The system uses a machine learning technique called attention-based map encoding, trained through reinforcement learning.

Senceive explores the challenges of unstable landscapes and how its remote condition monitoring can improve safety and reduce disruption.

In recent years, the monitoring systems play significant roles in our life. So, in this paper, we propose an automatic weather monitoring system that allows having dynamic and real-time climate data ...

This project involves building an Arduino-based auto-driving car that utilizes ultrasonic sensors to detect obstacles and make decisions on movement.

Additionally, our RT-DETR-Pro model achieves 144 FPS in inference, meeting the requirements of both accuracy and real-time performance for industrial PV module quality inspection. The proposed method ...