AI and Blockchain Applications in Industrial Robotics

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Publisher : IGI Global
ISBN 13 :
Total Pages : 432 pages
Book Rating : 4.3/5 (693 download)

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Book Synopsis AI and Blockchain Applications in Industrial Robotics by : Biradar, Rajashekhar C.

Download or read book AI and Blockchain Applications in Industrial Robotics written by Biradar, Rajashekhar C. and published by IGI Global. This book was released on 2023-12-29 with total page 432 pages. Available in PDF, EPUB and Kindle. Book excerpt: The ever-evolving industrial landscape poses challenges for businesses, particularly in robotics, where performance optimization and data security are paramount. AI and Blockchain Applications in Industrial Robotics, edited by esteemed scholars Mihai Lazarescu, Rajashekhar Biradar, Geetha Devanagavi, Nikhath Tabassum, and Nayana Hegde, presents the transformative potential of combining AI and blockchain technologies to revolutionize the field. This exceptional book provides comprehensive insights into how AI enhances predictive models and pattern recognition, while blockchain ensures secure and immutable data transactions. By synergizing these technologies, businesses can achieve enhanced transparency, trust, and efficiency in their robotic processes. With practical applications, use cases, and real-world examples, the book caters to a wide range of readers, empowering them to embrace the possibilities of AI and blockchain in industrial robotics. AI and Blockchain Applications in Industrial Robotics equip industries with the tools and understanding to overcome challenges in optimizing performance, ensuring data security, and harnessing emerging technologies. Serving as a beacon of knowledge, this book drives innovation, efficiency, and competitiveness in the industrial sector. Whether for postgraduate students, researchers, industry professionals, undergraduate students, or freelance developers, the book provides valuable insights and practical guidance for implementing AI and blockchain solutions. By embracing the transformative potential of these technologies, industries can unlock new possibilities and propel themselves forward in the ever-advancing world of industrial robotics.

Industrial Applications of Big Data, AI, and Blockchain

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Publisher : IGI Global
ISBN 13 :
Total Pages : 366 pages
Book Rating : 4.3/5 (693 download)

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Book Synopsis Industrial Applications of Big Data, AI, and Blockchain by : El Samad, Mahmoud

Download or read book Industrial Applications of Big Data, AI, and Blockchain written by El Samad, Mahmoud and published by IGI Global. This book was released on 2024-01-29 with total page 366 pages. Available in PDF, EPUB and Kindle. Book excerpt: Blockchain has become the cornerstone of technologies, supported by others including Big Data and Artificial Intelligence (AI). Originating from cryptocurrency, it transcends boundaries, finding resonance in finance, healthcare, e-governance, and beyond. While blockchain relies on a peer-to-peer approach, enabling nodes to collaborate without the shackles of a central authority, appropriate monitoring and updating of these technologies is a constant necessity. This is especially true for healthcare data systems, where data privacy and security concerns, especially with sensitive health information are paramount. Threads of automation in artificial intelligence (AI) weave through sectors such as business, finance, healthcare, marketing, and governance. Industrial Applications of Big Data, AI, and Blockchain delves into the pulsating realms of big data, AI, and blockchain. From natural language processing's eloquent interpretation of human language to the prowess of AI algorithms in predictive tasks, this book explores how AI enhances decision-making accuracy, catalyzing a paradigm shift in diverse industries. This book is ideal for researchers, business visionaries, tech enthusiasts, and curious minds eager to fathom the transformative potential of these technologies.

Applied AI and Humanoid Robotics for the Ultra-Smart Cyberspace

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Publisher : IGI Global
ISBN 13 :
Total Pages : 329 pages
Book Rating : 4.3/5 (693 download)

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Book Synopsis Applied AI and Humanoid Robotics for the Ultra-Smart Cyberspace by : Babulak, Eduard

Download or read book Applied AI and Humanoid Robotics for the Ultra-Smart Cyberspace written by Babulak, Eduard and published by IGI Global. This book was released on 2024-06-04 with total page 329 pages. Available in PDF, EPUB and Kindle. Book excerpt: In the rapidly transforming landscape of fast-paced technology evolution, the fusion of artificial intelligence (AI) and humanoid robotics is set to redefine academia as we know it. From advancements in AI, humanoid robotics, nano and bio technologies, and smart medicine, the vision of an ultra-smart cyberspace is becoming a tangible reality. Yet, amid this transformative potential, scholars face a pressing challenge – how to navigate the complexities of these cutting-edge technologies to drive impactful research and innovation. Applied AI and Humanoid Robotics for the Ultra-Smart Cyberspace beckons scholars to harness the full potential of applied AI and humanoid robotics in academia. This book illuminates the most effective applications of these technologies across various disciplines such as industry, business, health, government, military, and critical cyber infrastructure. Through rigorously peer-reviewed chapters, the book addresses key issues, provides technical solutions, and guides future research directions, fostering a collaborative bridge between academia and industry.

