Modern Computing

Principles and Paradigms
1. Auflage 2026
ISBN: 978-1-041-34190-1
Verlag: Taylor & Francis Ltd

Buch, Englisch, 280 Seiten, Format (B × H): 178 mm x 254 mm

Modern Computing: Principles and Paradigms provides a comprehensive text and reference on modern computing, covering the most recent paradigms, systems and architectures that have revolutionised computational intelligence through the use of cutting-edge Artificial Intelligence of Things (AIoT) applications.

The book presents state-of-the-art research on emerging areas of communications, networking and emerging technologies such as AIoT applications, Digital Twins, Edge AI, Industrial Internet of Things (IIoT). Advanced research findings (theoretical innovations and modelling applications) provide high-quality concepts, hybrid applications, innovative methodologies and development trend studies for a wide audience. It will enable readers to learn the fundamental science as well as the practical development of AI-driven next-generation modern computing.

With particular emphasis the areas of AI, next generation computing and cloud computing, this book will be of great use to postgraduates and researchers across computer science and engineering, information technology, electronics and communication and data science.

Zielgruppe

Academic, Postgraduate, Professional Practice & Development, and Undergraduate Advanced

Autoren/Hrsg.

Gill, Sukhpal Singh

Fachgebiete

• Mathematik | Informatik EDV | Informatik Computerkommunikation & -vernetzung Cloud-Computing, Grid-Computing
• Mathematik | Informatik EDV | Informatik Informatik Künstliche Intelligenz Mustererkennung, Biometrik
• Mathematik | Informatik EDV | Informatik Daten / Datenbanken
• Mathematik | Informatik EDV | Informatik Informatik Künstliche Intelligenz Neuronale Netzwerke
• Mathematik | Informatik EDV | Informatik Informatik Künstliche Intelligenz Computer Vision
• Mathematik | Informatik EDV | Informatik Professionelle Anwendung
• Mathematik | Informatik EDV | Informatik Informatik Künstliche Intelligenz Maschinelles Lernen
• Mathematik | Informatik EDV | Informatik Informatik Mensch-Maschine-Interaktion Ambient Intelligence, RFID, Internet der Dinge

Inhaltsverzeichnis

Part 1. Modern Computing: Architecture, Systems and Paradigms  1. Modern Computing at a Glance  2. AI for Cloud Resource Management for Net Zero Carbon Emissions 3. Proactive Resource Management for Scalable Edge AI Environments 4. QoS Based Transformer Architecture for Carbon Neutral Cloud Computing  5. Sustainable Serverless Computing for Industrial Internet of Things Part 2. Modern Applications, Services and Methods 6. Privacy Preserving and Secure Federated Transfer Learning for Industry 5.0 7. Geospatial Artificial Intelligence for Smart Agriculture and Modern Farming 8. AI Based Modern Cloud Computing for Smart Kitchen  9. Artificial Intelligence of Things for Modern Healthcare using Edge Cloud Continuum 10. Vertical Federated Learning with Data-Space Heterogeneity Part 3. Modern Technologies and Emerging Trends 11. Transformers Based Performance Analysis in Modern Serverless Infrastructures 12. BERT Based Hate Speech Detection Framework Using LLMs 13. Formula 1 Model Context Protocol Platform for LLMs Using Cloud Computing 14. AI-Driven Smart Home Energy Optimization Using Digital Twins 15. Reshaping Modern Computing with AI

Über Autor(innen)

Dr. Sukhpal Singh Gill (SFHEA) is Assistant Professor at Queen Mary University of London (UK), and serves as an EiC for IGI Global IJAEC, Executive Editor for Elsevier IoT and Area Editor for Springer Cluster Computing, also serving as Associate Editor in IEEE IoT, Nature Scientific Reports Journals.