Frontiers

Novel deep learning for multi-class classification of Alzheimer’s in disability using MRI datasets

Introduction: Alzheimer’s disease (AD) is one of the most common neurodegenerative disabilities that often leads to memory loss, confusion, difficulty in language and trouble with motor coordination.
IEEE

Modeling and Online SOC Estimation Method Using Back Propagation Neural Network with Momentum Gradient Descent Algorithm of Batteries

Abstract: To improve the estimation accuracy of the state of charge (SOC) in power batteries for electric vehicles, this study proposes a novel modeling and online SOC estimation method using Back ...
EurekAlert!

Reconstructing cities in 3D: A smarter SAR imaging method

A new urban 3D reconstruction method enhances Tomographic Synthetic Aperture Radar (TomoSAR) imaging using geometric semantics. By incorporating building structures into a Bayesian framework, the ...
Frontiers

Expectation-maximization alternating least squares for tensor network logistic regression

1 Department of Computer Science, Nagoya Institute of Technology, Aichi, Japan 2 RIKEN Center for Advanced Intelligence Project, Tokyo, Japan In recent years, a learning method for classifiers using ...
Scientific Research Publishing

Singh, A., Kushwaha, S., Alarfaj, M. and Singh, M. (2022) Comprehensive Overview of Backpropagation Algorithm for Digital Image Denoising. Electronics, 11, Article 1590.

ABSTRACT: The glycemic index (GI) is a qualitative indicator of the glycemic response of a carbohydrate food. Its variability is due to the composition of the food, which in turn is related to the ...