The integration of sleep-based AI into routine health check-ups represents a significant leap forward in personalised ...

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: To categorize remote sensing images from a dataset with ten classes-'harbor', 'chaparral', 'tennis_court', 'industrial_area', 'parking_lot', 'forest', 'beach', 'overpass', 'airplane', and ...

1 Department of Computer Science, American International University-Bangladesh (AIUB), Dhaka, Bangladesh. 2 Department of Electrical and Electronics Engineering, American International ...

1 School of Advanced Agricultural Sciences, Kashi University, Kashi, China 2 Agricultural Science Institute, 3rd Division of Xinjiang Production and Construction Corps, Tumxuk, China This study ...

Abstract: Proper waste classification is essential for effective recycling and reducing environmental harm. This paper presents a new approach to waste classification using Deep Reinforcement Learning ...

Article subjects are automatically applied from the ACS Subject Taxonomy and describe the scientific concepts and themes of the article. Figure 1 illustrates the overall workflow of the hyperspectral ...

A new machine learning model developed by The George Institute for Global Health can successfully predict heart disease risk in women by analyzing mammograms. The findings were published today in ...

1 Department of Pharmacy, The First Affiliated Hospital of Shantou University Medical College, Shantou, China 2 Department of Pharmacology, Shantou University Medical College, Shantou, China ...

Nvidia provided in-depth details on the various neural rendering techniques that will be unveiled with the RTX 50-series ...