MGFEEN: a multi-granularity feature encoding ensemble network for remote sensing image classification

M Jean Bosco, R Jean Pierre, MSA Muthanna… - Neural Computing and …, 2024 - Springer
Deep convolutional neural networks (DCNNs) have emerged as powerful tools in diverse
remote sensing domains, but their optimization remains challenging due to their complex …

Pneumonia detection using CNN and ANN based on deep learning approach

P Bhartiya, S Yadav, A Gupta… - … for healthcare: internet of …, 2021 - Wiley Online Library
Pneumonia is a sort of disease that is caused by microscopic organisms, infections in our
one or both lungs. The organisms that are answerable for pneumonia are transmittable that …

Predicting chronic kidney disease using machine learning

M Gupta, P Gupta - … for Healthcare: Internet of Things and Deep …, 2021 - Wiley Online Library
The kidney is a vital organ of the body. The function of kidney is to filter the blood in the
body. When the kidneys filter blood, urine is made from excess and excess fluid in the body …

A Study of Deep Learning Methods for Automatic Cancer Detection and Classification in Histopathological Whole-Slide Images

JA Wani, N Sharma, M Rakhra, A Singh… - Big Data Analytics in …, 2023 - Springer
Histopathological examination is the diagnostic and research of tissue disorders. An
integrated suite of histopathological samples has greatly aided doctors and researchers in …

Residual Neural Network in Genomics

S Sabba, M Smara, M Benhacine, L Terra… - … Science Journal of …, 2022 - ibn.idsi.md
Residual neural network (ResNet) is a Deep Learning model introduced by He et al. in 2015
to enhance traditional convolutional neural networks proposed to solve computer vision …

Lung Cancer Detection Using 3D CNN Based on Deep Learning

S Panda, V Chhetri, VK Jaiswal… - … for Healthcare: Internet …, 2021 - Wiley Online Library
Lung cancer is perhaps the most common cause of cancer death across the globe,
responsible for about 25% of the overall deaths from cancer. According to stats, it accounts …

Diabetes Prediction Model Based on Machine Learning

AK Gupta, S Yadav, P Bhartiya… - … for Healthcare: Internet of …, 2021 - Wiley Online Library
Diabetes is one of the major health issues these days. Around 346 million people from the
entire world are facing this disease. Diabetes is the disease in which glucose in the blood …

[PDF][PDF] Multi-granularity Feature Encoding Ensemble Network for Improved Remote Sensing Image Classification

MJ Bosco, RJ Pierre, MSA Muthanna, KJ Pierre… - academia.edu
Deep Convolutional Neural Networks (DCNNs) have emerged as potent tools in diverse
remote sensing domains, yet their optimization remains intricate due to their intricate nature …

Diagnosis of Diabetes Types-2 Mellitus Based on Machine Learning Techniques

S Tripathi, HO Sharan - … for Societal Development and Global Well …, 2022 - igi-global.com
Diabetes Type-2 is one of the significant medical problems nowadays. Diabetes Type-2 is
no longer only a disease of the wealthy; its prevalence is rapidly rising everywhere …