Demystifying Federated Learning For Blockchain And Industrial Internet Of Things

Author : Kautish, Sandeep,Dhiman, Gaurav
Publisher : IGI Global
Page : 261 pages
File Size : 46,6 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.

Author : Kautish, Sandeep,Chaubey, Nirbhay Kumar,Goyal, S.B.,Whig, Pawan
Publisher : IGI Global
Page : 340 pages
File Size : 51,8 Mb
Release : 2023-04-24
Category : Technology & Engineering
ISBN : 9781668481738

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AI-Enabled Social Robotics in Human Care Services by Kautish, Sandeep,Chaubey, Nirbhay Kumar,Goyal, S.B.,Whig, Pawan Pdf

As social robots and the artificial intelligence (AI) that powers them become more advanced, they will likely take on more social and work roles. There is a variety of ways social robots can be engaged in human life, and they can leave an impact in terms of ease of use, productivity, and human support. The interactivity and receptivity of social robots can encourage humans to form social relationships with them. But now robots are intended to perform socially intelligent and interactive services like reception, guidance, emotional companionship, and more, which makes social human-robot interaction essential to help improve aspects of quality of life as well as to improve the efficiency of human care services. AI-Enabled Social Robotics in Human Care Services addresses recent advances in the latest technologies, new research results, and developments in the area of social robotics and AI and the latest developments in the field and future directions that can be beneficial to human society and human care services. Covering topics such as agriculture waste management systems, elder care, and facial emotion recognition, this premier reference source is an essential resource for AI professionals, computer scientists, robotics engineers, human care professionals, students and educators of higher education, librarians, researchers, and academicians.

Author : Renuka Sharma,Kiran Mehta
Publisher : John Wiley & Sons
Page : 500 pages
File Size : 54,5 Mb
Release : 2024-05-14
Category : Computers
ISBN : 9781394214303

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Deep Learning Tools for Predicting Stock Market Movements by Renuka Sharma,Kiran Mehta Pdf

DEEP LEARNING TOOLS for PREDICTING STOCK MARKET MOVEMENTS The book provides a comprehensive overview of current research and developments in the field of deep learning models for stock market forecasting in the developed and developing worlds. The book delves into the realm of deep learning and embraces the challenges, opportunities, and transformation of stock market analysis. Deep learning helps foresee market trends with increased accuracy. With advancements in deep learning, new opportunities in styles, tools, and techniques evolve and embrace data-driven insights with theories and practical applications. Learn about designing, training, and applying predictive models with rigorous attention to detail. This book offers critical thinking skills and the cultivation of discerning approaches to market analysis. The book: details the development of an ensemble model for stock market prediction, combining long short-term memory and autoregressive integrated moving average; explains the rapid expansion of quantum computing technologies in financial systems; provides an overview of deep learning techniques for forecasting stock market trends and examines their effectiveness across different time frames and market conditions; explores applications and implications of various models for causality, volatility, and co-integration in stock markets, offering insights to investors and policymakers. Audience The book has a wide audience of researchers in financial technology, financial software engineering, artificial intelligence, professional market investors, investment institutions, and asset management companies.

Author : Kaushik, Keshav,Bhardwaj, Akashdeep
Publisher : IGI Global
Page : 465 pages
File Size : 41,7 Mb
Release : 2023-09-11
Category : Computers
ISBN : 9781668482209

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Perspectives on Ethical Hacking and Penetration Testing by Kaushik, Keshav,Bhardwaj, Akashdeep Pdf

Cybersecurity has emerged to address the need for connectivity and seamless integration with other devices and vulnerability assessment to find loopholes. However, there are potential challenges ahead in meeting the growing need for cybersecurity. This includes design and implementation challenges, application connectivity, data gathering, cyber-attacks, and cyberspace analysis. Perspectives on Ethical Hacking and Penetration Testing familiarizes readers with in-depth and professional hacking and vulnerability scanning subjects. The book discusses each of the processes and tools systematically and logically so that the reader can see how the data from each tool may be fully exploited in the penetration test’s succeeding stages. This procedure enables readers to observe how the research instruments and phases interact. This book provides a high level of understanding of the emerging technologies in penetration testing, cyber-attacks, and ethical hacking and offers the potential of acquiring and processing a tremendous amount of data from the physical world. Covering topics such as cybercrimes, digital forensics, and wireless hacking, this premier reference source is an excellent resource for cybersecurity professionals, IT managers, students and educators of higher education, librarians, researchers, and academicians.

