GitHub

Through-the-Wall Radar Human Activity Recognition WITHOUT Using Neural Networks

This paper is dedicated to the memory of my grandma. This is probably the only paper in my life that was written in a hospital the entire time. This is also at the same time the very first work in my ...
IEEE

Machine Learning-Assisted Analysis of Electrochemical Biosensors

Abstract: Machine learning (ML) is effective at handling multiparameter and nonlinear problems owing to its self-learning ability. ML is used in biosensors to predict the species or concentration of ...

Cleve Moler, Who Unlocked the Power of Computing for Millions, Dies at 86

He built interfaces that allowed engineers, scientists and everyday people to solve difficult problems without having to ...
IEEE

A Disjoint Samples-Based 3D-CNN With Active Transfer Learning for Hyperspectral Image Classification

Abstract: Convolutional neural networks (CNNs) have been extensively studied for hyperspectral image classification (HSIC). However, CNNs are critically attributed to a large number of labeled ...
Neurology Advisor

Multimodal Deep Learning Model Improves CT-Based Alzheimer Disease Classification

A multimodal deep learning framework trained on paired CT and MRI data demonstrated improved diagnostic accuracy when classifying patients with Alzheimer disease, mild cognitive impairment, or normal ...
GitHub

matlab-deep-learning/SciML-and-Physics-Informed-Machine-Learning-Examples

Customer stories Events & webinars Ebooks & reports Business insights GitHub Skills ...