Latest Articles for CNNs

New dual-branch CNN model improves prostate zone segmentation in MRI scans.

Discover how SER enhances human-machine interactions through emotion detection.

A new system enables faster CNN training on devices with limited memory.

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

AI improves tumor classification accuracy using MRI scans and transfer learning techniques.

A look at how deep learning improves intrusion detection systems.

A new method enhances tissue density measurement using OCT images.

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

Study shows AI can enhance imaging of faint stars using wavefront sensors.

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

Combining traditional and deep learning methods enhances image processing efficiency.

This article examines how adversarial attacks alter the learned concepts of CNNs.

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

A new method enhances accuracy and speed in estimating Lipschitz constants for deep networks.

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

Research reveals benefits of square-root-free adaptive methods for training deep learning models.

A method to classify modulation in modern wireless communication systems.

New datasets enhance the capabilities of Neural Architecture Search in real-world applications.

Exploring how AI improves the study of fluid motion and simulations.

Research highlights new models for better audio quality in various environments.

Discover how deep learning is reshaping handwriting recognition across various fields.

A look into how different neural networks learn from images.

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

Using advanced models to forecast bridge scour depth for improved safety.

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

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

New method enhances shadow removal in images through deep learning and transformers.

Advanced models could help Fantasy Premier League managers make better team choices.

Anomaly detection is vital for the safety of connected and autonomous vehicles.

LHU-Net improves accuracy and efficiency in medical image segmentation, aiding healthcare professionals.

Exploring how AI is transforming video production processes for filmmakers.

This article reviews methods for improving image clarity in remote sensing applications.

A new approach merges machine learning and physics to enhance fluid predictions.

A study of how humans and computers identify objects amid uncertainty.

New model enhances predictions by blending physics knowledge with advanced learning techniques.

D-TrAttUnet improves segmentation accuracy in medical imaging tasks.

Research uses advanced CNNs to detect distracted driving, improving road safety.

MpoxSLDNet offers a promising approach for identifying monkeypox lesions accurately.

This study investigates how small changes can mislead CNNs in critical tasks.

A look at CNNs and ViTs in fashion image recognition.