Artificial intelligence (AI) is increasingly used to analyze medical images, materials data and scientific measurements, but ...
Bridging communication gaps between hearing and hearing-impaired individuals is an important challenge in assistive ...
Adnan and colleagues evaluated machine learning models’ ability to screen for Parkinson’s disease using self-recorded smile videos. 2. The models achieved high sensitivity and specificity among ...
Automated Material Stream Identification (MSI) System using classical ML (SVM, k-NN) with MobileNetV2 feature extraction. Classifies waste into 7 categories (including "Unknown") in real-time via ...
This repository provides an Android application for classifying traffic signs using a pre-trained Convolutional Neural Network (CNN) model. The app is designed for real-time traffic sign recognition ...
Abstract: Machine learning draws its power from various disciplines, including computer science, cognitive science, and statistics. Although machine learning has achieved great advancements in both ...