Mohamed Amnai (29 results)

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Taschenbuch. Condition: Neu. nach der Bestellung gedruckt Neuware - Printed after ordering - This book focuses on performance analysis of two routing protocols belonging to the basic categories (reactive, proactive) in mobile ad hoc networks. The book analyses the network performance over real-time variable bit rate traffic based on OLSR and AODV protocols belonging to basic categories reactive and proactive. Moreover, the book is about the impact of various mobility models on routing protocols described previously. Thereafter, it contributes in making choices of models and parameters to support real-time communications. Finally, we suggest a novel approach through Fuzzy logic to analyse and caculate the optimal delay and optimal throughput.

PAP. Condition: New. New Book. Shipped from UK. THIS BOOK IS PRINTED ON DEMAND. Established seller since 2000.

PAP. Condition: New. New Book. Shipped from UK. THIS BOOK IS PRINTED ON DEMAND. Established seller since 2000.

Paperback. Condition: new. Paperback. Generative AI rapidly transforms data architectures, reshaping how organizations govern, manage, and analyze data. As organizations face growing demands for real-time insights, scalability, and compliance, traditional data systems struggle to keep pace. Generative AI-powered data architectures offer a shift, enabling intelligent data governance, automated management, and analytics that evolve autonomously. These architectures streamline complex data operations while enhancing decision-making through proactive, AI-driven insights. Further exploration of these infrastructures may reveal more adaptive, explainable, and capable data to support new innovations in enterprise analytics. Generative AI-Powered Data Architectures: From Governance to Autonomous Analytics explores how generative AI can be effectively integrated with modern data architectures to build scalable, secure, and intelligent systems. It addresses the entire data lifecycle from governance and ingestion to transformation, storage, and autonomous analytics empowering organizations to leverage AI-driven processes. This book covers topics such as data analytics, learning systems, and ethics and law, and is a useful resource for engineers, educators, business owners, academicians, researchers, and data scientists. "This book aims to bridge the gap between data architecture and AI advancements by exploring how generative technologies can influence data modeling, orchestration, privacy, and ethics"-- Provided by publisher. This item is printed on demand. Shipping may be from multiple locations in the US or from the UK, depending on stock availability.

HRD. Condition: New. New Book. Shipped from UK. THIS BOOK IS PRINTED ON DEMAND. Established seller since 2000.

Paperback. Condition: new. Paperback. Generative AI and intelligent systems transform technology, reshaping how humans interact with machines and how data-driven decisions are made. From chatbots that enhance customer engagement to advanced cybersecurity systems that detect digital threats, these innovations demonstrate the versatility of AI. By combining machine learning, natural language processing, and autonomous processes, generative AI enables systems to analyze information and create, adapt, and respond intelligently. As these technologies evolve, they also raise important questions about ethics, security, and the future of human machine collaboration in a connected world. Generative AI Applications and Intelligent Systems: From Chatbots to Cybersecurity explores how generative AI and intelligent systems revolutionize fields like communication, automation, and cybersecurity. It examines the development, applications, and ethical implications of AI technologies that generate content, make decisions, and enhance digital security. This book covers topics such as computer engineering, security and privacy, and data science, and is a useful resource for engineers, security professionals, academicians, researchers, and scientists. This item is printed on demand. Shipping may be from multiple locations in the US or from the UK, depending on stock availability.

HRD. Condition: New. New Book. Shipped from UK. THIS BOOK IS PRINTED ON DEMAND. Established seller since 2000.

Paperback. Condition: new. Paperback. Generative AI rapidly transforms data architectures, reshaping how organizations govern, manage, and analyze data. As organizations face growing demands for real-time insights, scalability, and compliance, traditional data systems struggle to keep pace. Generative AI-powered data architectures offer a shift, enabling intelligent data governance, automated management, and analytics that evolve autonomously. These architectures streamline complex data operations while enhancing decision-making through proactive, AI-driven insights. Further exploration of these infrastructures may reveal more adaptive, explainable, and capable data to support new innovations in enterprise analytics. Generative AI-Powered Data Architectures: From Governance to Autonomous Analytics explores how generative AI can be effectively integrated with modern data architectures to build scalable, secure, and intelligent systems. It addresses the entire data lifecycle from governance and ingestion to transformation, storage, and autonomous analytics empowering organizations to leverage AI-driven processes. This book covers topics such as data analytics, learning systems, and ethics and law, and is a useful resource for engineers, educators, business owners, academicians, researchers, and data scientists. "This book aims to bridge the gap between data architecture and AI advancements by exploring how generative technologies can influence data modeling, orchestration, privacy, and ethics"-- Provided by publisher. This item is printed on demand. Shipping may be from our UK warehouse or from our Australian or US warehouses, depending on stock availability.

