leewayhertz

Vision Transformer Model: Architecture, development and applications

In recent years, deep learning has profoundly impacted computer vision and image processing, bringing about significant advancements and changes. Convolutional neural networks (CNNs) have been the ...
IEEE

Power Quality Disturbances Detection and Classification Based on Deep Convolution Auto-Encoder Networks

Abstract: Power quality issues are required to be addressed properly in forthcoming era of smart meters, smart grids and increase in renewable energy integration. In this paper, Deep Auto-encoder (DAE ...
Scientific Research Publishing

Extra Trees Model for Heart Disease Prediction ()

1 Computer Science Department, Babcock University, Ilishan-Remo, Ogun State, Nigeria. 2 Computer Science Department, Adeleke University, Ede, Osun State, Nigeria. 3 Department of Applied Mathematics, ...
Frontiers

Supervised machine learning models for depression sentiment analysis

Globally, the prevalence of mental health problems, especially depression, is at an all-time high. The objective of this study is to utilize machine learning models and sentiment analysis techniques ...
IEEE

Biomedical Image Classification Using Convolutional Neural Networks

Abstract: Recent research trends in the field image processing have focussed on challenges and few techniques for processing and classification tasks related to it. Image classification aims at ...
Frontiers

Unsupervised domain adaptation methods for cross-species transfer of regulatory code signals

Due to advances in NGS technologies whole-genome maps of various functional genomic elements were generated for a dozen of species, however experiments are still expensive and are not available for ...
GitHub

dimkastan/sift-cnn-all-sky-images

This repo implements the following paper: Tsourounis, D.; Kastaniotis, D.; Theoharatos, C.; Kazantzidis, A.; Economou, G. SIFT-CNN: When Convolutional Neural Networks ...