6 citations · 6 across the 3 of their papers we have counts for
3 papers
stat.ME2024
Adaptive Physics-Guided Neural Network
David Shulman, Itai Dattner
This paper introduces an adaptive physics-guided neural network (APGNN) framework for predicting quality attributes from image data by integrating physical laws into deep learning…
physics.ed-ph2023
An Innovative Method for Measuring Instrument Data Acquisition using Image Processing Techniques
David Shulman
Measuring instruments are vital for obtaining accurate data in various fields, including scientific research, engineering, and manufacturing. However, data acquisition can be chall…
cs.LG2023★ 6 cited
Optimization Methods in Deep Learning: A Comprehensive Overview
David Shulman
In recent years, deep learning has achieved remarkable success in various fields such as image recognition, natural language processing, and speech recognition. The effectiveness o…