Scientist turns people’s mental images into text using ‘mind-captioning’ technology

A scientist in Japan has developed a technique that uses brain scans and artificial intelligence to turn a person’s mental ...
Scientific Research Publishing

Dual-Dilated Large Kernel Convolution for Visual Attention Network ()

Cheung, K. , Siu, Y. and Chan, K. (2025) Dual-Dilated Large Kernel Convolution for Visual Attention Network. Intelligent ...
GitHub

Pull requests: GhadaRIDENE/Image-classification-using-CNN-and-FCN

Pull requests help you collaborate on code with other people. As pull requests are created, they’ll appear here in a searchable and filterable list. To get started, you should create a pull request.
Frontiers

CerevianNet: Parameter Efficient Multiclass Brain Tumor Classification Using Custom Lightweight CNN

The final, formatted version of the article will be published soon. Brain tumors are a life-threatening condition, and their early detection is crucial for effective treatment and improved survival ...
IEEE

Hybrid CNN-LSTM Networks for Enhanced Lung Cancer Detection and Classification from CT Images

Abstract: In this paper, a hybrid deep learning model based on Convolutional Neural Networks (CNNs) and Long Short-Term Memory (LSTM) networks are introduced for the automated detection of lung cancer ...
Local News 8

Ukraine says it killed Russian officer in Siberia using car bomb

(CNN) — Ukraine said Wednesday it had assassinated a Russian officer responsible for war crimes, targeting him with a car bomb inside Russia. Veniamin Mazzherin, who died at the weekend, was the ...
GitHub

Pull requests: eirenemichellatjhan/Pharmaceutical-Drug-Image-Classification-using-CNN-and-Transfer-Learning_Deep-Learning

Pull requests help you collaborate on code with other people. As pull requests are created, they’ll appear here in a searchable and filterable list. To get started, you should create a pull request.
IEEE

Breast Cancer Cell Classification Using CNN

Abstract: Medical imaging systems, especially those employing fine X-ray mechanisms, are vital for generating ultrasound images used in disease screening and diagnosis; however, these images often ...
IEEE

Deep Learning Based - Brain Stroke Detection System on CT Images using CNN and Federated Learning (CNN-FL)

Abstract: Brain Stroke is one of the leading causes of death and long-term disability worldwide, with early detection being crucial for successful intervention and treatment. The use of deep learning ...
IEEE

Threshold-free Event Detection for Nonintrusive Load Monitoring using Motif Difference Field Images and Convolutional Neural Networks

Abstract: Event detection is a critical process in non-intrusive load monitoring (NILM). Accurate detection enhances subsequent load identification and facilitates a prompt understanding of the system ...
IEEE

Optimizing XGBoost Hyperparameters for Credit Scoring Classification Using Weighted Cognitive Avoidance Particle Swarm

Abstract: Decision trees in machine learning achieved satisfactory performance in classification. Decision trees offer the advantage of handling high-dimensional and complexly correlated data through ...
IEEE

Texture- and Symptom-Based Coffee Leaf Disease Classification Using CNN and ResNet algorithms

Abstract: This work aims to improve plant disease prediction through the implementation of an intriguing and revolutionary model that combines refined algorithms for machine learning with predictive ...