Overview: Master deep learning with these 10 essential books blending math, code, and real-world AI applications for lasting expertise.From neural networks to N ...
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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 ...
As an emerging technology in the field of artificial intelligence (AI), graph neural networks (GNNs) are deep learning models ...
In a study titled Recent Applications of Machine Learning Algorithms for Pesticide Analysis in Food Samples, published in the ...
A deep learning framework combines convolutional and bidirectional recurrent networks to improve protein function prediction from genomic ...
Bates has once again been recognized by the American Council on Education and the Carnegie Foundation for the Advancement of ...
Integrating deep learning in optical microscopy enhances image analysis, overcoming traditional limitations and improving ...
One of the most difficult challenges in payment card fraud detection is extreme class imbalance. Fraudulent transactions ...
The Carnegie Classification for Community Engagement is awarded to institutions that demonstrate a profound commitment to community partnerships and civic responsibility. AdventHealth University’s ...
The University of North Florida has once again been recognized for its sustained commitment to community partnership, earning the Carnegie Elective Classification for Community Engagement for the ...
Purdue University has once again earned national recognition for its longstanding commitment to partnering with communities by way of the 2026 Carnegie Community ...
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