TMCnet

Bridging Silence: A Real-Time Sign Language to English Text Translation System Using Python, OpenCV, and Convolutional Neural Networks

Bridging communication gaps between hearing and hearing-impaired individuals is an important challenge in assistive ...
Scientific Research Publishing

Early Alzheimer’s Disease Detection from Short Speech Samples Using Lightweight, Interpretable Linguistic Markers ()

Based Detection, Linguistic Biomarkers, Machine Learning, Explainable AI, Cognitive Decline Monitoring Share and Cite: de Filippis, R. and Al Foysal, A. (2025) Early Alzheimer’s Disease Detection from ...
Scientific Research Publishing

Cumulative Link Modeling of Ordinal Outcomes in the National Health Interview Survey Data: Application to Depressive Symptom Severity ()

Williams, A. and Louis, L. (2026) Cumulative Link Modeling of Ordinal Outcomes in the National Health Interview Survey Data: Application to Depressive Symptom Severity. Journal of Data Analysis and ...
IEEE

A High-Accuracy and Ultra-Energy-Efficient Cardiac Arrhythmia Classification Processor for Wearable Intelligent ECG Monitoring

Abstract: Wearable intelligent electrocardiography (ECG) sensors with integrated cardiac arrhythmia classification processors have been used to detect and classify arrhythmia, alerting users to ...
GitHub

Seasonal: High-Precision Solar Tracking Engine

Seasonal is a high-precision solar position engine with a web-based UI. It computes the Sun’s apparent position (altitude/azimuth) using a full physical model (VSOP87D Earth ephemeris, nutation, ...
IEEE

Uncertainty as a Predictor of Classification Accuracy in Machine Learning-Assisted Measurements [Measurement Methodology]

Abstract: Like other sectors of the industry, instrumentation and measurement (I&M) in the past few years has witnessed the significant rise of Machine Learning (ML) in its domain [1]. In I&M, ML is ...