Applied Analytics professor Siddhartha Dalal discusses the impacts of applied technologies on real-life risk management.

A deep learning model, using high-resolution anterior segment optical coherence tomography (HR-OCT) scans, can accurately differentiate ocular surface squamous neoplasia (OSSN) from pterygium or ...

Course experience had a positive effect on the deep learning approach (β = 0.433, p < 0.001) and had a negative effect on the surface learning approach (β = −0.220, p < 0.001), which confirmed H4, ...

Realtime model learning is a challenging task for autonomous surface vehicles (ASVs) sailing in a variable sea environment. Deep learning based on deep neural networks (DNNs) takes advantage of high ...

Gesture recognition using sparse multichannel surface electromyography (sEMG) is a challenging problem, and the solutions are far from optimal from the point of view of muscle-computer interface. In ...

Transition students’ surface learning to deep learning by making routine comparisons in their math and writing assignments. In math, when students show their solutions to a problem using the standard ...

Deep learning models require more powerful hardware, like dedicated GPUs. Time & Effort: The time required to set up a Machine learning model is less than deep learning, but its functionality is ...

As a division of machine learning, deep learning (DL) has been achieving unparalleled success in image processing and recently demonstrated huge potential for point cloud analysis. Precise ground ...