The era of predictive modeling enhanced with machine learning and artificial intelligence (AI) to aid clinical ...

To this end, we present an efficient in-memory convolutional neural network (CNN) accelerator optimized for use with racetrack memory. We design a series of fundamental arithmetic circuits as ...

Background Accurate pre-ablation differentiation between left (LVOT) and right (RVOT) ventricular outflow tract arrhythmias (OTVAs) using ECG algorithms is essential for decision on vascular access ...

Real time, webcam based, driver attention state detection and monitoring using Python with OpenCV and a custom resnet50 facial keypoint detection model. Note: This work is partially based on this ...

Traditional manual detection of rural road surface distress is time-consuming and labor-intensive. In this paper, we propose a Mask R-CNN algorithm specifically designed for detecting rural road ...

drivebuddyAI announces a patent for its CARD algorithm, revolutionizing driver safety with AI, computer vision, and real-time vehicle monitoring. This innovative system assesses driver behavior and ...

We conclude that CQ-CNN architecture-like models, with further improvements in gradient optimization techniques, could become a viable option and even a potential alternative to classical models for ...

For the first time, this paper employs an algorithm-hardware co-design methodology to accelerate KAN. The proposed algorithm-level techniques include Alignment-Symmetry and PowerGap KAN hardware aware ...

Recently, the convolutional neural network (CNN)-based approach for on-satellite ship detection in synthetic aperture radar (SAR) images has received increasing attention since it does not rely on ...