GPU-accelerated Canny edge detector in CUDA C++. Parallelizes Gaussian filtering, gradient computation, non-maximum suppression, and hysteresis thresholding for real-time edge detection performance ...

Spiking Neural Networks (SNNs), inspired by neuroscience principles, have gained attention for their energy efficiency. However, directly trained SNNs lag behind Artificial Neural Networks (ANNs) in ...

has been cited by the following article: TITLE: Optimizing Lung Cancer Detection in CT Imaging: A Wavelet Multi-Layer Perceptron (WMLP) Approach Enhanced by Dragonfly Algorithm (DA) ...

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 with ...

Introduction: Accurate vehicle analysis from aerial imagery has become increasingly vital for emerging technologies and public service applications such as intelligent traffic management, urban ...

Explanation and code for each step of the algorithm Visual outputs at every stage A comparison between my implementation and OpenCV's built-in Canny function [1 ...

Abstract: Object detection and tracking play an important role in autonomous vehicle systems. In the past few years, object detection using deep learning from images has become a center of attention.

An illustration of a magnifying glass. An illustration of a magnifying glass.