Guest Editors
Dr. AbdulRahman A. Alsewari
Email: rahman.alsewari@bcu.ac.uk
Affiliation: Faculty of Computing, Birmingham City University, Birmingham, B4 7XG, United Kingdom
Homepage:
Research Interests: artificial intelligence, image processing, soft computing, optimization algorithms
Dr. Mohammed M. Abdelsamea
Email: m.abdelsamea@exeter.ac.uk
Affiliation: Computer Science Department, Exeter University, Exeter, EX4 4QF, United Kindom
Homepage:
Research Interests: convolutional neural network, deep learning, graph convolutional network, colorectal cancer, colorectal cancer dataset, convolutional layers, image classification, medical imaging, ability of the model, active learning, active learning techniques, advanced spaceborne thermal emission
Dr. Taha H. Rassem
Email: taha.rassem@dmu.ac.uk
Affiliation: School of Computer Science and Informatics, De Montfort University, Leicester, LE2 7DR, UK
Homepage:
Research Interests: medical image processing, AI, deep learning, digital watermakring, object recognition
Summary
The special issue "Advances in Image Recognition: Innovations, Applications, and Future Directions" aims to highlight the latest advancements and emerging trends in the field of image recognition. This issue explores cutting-edge innovations in deep learning, neural networks, and computer vision technologies that are revolutionizing image recognition across various domains. It examines the applications of these techniques in healthcare, autonomous systems, agriculture, security, and environmental monitoring. The special issue also delves into the challenges that still remain, such as handling diverse data sources, improving model robustness, and ensuring real-time processing. Finally, the issue provides insights into future research directions, including the integration of generative models, unsupervised learning, and edge computing for smarter, more efficient image recognition systems.
Potential Topics for Submission:
• Deep learning techniques for image recognition
• Applications of image recognition in healthcare and medical imaging
• Autonomous vehicles and image recognition systems
• Edge computing for real-time image recognition
• Generative models and their impact on image recognition
• Image recognition for environmental and agricultural monitoring
• Challenges and solutions in multi-modal image recognition
• Unsupervised and semi-supervised learning for image recognition
Keywords
Deep Learning, Computer Vision, Autonomous Systems, Healthcare Imaging, Edge Computing, Generative Models, Real-time Processing
Published Papers
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