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Showing 9 of 9 academic articles

Physical Characterization of Early Galaxies in the Webb’s First Deep Field SMACS J0723.3-7327

T. Morishita, M. Stiavelli • The Astrophysical Journal Letters (2023)

This paper highlights initial photometric analyses of JWST NIRCam imaging data in the sightline of SMACS0723, aiming to identify galaxies at redshift z > 7. By applying a conservative Lyman-break selection followed by photometric-redshift a...

DOAJ Open Access (DOAJ) DOI: 10.3847/2041-8213/acbf50

Automatic visual inspection system for quality control of the sandwich panel and detecting the dipping and buckling of the surfaces

Vahid Torkzadeh, Saeed Toosizadeh • Measurement + Control (2019)

In this paper, an automated inspection system is proposed for detecting the location and measuring the size of existing dipping or buckling on the sandwich panel surface using an RGB camera and an inexpensive linear laser. The proposed meth...

DOAJ Open Access (DOAJ) DOI: 10.1177/0020294019847706

Online Classification of Road Roughness Conditions with Vehicle Unsprung Mass Acceleration by Sliding Time Window

Zhongxing Li, Wenhao Yu, Xiaoli Cui • Shock and Vibration (2018)

Suspension control systems are in need for more information of road roughness conditions to improve their performance under different roads. Existing methods of gauging road roughness are limited, and they usually involve visual inspections...

DOAJ Open Access (DOAJ) DOI: 10.1155/2018/5131434

Automated Burr Quality Classification in Drilling of AA6013 Aluminum Alloy Using YOLOv10n

Mikail Kırğıl, Suleyman Gokhan Taskin, Ali Ercetin • Applied Sciences (2026)

Burr formation during drilling of aluminum alloys can compromise hole quality and assembly accuracy, increasing the need for secondary deburring operations. The time-consuming and operator-dependent nature of manual visual inspection create...

DOAJ Open Access (DOAJ) DOI: 10.3390/app162010012

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

Autonomous Robotic Platform for Precision Viticulture: Integrated Mobility, Multimodal Sensing, and AI-Based Leaf Sampling

Miriana Russo, Corrado Santoro, Federico Fausto Santoro, Alessio Tudisco • Actuators (2026)

Viticulture is facing growing economic and environmental pressures that demand a transition toward intelligent and autonomous crop management systems. Phytopathologies remain one of the most critical threats, causing substantial yield losse...

DOAJ Open Access (DOAJ) DOI: 10.3390/act15020091

Edge AI for Industrial Visual Inspection: YOLOv8-Based Visual Conformity Detection Using Raspberry Pi

Marcelo T. Okano, William Aparecido Celestino Lopes, Sergio Miele Ruggero, Oduvaldo Vendrametto et al. • Algorithms (2025)

This paper presents a lightweight and cost-effective computer vision solution for automated industrial inspection using You Only Look Once (YOLO) v8 models deployed on embedded systems. The YOLOv8 Nano model, trained for 200 epochs, achieve...

DOAJ Open Access (DOAJ) DOI: 10.3390/a18080510

DualSight: multi-stage instance segmentation framework for improved precision

Stephen Price, Kiran Judd, Kyle Tsaknopoulos, Rodica Neamtu et al. • Scientific Reports (2025)

Abstract Powder properties, particularly their morphology (which includes size, shape, surface roughness, etc.), play a critical role in the quality of cold spray additively manufactured materials. A change in feedstock powder morphology ca...

DOAJ Open Access (DOAJ) DOI: 10.1038/s41598-025-09642-3

Deep Learning-Based Visual Complexity Analysis of Electroencephalography Time-Frequency Images: Can It Localize the Epileptogenic Zone in the Brain?

Navaneethakrishna Makaram, Sarvagya Gupta, Matthew Pesce, Jeffrey Bolton et al. • Algorithms (2023)

In drug-resistant epilepsy, a visual inspection of intracranial electroencephalography (iEEG) signals is often needed to localize the epileptogenic zone (EZ) and guide neurosurgery. The visual assessment of iEEG time-frequency (TF) images i...

DOAJ Open Access (DOAJ) DOI: 10.3390/a16120567