Enhancing Security In Public Spaces Through Generative Adversarial Networks Gans
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Enhancing Security In Public Spaces Through Generative Adversarial Networks Gans
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Author : Sivaram Ponnusamy
language : en
Publisher:
Release Date : 2024
Enhancing Security In Public Spaces Through Generative Adversarial Networks Gans written by Sivaram Ponnusamy and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 2024 with Computer networks categories.
"This book delves into the fascinating realm of GANs, a groundbreaking area of machine learning that has transformative implications for data security and privacy in public domains. It explores GANs' applications across various sectors such as cybersecurity, privacy-preserving data sharing, healthcare, retail, education, finance, and more"--
Enhancing Security In Public Spaces Through Generative Adversarial Networks Gans
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Author : Ponnusamy, Sivaram
language : en
Publisher: IGI Global
Release Date : 2024-05-16
Enhancing Security In Public Spaces Through Generative Adversarial Networks Gans written by Ponnusamy, Sivaram and has been published by IGI Global this book supported file pdf, txt, epub, kindle and other format this book has been release on 2024-05-16 with Computers categories.
As the demand for data security intensifies, the vulnerabilities become glaring, exposing sensitive information to potential threats. In this tumultuous landscape, Generative Adversarial Networks (GANs) emerge as a groundbreaking solution, transcending their initial role as image generators to become indispensable guardians of data security. Within the pages of Enhancing Security in Public Spaces Through Generative Adversarial Networks (GANs), readers are guided through the intricate world of GANs, unraveling their unique design and dynamic adversarial training. The book presents GANs not merely as a technical marvel but as a strategic asset for organizations, offering a comprehensive solution to fortify cybersecurity, protect data privacy, and mitigate the risks associated with evolving cyber threats. It navigates the ethical considerations surrounding GANs, emphasizing the delicate balance between technological advancement and responsible use.
Generative Artificial Intelligence Ai Approaches For Industrial Applications
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Author : Narasimha Rao Vajjhala
language : en
Publisher: Springer Nature
Release Date : 2025-02-03
Generative Artificial Intelligence Ai Approaches For Industrial Applications written by Narasimha Rao Vajjhala and has been published by Springer Nature this book supported file pdf, txt, epub, kindle and other format this book has been release on 2025-02-03 with Computers categories.
"Generative Artificial Intelligence (AI) Approaches for Industrial Applications" explores the transformative potential of Generative AI technologies across various industries. With contributions from international scholars and experts, this book provides a comprehensive overview of the latest trends, mathematical foundations, and practical applications of Generative AI models. Key sections examine the fundamental concepts of Generative AI, including Generative Adversarial Networks (GANs) and their ethical and security considerations. Special attention is given to the revolutionary impact of Generative AI in healthcare technologies, clinical decision-making, and predictive maintenance within the manufacturing sector. Additionally, the role of Generative AI in FinTech, particularly in redefining business models and enhancing digital security, is thoroughly examined. This book features cutting-edge research on text summarization, age progression using GANs, and integrating AI with regulatory practices. This book is a vital resource for academics, professionals, and practitioners bridging the gap between theoretical AI frameworks and their real-world industrial applications, offering insights into how Generative AI is shaping the future of industries worldwide.
Revolutionizing Education With Remote Experimentation And Learning Analytics
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Author : Ponnusamy, Sivaram
language : en
Publisher: IGI Global
Release Date : 2025-03-28
Revolutionizing Education With Remote Experimentation And Learning Analytics written by Ponnusamy, Sivaram and has been published by IGI Global this book supported file pdf, txt, epub, kindle and other format this book has been release on 2025-03-28 with Education categories.
Education is undergoing critical transformations driven by innovations in remote experimentation and learning analytics. As technology reshapes how we teach and learn, remote experimentation allows students to conduct hands-on, interactive experiments from anywhere in the world, breaking down geographical and resource-based barriers. This shift enhances access to advanced learning opportunities while fostering engagement and practical understanding in fields traditionally reliant on in-person labs. Learning analytics harness the power of data to track student progress, personalize learning experiences, and identify areas for improvement in real time. Together, these tools revolutionize education by providing more flexible, inclusive, and data-driven approaches that can adapt to individual learning needs, paving the way for an effective and accessible global education system. Revolutionizing Education With Remote Experimentation and Learning Analytics explores how digital technology may change how schools work. It examines learning analytics and remote experimentation for improved education, while delving into the most recent findings and cutting-edge approaches. This book covers topics such as data analysis, higher education, and student engagement, and is a useful resource for educators, academicians, researchers, data scientists, computer engineers, and sociologists.
