Latest Articles for Convolutional Neural Networks

Researchers enhance heart sound classification accuracy using codec data augmentation methods.

A novel approach enhances downscaling of weather data for better local forecasts.

Revolutionizing communication in deep learning through clear visual representations.

BEFUnet improves accuracy in medical image segmentation by combining CNNs and transformers.

This study uses machine learning to forecast flame dynamics effectively.

Exploring the integration of digital twins and IoBNT in biotechnology.

Research highlights methods to predict ATP binding sites in proteins for drug development.

A look at how deep learning improves intrusion detection systems.

A new method to evaluate network strength against attacks.

New deep learning model enhances organ segmentation accuracy in medical imaging.

This study develops a model to identify retinal diseases using Brazilian imaging data.

Introducing a way to estimate CNN learning without validation data.

New training techniques improve imaging of biological structures using SMLM.

Researchers use machine learning to analyze cancer cells and improve treatment strategies.

A new model improves chest X-ray classification for lung diseases.

New methods improve cancer detection using AI without needing extensive labeled data.

MolNexTR improves recognition of chemical structures from images with advanced techniques.

Understanding model robustness is key for real-world applications in various fields.

A new method enhances panoptic segmentation by integrating depth data.

New dataset aims to improve CAD diagnosis accuracy.

Combining traditional and deep learning methods enhances image processing efficiency.

Discover the latest methods in retinal image registration to improve diagnosis.

Optimizing CNN performance on FPGAs through memory management techniques.

Deep learning techniques enhance the quality of CBCT images by reducing artifacts.

A new method uses reinforcement learning to prune CNNs while training.

New model improves robotic fruit harvesting accuracy using 3D point cloud data.

This article discusses a system for detecting game states in Foosball.

New methods improve writer identification with limited handwriting samples using AI.

CNNs show promise in extracting cosmological parameters from weak lensing data.

A look into how different neural networks learn from images.

This research focuses on detecting porosity in additive manufacturing with thermal images and AI.

Discover the latest methods and challenges in hyperspectral image classification.

Artificial intelligence enhances the analysis of particle collisions and jets in HEP.

New model emoDARTS improves accuracy in recognizing speech emotions using deep learning.

Deep learning models enhance stroke segmentation accuracy for better patient outcomes.

Robots can enhance navigation by classifying different terrains in challenging environments.

A new semi-supervised approach enhances table detection in document images.

A new method enhances understanding of CNN predictions through concepts and relationships.

A new method improves diagnosis accuracy in medical imaging using focused learning.

This model improves accuracy in classifying diverse IoT sensor data.