Future Trends In Blockchain Scalability Interoparability And Beyond Machine Learning
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Future Trends In Blockchain Scalability Interoparability And Beyond Machine Learning
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Author : Manoj Ram Tammina
language : en
Publisher: Xoffencerpublication
Release Date : 2023-10-30
Future Trends In Blockchain Scalability Interoparability And Beyond Machine Learning written by Manoj Ram Tammina and has been published by Xoffencerpublication this book supported file pdf, txt, epub, kindle and other format this book has been release on 2023-10-30 with Business & Economics categories.
A blockchain is a distributed public ledger that records transactions in a series of linked blocks that can be accessed by anyone. Before being added to the chain, the data (block) is time-stamped and verified. Each block builds upon the data in the one before it. The data is very difficult to forge due to the mathematical complexity of the storage system. The legacy of cryptocurrencies has helped turn the cryptographic term "blockchain" into a trendy catchphrase. A lot of people think blockchain is the same thing as cryptocurrencies. The opposite is true. Blockchain is the underlying technology behind cryptocurrencies, but its uses extend well beyond that. Blockchains may be considered for use in situations requiring the validation, auditing, or exchange of data. Here, we survey the literature on integrating blockchain with machine learning, and show that the two may work together successfully and efficiently. Machine learning is an umbrella word that includes a wide range of techniques, such as traditional ML, DL, and RL. As a distributed and append-only ledger system, the blockchain is a natural instrument for sharing and processing large data from multiple sources thanks to the inclusion of smart contracts, which is a crucial component of the infrastructure necessary for big data analysis. When it comes to training and testing machine learning models, blockchain can keep data secure and promote data exchange. In addition, it paves the way for the creation of timely prediction models using several data sources by leveraging distributed computing resources (like IoT). This is crucial for deep learning processes, which need a lot of processing time. However, distributed systems are more difficult to monitor and regulate than centralized ones, and blockchain systems will create a massive quantity of data from a variety of sources. The best blockchain mechanism designs need accurate data analysis and predictions of system behaviors. Data verification, as well as the detection of harmful assaults and dishonest transactions on the blockchain, may be aided by machine learning. There is a lot to gain from studying how to merge the two technologies from different perspectives.
Artificial Intelligence In Healthcare
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Author : Adam Bohr
language : en
Publisher: Academic Press
Release Date : 2020-06-21
Artificial Intelligence In Healthcare written by Adam Bohr and has been published by Academic Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 2020-06-21 with Computers categories.
Artificial Intelligence (AI) in Healthcare is more than a comprehensive introduction to artificial intelligence as a tool in the generation and analysis of healthcare data. The book is split into two sections where the first section describes the current healthcare challenges and the rise of AI in this arena. The ten following chapters are written by specialists in each area, covering the whole healthcare ecosystem. First, the AI applications in drug design and drug development are presented followed by its applications in the field of cancer diagnostics, treatment and medical imaging. Subsequently, the application of AI in medical devices and surgery are covered as well as remote patient monitoring. Finally, the book dives into the topics of security, privacy, information sharing, health insurances and legal aspects of AI in healthcare. - Highlights different data techniques in healthcare data analysis, including machine learning and data mining - Illustrates different applications and challenges across the design, implementation and management of intelligent systems and healthcare data networks - Includes applications and case studies across all areas of AI in healthcare data
Beyond Silicon Advancements And Trends In Modern Computer Technology
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Author : Dr. R. Sarankumar
language : en
Publisher: Inkbound Publishers
Release Date : 2023-02-07
Beyond Silicon Advancements And Trends In Modern Computer Technology written by Dr. R. Sarankumar and has been published by Inkbound Publishers this book supported file pdf, txt, epub, kindle and other format this book has been release on 2023-02-07 with Computers categories.
Discover the latest trends and advancements in computer technology beyond traditional silicon-based systems. This book highlights innovations in hardware and computing paradigms, providing a glimpse into the future of technology and its potential to reshape industries.
Proceedings Of The 19th International Conference On Cyber Warfare And Security
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Author : UKDr. Stephanie J. Blackmonand Dr. Saltuk Karahan
language : en
Publisher: Academic Conferences and publishing limited
Release Date : 2025-04-20
Proceedings Of The 19th International Conference On Cyber Warfare And Security written by UKDr. Stephanie J. Blackmonand Dr. Saltuk Karahan and has been published by Academic Conferences and publishing limited this book supported file pdf, txt, epub, kindle and other format this book has been release on 2025-04-20 with Business & Economics categories.
The International Conference on Cyber Warfare and Security (ICCWS) is a prominent academic conference that has been held annually for 20 years, bringing together researchers, practitioners, and scholars from around the globe to discuss and advance the field of cyber warfare and security. The conference proceedings are published each year, contributing to the body of knowledge in this rapidly evolving domain. The Proceedings of the 19th International Conference on Cyber Warfare and Security, 2024 includes Academic research papers, PhD research papers, Master’s Research papers and work-in-progress papers which have been presented and discussed at the conference. The proceedings are of an academic level appropriate to a professional research audience including graduates, post-graduates, doctoral and and post-doctoral researchers. All papers have been double-blind peer reviewed by members of the Review Committee.
