IEEE

Coronary Heart Disease Prediction Using CNN, RNN, LSTM and Attention DNN Model

Abstract: Coronary Heart Disease popularly referred to as CHD is one of the leading causes of death and illness across the global population making it imperative for the identification of an effective ...
IEEE

Mask augmented Object-Centric Contrastive Learning for Amodal Instance Segmentation

Abstract: Human cognition is robust in estimating depth ordering and occluded regions of objects, including amodal instance segmentation (AIS). Object-centric representation learning (OCRL) is an ...
IEEE

MCBTNet: Multi-Feature Fusion CNN and Bi- Level Routing Attention Transformer-Based Medical Image Segmentation Network

Abstract: Accurate medical image segmentation is crucial for precise diagnosis and treatment in clinical pathology analysis and surgical navigation. While Convolutional Neural Network (CNN)-based ...
IEEE

Enhancing IIoT Security Using Hybrid CNN-BiLSTM Models with Blockchain Integration

Abstract: In the rapidly evolving Industrial Internet of Things (IIoT) landscape, ensuring robust security measures for detecting and mitigating cyber threats is paramount. This paper suggests a ...