But the surprises just keep coming. The mysterious entity, which was first spotted hurtling towards the Sun from far beyond in early July, has fascinated researchers ever since. As Science Alert ...
Classic fault detection and classification has some classic problems. It’s reactive, time-consuming to set up, and any product change involves significant man-hours. Even then, it still misses a lot ...
Pull requests help you collaborate on code with other people. As pull requests are created, they’ll appear here in a searchable and filterable list. To get started, you should create a pull request.
🖼️ Object detection on images using YOLOv4 and YOLOv4-Tiny with OpenCV DNN. This project demonstrates how to detect multiple objects in static images with bounding boxes and class labels. It supports ...
Physicists are exploring a quantum-mechanical approach to making smaller radio wave detectors. Physicists have created a new type of radar that could help improve underground imaging, using a cloud of ...
A burst of experimentation followed ChatGPT's release to the public in late 2022. Now many people are integrating the newest models and custom systems into what they do all day: their work. Chefs are ...
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 ...
ABSTRACT: To address the issues of missed detection and false detection during the defect inspection process of the PCB, an improved YOLOv7-based algorithm for PCB defect detection is proposed.
Integrating Pathologic Stage and Perioperative Circulating Tumor Cell Variations: Early Relapse Prediction Model for Resectable Non–Small Cell Lung Cancer All study participants simultaneously ...
Earlier this month, astronomers noticed a mysterious object speeding toward the inner solar system from outside of our star system. It’s an exceedingly rare occurrence, marking only the third ...
A bottleneck to enabling widespread access to molecular diagnostics, especially in low- and middle-income countries, has been the high cost and complex logistics associated with rapid point-of-care ...