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17-year-old builds AI tool to speed malaria and blood-disease diagnosis
Somewhere, a 17-year-old has built an artificial intelligence tool designed to identify malaria and other blood diseases from ...
AI security cameras enhance smart home security using computer vision, behavioral anomaly detection, and facial recognition ...
Researchers have evaluated how Vision Transformers and convolutional neural networks can support faster and more accurate ...
Struggling with microseismic signal classification in deep underground engineering? Researchers from Sichuan University ...
This paper is in the following e-collection/theme issue: Artificial Intelligence (2396) Machine Learning (2260) Pressure Ulcers and Decubitus Wounds (30) Chronic Foot Ulcer and Wounds (24) Artificial ...
The research identifies several limitations that must be addressed for large-scale deployment. One of the primary challenges ...
Abstract: This research explores a deep learning-based approach to sports image classification using four convolutional neural network (CNN) models: VGG-16, VGG-19, Xception, and EfficientNetB7. The ...
aTaub Faculty of Computer Science, Technion-Israel Institute of Technology, Haifa, Israel bFaculty of Electrical and Computer Engineering, Technion-Israel Institute of Technology, Haifa, Israel ...
lDepartment of Surgery, Meizhou People’s Hospital, Meizhou, China mDepartment of General Practice, Guangdong Provincial Geriatrics Institute, Guangdong Provincial People’s Hospital (Guangdong Academy ...
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