Latest Articles for Convolutional Neural Networks

New methods improve ECG classification accuracy through innovative data representation.

Using technology to streamline data collection in chemical studies.

A new method enhances models' performance on unseen data in computer vision.

Researchers enhance image classification accuracy using a new style augmentation technique.

DLSIA simplifies image analysis for scientists using machine learning techniques.

D-LKA Attention improves the accuracy and efficiency of medical image segmentation.

A flexible model improving fault diagnosis in electrical motors across various conditions.

Researchers use machine learning to analyze dark energy models and improve cosmological insights.

New approach enhances detection of harmful HTTP traffic.

This study presents methods for real-time pedestrian recognition using limited processing power.

Using AI to improve spike detection for better patient outcomes in brain surgery.

An analysis of CNNs and Vision Transformers for out-of-domain detection.

A new approach to object tracking with efficient transformer architecture for resource-limited devices.

A novel approach to improve security against harmful web traffic.

SDLFormer combines advanced techniques for better MRI image quality and faster processing.

Innovative deep learning models enhance DDoS attack detection and response.

New techniques enhance Vision Transformers for better performance with small datasets.

A new method improves image convolution without padding, enhancing quality and efficiency.

New model SAMUS enhances ultrasound image segmentation for improved clinical accuracy.

A novel approach improves fMRI analysis for better brain disorder diagnosis.

This article investigates gender bias in Vision Transformers compared to CNNs.

A method combining Split Learning with Homomorphic Encryption enhances privacy in machine learning.

A method enabling machine learning on encrypted data to protect user privacy.

RingMo-lite improves remote sensing image analysis with efficiency and accuracy.

AI is improving the analysis of MRI scans for prostate cancer grading.

Examining how neuromorphic computing enhances satellite communication efficiency.

This research explores deep learning techniques to improve side-channel attack defenses.

This study reveals how brain signals can recreate images seen by individuals.

Introducing GenePointNet: A new method for analyzing RNA sequencing data.

Improving drone identification with RF signals and machine learning techniques.

A semi-supervised learning framework improves medical image segmentation with limited labeled data.

This study highlights the sample complexity of Neural Policy Mirror Descent algorithms in deep learning.

DeepBEAS3D improves medical image segmentation through user interaction and deep learning.

LightTBNet is an efficient model for accurate TB detection in low-resource settings.

A study proposes an efficient way to measure fat in children using MRI.

Exploring the impact of machine learning on phase transitions in physics.

This study analyzes how deep learning models recognize facial expressions compared to humans.

Deep learning enhances accuracy in detecting colorectal cancer polyps.

This study explores issues with using convnets for audio filterbank creation.

A new method enhances detection of defects in magnetic labyrinthine structures.