Innovations in the Industrial Internet of Things (IIoT) and Smart Factory

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Publisher : IGI Global
ISBN 13 : 1799833771
Total Pages : 311 pages
Book Rating : 4.7/5 (998 download)

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Book Synopsis Innovations in the Industrial Internet of Things (IIoT) and Smart Factory by : Goundar, Sam

Download or read book Innovations in the Industrial Internet of Things (IIoT) and Smart Factory written by Goundar, Sam and published by IGI Global. This book was released on 2021-01-22 with total page 311 pages. Available in PDF, EPUB and Kindle. Book excerpt: Industrial internet of things (IIoT) is changing the face of industry by completely redefining the way stakeholders, enterprises, and machines connect and interact with each other in the industrial digital ecosystem. Smart and connected factories, in which all the machinery transmits real-time data, enable industrial data analytics for improving operational efficiency, productivity, and industrial processes, thus creating new business opportunities, asset utilization, and connected services. IIoT leads factories to step out of legacy environments and arcane processes towards open digital industrial ecosystems. Innovations in the Industrial Internet of Things (IIoT) and Smart Factory is a pivotal reference source that discusses the development of models and algorithms for predictive control of industrial operations and focuses on optimization of industrial operational efficiency, rationalization, automation, and maintenance. While highlighting topics such as artificial intelligence, cyber security, and data collection, this book is ideally designed for engineers, manufacturers, industrialists, managers, IT consultants, practitioners, students, researchers, and industrial industry professionals.

Applications of Blockchain and Artificial Intelligence in Finance and Governance

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Publisher : CRC Press
ISBN 13 : 1040130364
Total Pages : 292 pages
Book Rating : 4.0/5 (41 download)

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Book Synopsis Applications of Blockchain and Artificial Intelligence in Finance and Governance by : A M Viswa Bharathy

Download or read book Applications of Blockchain and Artificial Intelligence in Finance and Governance written by A M Viswa Bharathy and published by CRC Press. This book was released on 2024-11-08 with total page 292 pages. Available in PDF, EPUB and Kindle. Book excerpt: In the rapidly evolving landscape of finance and governance, the integration of blockchain technology and artificial intelligence is reshaping the way we perceive and interact with traditional systems. In Applications of Blockchain and Artificial Intelligence in Finance and Governance, the authors delve into the intricacies of this dynamic intersection, offering a comprehensive exploration of the transformative potential of these cutting-edge technologies. From dissecting the symbiotic relationship between artificial intelligence and blockchain to examining their profound impact on cryptocurrency markets, each chapter offers invaluable insights into the role of these technologies in shaping the future of finance. With a meticulous review of open risks and challenges, the book navigates through the complexities of data security in public and consortium blockchain systems, paving the way for enhanced trust and transparency in financial transactions. Through real-world case studies and theoretical frameworks, readers are guided through the application of intelligent resource allocation for data analytics, unlocking the potential for optimized decision-making in blockchain-enabled financial transactions. Moreover, the book explores the revolutionary implications of blockchain and AI in maintaining smart governance records, revolutionizing accountability and efficiency in public administration. This book: Introduces a step-by-step procedure for developing blockchain and artificial intelligence-based applications for the finance industry using decentralized applications and hyperledgers. Discusses improved trust framework and data integrity in the blockchain using artificial intelligence in the finance sector. Highlights the importance of blockchain in solving transaction costs, coordination costs, and supervision costs for efficient resource allocation. Explores the use of explainable artificial intelligence for policy development, service delivery, and regulatory compliance. Explains how federated learning can be used to build more accurate and robust models for financial risk assessment, fraud detection, and customer profiling. From the transformative effects on the accounting profession to the burgeoning adoption of blockchain technology in supply chain finance, this book serves as an indispensable guide for professionals, academics, and enthusiasts alike. Applications of Blockchain and Artificial Intelligence in Finance and Governance illuminates the path toward a more secure, efficient, and equitable financial future, where innovation and collaboration reign supreme.

