book PDF

Author : R. Anandan,Suseendran Gopalakrishnan,Souvik Pal,Noor Zaman
Publisher : John Wiley & Sons
Page : 436 pages
File Size : 46,7 Mb
Release : 2022-03-15
Category : Computers
ISBN : 9781119768777

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Industrial Internet of Things (IIoT) by R. Anandan,Suseendran Gopalakrishnan,Souvik Pal,Noor Zaman Pdf

INDUSTRIAL INTERNET OF THINGS (IIOT) This book discusses how the industrial internet will be augmented through increased network agility, integrated artificial intelligence (AI) and the capacity to deploy, automate, orchestrate, and secure diverse user cases at hyperscale. Since the internet of things (IoT) dominates all sectors of technology, from home to industry, automation through IoT devices is changing the processes of our daily lives. For example, more and more businesses are adopting and accepting industrial automation on a large scale, with the market for industrial robots expected to reach $73.5 billion in 2023. The primary reason for adopting IoT industrial automation in businesses is the benefits it provides, including enhanced efficiency, high accuracy, cost-effectiveness, quick process completion, low power consumption, fewer errors, and ease of control. The 15 chapters in the book showcase industrial automation through the IoT by including case studies in the areas of the IIoT, robotic and intelligent systems, and web-based applications which will be of interest to working professionals and those in education and research involved in a broad cross-section of technical disciplines. The volume will help industry leaders by Advancing hands-on experience working with industrial architecture Demonstrating the potential of cloud-based Industrial IoT platforms, analytics, and protocols Putting forward business models revitalizing the workforce with Industry 4.0. Audience Researchers and scholars in industrial engineering and manufacturing, artificial intelligence, cyber-physical systems, robotics, safety engineering, safety-critical systems, and application domain communities such as aerospace, agriculture, automotive, critical infrastructures, healthcare, manufacturing, retail, smart transports, smart cities, and smart healthcare.

Advances in Distributed Computing and Machine Learning

Suchismita Chinara,Asis Kumar Tripathy,Kuan-Ching Li,Jyoti Prakash Sahoo,Alekha Kumar Mishra
Advances in Distributed Computing and Machine Learning Book PDF

Author : Suchismita Chinara,Asis Kumar Tripathy,Kuan-Ching Li,Jyoti Prakash Sahoo,Alekha Kumar Mishra
Publisher : Springer Nature
Page : 600 pages
File Size : 52,5 Mb
Release : 2023-06-27
Category : Technology & Engineering
ISBN : 9789819912032

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Advances in Distributed Computing and Machine Learning by Suchismita Chinara,Asis Kumar Tripathy,Kuan-Ching Li,Jyoti Prakash Sahoo,Alekha Kumar Mishra Pdf

This book is a collection of peer-reviewed best selected research papers presented at the Fourth International Conference on Advances in Distributed Computing and Machine Learning (ICADCML 2023), organized by Department of Computer Science and Engineering, National Institute of Technology, Rourkela, Odisha, India, during 15–16 January 2023. This book presents recent innovations in the field of scalable distributed systems in addition to cutting edge research in the field of Internet of Things (IoT) and blockchain in distributed environments.

An Industrial IoT Approach for Pharmaceutical Industry Growth

Valentina Emilia Balas,Vijender Kumar Solanki,Raghvendra Kumar
An Industrial IoT Approach for Pharmaceutical Industry Growth Book PDF

Author : Valentina Emilia Balas,Vijender Kumar Solanki,Raghvendra Kumar
Publisher : Academic Press
Page : 383 pages
File Size : 48,8 Mb
Release : 2020-05-15
Category : Business & Economics
ISBN : 9780128213278

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An Industrial IoT Approach for Pharmaceutical Industry Growth by Valentina Emilia Balas,Vijender Kumar Solanki,Raghvendra Kumar Pdf

An Industrial IoT Approach for Pharmaceutical Industry Growth, Volume Two uses an innovative approach to explore how the Internet of Things (IoT) and big data can improve approaches and make discoveries. Rapid growth of the IoT has encouraged many companies in the manufacturing sector to make use of this technology to unlock its potential. Using clear language and real-world case studies, this book discusses systems level from both a human-factors point-of-view and the perspective of networking, databases, privacy and anti-spoofing. The wide variety in topics presented offers multiple perspectives on how to integrate the Internet of Things into pharmaceutical manufacturing. This book represents a useful resource for researchers in pharmaceutical sciences, information and communication technologies, and those who specialize in healthcare and pharmacovigilance. Emphasizes efficiency in pharmaceutical manufacturing through an IoT/Big Data approach Explores cutting-edge technologies through sensor enabled environments in the pharmaceutical industry Discusses system levels from both a human-factors point-of-view and the perspective of networking, databases, privacy and anti-spoofing