Paperback. Condition: new. Paperback. Generative AI and intelligent systems transform technology, reshaping how humans interact with machines and how data-driven decisions are made. From chatbots that enhance customer engagement to advanced cybersecurity systems that detect digital threats, these innovations demonstrate the versatility of AI. By combining machine learning, natural language processing, and autonomous processes, generative AI enables systems to analyze information and create, adapt, and respond intelligently. As these technologies evolve, they also raise important questions about ethics, security, and the future of human machine collaboration in a connected world. Generative AI Applications and Intelligent Systems: From Chatbots to Cybersecurity explores how generative AI and intelligent systems revolutionize fields like communication, automation, and cybersecurity. It examines the development, applications, and ethical implications of AI technologies that generate content, make decisions, and enhance digital security. This book covers topics such as computer engineering, security and privacy, and data science, and is a useful resource for engineers, security professionals, academicians, researchers, and scientists. This item is printed on demand. Shipping may be from our UK warehouse or from our Australian or US warehouses, depending on stock availability.

Hardcover. Condition: new. Hardcover. Generative AI rapidly transforms data architectures, reshaping how organizations govern, manage, and analyze data. As organizations face growing demands for real-time insights, scalability, and compliance, traditional data systems struggle to keep pace. Generative AI-powered data architectures offer a shift, enabling intelligent data governance, automated management, and analytics that evolve autonomously. These architectures streamline complex data operations while enhancing decision-making through proactive, AI-driven insights. Further exploration of these infrastructures may reveal more adaptive, explainable, and capable data to support new innovations in enterprise analytics. Generative AI-Powered Data Architectures: From Governance to Autonomous Analytics explores how generative AI can be effectively integrated with modern data architectures to build scalable, secure, and intelligent systems. It addresses the entire data lifecycle from governance and ingestion to transformation, storage, and autonomous analytics empowering organizations to leverage AI-driven processes. This book covers topics such as data analytics, learning systems, and ethics and law, and is a useful resource for engineers, educators, business owners, academicians, researchers, and data scientists. "This book aims to bridge the gap between data architecture and AI advancements by exploring how generative technologies can influence data modeling, orchestration, privacy, and ethics"-- Provided by publisher. This item is printed on demand. Shipping may be from our UK warehouse or from our Australian or US warehouses, depending on stock availability.

Hardcover. Condition: new. Hardcover. Generative AI and intelligent systems transform technology, reshaping how humans interact with machines and how data-driven decisions are made. From chatbots that enhance customer engagement to advanced cybersecurity systems that detect digital threats, these innovations demonstrate the versatility of AI. By combining machine learning, natural language processing, and autonomous processes, generative AI enables systems to analyze information and create, adapt, and respond intelligently. As these technologies evolve, they also raise important questions about ethics, security, and the future of human machine collaboration in a connected world. Generative AI Applications and Intelligent Systems: From Chatbots to Cybersecurity explores how generative AI and intelligent systems revolutionize fields like communication, automation, and cybersecurity. It examines the development, applications, and ethical implications of AI technologies that generate content, make decisions, and enhance digital security. This book covers topics such as computer engineering, security and privacy, and data science, and is a useful resource for engineers, security professionals, academicians, researchers, and scientists. This item is printed on demand. Shipping may be from our UK warehouse or from our Australian or US warehouses, depending on stock availability.

Taschenbuch. Condition: Neu. Generative AI-Powered Data Architectures | From Governance to Autonomous Analytics | Bahaa Eddine Elbaghazaoui (u. a.) | Taschenbuch | Englisch | 2025 | IGI GLOBAL SCIENTIFIC PUBLISHING | EAN 9798337356174 | Verantwortliche Person für die EU: Libri GmbH, Europaallee 1, 36244 Bad Hersfeld, gpsr[at]libri[dot]de | Anbieter: preigu Print on Demand.

PAP. Condition: New. New Book. Shipped from UK. THIS BOOK IS PRINTED ON DEMAND. Established seller since 2000.

Taschenbuch. Condition: Neu. nach der Bestellung gedruckt Neuware - Printed after ordering - Generative AI rapidly transforms data architectures, reshaping how organizations govern, manage, and analyze data. As organizations face growing demands for real-time insights, scalability, and compliance, traditional data systems struggle to keep pace. Generative AI-powered data architectures offer a shift, enabling intelligent data governance, automated management, and analytics that evolve autonomously. These architectures streamline complex data operations while enhancing decision-making through proactive, AI-driven insights. Further exploration of these infrastructures may reveal more adaptive, explainable, and capable data to support new innovations in enterprise analytics. Generative AI-Powered Data Architectures: From Governance to Autonomous Analytics explores how generative AI can be effectively integrated with modern data architectures to build scalable, secure, and intelligent systems. It addresses the entire data lifecycle from governance and ingestion to transformation, storage, and autonomous analytics empowering organizations to leverage AI-driven processes. This book covers topics such as data analytics, learning systems, and ethics and law, and is a useful resource for engineers, educators, business owners, academicians, researchers, and data scientists.

