GitHub

Medical Image Classification for Disease Diagnosis Using Convolutional Neural Networks

The project titled "Medical Image Classification for Disease Diagnosis Using Convolutional Neural Networks" aims to develop a robust and accurate machine learning model for the automatic ...
IEEE

Semisupervised Deep Convolutional Neural Networks Using Pseudo Labels for PolSAR Image Classification

Abstract: Deep-learning-based methods have obtained satisfying results in polarimetric synthetic aperture radar (PolSAR) image classification. However, these methods require large numbers of labeled ...
AOL

Wall St’s TACO tariff code is good for Trump, ‘If he can take the win,’ ex-staffer reveals to CNN

While Wall Street’s “TACO trade” strategy has riled President Donald Trump, his former White House staffer argues it might actually be a “win” for the president. In the wake of Trump’s tariff ...
IEEE

CTF-SSCL: CNN-Transformer for Few-Shot Hyperspectral Image Classification Assisted by Semisupervised Contrastive Learning

Abstract: Few-shot learning (FSL) has rapidly advanced in the hyperspectral image classification (HSIC), potentially reducing the need for laborious and expensive labeled data collection. Due to the ...
GitHub

binary-image-classification

This repository contains code for a binary image classification model to detect pneumothorax using the ResNet-50 V2 architecture. It includes essential steps such as dataset splitting, image ...
Europe PMC

Automated Battery Making Fault Classification Using Over-Sampled Image Data CNN Features.

Automated Battery Making Fault Classification Using Over-Sampled Image Data CNN Features Nasir Ud Din, Li Zhang, Writing – review & editing, and Yatao Yang, Resources, Supervision* ...
CNN

CNN Terms of Use

These Terms of Use describe the terms and conditions that govern your use of the following CNN online and mobile websites, platforms, services, applications, and ...
Frontiers

Attention-Based Recurrent Neural Network for Plant Disease Classification

Plant diseases have a significant impact on global food security and the world's agricultural economy. Their early detection and classification increase the chances of setting up effective control ...