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Showing 11 of 11 academic articles

DETECTION AND RECOGNITION OF ROAD SIGNS USING YOLOv5

Haitam Ettazi, Najat Rafalia, Jaafar Abouchabaka • Proceedings on Engineering Sciences (2023)

In the field of deep learning, a convolutional neural network is a class of artificial neural networks that became dominant in various computer vision tasks, which is widely used to solve complex problems in various areas, including driver ...

DOAJ Open Access (DOAJ) DOI: 10.24874/PES05.03.017

MaskDis R‐CNN: An instance segmentation algorithm with adversarial network for herd pigs

Shuqin Tu, Qiantao Zeng, Haofeng Liu, Yun Liang et al. • IET Image Processing (2023)

Abstract The current instance segmentation method can achieve satisfactory results in common scenarios. However, under the overlap or partial occlusion between targets caused by the complex scenes, accurate segmentation of pigs remains a ch...

DOAJ Open Access (DOAJ) DOI: 10.1049/ipr2.12880

A Systematic YOLO-Specific Model Selection for Mechanical Fault Identification in High-Voltage Insulators

Arailym Serikbay, Venera Nurmanova, Yerbol Akhmetov, Amin Zollanvari et al. • International Transactions on Electrical Energy Systems (2025)

Regular monitoring of outdoor insulators is crucial to ensure the reliable functioning of the power grid. With recent progress in computer vision technologies, traditional manual and expensive visual inspections can now be replaced by autom...

DOAJ Open Access (DOAJ) DOI: 10.1155/etep/8669289

Enabling scalable inspection of offshore mooring systems using cost-effective autonomous underwater drones

Dong Trong Nguyen, Christian Lindahl Elseth, Jakob Rude Øvstaas, Nikolai Arntzen et al. • Frontiers in Robotics and AI (2025)

As aquaculture expands to meet global food demand, it remains dependent on manual, costly, infrequent, and high-risk operations due to reliance on high-end Remotely Operated Vehicles (ROVs). Scalable and autonomous systems are needed to ena...

DOAJ Open Access (DOAJ) DOI: 10.3389/frobt.2025.1655242

DEEP LEARNING-BASED DOOR AND WINDOW DETECTION FROM BUILDING FAÇADE

G. Sezen, M. Cakir, M. E. Atik, Z. Duran • The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences (2022)

Detecting building façade elements is a crucial problem in computer vision for image interpretation. In Building Information Modeling (BIM) studies, the detection of building façade elements has an important role. BIM is a tool that allows ...

DOAJ Open Access (DOAJ) DOI: 10.5194/isprs-archives-XLIII-B4-2022-315-2022

Improved sports image classification using deep neural network and novel tuna swarm optimization

Zetian Zhou, Heqing Zhang, Mehdi Effatparvar • Scientific Reports (2024)

Abstract Sports image classification is a complex undertaking that necessitates the utilization of precise and robust techniques to differentiate between various sports activities. This study introduces a novel approach that combines the de...

DOAJ Open Access (DOAJ) DOI: 10.1038/s41598-024-64826-7

Research on high-precision recognition model for multi-scene asphalt pavement distresses based on deep learning

Sheng Zhang, Zhenghao Bei, Tonghua Ling, Qianqian Chen et al. • Scientific Reports (2024)

Abstract Accurate detection of asphalt pavement distress is crucial for road maintenance and traffic safety. However, traditional convolutional neural networks usually struggle with this task due to the varied distress patterns and complex ...

DOAJ Open Access (DOAJ) DOI: 10.1038/s41598-024-77173-4

A deep learning model for the localization and extraction of brain tumors from MR images using YOLOv7 and grab cut algorithm

Srigiri Krishnapriya, Yepuganti Karuna • Frontiers in Oncology (2024)

IntroductionBrain tumors are a common disease that affects millions of people worldwide. Considering the severity of brain tumors (BT), it is important to diagnose the disease in its early stages. With advancements in the diagnostic process...

DOAJ Open Access (DOAJ) DOI: 10.3389/fonc.2024.1347363