Buch, Englisch, 266 Seiten, Format (B × H): 235 mm x 157 mm, Gewicht: 406 g
Buch, Englisch, 266 Seiten, Format (B × H): 235 mm x 157 mm, Gewicht: 406 g
ISBN: 978-1-032-13614-1
Verlag: Taylor & Francis Ltd
AI for Big Data-Based Engineering Applications from Security Perspectives is an integrated source that aims at understanding the basic concepts associated with the security of advanced circuits. The content includes theoretical frameworks and recent empirical findings in the field to understand the associated principles, key challenges, and recent real-time applications of advanced circuits, AI, and big data security. It illustrates the notions, models, and terminologies that are widely used in the area of Very Large Scale Integration (VLSI) circuits, security, identifies the existing security issues in the field, and evaluates the underlying factors that influence system security. This work emphasizes the idea of understanding the motivation behind advanced circuit design to establish the AI interface and to mitigate security attacks in a better way for big data. This book also outlines exciting areas of future research where already existing methodologies can be implemented. This material is suitable for students, researchers, and professionals with research interest in AI for big data–based engineering applications, faculty members across universities, and software developers.
Zielgruppe
Academic, Postgraduate, Professional, and Undergraduate Advanced
Autoren/Hrsg.
Fachgebiete
- Mathematik | Informatik EDV | Informatik Informatik Künstliche Intelligenz
- Mathematik | Informatik EDV | Informatik Technische Informatik Computersicherheit Datensicherheit, Datenschutz
- Mathematik | Informatik EDV | Informatik Computerkommunikation & -vernetzung Elektronischer Datenaustausch (EDI)
- Mathematik | Informatik EDV | Informatik Daten / Datenbanken Automatische Datenerfassung, Datenanalyse
- Mathematik | Informatik EDV | Informatik EDV & Informatik Allgemein
- Mathematik | Informatik EDV | Informatik Computerkommunikation & -vernetzung Netzwerksicherheit
Weitere Infos & Material
1. Artificial Intelligence-Empowered 3D Bioprinting, 2. AI and IoT in Smart Healthcare, 3. Spintronic Technology Applications for Artificial Intelligence, 4. AI-Based ECG Signal Monitoring System for Arrhythmia Detection Using IoMT, 5. Fast Image Desmogging for Road Safety Using Optimized Dark Channel Prior, 6. Face Mask Detection Using Artificial Intelligence, 7. Emerging Nonvolatile Memories for AI Applications, 8. Intelligent Irrigation Systems, 9. Reversible Logic Gates Using Quantum Dot Cellular Automata (QCA) Nanotechnology.