Demystifying Federated Learning for Blockchain and Industrial Internet of Things

Kautish, Sandeep,Dhiman, Gaurav
Demystifying Federated Learning for Blockchain and Industrial Internet of Things Book PDF

Author : Kautish, Sandeep,Dhiman, Gaurav
Publisher : IGI Global
Page : 261 pages
File Size : 55,6 Mb
Release : 2022-06-17
Category : Computers
ISBN : 9781668437353

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Demystifying Federated Learning for Blockchain and Industrial Internet of Things by Kautish, Sandeep,Dhiman, Gaurav Pdf

In recent years, mobile technology and the internet of objects have been used in mobile networks to meet new technical demands. Emerging needs have centered on data storage, computation, and low latency management in potentially smart cities, transport, smart grids, and a wide number of sustainable environments. Federated learning’s contributions include an effective framework to improve network security in heterogeneous industrial internet of things (IIoT) environments. Demystifying Federated Learning for Blockchain and Industrial Internet of Things rediscovers, redefines, and reestablishes the most recent applications of federated learning using blockchain and IIoT to optimize data for next-generation networks. It provides insights to readers in a way of inculcating the theme that shapes the next generation of secure communication. Covering topics such as smart agriculture, object identification, and educational big data, this premier reference source is an essential resource for computer scientists, programmers, government officials, business leaders and managers, students and faculty of higher education, researchers, and academicians.

Handbook of Research on Deep Learning Techniques for Cloud-Based Industrial IoT

Swarnalatha, P.,Prabu, S.
Handbook of Research on Deep Learning Techniques for Cloud Based Industrial IoT Book PDF

Author : Swarnalatha, P.,Prabu, S.
Publisher : IGI Global
Page : 463 pages
File Size : 45,6 Mb
Release : 2023-07-03
Category : Computers
ISBN : 9781668481004

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Handbook of Research on Deep Learning Techniques for Cloud-Based Industrial IoT by Swarnalatha, P.,Prabu, S. Pdf

Today’s business world is changing with the adoption of the internet of things (IoT). IoT is helping in prominently capturing a tremendous amount of data from multiple sources. Realizing the future and full potential of IoT devices will require an investment in new technologies. The Handbook of Research on Deep Learning Techniques for Cloud-Based Industrial IoT demonstrates how the computer scientists and engineers of today might employ artificial intelligence in practical applications with the emerging cloud and IoT technologies. The book also gathers recent research works in emerging artificial intelligence methods and applications for processing and storing the data generated from the cloud-based internet of things. Covering key topics such as data, cybersecurity, blockchain, and artificial intelligence, this premier reference source is ideal for industry professionals, engineers, computer scientists, researchers, scholars, academicians, practitioners, instructors, and students.

Artificial Intelligence of Health-Enabled Spaces

Fadi Al-Turjman
Artificial Intelligence of Health Enabled Spaces Book PDF

Author : Fadi Al-Turjman
Publisher : CRC Press
Page : 178 pages
File Size : 44,8 Mb
Release : 2023-06-16
Category : Computers
ISBN : 9781000893144

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Artificial Intelligence of Health-Enabled Spaces by Fadi Al-Turjman Pdf

Artificial Intelligence of Health-Enabled Spaces (AIoH) has made a number of revolutionary advances in clinical studies that we are aware of. Among these advances, intelligent and medical services are gaining a great deal of interest. Nowadays, AI-powered technologies are not only used in saving lives, but also in our daily life activities in diagnosing, controlling, and even tracking of COVID-19 patients. These AI-powered solutions are expected to communicate with cellular networks smoothly in the next-generation networks (5G/6G and beyond) for more effective/critical medical applications. This will open the door for other interesting research areas. This book focuses on the development and analysis of artificial intelligence (AI) model applications across multiple disciplines. AI-based deep learning models, fuzzy and hybrid intelligent systems, and intrinsic explainable models are also presented in this book. Some of the fields considered in this smart health-oriented book include AI applications in electrical engineering, biomedical engineering, environmental engineering, computer engineering, education, cyber security, chemistry, pharmacy, molecular biology, and tourism. This book is dedicated to addressing the major challenges in fighting diseases and psychological issues using AI. These challenges vary from cost and complexity to availability and accuracy. The aim of this book is hence to focus on both the design and implementation aspects of AI-based approaches in the proposed health-related solutions. Targeted readers are from varying disciplines who are interested in implementing the smart planet/environments vision via intelligent enabling technologies.