Quantum Computing and Supply Chain Management: A New Era of Optimization

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Publisher : IGI Global
ISBN 13 :
Total Pages : 512 pages
Book Rating : 4.3/5 (693 download)

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Book Synopsis Quantum Computing and Supply Chain Management: A New Era of Optimization by : Hassan, Ahdi

Download or read book Quantum Computing and Supply Chain Management: A New Era of Optimization written by Hassan, Ahdi and published by IGI Global. This book was released on 2024-07-23 with total page 512 pages. Available in PDF, EPUB and Kindle. Book excerpt: Today's supply chains are becoming more complex and interconnected. As a result, traditional optimization engines struggle to cope with the increasing demands for real-time order fulfillment and inventory management. With the expansion and diversification of supply chain networks, these engines require additional support to handle the growing complexity effectively. This poses a significant challenge for supply chain professionals who must find efficient and cost-effective solutions to streamline their operations and promptly meet customer demands. Quantum Computing and Supply Chain Management: A New Era of Optimization offers a transformative solution to these challenges. By harnessing the power of quantum computing, this book explores how supply chain planners can overcome the limitations of traditional optimization engines. Quantum computing's ability to process vast amounts of data from IoT sensors in real time can revolutionize inventory management, resource allocation, and logistics within the supply chain. It provides a theoretical framework and practical examples to illustrate how quantum algorithms can enhance transparency, optimize dynamic inventory allocation, and improve supply chain resilience.

Deep Natural Language Processing and AI Applications for Industry 5.0

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Publisher : IGI Global
ISBN 13 : 1799877302
Total Pages : 240 pages
Book Rating : 4.7/5 (998 download)

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Book Synopsis Deep Natural Language Processing and AI Applications for Industry 5.0 by : Tanwar, Poonam

Download or read book Deep Natural Language Processing and AI Applications for Industry 5.0 written by Tanwar, Poonam and published by IGI Global. This book was released on 2021-06-25 with total page 240 pages. Available in PDF, EPUB and Kindle. Book excerpt: To sustain and stay at the top of the market and give absolute comfort to the consumers, industries are using different strategies and technologies. Natural language processing (NLP) is a technology widely penetrating the market, irrespective of the industry and domains. It is extensively applied in businesses today, and it is the buzzword in every engineer’s life. NLP can be implemented in all those areas where artificial intelligence is applicable either by simplifying the communication process or by refining and analyzing information. Neural machine translation has improved the imitation of professional translations over the years. When applied in neural machine translation, NLP helps educate neural machine networks. This can be used by industries to translate low-impact content including emails, regulatory texts, etc. Such machine translation tools speed up communication with partners while enriching other business interactions. Deep Natural Language Processing and AI Applications for Industry 5.0 provides innovative research on the latest findings, ideas, and applications in fields of interest that fall under the scope of NLP including computational linguistics, deep NLP, web analysis, sentiments analysis for business, and industry perspective. This book covers a wide range of topics such as deep learning, deepfakes, text mining, blockchain technology, and more, making it a crucial text for anyone interested in NLP and artificial intelligence, including academicians, researchers, professionals, industry experts, business analysts, data scientists, data analysts, healthcare system designers, intelligent system designers, practitioners, and students.

Regulatory Aspects of Artificial Intelligence on Blockchain

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Publisher : IGI Global
ISBN 13 : 1799879291
Total Pages : 273 pages
Book Rating : 4.7/5 (998 download)

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Book Synopsis Regulatory Aspects of Artificial Intelligence on Blockchain by : Tehrani, Pardis Moslemzadeh

Download or read book Regulatory Aspects of Artificial Intelligence on Blockchain written by Tehrani, Pardis Moslemzadeh and published by IGI Global. This book was released on 2021-09-24 with total page 273 pages. Available in PDF, EPUB and Kindle. Book excerpt: The convergence of Artificial Intelligence (AI) in blockchain creates one of the world’s most reliable technology-enabled decision-making systems that is virtually tamper-proof and provides solid insights and decisions. The integration of AI and Blockchain affects many aspects from food supply chain logistics and healthcare record sharing to media royalties and financial security. It is imperative that regulatory standards are emphasized in order to support positive outcomes from the integration of AI in blockchain technology. Regulatory Aspects of Artificial Intelligence on Blockchain provides relevant legal and security frameworks and the latest empirical research findings in blockchain and AI. Through the latest research and standards, the book identifies and offers solutions for overcoming legal consequences that pertain to the application of AI into the blockchain system, especially concerning the usage of smart contracts. The chapters, while investigating the legal and security issues associated with these applications, also include topics such as smart contacts, network vulnerability, cryptocurrency, machine learning, and more. This book is essential for technologists, security analysts, legal specialists, privacy and data security practitioners, IT consultants, standardization professionals, researchers, academicians, and students interested in blockchain and AI from a legal and security viewpoint.