Author : Arun Solanki,Mohd Naved
Publisher : Springer Nature
Page : 255 pages
File Size : 41,7 Mb
Release : 2023-12-15
Category : Medical
ISBN : 9783031432057

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GANs for Data Augmentation in Healthcare by Arun Solanki,Mohd Naved Pdf

Computer-Assisted Diagnostics (CAD) using Convolutional Neural Network (CNN) model has become an important technology in the medical industry, improving the accuracy of diagnostics. However, the lack Magnetic Resonance Imaging (MRI) data leads to the failure of the depth study algorithm. Medical records often different because of the cost of obtaining information and the time-consuming information. In general, clinical data are unreliable, the training of neural network methods to distribute disease across classes does not yield the desired results. Data augmentation is often done by training data to solve problems caused by augmentation tasks such as scaling, cropping, flipping, padding, rotation, translation, affine transformation, and color augmentation techniques such as brightness, contrast, saturation, and hue. Data Augmentation and Segmentation imaging using GAN can be used to provide clear images of brain, liver, chest, abdomen, and liver on MRI. In addition, GAN shows strong promise in the field of clinical image synthesis. In many cases, clinical evaluation is limited by a lack of data and/or the cost of actual information. GAN can overcome these problems by enabling scientists and clinicians to work on beautiful and realistic images. This can improve diagnosis, prognosis, and disease. Finally, GAN highlights the potential for location of patient information with data. This is a beneficial clinical application of GAN because it can effectively protect patient confidentiality. This book covers the application of GANs on medical imaging augmentation and segmentation.

Author : Sonali Vyas,Akanksha Upadhyaya,Deepshikha Bhargava,Vinod Kumar Shukla
Publisher : CRC Press
Page : 278 pages
File Size : 40,7 Mb
Release : 2023-07-31
Category : Computers
ISBN : 9781000906318

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Edge-AI in Healthcare by Sonali Vyas,Akanksha Upadhyaya,Deepshikha Bhargava,Vinod Kumar Shukla Pdf

The book provides comprehensive research ideas about Edge-AI technology that can assist doctors in making better data-driven decisions. It provides insights for improving the healthcare industry by examining future trends, simplifying decision making and investigating structured and unstructured data. Edge-AI in Healthcare: Trends and Future Perspective is more than a comprehensive introduction to Artificial Intelligence as a tool in healthcare data. The book is split into five chapters covering the entire healthcare ecosystem. First section is introduction to Edge-AI in healthcare. It discusses data usage, modelling and simulation techniques as well as machine and deep learning approaches. The second section discusses the implementation of edge AI for smart healthcare. The topics discussed in this section include, AR/VR and cloud computing, big data management, algorithms, optimization, and IoMT techniques and methods. Third section covers role of Edge-AI in healthcare and the challenges and opportunities of the technologies. This section also provides case studies and discusses sustainability, security, privacy, and trust related to Edge-AI in healthcare. This book is intended to benefit researchers, academics, industry professionals, R & D organizations and students working in the field of healthcare, healthcare informatics and their applications.

Author : E. Gangadevi,M. Lawanya Shri,Rajesh Kumar Dhanaraj,Balamurugan Balusamy
Publisher : John Wiley & Sons
Page : 357 pages
File Size : 47,9 Mb
Release : 2024-03-04
Category : Science
ISBN : 9781394204854

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Computational Intelligence in Bioprinting by E. Gangadevi,M. Lawanya Shri,Rajesh Kumar Dhanaraj,Balamurugan Balusamy Pdf

COMPUTATIONAL INTELLIGENCE IN BIOPRINTING The book provides a comprehensive exploration of the evolving field of bioprinting in regenerative medicine and is an essential guide for professionals seeking a thorough understanding of the field. Computational Intelligence in Bioprinting provides a comprehensive overview of the evolving field of bioprinting in reformative medicine, defining the process of printing structures using viable cells, biomaterials, and living molecules. The primary goal is to provide substitutes for tissue implants, which might lead to eliminating the requirement for organ donors, as well as to transform animal testing for the learning and analysis of disease and the growth of treatments. The book offers a comprehensive overview of bioprinting technologies and their applications, emphasizing the integration of computation intelligence, artificial intelligence, and other computer science advancements in the field. By harnessing the power of computational intelligence techniques such as AI, machine learning, optimization algorithms, and data analytics, existing hurdles can be overcome and the full potential of bioprinting can be unlocked. The book covers an extensive range of topics, including bio-ink formulation and characterization, bioprinter hardware and software design, tissue and organ modeling, image analysis, process optimization, and quality control. Audience The book is aimed at professionals, practitioners and researchers in the fields of bioprinting, tissue engineering, and computational intelligence in medicine.

