Demystifying Federated Learning for Blockchain and Industrial Internet of Things


Demystifying Federated Learning for Blockchain and Industrial Internet of Things
by Sandeep Kautish (Editor), Gaurav Dhiman (Editor)
Publisher Finelybook 出版社: Engineering Science Reference (June 17, 2022)
Language 语言: English
pages 页数: 240 pages
ISBN-10 书号: 1668437341
ISBN-13 书号: 9781668437346


Book Description
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.

Advancements in Quantum Blockchain With Real-time Applications


Advancements in Quantum Blockchain With Real-time Applications
by Mahendra Shrivas (Editor), Kamal Hiran (Editor), Ashok Bhansali (Editor), Ruchi Doshi (Editor)
Publisher Finelybook 出版社: Engineering Science Reference (June 30, 2022)
Language 语言: English
pages 页数: 311 pages
ISBN-10 书号: 1668450739
ISBN-13 书号: 9781668450734


Book Description
The amalgamation of post-quantum cryptography in cyber-physical systems makes the computing system secure and also generates opportunities in areas like smart contracts, quantum blockchain, and smart security solutions. Sooner or later, all computing and security systems are going to adopt quantum-proof cryptography to safeguard these systems from quantum attacks. Post-quantum cryptography has tremendous potential in various domains and must be researched and explored further to be utilized successfully. Advancements in Quantum Blockchain With Real-Time Applications considers various concepts of computing such as quantum computing, post-quantum cryptography, quantum attack-resistant blockchain, quantum blockchains, and multidisciplinary applications and real-world use cases. The book also discusses solutions to various real-world problems within the industry. Covering key topics such as cybersecurity, data management, and smart society, this reference work is ideal for computer scientists, industry professionals, academicians, practitioners, scholars, researchers, instructors, and students.

Advanced Machine Learning Algorithms for Complex Financial Applications


Advanced Machine Learning Algorithms for Complex Financial Applications
by Mohammad Irfan (Editor), Mohamed Elhoseny (Editor), Salina Kassim (Editor)
Publisher Finelybook 出版社: IGI Global (January 9, 2023)
Language 语言: English
pages 页数: 324 pages
ISBN-10 书号: 1668444844
ISBN-13 书号: 9781668444849


Book Description
The advancements in artificial intelligence and machine learning have significantly affected the way financial services are offered and adopted today. Important financial decisions such as investment decision making, macroeconomic analysis, and credit evaluation are becoming more complex within the field of finance. Artificial intelligence and machine learning, with their spectacular success accompanied by unprecedented accuracies, have become increasingly important in the finance world. Advanced Machine Learning Algorithms for Complex Financial Applications provides innovative research on the roles of artificial intelligence and machine learning algorithms in financial sectors with special reference to complex financial applications such as financial risk management in big data environments. In addition, the book addresses broad challenges in both theoretical and application aspects of artificial intelligence in the field of finance. Covering essential topics such as secure transactions, financial monitoring, and data modeling, this reference work is crucial for financial specialists, researchers, academicians, scholars, practitioners, instructors, and students.

File size:True EPUB,convert PDF

Strategies and Opportunities for Technology in the Metaverse World


Strategies and Opportunities for Technology in the Metaverse World
by P.c. Lai (Editor)
Publisher Finelybook 出版社: Engineering Science Reference (January 6, 2023)
Language 语言: English
pages 页数: 320 pages
ISBN-10 书号: 1668457334
ISBN-13 书号: 9781668457337


Book Description
The rise of metaverse technologies has had a critical impact on the modern world. Due to the recent popularity of this technology, it is important to understand the strategies, opportunities, and challenges contained in the metaverse world in order to appropriately utilize it across fields. Strategies and Opportunities for Technology in the Metaverse World explores the opportunities and challenges facing the metaverse and considers the strategies and opportunities of metaverse technologies in various industries and countries. Covering a range of topics such as blockchain, artificial intelligence, virtual reality, and machine learning, this reference work is ideal for computer scientists, researchers, scholars, policymakers, academicians, practitioners, educators, and students.

File size:True EPUB,convert PDF

Ai-enabled Agile Internet of Things for Sustainable Fintech Ecosystems


Ai-enabled Agile Internet of Things for Sustainable Fintech Ecosystems
by Sandeep Kautish (Editor), Guneet Kaur (Editor)

Publisher Finelybook 出版社: Engineering Science Reference (June 17, 2022)
Language 语言: English
pages 页数: 300 pages
ISBN-10 书号: 1668441772
ISBN-13 书号: 9781668441770


Book Description
As the spectrum of the internet of things (IoT) expands, artificial intelligence (AI)-assisted agile IoT is the way forward for sustainable finance. The depth of agile IoT has changed the financial market, and it may quickly evolve as a powerful tool in the future. The convergence of AI and IoT techniques will significantly extract valuable financial information and offer better services to customers. Some of the potential benefits of AI-assisted agile IoT for FinTech include prompt customer support, in-door client navigation, on-site queue management, improved customer experience, security and authenticity, wireless payments, increased business efficiency, self-checkout services, and business automation. There is no doubt that leveraging the complete potential of AI-assisted agile IoT will result in the creation of a new and innovative financial system. AI-Enabled Agile Internet of Things for Sustainable FinTech Ecosystems presents the advances in AI-assisted agile IoT for financial technologies (FinTech). It further explains the new applications, current issues, challenges, and future directions of the field of AI-assisted agile IoT for FinTech applications and ecosystems. Covering topics such as consensus algorithms, IoT-based banking, and secure authentication, this premier reference source is an excellent resource for business executives and managers, IT managers, librarians, students and faculty of higher education, researchers, and academicians.

