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.
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 ...
Frontiers

A hybrid framework for enhanced segmentation and classification of colorectal cancer histopathology

Department of Mathematics, School of Advanced Sciences, Vellore Institute of Technology, Vellore, India Introduction: Colorectal cancer (CRC) remains one of the leading causes of cancer-related deaths ...
IEEE

Image Classification using Quantum Convolutional Neural Network (QCNN)

Abstract: Convolutional Neural Networks (CNNs) are extensively utilized for image classification due to their ability to exploit data correlations effectively. However, traditional CNNs encounter ...
IEEE

Visual Malware Classification Using a CNN

Abstract: Malware classification m ethods a re o ften costly, requiring constant retraining and large amounts of computing power in order to support large models that analyze software in numerous ways ...
IEEE

Efficient Brain Tumor Classification Using CNN with Self-Attention Mechanisms

Abstract: Brain tumors are difficult to diagnose and can be fatal; thus, accurate and effective methods are badly needed. To overcome several difficulties in this sector, novel methods for brain tumor ...