IEEE

Optimized Input for CNN-Based Hyperspectral Image Classification Using Spatial Transformer Network

Abstract: Deep learning-based methods, especially deep convolutional neural networks (CNNs), have shown their effectiveness for hyperspectral image (HSI) classification. In previous deep CNN-based HSI ...
IEEE

HybridSN: Exploring 3-D–2-D CNN Feature Hierarchy for Hyperspectral Image Classification

Abstract: Hyperspectral image (HSI) classification is widely used for the analysis of remotely sensed images. Hyperspectral imagery includes varying bands of images. Convolutional neural network (CNN) ...
GitHub

Breast Cancer Histopathology Classification

This project focuses on classifying breast cancer histopathology images into two classes: benign and malignant. The main problem is that breast cancer diagnosis from histopathology images requires ...

Eating More Ultra-Processed Foods May Raise Dementia Risk by 58%, Harvard Study Finds

The new study joins a growing body of evidence that warns of the health risks of ultra-processed foods.

Pakistan ends ‘period tax’ after years of activism and court battles: What changed?

Pakistan has abolished the 18 per cent sales tax on menstrual hygiene products and contraceptives, following sustained legal ...
Aerospace and Mechanical Insider on MSN

Advancing robotic systems for complex food handling

Automation in the food industry has accelerated in recent years, driven by demographic shifts, labor shortages, and ...
GitHub

Malware Classification Using Convolutional Neural Networks

This repository presents an image-based malware classification system developed. The proposed approach transforms malware binaries into grayscale images and applies Convolutional Neural Networks (CNNs ...
The Tech Edvocate

How to create neural network

Spread the love“`html Understanding how to create a neural network can be a game-changer in the fields of artificial intelligence and machine learning. As industries increasingly rely on data-driven ...
Nature

A comparative analysis of deep learning models for disease classification in multi-organ histopathological images

We are providing an unedited version of this manuscript to give early access to its findings. Before final publication, the manuscript will undergo further editing. Please note there may be errors ...
Nature

Learning continuous activation fields from microscopic SEM images of lycoperdioid fungi via CNN-guided neural operator modeling

We are providing an unedited version of this manuscript to give early access to its findings. Before final publication, the manuscript will undergo further editing. Please note there may be errors ...

Inside Hegseth’s Pentagon, where distrust and suspicions of loyalty are rampant

Nearly from the beginning of his tenure, multiple sources said, Pete Hegseth has been distrustful of officials around him — civilian and military alike — and suspicious about their loyalties.

UAE Becomes The Latest To Ban Social Media For Children: Why Global Crackdown Is Growing

The UAE has become the first Arab country to impose a social media ban for children, barring under-15s from creating or using ...