Proceedings of the 2023 3rd International Conference on Education, Information Management and Service Science (EIMSS 2023)

Guiyun Guan,Christian Kahl,Bootheina Majoul,Deepanjali Mishra
Proceedings of the 2023 3rd International Conference on Education Information Management and Service Science EIMSS 2023 Book PDF

Author : Guiyun Guan,Christian Kahl,Bootheina Majoul,Deepanjali Mishra
Publisher : Springer Nature
Page : 938 pages
File Size : 48,8 Mb
Release : 2023-10-29
Category : Business & Economics
ISBN : 9789464632644

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Proceedings of the 2023 3rd International Conference on Education, Information Management and Service Science (EIMSS 2023) by Guiyun Guan,Christian Kahl,Bootheina Majoul,Deepanjali Mishra Pdf

This is an open access book.Amidst the advancement of modern science and technology, especially the development of information technology, our society has entered a stage of highly developed information technology. We should do our utmost to utilize the achievements yielded by scientific and technological innovation, vigorously promote the informatization of education management, and provide quality services for education and teaching. The importance of information technology education in educational management simply cannot be overstated. Educational management is closely related to college education and teaching. Only through good educational management can education and teaching proceed smoothly. The realization of education management information is conducive to the propulsion of high efficiency in school management, as well as to the smooth implementation of teaching objectives and better participation of students and parents in school management. Informationization is the mainstream of the world's economic development, while informationization of teaching management is the product of adapting to the demand of time development. We educational management workers should learn from the excellent educational managers at home and abroad, strive to improve their information level, and synchronize with the Times. In order to provide a more convenient and efficient communication platform for relevant academic researchers, we organized the 2023 3rd International Conference on Education, Information Management and Service Science (EIMSS 2023). 2023 3rd International Conference on Education, Information Management and Service Science (EIMSS 2023) will be held on July 21–23, 2023 in Qingdao, China. EIMSS 2023 aims to bring together innovative academics and industrial experts in the field of Education, Information Management and Service Science to a common forum. The primary goal of the conference is to stimulate research and developmental activities in Education, Information Management and Service Science, and another goal is to facilitate the scientific exchange of information between researchers, developers, engineers, students, and practitioners working all around the world. As an ideal platform for individuals to exchange views and experiences in Education, Information Management, Service Science, and related domains, the conference will convene annually. We warmly invite you to participate in EIMSS 2023 and look forward to seeing you in Qingdao!

Emerging Engineering Technologies and Industrial Applications

El Kacimi, Younes,Alaoui, Khaoula
Emerging Engineering Technologies and Industrial Applications Book PDF

Author : El Kacimi, Younes,Alaoui, Khaoula
Publisher : IGI Global
Page : 453 pages
File Size : 48,9 Mb
Release : 2024-05-06
Category : Science
ISBN : 9798369313367

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Emerging Engineering Technologies and Industrial Applications by El Kacimi, Younes,Alaoui, Khaoula Pdf

Engineers have long been architects of progress, erecting massive buildings that touch the skies and designing technologies that redefine realms of known possibility. In this era of rapid change, keeping pace with innovation is the main challenge. Emerging Engineering Technologies and Industrial Applications is a comprehensive research book that delves deep into the heart of a relentless technological revolution within modern industry. From the limitless potential of the Internet of Things (IoT) to the cognitive wonders of Artificial Intelligence (AI), from the microscopic marvels of Nanotechnology to the precision and agility of Robotics, and from the revolutionary advancements in 3D Printing to the transformative capabilities of blockchain, this book explores emerging technologies. This book is an indispensable resource for professionals and researchers working in the field of emerging engineering technologies and their industrial applications. It caters to a diverse range of disciplines, including computer science and information technology, environmental, agricultural, and physical sciences, medical, healthcare, and life sciences, as well as science and engineering, and anyone seeking to navigate the current technological progress in the 21st century.

