Kumar ahlad (11 Ergebnisse)

Zustand: New.

Paperback. Zustand: Brand New. 172 pages. 7.00x0.40x10.00 inches. In Stock.

Taschenbuch. Zustand: Neu. Design of Low Voltage Analog Signal Processing Blocks | Ahlad Kumar (u. a.) | Taschenbuch | 104 S. | Englisch | 2014 | LAP LAMBERT Academic Publishing | EAN 9783659519444 | Verantwortliche Person für die EU: preigu GmbH & Co. KG, Lengericher Landstr. 19, 49078 Osnabrück, mail[at]preigu[dot]de | Anbieter: preigu. …

Zustand: New.

Zustand: New. Ahlad Kumar is currently serving as an Assistant Professor at the National Forensic Sciences University (Institute of National Importance) (Under the Home Ministry), Gandhinagar. Dr. Kumar has several papers published in well-renowned journals, in.

Taschenbuch. Zustand: Neu. Neuware - This book aims to provide a comprehensive overview of the applications of Artificial Intelligence (AI) in the area of Cybersecurity and Digital Forensics. The various chapters of this book are written to explore how cutting¿edge technologies can be used to improve the detection, prevention, and investigation of cybercrime and help protect digital assets.Digital Defence covers an overview of deep learning and AI techniques and their relevance to cybersecurity and digital forensics, discusses common cyber threats and vulnerabilities, and how deep learning and AI can detect and prevent them. It focuses on how deep learning/artificial learning techniques can be used for intrusion detection in networks and systems, analyze and classify malware, and identify potential sources of malware attacks. This book also explores AI's role in digital forensics investigations, including data recovery, incident response and management, real¿time monitoring, automated response analysis, ethical and legal considerations, and visualization. By covering these topics, this book will provide a valuable resource for researchers, students, and cybersecurity and digital forensics professionals interested in learning about the latest advances in deep learning and AI techniques and their applications.…

Zustand: As New. Unread book in perfect condition.

Zustand: New.

Hardback. Zustand: New. This book aims to provide a comprehensive overview of the applications of Artificial Intelligence (AI) in the area of Cybersecurity and Digital Forensics. The various chapters of this book are written to explore how cutting-edge technologies can be used to improve the detection, prevention, and investigation of cybercrime and help protect digital assets.Digital Defence covers an overview of deep learning and AI techniques and their relevance to cybersecurity and digital forensics, discusses common cyber threats and vulnerabilities, and how deep learning and AI can detect and prevent them. It focuses on how deep learning/artificial learning techniques can be used for intrusion detection in networks and systems, analyze and classify malware, and identify potential sources of malware attacks. This book also explores AI's role in digital forensics investigations, including data recovery, incident response and management, real-time monitoring, automated response analysis, ethical and legal considerations, and visualization. By covering these topics, this book will provide a valuable resource for researchers, students, and cybersecurity and digital forensics professionals interested in learning about the latest advances in deep learning and AI techniques and their applications.…

Hardcover. Zustand: Brand New. 200 pages. 10.00x7.00x0.75 inches. In Stock.

Hardback. Zustand: New. This book aims to provide a comprehensive overview of the applications of Artificial Intelligence (AI) in the area of Cybersecurity and Digital Forensics. The various chapters of this book are written to explore how cutting-edge technologies can be used to improve the detection, prevention, and investigation of cybercrime and help protect digital assets.Digital Defence covers an overview of deep learning and AI techniques and their relevance to cybersecurity and digital forensics, discusses common cyber threats and vulnerabilities, and how deep learning and AI can detect and prevent them. It focuses on how deep learning/artificial learning techniques can be used for intrusion detection in networks and systems, analyze and classify malware, and identify potential sources of malware attacks. This book also explores AI's role in digital forensics investigations, including data recovery, incident response and management, real-time monitoring, automated response analysis, ethical and legal considerations, and visualization. By covering these topics, this book will provide a valuable resource for researchers, students, and cybersecurity and digital forensics professionals interested in learning about the latest advances in deep learning and AI techniques and their applications.…