IEEE

Enhanced Hybrid Intrusion Detection System using PSO-Optimized CNN Architecture

Abstract: Cyberattacks have grown into enduring threats, demanding advanced measures to secure vital data and systems. Although firewalls provide basic traffic filtering, they often fall short against ...
IEEE

Real-Time Monitoring and Voltage Prediction of Contaminated High-Voltage Insulators Via Cnn-Ann Hybrid Architecture

Abstract: This paper presents the research and development of a predictive model for discharge voltage on high-voltage insulator surfaces, utilizing a hybrid architecture combining Convolutional ...
IEEE

Hand-crafted Vs. deep CNN features to distinguish benign from malignant lesions in breast ultrasound images

Abstract: Breast ultrasound imaging (BUS) plays a major role in the diagnosis of breast cancer. Consequently, computerised analysis of BUS images is being intensively investigated as a means to assist ...
IEEE

Deep Learning for Skin Cancer Detection: Multi-Class Lesion Classification Using CNN Architecture

Abstract: Skin cancer ranks among ubiquitous malignancies, its prevalence escalating due to ecological shifts and protracted ultraviolet (UV)exposure. This study aims to address the pressing need for ...
IEEE

A Hybrid CNN-Transformer Architecture for Vision-Based EEG State Classification

Abstract: This paper presents a comparative analysis of deep learning architectures for electroencephalogram (EEG) signal classification, focusing on the detection of eyes open/closed states. We ...
IEEE

Transblast-Net: Semantic Segmentation of Human Blastocyst Components with Composed CNN and Transformer Architecture

Abstract: In robotic-assisted reproductive technologies, the precise morphological analysis of the components of human blastocysts is critical for the automated evaluation of the quality of embryos.
Frontiers

Advances in machine and deep learning for ECG beat classification: a systematic review

The electrocardiogram (ECG) is an important tool for exploring the structure and function of the heart due to its low cost, ease of use, efficiency, and non-invasive nature. With the rapid development ...