Comparison of Pre-Trained YOLO Models on Steel Surface Defects Detector Based on Transfer Learning with GPU-Based Embedded Devices. [PDF]
Steel is one of the most basic ingredients, which plays an important role in the machinery industry. However, the steel surface defects heavily affect its quality. The demand for surface defect detectors draws much attention from researchers all over the
Nguyen HV+4 more
europepmc +2 more sources
Two-Stream Network One-Class Classification Model for Defect Inspections. [PDF]
Defect inspection is important to ensure consistent quality and efficiency in industrial manufacturing. Recently, machine vision systems integrating artificial intelligence (AI)-based inspection algorithms have exhibited promising performance in various ...
Lee S, Luo C, Lee S, Jung H.
europepmc +2 more sources
Enhancing Security Operations Center: Wazuh Security Event Response with Retrieval-Augmented-Generation-Driven Copilot. [PDF]
The sophistication of cyberthreats demands more efficient and intelligent tools to support Security Operations Centers (SOCs) in managing and mitigating incidents.
Ismail+7 more
europepmc +2 more sources
Prediction of Frost Occurrences Using Statistical Modeling Approaches
We developed the frost prediction models in spring in Korea using logistic regression and decision tree techniques. Hit Rate (HR), Probability of Detection (POD), and False Alarm Rate (FAR) from both models were calculated and compared.
Hyojin Lee+3 more
doaj +2 more sources
Clinical Outcomes of Biportal Endoscopic Interlaminar Decompression with Oblique Lumbar Interbody Fusion (OLIF): Comparative Analysis with TLIF. [PDF]
Oblique lumbar interbody fusion (OLIF) improves the spinal canal, with favorable clinical outcomes. However, it may not be useful for treating concurrent, severe central canal stenosis (SCCS). Therefore, we added biportal endoscopic spinal surgery (BESS)
Lee HJ+5 more
europepmc +2 more sources
Interpolation of Missing Precipitation Data Using Kernel Estimations for Hydrologic Modeling
Precipitation is the main factor that drives hydrologic modeling; therefore, missing precipitation data can cause malfunctions in hydrologic modeling. Although interpolation of missing precipitation data is recognized as an important research topic, only
Hyojin Lee, Kwangmin Kang
doaj +2 more sources
Continuance intention to use artificial intelligence personal assistant: type, gender, and use experience. [PDF]
This study aims to identify the key predictors that affect the continuance intention of artificial intelligence personal assistant (AIPA). It proposes the theoretical framework which employs utilitarian value, hedonic value, perceived ease of use ...
Jo H.
europepmc +2 more sources
This study examined the impact of model biases on climate change signals for daily precipitation and for minimum and maximum temperatures. Through the use of multiple climate scenarios from 12 regional climate model simulations, the ensemble mean, and ...
Hyung-Il Eum+2 more
doaj +2 more sources
Advancing sub-seasonal to seasonal multi-model ensemble precipitation prediction in east asia: Deep learning-based post-processing for improved accuracy. [PDF]
The growing interest in Subseasonal to Seasonal (S2S) prediction data across different industries underscores its potential use in comprehending weather patterns, extreme conditions, and important sectors such as agriculture and energy management ...
Chung U, Rhee J, Kim M, Sohn SJ.
europepmc +2 more sources
COASTAL MAPPING OF JINU-DO WITH UAV FOR BUSAN SMART CITY, KOREA [PDF]
For illustrating estuarine and coastal morphology, UAV has proved its effectiveness in providing accurate and diverse information, but unfortunately, no such application have been undertaken for Nakdong River Estuary for ecosystem-based coastal mapping ...
C. I. Yoo, Y. S. Oh, Y. J. Choi
doaj +1 more source