File size:convert PDF,True EPUB

Principles and Applications of Socio-cognitive and Affective Computing


Principles and Applications of Socio-cognitive and Affective Computing
by S. Geetha (Editor), Karthika Renuka (Editor), Asnath Phamila (Editor), Karthikeyan N. (Editor)
Publisher Finelybook 出版社: Engineering Science Reference (an Imprint of Igi Global) (September 30, 2022)
Language 语言: English
pages 页数: 253 pages
ISBN-10 书号: 1668438445
ISBN-13 书号: 9781668438442


Book Description
Recent advances in socio-cognitive and affective computing require further study as countless benefits and opportunities have emerged from these innovative technologies that may be useful in a number of contexts throughout daily life. In order to ensure these technologies are appropriately utilized across sectors, the challenges and strategies for adoption as well as potential uses must be thoroughly considered. Principles and Applications of Socio-Cognitive and Affective Computing discusses several aspects of affective interactions and concepts in affective computing, the fundamentals of emotions, and emerging research and exciting techniques for bridging the emotional disparity between humans and machines, all within the context of interactions. The book also considers problem and solution guidelines emerging in cognitive computing, thus summarizing the roadmap of current machine computational intelligence techniques for affective computing. Covering a range of topics such as social interaction, robotics, and virtual reality, this reference work is crucial for scientists, engineers, industry professionals, academicians, researchers, scholars, practitioners, instructors, and students.

Constraint Decision-Making Systems in Engineering


Constraint Decision-Making Systems in Engineering
by Santosh Kumar Das (Editor), Nilanjan Dey (Editor)
Publisher Finelybook 出版社: IGI Global (April 14, 2023)
Language 语言: English
pages 页数: 340 pages
ISBN-10 书号: 1668473445
ISBN-13 书号: 9781668473443


Book Description
In recent years, most applications deal with constraint decision-making systems as problems are based on imprecise information and parameters. It is difficult to understand the nature of data based on applications and it requires a specific model for understanding the nature of the system. Further research on constraint decision-making systems in engineering is required. Constraint Decision-Making Systems in Engineering derives and explores several types of constraint decisions in engineering and focuses on new and innovative conclusions based on problems, robust and efficient systems, and linear and non-linear applications. Covering topics such as fault detection, data mining techniques, and knowledge-based management, this premier reference source is an essential resource for engineers, managers, computer scientists, students and educators of higher education, librarians, researchers, and academicians.

New Approaches to Data Analytics and Internet of Things Through Digital Twin


New Approaches to Data Analytics and Internet of Things Through Digital Twin
by P Karthikeyan (Editor), Polinpapilinho F Katina (Editor), S P Anandaraj (Editor)
Publisher Finelybook 出版社: Engineering Science Reference (September 30, 2022)
Language 语言: English
pages 页数: 307 pages
ISBN-10 书号: 1668457237
ISBN-13 书号: 9781668457238


Book Description
Even though many data analytics tools have been developed in the past years, their usage in the field of cyber twin warrants new approaches that consider various aspects including unified data representation, zero-day attack detection, data sharing across threat detection systems, real-time analysis, sampling, dimensionality reduction, resource-constrained data processing, and time series analysis for anomaly detection. Further study is required to fully understand the opportunities, benefits, and difficulties of data analytics and the internet of things in today's modern world. New Approaches to Data Analytics and Internet of Things Through Digital Twin considers how data analytics and the internet of things can be used successfully within the field of digital twin as well as the potential future directions of these technologies. Covering key topics such as edge networks, deep learning, intelligent data analytics, and knowledge discovery, this reference work is ideal for computer scientists, industry professionals, researchers, scholars, practitioners, academicians, instructors, and students.

Applications of Artificial Intelligence in Medical Imaging


Applications of Artificial Intelligence in Medical Imaging (Artificial Intelligence Applications in Healthcare and Medicine)
by Abdulhamit Subasi (Editor)
Publisher Finelybook 出版社: Academic Press; (November 25, 2022)
Language 语言: English
pages 页数: 380 pages
ISBN-10 书号: 044318450X
ISBN-13 书号: 9780443184505


Book Description
Applications of Artificial Intelligence in Medical Imaging provides the description of various biomedical image analysis in disease detection using AI that can be used to incorporate knowledge obtained from different medical imaging devices such as CT, X-ray, PET and ultrasound. The book discusses the use of AI for detection of several cancer types, including brain tumor, breast, pancreatic, rectal, lung colon, and skin. In addition, it explains how AI and deep learning techniques can be used to diagnose Alzheimer's, Parkinson's, COVID-19 and mental conditions.
This is a valuable resource for clinicians, researchers and healthcare professionals who are interested in learning more about AI and its impact in medical/biomedical image analysis.

Digital Twin for Healthcare: Design, Challenges, and Solutions


Digital Twin for Healthcare: Design, Challenges, and Solutions
by Abdulmotaleb El Saddik (Editor)
Publisher Finelybook 出版社: Academic Press; (December 7, 2022)
Language 语言: English
pages 页数: 378 pages
ISBN-10 书号: 0323991637
ISBN-13 书号: 9780323991636


Book Description
Digital Twins for Healthcare: Design, Challenges and Solutions establishes the state-of-art in the specification, design, creation, deployment and exploitation of digital twins' technologies for healthcare and wellbeing.
A digital twin is a digital replication of a living or non-living physical entity. When data is transmitted seamlessly, it bridges the physical and virtual worlds, thus allowing the virtual entity to exist simultaneously with the physical entity. A digital twin facilitates the means to understand, monitor, and optimize the functions of the physical entity and provide continuous feedback. It can be used to improve citizens' quality of life and wellbeing in smart cities and the virtualization of industrial processes.