BIOENGINEER

Benchmarking Deep Transfer Learning Models for COVID-19 Lung Ultrasound Detection

A systematic benchmarking study demonstrates that DenseNet-121 paired with the Adam optimizer achieves exceptional diagnostic ...
Nature

Optimization Techniques in Deep Learning articles from across Nature Portfolio

The Caputo–Fabrizio fractional derivative in a fractional gradient descent (FGD) method is used in this paper to present a novel optimization framework for neural networks. The suggested approach ...
BIOENGINEER

Machine Learning Model Predicts Rockburst Intensity in Deep Underground Engineering

An interpretable machine learning framework combining Schrödinger optimization and SHAP analysis improved four-class ...
Semiconductor Engineering

DNN-Opt, A Novel Deep Neural Network (DNN) Based Black-Box Optimization Framework For Analog Sizing

This technical paper titled “DNN-Opt: An RL Inspired Optimization for Analog Circuit Sizing using Deep Neural Networks” is co-authored from researchers at The University of Texas at Austin, Intel, ...