IEEE

A Position- and Scale-Aware Object-Agent Classifier via Deep Reinforcement Learning for Remote Sensing Imagery

Abstract: Deep object classification is an effective method for land-cover classification in remote sensing images, requiring fewer samples and achieving clearer classification boundaries. However, ...
GitHub

What is Deep Learning?

Deep learning is a subset of machine learning that uses multi-layer neural networks to find patterns in complex, unstructured data like images, text, and audio. What sets deep learning apart is its ...
WAGMTV

Hackers praise Hamas, use profanity against Trump, Netanyahu over airport public address systems

(CNN) - Hackers appear to have breached the public address systems at four airports in North America on Tuesday. Travelers heard unauthorized messages with expletives that praised Hamas and attacked ...
Frontiers

Enhancing head and neck cancer detection accuracy in digitized whole-slide histology with the HNSC-classifier: a deep learning approach

All WSIs were available at level 0 resolution (×40 magnification, approximately 0.25 μm/pixel), which was used for tile extraction to ensure consistent high-resolution analysis across all samples. We ...
IEEE

ECGNet: High-Precision ECG Classification Using Deep Learning and Advanced Activation Functions

Abstract: The electrocardiogram (ECG) is an important tool in diagnosing heart diseases. In this study, we introduce ECGNet a customized deep learning model that utilizes advanced activation functions ...
Frontiers

Deep learning-based classification of multiple fundus diseases using ultra-widefield images

This study aimed to develop a hybrid deep learning model for classifying multiple fundus diseases using ultra-widefield (UWF) images, thereby improving diagnostic efficiency and accuracy while ...