Author : Gururaj H L,Radhika A D,Divya C D,Ravi Kumar V,Yu-Chen Hu
Publisher : CRC Press
Page : 293 pages
File Size : 44,6 Mb
Release : 2023-10-10
Category : Computers
ISBN : 9781000962772

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Intelligent Systems in Healthcare and Disease Identification using Data Science by Gururaj H L,Radhika A D,Divya C D,Ravi Kumar V,Yu-Chen Hu Pdf

Presents several hot research topics which include health informatics, bioinformatics, information retrieval, artificial intelligence, soft computing, data science, big data analytics, Internet of things (IoT), intelligent communication systems, information security, information systems, and software engineering. Comprises of contiguous description of data science in context of disease prediction in human beings along with analysis of Covid-19 data. Offers knowledge on how to analyze data related to health care and apply data science models on it to derive important predictions. Introduces a variety of techniques designed to represent, enhance and empower multi-disciplinary and multi-institutional machine learning research in healthcare informatics. Highlights the importance of immutable property at data collection in health domain.

Author : Rajendra Kumar,Vishal Jain,Ahmed A. Elngar,Ahed Al-Haraizah
Publisher : Walter de Gruyter GmbH & Co KG
Page : 292 pages
File Size : 45,7 Mb
Release : 2023-11-06
Category : Computers
ISBN : 9783110981445

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Augmented and Virtual Reality in Social Learning by Rajendra Kumar,Vishal Jain,Ahmed A. Elngar,Ahed Al-Haraizah Pdf

This book focuses on the design, development, and analysis of augmented and virtual reality (AR/VR)-based systems, along with the technological impacts and challenges in social learning. Social Learning provides a comprehensive approach to researching methods in the emerging fields of AR/VR. The contributors of this book outline the state-of-the-art implementation of AR/VR for the Internet of Things, Blockchains, Big Data, and 5G within AR/VR systems.

Author : Kautish, Sandeep,Dhiman, Gaurav
Publisher : IGI Global
Page : 294 pages
File Size : 41,8 Mb
Release : 2022-06-30
Category : Computers
ISBN : 9781668444078

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AI-Enabled Multiple-Criteria Decision-Making Approaches for Healthcare Management by Kautish, Sandeep,Dhiman, Gaurav Pdf

Multiple-criteria decision making, including multiple rule-based decision making, multiple-objective decision making, and multiple-attribute decision making, is used by clinical decision makers to analyze healthcare issues from various perspectives. In practical healthcare cases, semi-structured and unstructured decision-making issues involve multiple criteria that may conflict with each other. Thus, the use of multiple-criteria decision making is a promising source of practical solutions for such problems. AI-Enabled Multiple-Criteria Decision-Making Approaches for Healthcare Management investigates the contributions of practical multiple-criteria decision analysis applications and cases for healthcare management. The book also considers the best practices and tactics for utilizing multiple-criteria decision making to ensure the technology is utilized appropriately. Covering key topics such as fuzzy data, augmented reality, blockchain, and data transmission, this reference work is ideal for computer scientists, healthcare professionals, nurses, policymakers, researchers, scholars, academicians, practitioners, educators, and students.

Author : Whig, Pawan,Sharma, Sachinn,Sharma, Seema,Jain, Anupriya,Yathiraju, Nikhitha
Publisher : IGI Global
Page : 334 pages
File Size : 53,5 Mb
Release : 2024-04-29
Category : Computers
ISBN : 9798369329108

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Practical Applications of Data Processing, Algorithms, and Modeling by Whig, Pawan,Sharma, Sachinn,Sharma, Seema,Jain, Anupriya,Yathiraju, Nikhitha Pdf

In today's data-driven era, the persistent gap between theoretical understanding and practical implementation in data science poses a formidable challenge. As we navigate through the complexities of harnessing data, deciphering algorithms, and unleashing the potential of modeling techniques, the need for a comprehensive guide becomes increasingly evident. This is the landscape explored in Practical Applications of Data Processing, Algorithms, and Modeling. This book is a solution to the pervasive problem faced by aspiring data scientists, seasoned professionals, and anyone fascinated by the power of data-driven insights. From the web of algorithms to the strategic role of modeling in decision-making, this book is an effective resource in a landscape where data, without proper guidance, risks becoming an untapped resource. The objective of Practical Applications of Data Processing, Algorithms, and Modeling is to address the pressing issue at the heart of data science – the divide between theory and practice. This book seeks to examine the complexities of data processing techniques, algorithms, and modeling methodologies, offering a practical understanding of these concepts. By focusing on real-world applications, the book provides readers with the tools and knowledge needed to bridge the gap effectively, allowing them to apply these techniques across diverse industries and domains. In the face of constant technological advancements, the book highlights the latest trends and innovative approaches, fostering a deeper comprehension of how these technologies can be leveraged to solve complex problems. As a practical guide, it empowers readers with hands-on examples, case studies, and problem-solving scenarios, aiming to instill confidence in navigating data challenges and making informed decisions using data-driven insights.

