Machine Learning and Image-Based Smart Sensing and Applications

Dear Colleagues,

In recent years, the integration of machine learning techniques with image-based smart sensing has emerged as a powerful paradigm, reshaping the landscape of computer vision technologies and their applications. This convergence has been fueled by remarkable advancements in both machine learning algorithms and image processing methods, unlocking unprecedented capabilities in perception, understanding, and decision making. From healthcare to environmental monitoring, from autonomous systems to augmented reality, the synergy between machine learning and image-based sensing has paved the way for innovative solutions to complex real-world problems. This Special Issue seeks to explore the latest developments and trends in this exciting field, providing a platform for researchers and practitioners to exchange ideas, share insights, and push the boundaries of what is possible with machine learning and image-based smart sensing.

Topics of interest include, but are not limited to, the following:

• Deep learning algorithms for image-based smart sensing applications.
• Machine learning approaches for medical imaging and healthcare diagnostics.
• Computer vision techniques for image analysis, recognition, and understanding.
• Security and surveillance systems utilizing image analysis and computer vision.
• Multi-modal sensor fusion incorporating visual data for enhanced perception.
• Environmental monitoring and sustainability solutions leveraging image-based sensing.

Prof. Dr. Ran-Zan Wang
Dr. Shang-Kuan Chen
Guest Editors

Manuscript Submission Information

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