Meet BCECNN: The AI that detects breast cancer and explains its logic

Researchers in Turkey have developed BCECNN, an AI model that detects breast cancer with 98.75% accuracy and explains its ...
IEEE

A Novel EEG-based Hypergraph Convolution Network for depression detection: Incorporating Unified Brain Network and Multi-segment spatiotemporal EEG features

Abstract: Detecting depression from Electroencephalography (EEG) signals remains a challenging task due to the complexity of brain networks and the significant individual differences in neural ...
IEEE

Efficient Group Cosine Convolutional Neural Network for EEG-Based Seizure Identification

Abstract: Epilepsy is a common neurological disease, and its diagnosis usually depends on labor-intensive visual inspection of electroencephalogram (EEG). Although various deep learning-based seizure ...

Xuanrui Zhang Advances Financial Security Through Real-Time Machine Learning and Graph-Based Fraud Detection

A new framework integrates graph databases with real-time machine learning to enhance fraud detection and risk control in digital finance. By ...