THE second run of the Ateneo “Breakthroughs” public lecture series shifts from how network-driven processes define power dynamics to create a collective identity that shape communities, and how ...

Abstract: Real time object detection is a challenged task in the field of autonomous applications which is part of computer vision and plays vital role in several areas. The research in this area as a ...

1 Laboratory of Studies and Tests in Civil Engineering (L2EGC), National University of Sciences, Technologies, Engineering and Mathematics, Abomey, Benin. 2 Laboratory of Applied Energetic and ...

A complete end-to-end Multi-Object Tracking application using C++ with YOLO object detection and SORT-based tracking algorithm. mot_project/ ├── CMakeLists.txt # CMake build configuration ├── ...

ABSTRACT: A nation’s development depends in part on the quality of its road network. To this end, resources are being deployed to monitor the surface condition of our roads. Applying deep learning to ...

Personal Protective Equipment (PPE) Object Detection using YOLOv11 This project provides an advanced Personal Protective Equipment (PPE) detection system using the YOLOv11 deep learning architecture.

Abstract: This review marks the tenth anniversary of You Only Look Once (YOLO), one of the most influential frameworks in real-time object detection. Over the past decade, YOLO has evolved from a ...

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To address the issues of low detection accuracy and poor real-time performance in existing methods for detecting minor abnormalities such as cracks, oil leaks, and loose bolts in rotating industrial ...