Integration of IoT with Cloud Computing for Smart Applications

Rohit Anand,Sapna Juneja,Abhinav Juneja,Vishal Jain,Ramani Kannan
Integration of IoT with Cloud Computing for Smart Applications Book PDF

Author : Rohit Anand,Sapna Juneja,Abhinav Juneja,Vishal Jain,Ramani Kannan
Publisher : CRC Press
Page : 376 pages
File Size : 51,9 Mb
Release : 2023-07-25
Category : Computers
ISBN : 9781000906103

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Integration of IoT with Cloud Computing for Smart Applications by Rohit Anand,Sapna Juneja,Abhinav Juneja,Vishal Jain,Ramani Kannan Pdf

Integration of IoT with Cloud Computing for Smart Applications provides an integrative overview of the Internet of Things (IoT) and cloud computing to be used for the various futuristic and intelligent applications. The aim of this book is to integrate IoT and cloud computing to translate ordinary resources into smart things. Discussions in this book include a broad and integrated perspective on the collaboration, security, growth of cloud infrastructure, and real-time data monitoring. Features: Presents an integrated approach to solve the problems related to security, reliability, and energy consumption. Explains a unique approach to discuss the research challenges and opportunities in the field of IoT and cloud computing. Discusses a novel approach for smart agriculture, smart healthcare systems, smart cities and many other modern systems based on machine learning, artificial intelligence, and big data, etc. Information presented in a simplified way for students, researchers, academicians and scientists, business innovators and entrepreneurs, management professionals and practitioners. This book can be great reference for graduate and postgraduate students, researchers, and academicians working in the field of computer science, cloud computing, artificial intelligence, etc.

Machine Learning and the Internet of Medical Things in Healthcare

Krishna Kant Singh,Mohamed Elhoseny,Akansha Singh,Ahmed A. Elngar
Machine Learning and the Internet of Medical Things in Healthcare Book PDF

Author : Krishna Kant Singh,Mohamed Elhoseny,Akansha Singh,Ahmed A. Elngar
Publisher : Academic Press
Page : 290 pages
File Size : 40,9 Mb
Release : 2021-04-14
Category : Science
ISBN : 9780128232170

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Machine Learning and the Internet of Medical Things in Healthcare by Krishna Kant Singh,Mohamed Elhoseny,Akansha Singh,Ahmed A. Elngar Pdf

Machine Learning and the Internet of Medical Things in Healthcare discusses the applications and challenges of machine learning for healthcare applications. The book provides a platform for presenting machine learning-enabled healthcare techniques and offers a mathematical and conceptual background of the latest technology. It describes machine learning techniques along with the emerging platform of the Internet of Medical Things used by practitioners and researchers worldwide. The book includes deep feed forward networks, regularization, optimization algorithms, convolutional networks, sequence modeling, and practical methodology. It also presents the concepts of the Internet of Things, the set of technologies that develops traditional devices into smart devices. Finally, the book offers research perspectives, covering the convergence of machine learning and IoT. It also presents the application of these technologies in the development of healthcare frameworks. Provides an introduction to the Internet of Medical Things through the principles and applications of machine learning Explains the functions and applications of machine learning in various applications such as ultrasound imaging, biomedical signal processing, robotics, and biomechatronics Includes coverage of the evolution of healthcare applications with machine learning, including Clinical Decision Support Systems, artificial intelligence in biomedical engineering, and AI-enabled connected health informatics, supported by real-world case studies

Machine Learning for Critical Internet of Medical Things

Fadi Al-Turjman,Anand Nayyar
Machine Learning for Critical Internet of Medical Things Book PDF

Author : Fadi Al-Turjman,Anand Nayyar
Publisher : Springer Nature
Page : 267 pages
File Size : 47,7 Mb
Release : 2022-02-03
Category : Technology & Engineering
ISBN : 9783030809287

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Machine Learning for Critical Internet of Medical Things by Fadi Al-Turjman,Anand Nayyar Pdf

This book discusses the applications, challenges, and future trends of machine learning in medical domain, including both basic and advanced topics. The book presents how machine learning is helpful in smooth conduction of administrative processes in hospitals, in treating infectious diseases, and in personalized medical treatments. The authors show how machine learning can also help make fast and more accurate disease diagnoses, easily identify patients, help in new types of therapies or treatments, model small-molecule drugs in pharmaceutical sector, and help with innovations via integrated technologies such as artificial intelligence as well as deep learning. The authors show how machine learning also improves the physician’s and doctor’s medical capabilities to better diagnosis their patients. This book illustrates advanced, innovative techniques, frameworks, concepts, and methodologies of machine learning that will enhance the efficiency and effectiveness of the healthcare system. Provides researchers in machine and deep learning with a conceptual understanding of various methodologies of implementing the technologies in medical areas; Discusses the role machine learning and IoT play into locating different virus and diseases across the globe, such as COVID-19, Ebola, and cervical cancer; Includes fundamentals and advances in machine learning in the medical field, supported by significant case studies and practical applications.

