
AI for Emerging Verticals by Muhammad Zeeshan Shakir
This edited book explores novel concepts and cutting-edge research and developments towards designing fully automated advanced digital systems. Fostered by technological advances in artificial intelligence and machine learning, such systems potentially have a wide range of applications in robotics, human computing, sensing and networking.-
UML for Systems Engineering
-
Generative AI for Multimedia Content Processing, Security and Privacy
-
The Power of Large Language Models and AI in the Digital Age
-
Modelling Enterprise Architectures
-
Knowledge Discovery and Data Mining
-
Generative AI for Sign Language Recognition and Translation
-
Managing Complexity in Software Engineering
-
Semi-custom IC Design and VLSI
-
Ultrascale Computing Systems
-
The Digital Twin Handbook
-
Matrix Factorization for Multimedia Clustering
-
Trustworthy Autonomic Computing
-
AIoT Technologies and Applications for Smart Environments
-
Intelligent Network Design Driven by Big Data Analytics, IoT, AI and Cloud Computing
-
Demystifying Graph Data Science
-
Energy Optimization and Security in Federated Learning for IoT Environments
-
Big Data Recommender Systems
-
Blockchains for Network Security
-
Network Classification for Traffic Management
-
Intelligent Distributed Video Surveillance Systems
-
Big Data and Software Defined Networks
-
Security and Privacy for Big Data, Cloud Computing and Applications
-
Intelligent Multimedia Technologies for Financial Risk Management
-
E-learning Methodologies
-
Many-Core Computing
-
Big Data-Enabled Internet of Things
-
Generative AI Unleashed
-
Explainable Artificial Intelligence for Trustworthy Internet of Things
-
Streaming Analytics
-
Edge Computing
-
ReRAM-based Machine Learning
-
Nature-inspired Optimization Algorithms and Soft Computing
-
Advanced Networking Technologies
-
Virtual Reality and Light Field Immersive Video Technologies for Real-World Applications
-
Federated Learning for Multimedia Data Processing and Security in Industry 5.0
-
Engineering the Metaverse
-
Personal Knowledge Graphs (PKGs)
-
Trusted Platform Modules
-
Explainable Artificial Intelligence (XAI)
-
Earth Observation Data Analytics Using Machine and Deep Learning
-
Graphical Programming Using LabVIEW
-
Computer Vision and Recognition Systems Using Machine and Deep Learning Approaches
-
Managing Internet of Things Applications across Edge and Cloud Data Centres
-
Enabling Technologies for Smart Fog Computing
-
Intelligent Multimedia Processing and Computer Vision
-
Access Control and Security Monitoring of Multimedia Information Processing and Transmission
Muhammad Zeeshan Shakir is an associate professor at the School of Computing, Engineering and Physical Sciences, University of the West of Scotland, Paisley, Scotland, United Kingdom. He is an expert in networks, Internet of Things and machine-learning/artificial intelligence. He has won over £1.5m research funding for the UK/EU and international projects and has published over 150 research articles. He is a senior member of IEEE Communications Society and IEEE, a fellow of Higher Education Academy, and a chair of the IEEE ComSoc emerging technologies initiative on backhaul/fronthaul communications.
Naeem Ramzan is a full professor and director of the Affective and Human Computing for Smart Environment Research Centre at the University of the West of Scotland, Paisley, Scotland, United Kingdom. He has published nearly 200 highly cited publications and lead major national/EU/KTP projects worth over £10m. He is a senior member of the IEEE, a senior fellow of Higher Education Academy, a co-chair of MPEG HEVC verification (AHG5) group and a voting member of the British Standard Institution.
| SKU | Unavailable |
| ISBN 13 | 9781785619823 |
| ISBN 10 | 1785619829 |
| Title | AI for Emerging Verticals |
| Author | Muhammad Zeeshan Shakir |
| Series | Computing And Networks |
| Condition | Unavailable |
| Binding Type | Hardback |
| Publisher | Institution of Engineering and Technology |
| Year published | 2021-01-29 |
| Number of pages | 386 |
| Cover note | Book picture is for illustrative purposes only, actual binding, cover or edition may vary. |
| Note | Unavailable |













































