El Latif Ahmed Abd Hammad Mohamed (32 results)

hardcover. Condition: Fine.

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Hardcover. Condition: new. Hardcover. In todays interconnected world, healthcare systems are increasingly turning to digital technologies to enhance patient care and optimize operations. However, this digital transformation presents significant challenges in guaranteeing the security and privacy of sensitive healthcare data. Secure Health: A Guide to Cybersecurity for Healthcare Managers confronts these challenges head-on, offering a comprehensive exploration of the latest advancements and best practices in securing digital health systems.From examining the convergence of Internet of Things (IoT) applications with healthcare privacy and security to investigating ethical hacking frameworks and biometric access management, each chapter delves into valuable insights for safeguarding healthcare data in an ever-more digitized landscape. What sets this book apart is its holistic perspective, encompassing not only technical aspects but also governance standards, the unique cybersecurity challenges of telehealth, and the optimization of healthcare supply chain management.KEY FEATURES:Explores the integration of IoT devices into healthcare and the associated privacy and security risksExamines security frameworks and best practices for e-health information governanceIntroduces a novel framework for ethical hacking in digital healthAnalyzes the effectiveness of different artificial intelligence (AI) models for botnet traffic classificationDelves into the unique challenges of securing telehealth and remote monitoring systemsOffers practical guidance on securing the future of e-health through smart sensor network management "Secure Health confronts these challenges head-on, offering a comprehensive exploration of the latest advancements and best practices in securing digital health systems. Shipping may be from multiple locations in the US or from the UK, depending on stock availability.

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Hardcover. Condition: new. Hardcover. In todays interconnected world, healthcare systems are increasingly turning to digital technologies to enhance patient care and optimize operations. However, this digital transformation presents significant challenges in guaranteeing the security and privacy of sensitive healthcare data. Secure Health: A Guide to Cybersecurity for Healthcare Managers confronts these challenges head-on, offering a comprehensive exploration of the latest advancements and best practices in securing digital health systems.From examining the convergence of Internet of Things (IoT) applications with healthcare privacy and security to investigating ethical hacking frameworks and biometric access management, each chapter delves into valuable insights for safeguarding healthcare data in an ever-more digitized landscape. What sets this book apart is its holistic perspective, encompassing not only technical aspects but also governance standards, the unique cybersecurity challenges of telehealth, and the optimization of healthcare supply chain management.KEY FEATURES:Explores the integration of IoT devices into healthcare and the associated privacy and security risksExamines security frameworks and best practices for e-health information governanceIntroduces a novel framework for ethical hacking in digital healthAnalyzes the effectiveness of different artificial intelligence (AI) models for botnet traffic classificationDelves into the unique challenges of securing telehealth and remote monitoring systemsOffers practical guidance on securing the future of e-health through smart sensor network management "Secure Health confronts these challenges head-on, offering a comprehensive exploration of the latest advancements and best practices in securing digital health systems. Shipping may be from our Sydney, NSW warehouse or from our UK or US warehouse, depending on stock availability.

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Paperback. Condition: new. Paperback. Embark on an exploration of the challenges posed by the convergence of artificial intelligence (AI) and multimedia data processing. In the landscape of technology, the relationship between AI and multimedia unfolds with unprecedented innovation, accompanied by formidable ethical concerns and data management complexities. As society immerses itself in the digital age, marked by a flood of multimedia content, the urgent need to grapple with these multifaceted issues becomes apparent. This transformative journey into the heart of contemporary technological challenges is guided by the insights within. The book, AI Techniques for Multimedia Data Processing , serves as an indispensable resource, unraveling the layers of complexity within the symbiotic relationship between AI and multimedia. Within the pages of AI Techniques for Multimedia Data Processing , readers will find a comprehensive exploration that goes beyond theoretical discussions, delving into the practical applications and implications of AI in multimedia processing. This transformative journey navigates the terrain where ethical concerns meet practical applications, providing a profound understanding of how AI reshapes our interaction with multimedia content. As the chapters unfold, addressing challenges from video compression and streaming to multimedia recognition, segmentation, and content classification, readers are equipped with the knowledge needed to responsibly harness the transformative potential of AI in the realm of multimedia data processing. As readers delve deeper into AI Techniques for Multimedia Data Processing , its exploration expands to the realm of AI's impact on medical analysis, shedding light on the convergence of AI and deep learning in medical disease analysis. The book charts new territory in addressing the pressing issues of privacy and security within the context of multimedia, providing insights into safeguarding sensitive information. Beyond theoretical discussions, practical applications unfold, unraveling the mysteries of multimedia forensics, exploring search and retrieval techniques, and delving into the realms of multimedia editing, enhancement, gaming, entertainment, and healthcare applications. Each chapter serves as a gateway to a specific facet of the AI and multimedia relationship, offering diverse perspectives for readers ranging from novices seeking foundational knowledge to seasoned practitioners eager to apply AI in their multimedia endeavors. Shipping may be from our UK warehouse or from our Australian or US warehouses, depending on stock availability.