Computational Intelligence in Internet of Agricultural Things

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Publisher : Springer Nature
ISBN 13 : 3031674502
Total Pages : 464 pages
Book Rating : 4.0/5 (316 download)

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Book Synopsis Computational Intelligence in Internet of Agricultural Things by : M. G. Sumithra

Download or read book Computational Intelligence in Internet of Agricultural Things written by M. G. Sumithra and published by Springer Nature. This book was released on with total page 464 pages. Available in PDF, EPUB and Kindle. Book excerpt:

Elements of Robotics

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Publisher : Springer
ISBN 13 : 3319625330
Total Pages : 311 pages
Book Rating : 4.3/5 (196 download)

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Book Synopsis Elements of Robotics by : Mordechai Ben-Ari

Download or read book Elements of Robotics written by Mordechai Ben-Ari and published by Springer. This book was released on 2017-10-25 with total page 311 pages. Available in PDF, EPUB and Kindle. Book excerpt: This open access book bridges the gap between playing with robots in school and studying robotics at the upper undergraduate and graduate levels to prepare for careers in industry and research. Robotic algorithms are presented formally, but using only mathematics known by high-school and first-year college students, such as calculus, matrices and probability. Concepts and algorithms are explained through detailed diagrams and calculations. Elements of Robotics presents an overview of different types of robots and the components used to build robots, but focuses on robotic algorithms: simple algorithms like odometry and feedback control, as well as algorithms for advanced topics like localization, mapping, image processing, machine learning and swarm robotics. These algorithms are demonstrated in simplified contexts that enable detailed computations to be performed and feasible activities to be posed. Students who study these simplified demonstrations will be well prepared for advanced study of robotics. The algorithms are presented at a relatively abstract level, not tied to any specific robot. Instead a generic robot is defined that uses elements common to most educational robots: differential drive with two motors, proximity sensors and some method of displaying output to the user. The theory is supplemented with over 100 activities, most of which can be successfully implemented using inexpensive educational robots. Activities that require more computation can be programmed on a computer. Archives are available with suggested implementations for the Thymio robot and standalone programs in Python.

Multirobot Systems

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Publisher :
ISBN 13 :
Total Pages : 148 pages
Book Rating : 4.4/5 (91 download)

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Book Synopsis Multirobot Systems by : Rajiv Mehrotra

Download or read book Multirobot Systems written by Rajiv Mehrotra and published by . This book was released on 1990 with total page 148 pages. Available in PDF, EPUB and Kindle. Book excerpt: A collection of reprints on coordination of multiple robots with a common workspace, and control strategies in coordinated multiple-robot systems. No index. Acidic paper. Annotation copyright Book News, Inc. Portland, Or.

Shaping the Future of Automation With Cloud-Enhanced Robotics

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Publisher : IGI Global
ISBN 13 :
Total Pages : 457 pages
Book Rating : 4.3/5 (693 download)

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Book Synopsis Shaping the Future of Automation With Cloud-Enhanced Robotics by : Gatti, Rathishchandra Ramachandra

