Overview: Master deep learning with these 10 essential books blending math, code, and real-world AI applications for lasting ...

CNN in deep learning is a special type of neural network that can understand images and visual information. It works just like human vision: first it detects edges, lines and then recognizes faces and ...

Abstract: Removing unwanted reflections from images is a fundamental yet challenging problem in low-level computer vision. Recent deep learning-based Single Image Reflection Removal (SIRR) methods ...

The rapid advancement of Artificial Intelligence (AI) and the integration of digital technologies present transformative opportunities to improve productivity, safety, and efficiency in construction ...

Dr. Vijayan Asari is the University of Dayton Ohio Research Scholars Endowed Chair in Wide Area Surveillance and a Professor with the Department of Electrical and Computer Engineering. He is also the ...

Computer vision continues to be one of the most dynamic and impactful fields in artificial intelligence. Thanks to breakthroughs in deep learning, architecture design and data efficiency, machines are ...

New research demonstartes the power of combining computer vision with generative models to address key inefficiencies in smart farming. Published in Applied Sciences, the study emphasizes how these AI ...

Abstract: Diffusion models have provided the state-of-the-art performances for different computer vision tasks, including the task of underwater image enhancement. One of the challenges in the task of ...

In the context of a continually growing global population and rising food demand, fruit, as an important source of nutrition, requires quality grading and efficient processing, which are critical ...