Artificial Intelligence and Cyber Security in Industry 4.0

Velliangiri Sarveshwaran,Joy Iong-Zong Chen,Danilo Pelusi
Artificial Intelligence and Cyber Security in Industry 4 0 Book PDF

Author : Velliangiri Sarveshwaran,Joy Iong-Zong Chen,Danilo Pelusi
Publisher : Springer Nature
Page : 374 pages
File Size : 50,8 Mb
Release : 2023-07-15
Category : Computers
ISBN : 9789819921157

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Artificial Intelligence and Cyber Security in Industry 4.0 by Velliangiri Sarveshwaran,Joy Iong-Zong Chen,Danilo Pelusi Pdf

This book provides theoretical background and state-of-the-art findings in artificial intelligence and cybersecurity for industry 4.0 and helps in implementing AI-based cybersecurity applications. Machine learning-based security approaches are vulnerable to poison datasets which can be caused by a legitimate defender's misclassification or attackers aiming to evade detection by contaminating the training data set. There also exist gaps between the test environment and the real world. Therefore, it is critical to check the potentials and limitations of AI-based security technologies in terms of metrics such as security, performance, cost, time, and consider how to incorporate them into the real world by addressing the gaps appropriately. This book focuses on state-of-the-art findings from both academia and industry in big data security relevant sciences, technologies, and applications. ​

Revolutionizing Healthcare Through Artificial Intelligence and Internet of Things Applications

Kaushik, Keshav,Dahiya, Susheela,Aggarwal, Shilpi,Dwivedi, Ashutosh Dhar
Revolutionizing Healthcare Through Artificial Intelligence and Internet of Things Applications Book PDF

Author : Kaushik, Keshav,Dahiya, Susheela,Aggarwal, Shilpi,Dwivedi, Ashutosh Dhar
Publisher : IGI Global
Page : 294 pages
File Size : 55,9 Mb
Release : 2023-06-12
Category : Medical
ISBN : 9781668454237

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Revolutionizing Healthcare Through Artificial Intelligence and Internet of Things Applications by Kaushik, Keshav,Dahiya, Susheela,Aggarwal, Shilpi,Dwivedi, Ashutosh Dhar Pdf

Medical internet of things (IoT)-based applications are being utilized in several industries and have been shown to provide significant advantages to users in critical health applications. Artificial intelligence (AI) plays a key role in the growth and success of medical IoT applications and IoT devices in the medical sector. To enhance revenue, improve competitive advantage, and increase consumer engagement, the use of AI with medical IoT should be encouraged in the healthcare and medical arena. Revolutionizing Healthcare Through Artificial Intelligence and Internet of Things Applications provides greater knowledge of how AI affects healthcare and medical efficacy in order to improve outputs. It focuses on a thorough and comprehensive introduction to machine learning. Covering topics such as patient treatment, cyber-physical systems, and telemedicine, this premier reference source is a dynamic resource for hospital administrators, medical professionals, government officials, students and faculty of higher education, librarians, researchers, and academicians.

Machine Learning and Big Data Analytics

Rajiv Misra,Rana Omer,Muttukrishnan Rajarajan,Bharadwaj Veeravalli,Nishtha Kesswani,Priyanka Mishra
Machine Learning and Big Data Analytics Book PDF

Author : Rajiv Misra,Rana Omer,Muttukrishnan Rajarajan,Bharadwaj Veeravalli,Nishtha Kesswani,Priyanka Mishra
Publisher : Springer Nature
Page : 552 pages
File Size : 41,9 Mb
Release : 2023-06-06
Category : Mathematics
ISBN : 9783031151750

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Machine Learning and Big Data Analytics by Rajiv Misra,Rana Omer,Muttukrishnan Rajarajan,Bharadwaj Veeravalli,Nishtha Kesswani,Priyanka Mishra Pdf

This edited volume on machine learning and big data analytics (Proceedings of ICMLBDA 2022) is intended to be used as a reference book for researchers and professionals to share their research and reports of new technologies and applications in Machine Learning and Big Data Analytics like biometric Recognition Systems, medical diagnosis, industries, telecommunications, AI Petri Nets Model-Based Diagnosis, gaming, stock trading, Intelligent Aerospace Systems, robot control, law, remote sensing and scientific discovery agents and multiagent systems; and natural language and Web intelligence. The intent of this book is to provide awareness of algorithms used for machine learning and big data in the advanced Scientific Technologies, provide a correlation of multidisciplinary areas and become a point of great interest for Data Scientists, systems architects, developers, new researchers and graduate level students. This volume provides cutting-edge research from around the globe on this field. Current status, trends, future directions, opportunities, etc. are discussed, making it friendly for beginners and young researchers.