Download or read book Shaping the Future of Automation With Cloud-Enhanced Robotics written by Gatti, Rathishchandra Ramachandra and published by IGI Global. This book was released on 2024-04-26 with total page 457 pages. Available in PDF, EPUB and Kindle. Book excerpt: In a world where automation is quickly becoming a standard, a significant challenge arises – the need for robots to overcome their inherent limitations in processing power and storage. This bottleneck restricts their potential for innovation and collaboration, hindering the realization of true autonomous capabilities. The burgeoning field of Cloud Robotics promises a revolutionary solution by seamlessly integrating robots with cloud-based technologies. This integration empowers robots to offload computation tasks, tap into vast data resources, and engage in real-time collaboration with their mechanical counterparts. Existing literature often falls short of providing a holistic understanding of the complex interplay between robotics and cloud computing. Researchers, academics, and industry professionals find themselves grappling with fragmented insights, hindering their ability to harness the full potential of cloud-enhanced robotics. The lack of a centralized resource leaves a void, impeding progress and innovation in this groundbreaking field. Without a roadmap to navigate the challenges and opportunities presented by cloud robotics, stakeholders risk being left behind in an era where interdisciplinary collaboration is paramount. Enter Shaping the Future of Automation With Cloud-Enhanced Robotics, a beacon of knowledge designed specifically for academics, researchers, and industry professionals seeking to unlock the transformative power of cloud robotics. From fundamental principles to advanced applications, each chapter meticulously unravels the intricacies of cloud infrastructure, communication protocols, data management, human-robot interaction, and more. By addressing challenges and proposing solutions, this book not only disseminates recent advancements but also equips readers with actionable insights. Real-world examples and case studies illuminate the practical applications and benefits of cloud-enhanced robotics, making it an indispensable guide for professionals aiming to implement these innovations in their operations.

Methodologies, Frameworks, and Applications of Machine Learning

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Publisher : IGI Global
ISBN 13 :
Total Pages : 315 pages
Book Rating : 4.3/5 (693 download)

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Book Synopsis Methodologies, Frameworks, and Applications of Machine Learning by : Srivastava, Pramod Kumar

Download or read book Methodologies, Frameworks, and Applications of Machine Learning written by Srivastava, Pramod Kumar and published by IGI Global. This book was released on 2024-03-22 with total page 315 pages. Available in PDF, EPUB and Kindle. Book excerpt: Technology is constantly evolving, and machine learning is positioned to become a pivotal tool with the power to transform industries and revolutionize everyday life. This book underscores the urgency of leveraging the latest machine learning methodologies and theoretical advancements, all while harnessing a wealth of realistic data and affordable computational resources. Machine learning is no longer confined to theoretical domains; it is now a vital component in healthcare, manufacturing, education, finance, law enforcement, and marketing, ushering in an era of data-driven decision-making. Academic scholars seeking to unlock the potential of machine learning in the context of Industry 5.0 and advanced IoT applications will find that the groundbreaking book, Methodologies, Frameworks, and Applications of Machine Learning, introduces an unmissable opportunity to delve into the forefront of modern research and application. This book offers a wealth of knowledge and practical insights across a wide array of topics, ranging from conceptual frameworks and methodological approaches to the application of probability theory, statistical techniques, and machine learning in domains as diverse as e-government, healthcare, cyber-physical systems, and sustainable development, this comprehensive guide equips you with the tools to navigate the complexities of Industry 5.0 and the Internet of Things (IoT).

Driving Transformative Technology Trends With Cloud Computing

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Publisher : IGI Global
ISBN 13 :
Total Pages : 437 pages
Book Rating : 4.3/5 (693 download)

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Book Synopsis Driving Transformative Technology Trends With Cloud Computing by : Gochhait, Saikat

Download or read book Driving Transformative Technology Trends With Cloud Computing written by Gochhait, Saikat and published by IGI Global. This book was released on 2024-08-08 with total page 437 pages. Available in PDF, EPUB and Kindle. Book excerpt: Modern businesses face a pressing challenge in navigating the complex landscape of cloud computing, 5G, and artificial intelligence (AI) integration. Despite these technologies' transformative potential, businesses often need help with bandwidth, latency, connection density, and cost constraints. This hinders the widespread adoption of cloud computing, limiting its impact on various industries. Driving Transformative Technology Trends With Cloud Computing offers a comprehensive solution for academic scholars seeking to understand and leverage the potential of cloud computing, 5G, and AI integration. By exploring topics such as green cloud computing, edge computing, cloud cryptography, and more, scholars can gain valuable insights into the synergistic effects of these technologies. This book provides a roadmap for leveraging the power of cloud computing and its integration with 5G and AI to drive innovation and growth in academia and beyond. By offering practical insights and strategies, this book equips scholars with the knowledge and tools needed to navigate the complexities of modern technology integration and drive meaningful change in their respective fields.

