Learn about the methodology and tools for AI-driven arc fault detection to create real-time classification on MCUs, improving ...

Clawdbot module for statistical edge detection on Polymarket. Scans all markets for odds mispricing, volume divergence, and liquidity imbalance. Enters automatically when combined edge score exceeds ...

Earnings announcements are one of the few scheduled events that consistently move markets. Prices react not just to the reported numbers, but to how those numbers compare with expectations. A small ...

ABSTRACT: Traffic monitoring plays a vital role in smart city infrastructure, road safety, and urban planning. Traditional detection systems, including earlier deep learning models, often struggle ...

Abstract: Edge detection in images is the foundation of many complex tasks in computer graphics. Due to the feature loss caused by multi-layer convolution and pooling architectures, learning-based ...

We have implemented a hardware-accelerated image filtering system using a ZedBoard Zynq-7000. It supports five image filtering namely- Box Blur, Edge Detection, Unsharp Masking, High Pass Filter and ...

Abstract: This paper gives insight about the implementation of brain tumor detection through deep learning using convolution neural networks (CNN). It deeply explain each and every steps needed to ...