We developed a two-stage traffic sign recognition system to enhance safety and prevent
tragic traffic incidents involving self-driving cars. In the first stage, YOLOv7 was employed as …

The morphological characteristics of tissue engineering scaffolds, such as pore and window
diameters, are crucial, as they directly impact cell-material interactions, attachment …

This paper proposes an Automated License Plate Recognition (ALPR) system using
YOLOv8 and Optical Character Recognition (OCR). This system is developed with the …

Railway systems have become an essential and growing element for freight transport sector
due to the low levels of pollution it offers compared to other alternatives. However, they have …

In this paper, we propose an end-to-end approach to performing multi-class, real-time
detection, prior to the specific classes of motorcycles, helmets, and license plates in traffic …

The long-standing practice of document-based engineering has resulted in the
accumulation of a large number of engineering documents across various industries …

License plate recognition (LPR) involves automated systems that utilize cameras and
computer vision to read vehicle license plates. Such plates collected through LPR can then …

Human-computer interaction (HCI) has evolved significantly, yet it still largely depends on
visual communication through screens and manual input devices. While this paradigm is …

This paper presents a resume-ranking web application that improves recruitment through
advanced deep-learning techniques. The system uses the YOLOv9 model fine-tuned with …