PepGen leverages a graph-based approach to improve the detection of hidden protein variants in a computationally efficient ...

Edge AI represents the convergence of AI and edge computing, enabling AI algorithms to run directly on local devices rather ...

The U.S. Embassy has provided state-of-the-art radiation and chemical detection equipment valued at $1 million (299 million LKR) to the Navy, significantly boosting the country’s capacity to detect ...

Back in 2022, we first saw STMicro launch the VL53L5CP ToF presence detection sensor for the PC market with features like ...

computer vision algorithms for edge detection in images: canny.cpp: canny edge detection; hysteresis.cpp: hysteresis edge tracking (+added command line arguments for easier useability) ...

For single edge detection methods causing important and weak gradient change edge missing problems, this paper adopts the method of combining global with local edge detection to extract edge. The ...

Edge detection is widely used in image analysis and processing. The traditional edge-detection algorithms are always ineffective to underwater images due to the absorption and scattering nature of ...

This project implements a deep learning-based dual-head convolutional neural network (CNN) architecture for simultaneous edge and corner detection from a single high-resolution image. The method ...