Bamhdi alwi (39 Ergebnisse)

PAP. Zustand: New. New Book. Shipped from UK. Established seller since 2000.

PAP. Zustand: New. New Book. Shipped from UK. Established seller since 2000.

Zustand: New.

PAP. Zustand: New. New Book. Shipped from UK. Established seller since 2000.

PAP. Zustand: New. New Book. Shipped from UK. Established seller since 2000.

Zustand: New.

Zustand: New. 2025. 1st Edition. paperback. . . . . . Books ship from the US and Ireland.

Zustand: NEW.

Zustand: New. In English.

HRD. Zustand: New. New Book. Shipped from UK. Established seller since 2000.

Paperback. Zustand: Brand New. 360 pages. 9.18x6.12x9.21 inches. In Stock.

Zustand: New. In English.

Zustand: NEW.

Paperback. Zustand: Brand New. 274 pages. 6.14x0.62x9.21 inches. In Stock.

Zustand: New. Faheem Syeed Masoodi is an Assistant Professor in the Department of Computer Science, University of Kashmir. Earlier, he served College of Computer Science, University of Jizan, Saudi Arabia as an Assistant Professor.Alwi M. Bamhdi i.

Zustand: New.

Zustand: New. Dr. Faheem Syeed Masoodi is an assistant professor in the Department of Computer Science, University of Kashmir, India. Earlier, he held that position at the College of Computer Science, University of Jizan, Saudi Arabia for his doctorate programm.

Paperback. Zustand: Brand New. 280 pages. 9.18x6.12x9.21 inches. In Stock.

Taschenbuch. Zustand: Neu. Applying Blockchain Technology | Concepts and Trends | Javaid Iqbal (u. a.) | Taschenbuch | Einband - flex.(Paperback) | Englisch | 2025 | Auerbach Publications | EAN 9781032637037 | Verantwortliche Person für die EU: Taylor & Francis Verlag GmbH, Kaufingerstr. 24, 80331 München, gpsr[at]taylorandfrancis[dot]com | Anbieter: preigu.…

Zustand: New. Javaid Iqbal is an Associate Professor in the Postgraduate Department of Computer Science, University of Kashmir, Srinagar Jammu and Kashmir, India. He obtained his PhD in Computer Science from the University of Kashmir in 2014. A.

Paperback. Zustand: Brand New. 240 pages. 9.19x6.13x0.75 inches. In Stock.

Taschenbuch. Zustand: Neu. Neuware - The book provides a comprehensive examination of the integration of IoT technology into various industries and its impact on daily life, with a focus on the most recent advancements in the field. The technical aspects of IoT are thoroughly discussed, including the implementation of cutting-edge sensors, data communication protocols, and network topologies. The book also covers the latest advancements in areas such as edge computing, 5G networks, and AI-powered IoT devices. Emphasis is placed on the examination of IoT in real-world applications, including healthcare, agriculture, transportation, and home automation. Other highlights of the book include: - IoT-based systems for monitoring air and water quality - Wearable devices for continuous monitoring of vital signs and other health metrics - IoT-based systems for monitoring and optimizing crop growth and yields - Connected vehicles for improved safety, efficiency, and traffic management - Monitoring of goods and resources in transit to optimize delivery times With case studies and real-world examples, readers gain a comprehensive understanding of how IoT is revolutionizing various industries and enhancing daily life. This book is a comprehensive guide to the exciting world of IoT and its practical application.…

Zustand: New. In English.

Hardcover. Zustand: Brand New. 336 pages. 6.30x1.00x9.10 inches. In Stock.

Zustand: New.

Zustand: New. 2025. 1st Edition. hardcover. . . . . . Books ship from the US and Ireland.

hardcover. Zustand: Fine.

Buch. Zustand: Neu. Neuware - Comprehensive resource exploring deep learning techniques for intrusion detection in various applications such as cyber physical systems and IoT networks Deep Learning for Intrusion Detection provides a practical guide to understand the challenges of intrusion detection in various application areas and how deep learning can be applied to address those challenges. It begins by discussing the basic concepts of intrusion detection systems (IDS) and various deep learning techniques such as convolutional neural networks (CNNs), recurrent neural networks (RNNs), and deep belief networks (DBNs). Later chapters cover timely topics including network communication between vehicles and unmanned aerial vehicles. The book closes by discussing security and intrusion issues associated with lightweight IoTs, MQTT networks, and Zero-Day attacks. The book presents real-world examples and case studies to highlight practical applications, along with contributions from leading experts who bring rich experience in both theory and practice. Deep Learning for Intrusion Detection includes information on: - Types of datasets commonly used in intrusion detection research including network traffic datasets, system call datasets, and simulated datasets- The importance of feature extraction and selection in improving the accuracy and efficiency of intrusion detection systems- Security challenges associated with cloud computing, including unauthorized access, data loss, and other malicious activities- Mobile Adhoc Networks (MANETs) and their significant security concerns due to high mobility and the absence of a centralized authority Deep Learning for Intrusion Detection is an excellent reference on the subject for computer science researchers, practitioners, and students as well as engineers and professionals working in cybersecurity.…

Zustand: New.

Zustand: New.