Search academic resources

Abstract Unlike many other fields of object detection, underwater object detection presents some unique challenges. Underwater object detection is a key technology that enables underwater robots to explore aquatic enviro...

In the domain of deep learning-driven computer vision, YOLO is revolutionary. However, not all YOLO models are accompanied by academic articles and architectural diagrams. It complicates the comprehension of the model's ...

We introduce YOLO9000, a state-of-the-art, real-time object detection system that can detect over 9000 object categories. First we propose various improvements to the YOLO detection method, both novel and drawn from prio...

Real-time object detection is one of the most important research topics in computer vision. As new approaches regarding architecture optimization and training optimization are continually being developed, we have found t...

"Yólotl González Torres es maestra emérita del Instituto Nacional de antropología e Historia. Su obra es referente obligado de lectura. En este volumen que le rinde homenaje, los académicos que participan presentan ...

Abstract In the power operation scenarios, there are problems such as large differences in target scales, small targets susceptible to occlusion, and limited computational resources for edge devices. This leads to insuff...

Maritime Search and Rescue (SAR) operations face three main issues: they are time-critical, rescue boat access is often difficult, and the vastness of the ocean poses a great challenge to identifying drowning victims. Re...

Classifying the sweetness level of pineapples is an important part of quality control, but existing methods still face issues of subjectivity and require destructive testing. Manual assessment is often inconsistent, whil...

As chicken meat production increases in Padang City, farmers face serious threats from predators and intruders that cause significant losses. Current solutions, such as PIR motion detectors, have the disadvantage of no...

The Indonesian Sign Language System (SIBI) is the officially recognized communication medium for deaf communities in Indonesia, yet its limited public use continues to create barriers in education, healthcare, and public...

Abstract Chronic wound analysis is crucial for effective wound care, necessitating precise and efficient segmentation techniques. This study explores the use of YOLOv8 and YOLO11, renowned deep learning algorithms for ob...

To address issues such as missed detections and false positives in safety equipment wear detection tasks caused by complex backgrounds, severe occlusions, and small target sizes, as well as frequent ID switching and low ...

Drowsiness poses significant risks in safety-critical activities such as driving, industrial operations, and online learning. While advanced deep learning models (e.g., CNN-LSTM hybrids) achieve high accuracy in driver d...

Button batteries, which serve as essential power sources in consumer electronics, are susceptible to various manufacturing defects that pose potential safety risks. This study proposes LMG-YOLO, an enhanced algorithm bas...

Abstract GIS (Gas-insulated switchgear) is a critical component of modern power grids, and accurate awareness of its internal insulation condition is essential to power system safety. PD (Partial Discharge) is a key indi...

Abstract To address the challenge of abnormal tobacco shred detection in cigarette production lines, this study proposes an improved lightweight YOLOv8-based model that balances model efficiency and detection accuracy. F...

Understanding the history of a nation is very important. Inscriptions are an important historical relic for the nation. Inscriptions provide information and learning for future generations. Inscriptions are usually made ...

Early detection of Ganoderma boninense infection is essential to reduce yield losses in oil palm plantations. This study aims to evaluate the performance of three recent YOLO architectures, namely YOLOv9, YOLOv10, and YO...

Abstract As urban areas expand, the importance of crowd control and population management increases significantly. Major events are organized and structured to guarantee participant safety and mitigate disruptions and em...

Efficient and highly accurate road crack detection algorithms are particularly important in road inspection systems. However, some of their limitations have gradually come to the fore as the target detection aspect has b...

Unmanned aerial vehicle (UAV) aerial photography technology is crucial in various fields, including daily life, production, and security. However, it faces challenges in small object detection, such as extremely small ob...

This research uses two object detection algorithms, Faster R-CNN with ResNet50 backbone and YOLOv5, to develop an intelligent camera system for monitoring volcanic activities. The models were trained and evaluated using ...

In this research, we address a critical problem for strawberry growers in Lima: the management of phytosanitary diseases. Traditionally, these farmers relied on time-consuming, imprecise, and error-prone visual observati...

To enter the parking lot behind the Faculty of Engineering building, students, lecturers and other Unand residents usually have to pass through a small road that starts from the front of the KOPMA building to the parking...