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Detection of concealed explosives using terahertz spectral imaging and deep learning
Detecting concealed explosives and chemical threats constitutes a critical challenge in global security, yet current ...
Supervised learning algorithms like Random Forests, XGBoost, and LSTMs dominate crypto trading by predicting price directions ...
In a study titled Recent Applications of Machine Learning Algorithms for Pesticide Analysis in Food Samples, published in the ...
Teacher readiness and AI literacy also emerge as critical factors. While educators expressed openness to AI-supported personalization, effective use depended on understanding both the capabilities and ...
The early childhood years--especially between ages 2 and 6--form the cornerstone of a child's emotional, cognitive, and ...
As an emerging technology in the field of artificial intelligence (AI), graph neural networks (GNNs) are deep learning models designed to process graph-structured data. Currently, GNNs are effective ...
A deep learning framework combines convolutional and bidirectional recurrent networks to improve protein function prediction from genomic ...
AI algorithms analyse complex medical images with speed and precision, supporting early disease detection.Radiology and ...
Bates has once again been recognized by the American Council on Education and the Carnegie Foundation for the Advancement of ...
BEREA – Berea College has once again been selected for the 2026 Carnegie Elective Classification for Community Engagement, a ...
Breakthrough AI foundation model called BrainIAC is able to predict brain age, dementia, time-to-stroke, and brain cancer ...
UMass Lowell business students tour the gymnasium at the Boys and Girls Club of Greater Lowell. UMass Lowell has received a ...
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