Advancing Cybersecurity In Smart Factories Through Autonomous Robotic Defenses
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Author : Kumar, Rajeev
language : en
Publisher: IGI Global
Release Date : 2025-04-29
Advancing Cybersecurity In Smart Factories Through Autonomous Robotic Defenses written by Kumar, Rajeev and has been published by IGI Global this book supported file pdf, txt, epub, kindle and other format this book has been release on 2025-04-29 with Computers categories.
As industrial automation increasingly relies on artificial intelligence (AI) to drive robotic and drone technologies, the need to secure these systems against sophisticated cyber threats has become paramount. By exploring the cybersecurity challenges and solutions for AI-powered industrial systems, AI has become key for advancing real-time threat detection and adversarial machine learning attacks. The implementations of secure AI-driven robotics and drones reach various industrial sectors such as manufacturing, energy, logistics, and agriculture. AI is transforming industrial automation and, at the same time, exposing these systems to new vulnerabilities. Advancing Cybersecurity in Smart Factories Through Autonomous Robotic Defenses bridges the gap between the technical aspects of AI, industrial automation, and the evolving landscape of cybersecurity. This book provides readers with insight into the most recent advancements in AI-powered security tools, explore ethical and regulatory considerations, and learn practical strategies to protect complex systems from cyberattacks. Covering topics such as smart factories, wearable devices, and drone systems, this book is an excellent resource for cybersecurity professionals, computer engineers, industrial engineers, policymakers, policy regulators, professionals, researchers, scholars, academicians, and more.
Human Centric Integration Of Next Generation Data Science And Blockchain Technology
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Author : Amit Kumar Tyagi
language : en
Publisher: Academic Press
Release Date : 2025-03-17
Human Centric Integration Of Next Generation Data Science And Blockchain Technology written by Amit Kumar Tyagi and has been published by Academic Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 2025-03-17 with Science categories.
Human- Centric Integration of Next Generation Data Science and Blockchain Technology: Advancing Society 5.0 Paradigms focuses on the current technological landscape, addressing the evolving integration of data science and blockchain within the context of Society 5.0. This comprehensive resource explains the convergences between data science, blockchain, and the human-centric vision of Society 5.0, while also filling the gap in understanding and navigating this transformative intersection with recent shifts towards more decentralized and data-driven paradigms.The book introduces the concept of Society 5.0, examining the historical context, and outlines the evolving technological landscape shaping our interconnected future. It discusses the fundamental principles of data science, from data collection and preprocessing to exploratory data analysis and explains the transformative impact of data science and blockchain across industries such as healthcare, finance, education, and transportation. This book is essential to understanding and shaping the future of technology and society from decentralized solutions to predictive analytics/ emerging technologies. - Addresses the evolving integration of data science and blockchain within the context of Society 5.0 - Introduces the basic architecture and taxonomy of blockchain technology - Explores the future urban lives under the concept of "Society 5.0", characterized by the key phrases of data-driven society and knowledge-intensive society - Offers a firm foundation and understanding of recent advancements in various domains such as data analytics, neural networks, computer vision, and robotics, along with practical solutions to existing problems in fields such as healthcare, manufacturing industries, security, and infrastructure management
Proceedings Of The 4th International Conference On Management Science And Software Engineering Icmsse 2024
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Author : Kun Zhang
language : en
Publisher: Springer Nature
Release Date : 2024-10-26
Proceedings Of The 4th International Conference On Management Science And Software Engineering Icmsse 2024 written by Kun Zhang and has been published by Springer Nature this book supported file pdf, txt, epub, kindle and other format this book has been release on 2024-10-26 with Business & Economics categories.
This is an open access book. About ICMSSE 2024 2024 International Conference on Management Science and Software Engineering **Introduction** In an era where the complex interplay between management science and software engineering is increasingly becoming the backbone of modern organizational agility, innovation, and competitive advantage, 2024 International Conference on Management Science and Software Engineering (ICMSSE2024) emerges as a paramount academic event. This conference aims to bridge the theoretical foundations and practical applications of both fields, fostering a rich exchange of knowledge among academics, researchers, and practitioners. **Research Background** Management science and software engineering, as two pivotal disciplines, have separately contributed to the landscapes of operational excellence and technological advancement. However, the intersection of these domains holds the potential to revolutionize how businesses operate, innovate, and respond to market dynamics. The integration of robust management theories with cutting-edge software engineering practices is critical in addressing contemporary challenges such as digital transformation, agile management, data analytics, and sustainable development. **Themes** The ICMSSE2024 is structured around several key themes that reflect the current trends and future directions in both fields. These include, but are not limited to: - Agile methodologies and their implications for project management and organizational behavior. - Data science and its role in strategic decision-making, risk management, and optimization. - Software engineering practices that enhance operational efficiency, product innovation, and customer satisfaction. - The impact of emerging technologies (AI, IoT, blockchain) on management strategies and business models. - Sustainability and ethics in management practices and software development.