Leveraging Vanets And Blockchain Technology For Urban Mobility
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Author : Ponnusamy, Sivaram
language : en
Publisher: IGI Global
Release Date : 2025-04-24
Leveraging Vanets And Blockchain Technology For Urban Mobility written by Ponnusamy, Sivaram and has been published by IGI Global this book supported file pdf, txt, epub, kindle and other format this book has been release on 2025-04-24 with Technology & Engineering categories.
The integration of Vehicular Ad-hoc Networks (VANETs) with blockchain technology emerges as a transformative approach to enhancing urban mobility, offering new solutions to the challenges of traffic management, vehicle safety, and data security in smart cities. VANETs enable real-time communication between vehicles and infrastructure, creating a dynamic network to optimize traffic flow, reduce congestion, and improve safety by enabling autonomous vehicle interaction and instant data exchange. When combined with blockchain technology, this network gains a layer of decentralization and security, ensuring data shared between vehicles, traffic signals, and other urban systems remains tamper-proof and transparent. Blockchain also facilitates secure and efficient transactions, like toll payments or car-sharing services, and maintains a record of vehicle data, including maintenance history or driving patterns, offering new opportunities for vehicle lifecycle management, insurance claims, and regulatory compliance. Together, VANETs and blockchain could revolutionize urban mobility by creating a more efficient, secure, and sustainable transportation ecosystem, driving the development of smarter, safer cities. Leveraging VANETs and Blockchain Technology for Urban Mobility explores the capabilities of VANET and blockchain technology to create a new intelligent urban transportation architecture. It examines how transportation and infrastructure engineers can create secure, efficient, and safe urban mobility. This book covers topics such as smart cities, sustainability, and waste management, and is a useful resource for civil and mechanical engineers, urban developers, business owners, academicians, researchers, and data scientists.
Generative Adversarial Networks For Remote Sensing
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Author : Vibhute, Amol Dattatraya
language : en
Publisher: IGI Global
Release Date : 2025-04-30
Generative Adversarial Networks For Remote Sensing written by Vibhute, Amol Dattatraya and has been published by IGI Global this book supported file pdf, txt, epub, kindle and other format this book has been release on 2025-04-30 with Technology & Engineering categories.
Generative adversarial networks (GANs) are transforming the way complex remote sensing data is analyzed, offering innovative solutions for geospatial applications. Traditional methods often struggle to process high-dimensional remotely sensed datasets, leading to limitations in decision-making and predictive accuracy. By leveraging GANs, researchers can enhance feature extraction, object detection, and time-series analysis, enabling more precise environmental monitoring, urban planning, and agricultural assessments. This technological advancement not only improves real-time geospatial analysis but also opens new avenues for interdisciplinary collaboration, ethical considerations, and security challenges in AI-driven remote sensing. As GANs continue to evolve, their application in remote sensing holds the potential to drive sustainability and more informed global decision-making. Generative Adversarial Networks for Remote Sensing emphasizes the foundations of recent trends in GANs and remote sensing applications. It provides insights into the fundamentals of generative adversarial networks, historical advancements, novel GAN architectures and challenges in analyzing remote sensing data using GANs. Covering topics such as change detection, resource management, and feature engineering, this book is an excellent resource for geographers, geospatial data analysts, engineers, professionals, researchers, scholars, academicians, and more.
Enhancing Steganography Through Deep Learning Approaches
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Author : Kumar, Vijay
language : en
Publisher: IGI Global
Release Date : 2024-11-04
Enhancing Steganography Through Deep Learning Approaches written by Kumar, Vijay and has been published by IGI Global this book supported file pdf, txt, epub, kindle and other format this book has been release on 2024-11-04 with Computers categories.
In an era defined by digital connectivity, securing sensitive information against cyber threats is a pressing concern. As digital transmission systems advance, so do the methods of intrusion and data theft. Traditional security measures often need to catch up in safeguarding against sophisticated cyber-attacks. This book presents a timely solution by integrating steganography, the ancient art of concealing information, with cutting-edge deep learning techniques. By blending these two technologies, the book offers a comprehensive approach to fortifying the security of digital communication channels. Enhancing Steganography Through Deep Learning Approaches addresses critical issues in national information security, business and personal privacy, property security, counterterrorism, and internet security. It thoroughly explores steganography's application in bolstering security across various domains. Readers will gain insights into the fusion of deep learning and steganography for advanced encryption and data protection, along with innovative steganographic techniques for securing physical and intellectual property. The book also delves into real-world examples of thwarting malicious activities using deep learning-enhanced steganography. This book is tailored for academics and researchers in Artificial Intelligence, postgraduate students seeking in-depth knowledge in AI and deep learning, smart computing practitioners, data analysis professionals, and security sector professionals.