Hardcover. Condition: new. Hardcover. In todays interconnected world, healthcare systems are increasingly turning to digital technologies to enhance patient care and optimize operations. However, this digital transformation presents significant challenges in guaranteeing the security and privacy of sensitive healthcare data. Secure Health: A Guide to Cybersecurity for Healthcare Managers confronts these challenges head-on, offering a comprehensive exploration of the latest advancements and best practices in securing digital health systems.From examining the convergence of Internet of Things (IoT) applications with healthcare privacy and security to investigating ethical hacking frameworks and biometric access management, each chapter delves into valuable insights for safeguarding healthcare data in an ever-more digitized landscape. What sets this book apart is its holistic perspective, encompassing not only technical aspects but also governance standards, the unique cybersecurity challenges of telehealth, and the optimization of healthcare supply chain management.KEY FEATURES:Explores the integration of IoT devices into healthcare and the associated privacy and security risksExamines security frameworks and best practices for e-health information governanceIntroduces a novel framework for ethical hacking in digital healthAnalyzes the effectiveness of different artificial intelligence (AI) models for botnet traffic classificationDelves into the unique challenges of securing telehealth and remote monitoring systemsOffers practical guidance on securing the future of e-health through smart sensor network management "Secure Health confronts these challenges head-on, offering a comprehensive exploration of the latest advancements and best practices in securing digital health systems. Shipping may be from our UK warehouse or from our Australian or US warehouses, depending on stock availability.

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Hardcover. Condition: Brand New. 288 pages. 9.18x6.12x9.21 inches. In Stock.

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Hardcover. Condition: new. Hardcover. Embark on an exploration of the challenges posed by the convergence of artificial intelligence (AI) and multimedia data processing. In the landscape of technology, the relationship between AI and multimedia unfolds with unprecedented innovation, accompanied by formidable ethical concerns and data management complexities. As society immerses itself in the digital age, marked by a flood of multimedia content, the urgent need to grapple with these multifaceted issues becomes apparent. This transformative journey into the heart of contemporary technological challenges is guided by the insights within. The book, AI Techniques for Multimedia Data Processing, serves as an indispensable resource, unraveling the layers of complexity within the symbiotic relationship between AI and multimedia. Within the pages of AI Techniques for Multimedia Data Processing, readers will find a comprehensive exploration that goes beyond theoretical discussions, delving into the practical applications and implications of AI in multimedia processing. This transformative journey navigates the terrain where ethical concerns meet practical applications, providing a profound understanding of how AI reshapes our interaction with multimedia content. As the chapters unfold, addressing challenges from video compression and streaming to multimedia recognition, segmentation, and content classification, readers are equipped with the knowledge needed to responsibly harness the transformative potential of AI in the realm of multimedia data processing. As readers delve deeper into AI Techniques for Multimedia Data Processing, its exploration expands to the realm of AI's impact on medical analysis, shedding light on the convergence of AI and deep learning in medical disease analysis. The book charts new territory in addressing the pressing issues of privacy and security within the context of multimedia, providing insights into safeguarding sensitive information. Beyond theoretical discussions, practical applications unfold, unraveling the mysteries of multimedia forensics, exploring search and retrieval techniques, and delving into the realms of multimedia editing, enhancement, gaming, entertainment, and healthcare applications. Each chapter serves as a gateway to a specific facet of the AI and multimedia relationship, offering diverse perspectives for readers ranging from novices seeking foundational knowledge to seasoned practitioners eager to apply AI in their multimedia endeavors. Embark on an exploration of the challenges posed by the convergence of artificial intelligence (AI) and multimedia data processing. Readers will find a comprehensive exploration that goes beyond theoretical discussions, delving into the practical applications and implications of AI in multimedia processing. Shipping may be from multiple locations in the US or from the UK, depending on stock availability.

Hardcover. Condition: new. Hardcover. Embark on an exploration of the challenges posed by the convergence of artificial intelligence (AI) and multimedia data processing. In the landscape of technology, the relationship between AI and multimedia unfolds with unprecedented innovation, accompanied by formidable ethical concerns and data management complexities. As society immerses itself in the digital age, marked by a flood of multimedia content, the urgent need to grapple with these multifaceted issues becomes apparent. This transformative journey into the heart of contemporary technological challenges is guided by the insights within. The book, AI Techniques for Multimedia Data Processing, serves as an indispensable resource, unraveling the layers of complexity within the symbiotic relationship between AI and multimedia. Within the pages of AI Techniques for Multimedia Data Processing, readers will find a comprehensive exploration that goes beyond theoretical discussions, delving into the practical applications and implications of AI in multimedia processing. This transformative journey navigates the terrain where ethical concerns meet practical applications, providing a profound understanding of how AI reshapes our interaction with multimedia content. As the chapters unfold, addressing challenges from video compression and streaming to multimedia recognition, segmentation, and content classification, readers are equipped with the knowledge needed to responsibly harness the transformative potential of AI in the realm of multimedia data processing. As readers delve deeper into AI Techniques for Multimedia Data Processing, its exploration expands to the realm of AI's impact on medical analysis, shedding light on the convergence of AI and deep learning in medical disease analysis. The book charts new territory in addressing the pressing issues of privacy and security within the context of multimedia, providing insights into safeguarding sensitive information. Beyond theoretical discussions, practical applications unfold, unraveling the mysteries of multimedia forensics, exploring search and retrieval techniques, and delving into the realms of multimedia editing, enhancement, gaming, entertainment, and healthcare applications. Each chapter serves as a gateway to a specific facet of the AI and multimedia relationship, offering diverse perspectives for readers ranging from novices seeking foundational knowledge to seasoned practitioners eager to apply AI in their multimedia endeavors. Embark on an exploration of the challenges posed by the convergence of artificial intelligence (AI) and multimedia data processing. Readers will find a comprehensive exploration that goes beyond theoretical discussions, delving into the practical applications and implications of AI in multimedia processing. Shipping may be from our UK warehouse or from our Australian or US warehouses, depending on stock availability.