Taschenbuch. Condition: Neu. Generative AI Applications and Intelligent Systems | From Chatbots to Cybersecurity | Bahaa Eddine Elbaghazaoui (u. a.) | Taschenbuch | Englisch | 2025 | IGI GLOBAL SCIENTIFIC PUBLISHING | EAN 9798337380124 | Verantwortliche Person für die EU: Libri GmbH, Europaallee 1, 36244 Bad Hersfeld, gpsr[at]libri[dot]de | Anbieter: preigu Print on Demand.

Buch. Condition: Neu. Generative AI-Powered Data Architectures | From Governance to Autonomous Analytics | Bahaa Eddine Elbaghazaoui (u. a.) | Buch | Englisch | 2025 | IGI GLOBAL SCIENTIFIC PUBLISHING | EAN 9798337356167 | Verantwortliche Person für die EU: Libri GmbH, Europaallee 1, 36244 Bad Hersfeld, gpsr[at]libri[dot]de | Anbieter: preigu Print on Demand.

HRD. Condition: New. New Book. Shipped from UK. THIS BOOK IS PRINTED ON DEMAND. Established seller since 2000.

Buch. Condition: Neu. Generative AI Applications and Intelligent Systems | From Chatbots to Cybersecurity | Bahaa Eddine Elbaghazaoui (u. a.) | Buch | Englisch | 2025 | IGI GLOBAL SCIENTIFIC PUBLISHING | EAN 9798337380117 | Verantwortliche Person für die EU: Libri GmbH, Europaallee 1, 36244 Bad Hersfeld, gpsr[at]libri[dot]de | Anbieter: preigu Print on Demand.

Buch. Condition: Neu. nach der Bestellung gedruckt Neuware - Printed after ordering - Generative AI and intelligent systems transform technology, reshaping how humans interact with machines and how data-driven decisions are made. From chatbots that enhance customer engagement to advanced cybersecurity systems that detect digital threats, these innovations demonstrate the versatility of AI. By combining machine learning, natural language processing, and autonomous processes, generative AI enables systems to analyze information and create, adapt, and respond intelligently. As these technologies evolve, they also raise important questions about ethics, security, and the future of human machine collaboration in a connected world. Generative AI Applications and Intelligent Systems: From Chatbots to Cybersecurity explores how generative AI and intelligent systems revolutionize fields like communication, automation, and cybersecurity. It examines the development, applications, and ethical implications of AI technologies that generate content, make decisions, and enhance digital security. This book covers topics such as computer engineering, security and privacy, and data science, and is a useful resource for engineers, security professionals, academicians, researchers, and scientists.

Taschenbuch. Condition: Neu. nach der Bestellung gedruckt Neuware - Printed after ordering - In today s digital landscape, data governance, DevSecOps, and advancements in modern software development have become critical in secure and efficient technology ecosystems. As organizations rely on large amounts of data and sophisticated software systems to drive innovation and business success, the need for improved frameworks to manage, protect, and optimize this data increases. Data governance ensures data is accurate, secure, and compliant with regulations, while DevSecOps, an integrated approach to development, security, and operations, empowers teams to build, test, and utilize software with security embedded through its lifecycle. Along with the latest advancements in modern software technologies, these concepts form the foundation for building resilient, secure, and scalable applications. The intersection of these practices shapes the future of how software is developed, deployed, and governed, and further research may provide both opportunities and challenges for connection. Data Governance, DevSecOps, and Advancements in Modern Software explores the integration of key technologies and methodologies that define the modern digital landscape, with a focus on DataOps, DevSecOps, data governance, and software architecture. It provides a comprehensive guide to managing data workflows and enhancing operational efficiency while embedding security at every stage of the development lifecycle. This book covers topics such as data science, artificial intelligence, and resilient systems, and is a useful resource for data scientists, engineers, software developers, business owners, researchers, and academicians.

Buch. Condition: Neu. nach der Bestellung gedruckt Neuware - Printed after ordering - In today s digital landscape, data governance, DevSecOps, and advancements in modern software development have become critical in secure and efficient technology ecosystems. As organizations rely on large amounts of data and sophisticated software systems to drive innovation and business success, the need for improved frameworks to manage, protect, and optimize this data increases. Data governance ensures data is accurate, secure, and compliant with regulations, while DevSecOps, an integrated approach to development, security, and operations, empowers teams to build, test, and utilize software with security embedded through its lifecycle. Along with the latest advancements in modern software technologies, these concepts form the foundation for building resilient, secure, and scalable applications. The intersection of these practices shapes the future of how software is developed, deployed, and governed, and further research may provide both opportunities and challenges for connection. Data Governance, DevSecOps, and Advancements in Modern Software explores the integration of key technologies and methodologies that define the modern digital landscape, with a focus on DataOps, DevSecOps, data governance, and software architecture. It provides a comprehensive guide to managing data workflows and enhancing operational efficiency while embedding security at every stage of the development lifecycle. This book covers topics such as data science, artificial intelligence, and resilient systems, and is a useful resource for data scientists, engineers, software developers, business owners, researchers, and academicians.