Latest Articles for CNNs

Researchers leverage deep learning to spot differences between male and female birds.

LiPCoT transforms time series data for language model applications.

This article discusses using machine learning to improve image quality in CT scans.

Utilizing deep learning to improve early detection of oral squamous cell carcinoma.

BBATProt uses deep learning to improve protein function prediction accuracy.

This article examines advancements in eye-tracking using EEG and deep learning techniques.

New model improves accuracy in skin lesion segmentation for early cancer detection.

New model significantly improves accuracy in cervical cancer image classification.

Streamline your CNN deployment using FPGA technology for better performance.

Discover how EUIS-Net improves breast ultrasound image segmentation for better cancer detection.

A new dataset aims to improve Bangla Sign Language recognition using advanced technology.

AI methods are changing how scientists predict molecular properties for various applications.

An overview of Tamil's rich dialects and identification methods.

Exploring the impact of transformer models in radiology report creation.

Deep learning models like U-Net are reshaping cell segmentation in microscopy images.

AI systems enhance mammogram accuracy and trust through effective interpretability techniques.

A new dataset enhances sonar imaging for underwater object recognition.

Introducing LoG-VMamba for enhanced medical image segmentation.

ResEmoteNet improves how machines read facial expressions for various applications.

Examining how deep learning improves earthquake prediction accuracy.

Introducing LSSF-Net, a lightweight model for accurate skin lesion segmentation.

TBConvL-Net improves accuracy and efficiency in medical image segmentation.

K-Origins improves color assessment in neural networks for enhanced image analysis.

New dataset and model improve object detection in indoor environments.

MobileUNETR offers improved skin cancer detection through advanced image segmentation.

This project explores AI methods for more efficient garbage classification.

New method improves fluid flow modeling with limited and noisy measurements.

A method improving CNN focus on key image areas for better decision-making.

GRAND project focuses on detecting air showers from high-energy neutrinos using autonomous triggers.

Exploring methods to improve image quality affected by atmospheric turbulence.

A new method for training CNNs directly on mobile and edge devices.

A novel framework enhances ultrasound imaging accuracy during labor monitoring.

A practical method for detecting violence in public spaces using advanced video analysis.

A system using deep learning to detect violent acts in video footage.

A new CNN method improves ground-roll noise separation in seismic data processing.

A look at training efficiency in CNNs and BCNNs using MNIST and CIFAR-10.

New machine learning architecture improves hyperspectral image analysis and material classification.

Exploring deep learning techniques for continuous time series data analysis.

Study reveals potential in reducing event data for better efficiency.

A new method enhances image clarity and recognition in noisy environments.