Blockchain Internet Of Things And Artificial Intelligence
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Author : Naveen Chilamkurti
language : en
Publisher: CRC Press
Release Date : 2021-04-01
Blockchain Internet Of Things And Artificial Intelligence written by Naveen Chilamkurti and has been published by CRC Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 2021-04-01 with Computers categories.
Blockchain, Internet of Things, and Artificial Intelligence provides an integrated overview and technical description of the fundamental concepts of blockchain, IoT, and AI technologies. State-of-the-art techniques are explored in depth to discuss the challenges in each domain. The convergence of these revolutionized technologies has leveraged several areas that receive attention from academicians and industry professionals, which in turn promotes the book's accessibility more extensively. Discussions about an integrated perspective on the influence of blockchain, IoT, and AI for smart cities, healthcare, and other business sectors illuminate the benefits and opportunities in the ecosystems worldwide. The contributors have focused on real-world examples and applications and highlighted the significance of the strengths of blockchain to transform the readers’ thinking toward finding potential solutions. The faster maturity and stability of blockchain is the key differentiator in artificial intelligence and the Internet of Things. This book discusses their potent combination in realizing intelligent systems, services, and environments. The contributors present their technical evaluations and comparisons with existing technologies. Theoretical explanations and experimental case studies related to real-time scenarios are also discussed. FEATURES Discusses the potential of blockchain to significantly increase data while boosting accuracy and integrity in IoT-generated data and AI-processed information Elucidates definitions, concepts, theories, and assumptions involved in smart contracts and distributed ledgers related to IoT systems and AI approaches Offers real-world uses of blockchain technologies in different IoT systems and further studies its influence in supply chains and logistics, the automotive industry, smart homes, the pharmaceutical industry, agriculture, and other areas Presents readers with ways of employing blockchain in IoT and AI, helping them to understand what they can and cannot do with blockchain Provides readers with an awareness of how industry can avoid some of the pitfalls of traditional data-sharing strategies This book is suitable for graduates, academics, researchers, IT professionals, and industry experts.
Smart Data Intelligence
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Author : R. Asokan
language : en
Publisher: Springer Nature
Release Date : 2024-07-27
Smart Data Intelligence written by R. Asokan and has been published by Springer Nature this book supported file pdf, txt, epub, kindle and other format this book has been release on 2024-07-27 with Computers categories.
This book presents high-quality research papers presented at 4th International Conference on Smart Data Intelligence (ICSMDI 2024) organized by Kongunadu College of Engineering and Technology at Trichy, Tamil Nadu, India, during February 2024. This book brings out the new advances and research results in the fields of algorithmic design, data analysis, and implementation on various real-time applications. It discusses many emerging related fields like big data, data science, artificial intelligence, machine learning, and deep learning which have deployed a paradigm shift in various data-driven approaches that tends to evolve new data-driven research opportunities in various influential domains like social networks, health care, information, and communication applications.
Computational Intelligence In Industry 4 0 And 5 0 Applications
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Author : JOSEPH BAMIDELE AWOTUNDE
language : en
Publisher: CRC Press
Release Date : 2025-02-06
Computational Intelligence In Industry 4 0 And 5 0 Applications written by JOSEPH BAMIDELE AWOTUNDE and has been published by CRC Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 2025-02-06 with Computers categories.
Industry 4.0 and 5.0 applications will revolutionize production, enabling smart manufacturing machines to interact with their environments. These machines will become self-aware, self-learning, and capable of real-time data interpretation for self-diagnosis and prevention of production issues. They will also self-calibrate and prioritize tasks to enhance production quality and efficiency. Computational Intelligence in Industry 4.0 and 5.0 Applications examines applications that merge three key disciplines: computational intelligence (CI), Industry 4.0, and Industry 5.0. It presents solutions using Industrial Internet of Things (IIoT) technologies, augmented by CI-based techniques, modeling, controls, estimations, applications, systems, and future scopes. These applications use data from smart sensors, processed through enhanced CI methods, to make smart automation more effective. Industry 4.0 integrates data and intelligent automation into manufacturing, using technologies like CI, the IoT, the IIoT, and cloud computing. It transforms data into actionable insights for decision-making and process optimization, essential for modern competitive businesses managing high-speed data integration in production processes. Currently, Industries 4.0 and 5.0 are undergoing significant transformations due to advances in applying artificial intelligence (AI), big data analytics, telecommunication technologies, and control theory. These applications are increasingly multidisciplinary, integrating mechanical, control, and information technologies. However, they face such technical challenges as parametric uncertainties, external disturbances, sensor noise, and mechanical failures. To address these, this book examines such CI technologies as fuzzy logic, neural networks, and reinforcement learning and their application to modeling, control, and estimation. It also covers recent advancements in IIoT sensors, microcontrollers, and big data analytics that further enhance CI-based solutions in Industry 4.0 and 5.0 systems.