IEEE

Beyond Random Forests: A Hybrid CNN-Transformer Framework for Improved Huntington's Disease Severity Prediction Using Multi-Omics Data

Abstract: Huntington’s disease progression prediction requires analyzing complex interactions between Cytosine, Adenine, Guanine (CAG) repeat expansions and various modifying factors. We present ...
IEEE

BreNet: Attention-Enhanced Multi-Scale CNN Framework for Breast Cancer Classification in Histopathological Images

Abstract: Breast cancer remains a leading cause of mortality among women worldwide, emphasizing the critical importance of early and accurate detection in improving patient outcomes and treatment ...
IEEE

Deep Learning for Multi-Class DDoS Detection in SDNs: A CNN-LSTM Based Approach

Abstract: Recently Distributed Denial of Service (DDoS) attacks have increased extensively, taking about 35% of all cyber threats among which the attack characteristic rises around 300% within the ...
IEEE

EEG-MCLANet: A Multi-Branch CNN-LSTM Network for Motor Imagery EEG Decoding

Abstract: The electroencephalogram (EEG) is a type of physiological signal characterized by high complexity and susceptibility to interference, making it difficult to fully capture its dynamic ...