Industrial Internet of Things Security

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Publisher : CRC Press
ISBN 13 : 1040146759
Total Pages : 247 pages
Book Rating : 4.0/5 (41 download)

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Book Synopsis Industrial Internet of Things Security by : Sunil Kumar Chawla

Download or read book Industrial Internet of Things Security written by Sunil Kumar Chawla and published by CRC Press. This book was released on 2024-10-28 with total page 247 pages. Available in PDF, EPUB and Kindle. Book excerpt: The industrial landscape is changing rapidly, and so is global society. This change is driven by the growing adoption of the Industrial Internet of Things (IIoT) and artificial intelligence (AI) technologies. IIoT and AI are transforming the way industrial engineering is done, enabling new levels of automation, productivity, and efficiency. However, as IIoT and AI become more pervasive in the industrial world, they also offer new security risks that must be addressed to ensure the reliability and safety of critical systems. Industrial Internet of Things Security: Protecting AI-Enabled Engineering Systems in Cloud and Edge Environments provides a comprehensive guide to IIoT security, covering topics such as network architecture, risk management, data security, and compliance. It addresses the unique security challenges that the cloud and edge environments pose, providing practical guidance for securing IIoT networks in these contexts. It includes numerous real-world case studies and examples, providing readers with practical insights into how IIoT security and AI-enabled industrial engineering are being implemented in various industries. Best practices are emphasized for the readers to ensure the reliability, safety, and security of their systems while also learning the latest developments in IIoT security for AI-enabled industrial engineering systems in this rapidly evolving field. By offering step-by-step guidance for the implantation process along with best practices, this book becomes a valuable resource for practitioners and engineers in the areas of industrial engineering, IT, computer engineering, and anyone looking to secure their IIoT network against cyber threats.

Strategic Innovations of AI and ML for E-Commerce Data Security

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Publisher : IGI Global
ISBN 13 :
Total Pages : 498 pages
Book Rating : 4.3/5 (693 download)

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Book Synopsis Strategic Innovations of AI and ML for E-Commerce Data Security by : Kaur, Gaganpreet

Download or read book Strategic Innovations of AI and ML for E-Commerce Data Security written by Kaur, Gaganpreet and published by IGI Global. This book was released on 2024-09-13 with total page 498 pages. Available in PDF, EPUB and Kindle. Book excerpt: As e-commerce continues to increase in usage and popularity, safeguarding consumers private data becomes critical. Strategic innovations in artificial intelligence and machine learning revolutionize data security by offering advanced tools for threat detection and mitigation. Integrating AI and machine learning into their security solutions will allow businesses to build customer trust and maintain a competitive edge throughout the growing digital landscapes. A thorough examination of cutting-edge innovations in e-commerce data security may ensure security measures keep up with current technological advancements in the industry. Strategic Innovations of AI and ML for E-Commerce Data Security explores practical applications in data security, algorithms, and modelling. It examines solutions for securing e-commerce data, utilizing AI and machine learning for modelling techniques, and navigating complex algorithms. This book covers topics such as data science, threat detection, and cybersecurity, and is a useful resource for computer engineers, data scientists, business owners, academicians, scientists, and researchers.

Advanced Machine Learning, AI, and Cybersecurity in Web3: Theoretical Knowledge and Practical Application

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Publisher : IGI Global
ISBN 13 : 1668486881
Total Pages : 354 pages
Book Rating : 4.6/5 (684 download)

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Book Synopsis Advanced Machine Learning, AI, and Cybersecurity in Web3: Theoretical Knowledge and Practical Application by : Bouarara, Hadj Ahmed

Download or read book Advanced Machine Learning, AI, and Cybersecurity in Web3: Theoretical Knowledge and Practical Application written by Bouarara, Hadj Ahmed and published by IGI Global. This book was released on 2024-08-23 with total page 354 pages. Available in PDF, EPUB and Kindle. Book excerpt: In the evolving landscape of Web3, the use of advanced machine learning, artificial intelligence, and cybersecurity transforms industries through theoretical exploration and practical application. The integration of advanced machine learning and AI techniques promises enhanced security protocols, predictive analytics, and adaptive defenses against the increasing number of cyber threats. However, these technological improvements also raise questions regarding privacy, transparency, and the ethical implications of AI-driven security measures. Advanced Machine Learning, AI, and Cybersecurity in Web3: Theoretical Knowledge and Practical Application explores theories and applications of improved technological techniques in Web 3.0. It addresses the challenges inherent to decentralization while harnessing the benefits offered by advances, thereby paving the way for a safer and more advanced digital era. Covering topics such as fraud detection, cryptocurrency, and data management, this book is a useful resource for computer engineers, financial institutions, security and IT professionals, business owners, researchers, scientists, and academicians.