Deep Generative Models For Integrative Analysis Of Alzheimer S Biomarkers
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Author : Kumar, Abhishek
language : en
Publisher: IGI Global
Release Date : 2024-11-01
Deep Generative Models For Integrative Analysis Of Alzheimer S Biomarkers written by Kumar, Abhishek and has been published by IGI Global this book supported file pdf, txt, epub, kindle and other format this book has been release on 2024-11-01 with Medical categories.
The integration of generative AI and deep learning techniques for Alzheimer's disease detection significantly impacts the research community by advancing diagnostic accuracy and providing a comprehensive understanding of the disease. By combining multiple data modalities, including imaging, genetics, and clinical data, researchers can improve diagnostic precision and develop personalized treatment strategies. Generative AI facilitates efficient data utilization through dataset augmentation, fostering innovation and collaboration across interdisciplinary fields. These methodologies forward the exploration of new diagnostic tools while expediting their application in clinical practice, benefiting patients through early detection and intervention. The incorporation of generative AI may enhance research capabilities, promote collaboration, and improve Alzheimer's disease management and patient outcomes. Deep Generative Models for Integrative Analysis of Alzheimer's Biomarkers explores the integration of deep generative models in disease diagnosis, biomarking, and prediction. It examines the use of tools like data analysis, natural language processing, and machine learning for effective Alzheimer’s research. This book covers topics such as data analysis, biomedicine, and machine learning, and is a useful resource for computer engineers, biologists, scientists, medical professionals, healthcare workers, academicians, and researchers.
Redefining Security With Cyber Ai
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Author : Omar, Marwan
language : en
Publisher: IGI Global
Release Date : 2024-07-17
Redefining Security With Cyber Ai written by Omar, Marwan and has been published by IGI Global this book supported file pdf, txt, epub, kindle and other format this book has been release on 2024-07-17 with Computers categories.
In the rapidly evolving digital landscape, the importance of cybersecurity has never been more critical. With the increasing sophistication of cyber threats, traditional security measures often fall short in providing adequate protection. Cyber artificial intelligence (AI) offers advanced capabilities to detect, prevent, and respond to attacks in real time. As cyber threats continue to grow in complexity and frequency, the integration of AI into cybersecurity frameworks is not just advantageous but essential for maintaining robust and resilient defenses. Redefining Security With Cyber AI delves into the profound transformation of security paradigms brought about by the advent of AI. This book explores the intricate dance between the ever-expanding frontiers of digital technology and the AI-driven mechanisms that aim to safeguard them. Covering topics such as artificial neural networks, intrusion detection, and large language models, this book is an excellent resource for cybersecurity professionals, AI and machine learning researchers, IT executives and managers, policy makers and regulators, postgraduate students and educators, academicians, and more.
Smart Technologies And Innovations In E Business
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Author : Popkova, Elena G.
language : en
Publisher: IGI Global
Release Date : 2024-07-17
Smart Technologies And Innovations In E Business written by Popkova, Elena G. and has been published by IGI Global this book supported file pdf, txt, epub, kindle and other format this book has been release on 2024-07-17 with Computers categories.
Under the conditions of the Fifth Industrial Revolution, there appears e-business 5.0, a new model of entrepreneurship in which humans and artificial intelligence (AI) are not opposed but systematically combined and effectively used. Because the core of e-business 5.0 is intelligent systems, the most important role in its development belongs to the management of technologies and innovations. Smart technologies may supplement or replace human resources in business processes, which involves various options of their combination and distribution of labor. This complicates things and requires a new approach to management in e-business 5.0. Smart Technologies and Innovations in E-Business is devoted to comprehensive research of e-business 5.0. This book discusses the systematization of international experience, determination of prospects, and development of recommendations for the improvement of the management of smart technologies and innovations in e-business 5.0. Covering topics such as big data, entrepreneurial development and dynamics, and mobile payment systems, this book is an essential resource for entrepreneurs, business executives and managers, e-commerce professionals, digital marketing experts, technology developers and engineers, academicians and researchers, policy makers and regulators, postgraduate educators and students, and more.