Author : Sonali Vyas,Sunil Gupta,Monit Kapoor,Samiya Khan
Publisher : CRC Press
Page : 301 pages
File Size : 54,6 Mb
Release : 2024-01-26
Category : Technology & Engineering
ISBN : 9781003825647

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Handbook on Augmenting Telehealth Services by Sonali Vyas,Sunil Gupta,Monit Kapoor,Samiya Khan Pdf

Handbook on Augmenting Telehealth Services: Using Artificial Intelligence provides knowledge of AI-empowered telehealth systems for efficient healthcare services. The handbook discusses novel innovations in telehealth using AI techniques and also focuses on emerging tools and techniques in smart health systems. The book highlights important topics such as remote diagnosis of patients and presents e-health data management showcasing smart methods that can be used to improvise healthcare support and services. The handbook also shines a light on future trends in AI-enabled telehealth systems. Features Provides knowledge of AI-empowered telehealth systems for efficient healthcare services Discusses novel innovations in telehealth using AI techniques Covers emerging tools and techniques in smart health systems Highlights remote diagnosis of patients Focuses on e-health data management and showcases smart methods used to improvise healthcare support and services Shines a light on future trends in AI-enabled telehealth systems Every individual (patients, doctors, healthcare staff, etc.) is currently getting adapted to this new evolution of healthcare. This handbook is a must-read for students, researchers, academicians, and industry professionals working in the field of artificial intelligence and its uses in the healthcare sector.

Author : M. Shamim Hossain
Publisher : Springer Nature
Page : 240 pages
File Size : 42,7 Mb
Release : 2024-05-12
Category : Electronic
ISBN : 9783031380365

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Explainable Machine Learning for Multimedia Based Healthcare Applications by M. Shamim Hossain Pdf

Author : D. Jude Hemanth
Publisher : Elsevier
Page : 350 pages
File Size : 49,9 Mb
Release : 2023-11-16
Category : Computers
ISBN : 9780443140006

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Computational Intelligence and Modelling Techniques for Disease Detection in Mammogram Images by D. Jude Hemanth Pdf

Computational Intelligence and Modelling Techniques for Disease Detection in Mammogram Images comprehensively examines the wide range of AI-based mammogram analysis methods for medical applications. Beginning with an introductory overview of mammogram data analysis, the book covers the current technologies such as ultrasound, molecular breast imaging (MBI), magnetic resonance (MR), and Positron Emission mammography (PEM), as well as the recent advancements in 3D breast tomosynthesis and 4D mammogram. Deep learning models are presented in each chapter to show how they can assist in the efficient processing of breast images. The book also discusses hybrid intelligence approaches for early-stage detection and the use of machine learning classifiers for cancer detection, staging and density assessment in order to develop a proper treatment plan. This book will not only aid computer scientists and medical practitioners in developing a real-time AI based mammogram analysis system, but also addresses the issues and challenges with the current processing methods which are not conducive for real-time applications. Presents novel ideas for AI based mammogram data analysis Discusses the roles deep learning and machine learning techniques play in efficient processing of mammogram images and in the accurate defining of different types of breast cancer Features dozens of real-world case studies from contributors across the globe

Author : Rajendra Kumar,Vishal Jain,Garry Tan Wei Han,Adberezak Touzene
Publisher : CRC Press
Page : 222 pages
File Size : 44,7 Mb
Release : 2023-10-09
Category : Computers
ISBN : 9781000964059

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Immersive Virtual and Augmented Reality in Healthcare by Rajendra Kumar,Vishal Jain,Garry Tan Wei Han,Adberezak Touzene Pdf

The book acts as a guide, taking the reader into the smart system domain and providing theoretical and practical knowledge along with case studies in smart healthcare. The book uses a blend of interdisciplinary approaches such as IoT, blockchain, augmented reality, and virtual reality for the implementation of cost-effective, real-time, and user-friendly solutions for healthcare problems. Immersive Virtual and Augmented Reality in Healthcare: An IoT and Blockchain Perspective presents the trends, best practices, techniques, developments, sensors, materials, and case studies that are using augmented and virtual reality environments with the state-of-the-art latest technologies like IoT, blockchain, and machine learning in the implementation of healthcare systems. The book focuses on the design and implementation of smart healthcare systems with major challenges to further explore more robust and efficient healthcare solutions in terms of low cost, faster algorithms, more sensitive IoT sensors, faster data communication, and real-time solutions for treatment. It discusses the use of virtual and augmented reality and how it can provide user-friendly and interactive communication within healthcare systems. Illustrated through case studies, the book conveys how different hospitals and healthcare equipment providers can adopt good practices found in the book to improve the performance/productivity of their staff and system. The content is rounded out by providing how IoT, blockchain, and artificial intelligence can provide the framework for designing and/or upgrading traditional healthcare systems by increasing security and data privacy. A valuable resource for engineers working with systems, the healthcare professionals involved in the design and development of healthcare devices and systems, researcher scholars, multidisciplinary scientists, students, and academics who are wishing to explore the use of virtual and augmented reality in new and existing healthcare systems.