Search Results - "Yu-hwan Kim"
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PCTC-Net: A Crack Segmentation Network with Parallel Dual Encoder Network Fusing Pre-Conv-Based Transformers and Convolutional Neural Networks
Published in Sensors (Basel, Switzerland) (24-02-2024)“…Cracks are common defects that occur on the surfaces of objects and structures. Crack detection is a critical maintenance task that traditionally requires…”
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The introduction to air pollution on pregnancy outcome (APPO) study: a multicenter cohort study
Published in Obstetrics & gynecology science (01-05-2023)“…The air pollution on pregnancy outcome (APPO) study is a prospective hospital-based cohort study designed to investigate the maternal and fetal effects of a…”
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Conditional Generative Adversarial Network- Based Data Augmentation for Enhancement of Iris Recognition Accuracy
Published in IEEE access (2019)“…Presently, lots of previous studies on biometrics employ convolutional neural networks (CNN) which requires a large amount of labeled training data. However,…”
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The introduction to air pollution on pregnancy outcome (APPO) study: a multicenter cohort study
Published in Obstetrics & gynecology science (30-05-2023)“…Objective The air pollution on pregnancy outcome (APPO) study is a prospective hospital-based cohort study designed to investigate the maternal and fetal…”
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PSS-net: Parallel semantic segmentation network for detecting marine animals in underwater scene
Published in Frontiers in Marine Science (07-09-2022)“…Marine scene segmentation is a core technology in marine biology and autonomous underwater vehicle research. However, it is challenging from the perspective of…”
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Enhanced Cycle Generative Adversarial Network for Generating Face Images of Untrained Races and Ages for Age Estimation
Published in IEEE access (2021)“…The datasets used in recent age estimation studies largely consist of two races (i.e., Asians or Westerners), and despite the large amount of data available,…”
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WRA-Net: Wide Receptive Field Attention Network for Motion Deblurring in Crop and Weed Image
Published in Plant phenomics (01-01-2023)“…Automatically segmenting crops and weeds in the image input from cameras accurately is essential in various agricultural technology fields, such as herbicide…”
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Personal exposure of PM2.5 and metabolic syndrome markers of pregnant women in South Korea: APPO study
Published in Environmental science and pollution research international (01-12-2023)“…We examined the association between exposure to PM 2.5 , focused on individual exposure level, and metabolic dysfunction during pregnancy. APPO study (Air…”
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Age Estimation by Super-Resolution Reconstruction Based on Adversarial Networks
Published in IEEE access (2020)“…Age estimation using facial images is applicable in various fields, such as age-targeted marketing, analysis of demand and preference for goods, skin care,…”
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Human Blastocyst Components Detection Using Multiscale Aggregation Semantic Segmentation Network for Embryonic Analysis
Published in Biomedicines (15-07-2022)“…Infertility is one of the most important health concerns worldwide. It is characterized by not being successful of pregnancy after some periods of periodic…”
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Semantic Segmentation by Multi-Scale Feature Extraction Based on Grouped Dilated Convolution Module
Published in Mathematics (Basel) (01-05-2021)“…Existing studies have shown that effective extraction of multi-scale information is a crucial factor directly related to the increase in performance of…”
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LCA-GAN: Low-Complexity Attention-Generative Adversarial Network for Age Estimation with Mask-Occluded Facial Images
Published in Mathematics (Basel) (01-04-2023)“…Facial-image-based age estimation is being increasingly used in various fields. Examples include statistical marketing analysis based on age-specific product…”
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The effect of salinomycin on ovarian cancer stem-like cells
Published in Obstetrics & gynecology science (30-07-2016)“…Objective The identification of cancer stem-like cells is a recent development in ovarian cancer. Compared to other cancer cells, cancer stem-like cells…”
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S3D: Squeeze and Excitation 3D Convolutional Neural Networks for a Fall Detection System
Published in Mathematics (Basel) (01-02-2022)“…Because of the limitations of previous studies on a fall detection system (FDS) based on wearable and ambient devices and visible light and depth cameras, the…”
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Image Region Prediction from Thermal Videos Based on Image Prediction Generative Adversarial Network
Published in Mathematics (Basel) (01-05-2021)“…Various studies have been conducted on object detection, tracking, and action recognition based on thermal images. However, errors occur during object…”
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Enhancing the Accuracies of Age Estimation With Heterogeneous Databases Using Modified CycleGAN
Published in IEEE access (2019)“…Age estimation using face images has been widely employed across various fields. Because the characteristics of face images usually vary greatly depending on…”
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LAE-GAN-Based Face Image Restoration for Low-Light Age Estimation
Published in Mathematics (Basel) (01-09-2021)“…Age estimation is applicable in various fields, and among them, research on age estimation using human facial images, which are the easiest to acquire, is…”
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Aminocyclopentadienyl Ruthenium Complexes as Racemization Catalysts for Dynamic Kinetic Resolution of Secondary Alcohols at Ambient Temperature
Published in Journal of organic chemistry (19-03-2004)“…Aminocyclopentadienyl ruthenium complexes, which can be used as room-temperature racemization catalysts with lipases in the dynamic kinetic resolution (DKR) of…”
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Aminocyclopentadienyl Ruthenium Chloride: Catalytic Racemization and Dynamic Kinetic Resolution of Alcohols at Ambient Temperature
Published in Angewandte Chemie International Edition (03-07-2002)“…Ruthenium–enzyme tandem catalysis: The novel racemization catalyst 1 improves the dynamic kinetic resolution (DKR) of secondary alcohols dramatically. The DKR…”
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MTS-CNN: Multi-task semantic segmentation-convolutional neural network for detecting crops and weeds
Published in Computers and electronics in agriculture (01-08-2022)“…•MTS-CNN shows high detection accuracy through balanced training of crops and weeds.•We propose one-stage training method for detecting crop and weed by…”
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