Paperback. Condition: new. Paperback. Embark on an exploration of the challenges posed by the convergence of artificial intelligence (AI) and multimedia data processing. In the landscape of technology, the relationship between AI and multimedia unfolds with unprecedented innovation, accompanied by formidable ethical concerns and data management complexities. As society immerses itself in the digital age, marked by a flood of multimedia content, the urgent need to grapple with these multifaceted issues becomes apparent. This transformative journey into the heart of contemporary technological challenges is guided by the insights within. The book, AI Techniques for Multimedia Data Processing , serves as an indispensable resource, unraveling the layers of complexity within the symbiotic relationship between AI and multimedia. Within the pages of AI Techniques for Multimedia Data Processing , readers will find a comprehensive exploration that goes beyond theoretical discussions, delving into the practical applications and implications of AI in multimedia processing. This transformative journey navigates the terrain where ethical concerns meet practical applications, providing a profound understanding of how AI reshapes our interaction with multimedia content. As the chapters unfold, addressing challenges from video compression and streaming to multimedia recognition, segmentation, and content classification, readers are equipped with the knowledge needed to responsibly harness the transformative potential of AI in the realm of multimedia data processing. As readers delve deeper into AI Techniques for Multimedia Data Processing , its exploration expands to the realm of AI's impact on medical analysis, shedding light on the convergence of AI and deep learning in medical disease analysis. The book charts new territory in addressing the pressing issues of privacy and security within the context of multimedia, providing insights into safeguarding sensitive information. Beyond theoretical discussions, practical applications unfold, unraveling the mysteries of multimedia forensics, exploring search and retrieval techniques, and delving into the realms of multimedia editing, enhancement, gaming, entertainment, and healthcare applications. Each chapter serves as a gateway to a specific facet of the AI and multimedia relationship, offering diverse perspectives for readers ranging from novices seeking foundational knowledge to seasoned practitioners eager to apply AI in their multimedia endeavors. Shipping may be from our Sydney, NSW warehouse or from our UK or US warehouse, depending on stock availability.

Hardcover. Condition: new. Hardcover. Embark on an exploration of the challenges posed by the convergence of artificial intelligence (AI) and multimedia data processing. In the landscape of technology, the relationship between AI and multimedia unfolds with unprecedented innovation, accompanied by formidable ethical concerns and data management complexities. As society immerses itself in the digital age, marked by a flood of multimedia content, the urgent need to grapple with these multifaceted issues becomes apparent. This transformative journey into the heart of contemporary technological challenges is guided by the insights within. The book, AI Techniques for Multimedia Data Processing, serves as an indispensable resource, unraveling the layers of complexity within the symbiotic relationship between AI and multimedia. Within the pages of AI Techniques for Multimedia Data Processing, readers will find a comprehensive exploration that goes beyond theoretical discussions, delving into the practical applications and implications of AI in multimedia processing. This transformative journey navigates the terrain where ethical concerns meet practical applications, providing a profound understanding of how AI reshapes our interaction with multimedia content. As the chapters unfold, addressing challenges from video compression and streaming to multimedia recognition, segmentation, and content classification, readers are equipped with the knowledge needed to responsibly harness the transformative potential of AI in the realm of multimedia data processing. As readers delve deeper into AI Techniques for Multimedia Data Processing, its exploration expands to the realm of AI's impact on medical analysis, shedding light on the convergence of AI and deep learning in medical disease analysis. The book charts new territory in addressing the pressing issues of privacy and security within the context of multimedia, providing insights into safeguarding sensitive information. Beyond theoretical discussions, practical applications unfold, unraveling the mysteries of multimedia forensics, exploring search and retrieval techniques, and delving into the realms of multimedia editing, enhancement, gaming, entertainment, and healthcare applications. Each chapter serves as a gateway to a specific facet of the AI and multimedia relationship, offering diverse perspectives for readers ranging from novices seeking foundational knowledge to seasoned practitioners eager to apply AI in their multimedia endeavors. Embark on an exploration of the challenges posed by the convergence of artificial intelligence (AI) and multimedia data processing. Readers will find a comprehensive exploration that goes beyond theoretical discussions, delving into the practical applications and implications of AI in multimedia processing. Shipping may be from our Sydney, NSW warehouse or from our UK or US warehouse, depending on stock availability.