Latest Articles for Convolutional Neural Networks

A new method enhances accuracy in medical image analysis using limited data.

This article explores predicting dynamic behaviors using machine learning and deep learning.

A method for securing images through advanced encryption techniques.

Exploring how machine learning improves analysis of the Cosmic Microwave Background.

Utilizing advanced methods to identify plant species through remote sensing data.

This article investigates how neural networks process data through their representations.

GPC offers a single model for multiple pathology classification tasks.

Discover how machine learning aids in top quark analysis.

Using deep learning to improve detection of eye conditions linked to diabetes.

A model predicts how fluids move around different shapes, improving flow analysis.

A hybrid model improves image restoration using Spiking and Convolutional Neural Networks.

Deep learning simplifies performance analysis for canoe sprinting athletes.

ConvBench offers a new way to assess convolution algorithm performance effectively.

New techniques enhance robots' location accuracy in indoor spaces using deep learning.

Research improves seizure prediction methods to enhance patient safety and quality of life.

Evaluating deep learning's role in improving climate data accuracy.

Combining wake words and speaker recognition enhances safety in voice technology.

GroupMamba enhances image processing efficiency and accuracy in computer vision tasks.

This study evaluates CNN and Modified VGG16 models on emotion recognition tasks.

A study on how CNNs recognize emotions through image analysis.

This research presents a CNN model for recognizing mathematical expressions' base and exponent from images.

Introducing a hybrid model for effective IoT intrusion detection.

Exploring new methods in medical image registration and their effectiveness.

Research shows active learning enhances AI's ability to detect eye diseases in OCTA images.

CLP transforms molecular data into strings to enhance drug discovery.

This article discusses the role of Deformable Convolutions in enhancing semantic segmentation for autonomous driving.

Innovative methods enhance website identification through network traffic analysis.

Innovative methods are developed for tracking and removing defunct satellites from orbit.

A new model improves predictions of where proteins bind, aiding drug discovery.

Learn how anomaly detection enhances safety in healthcare IoT systems.

CC-SAM enhances medical image segmentation, improving accuracy for better patient care.

A new model enhances image classification for low-power devices.

A Python package aiding efficient analysis of telescope data for researchers.

Exploring difficulties in predicting MGMT status using MRI in glioma patients.

A study reveals how AI models recognize objects using attention mechanisms.

Triangular Input Movement enhances efficiency in convolutional neural networks.

New method improves predictions in turbulent fluid dynamics using reduced complexity.

Improving fault detection and diagnostics in nuclear reactors using deep learning techniques.

A new approach to analyzing how image models withstand input changes.

Utilizing CNNs for efficient landslide identification through satellite imagery.