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Seunghyeon Wang

University College London

United Kingdom

Research Interests

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Professors in United Kingdom

Articles (20)

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Collaborators (3)

Ju-Hyung Kim

Professor

Hanyang University

SOUTH KOREA

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Mengqiu Cao

University College London

UNITED KINGDOM

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Jae-Jun Kim

Hanyang University

SOUTH KOREA

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Seunghyeon Wang

Research Interests

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Articles (20)

Empirical comparison of sequence-aware augmentation strategies for real operational AHU AFDD under data scarcity and class imbalance

Effectiveness of Image Augmentation Techniques on Non-Protective Personal Equipment Detection Using YOLOv8

Heavy Equipment Detection on Construction Sites Using You Only Look Once (YOLO-Version 10) with Transformer Architectures

Image Augmentation Approaches for Building Dimension Estimation in Street View Images Using Object Detection and Instance Segmentation Based on Deep Learning

A text dataset of fire door defects for pre-delivery inspections of apartments during the construction stage

Automated fault diagnosis detection of air handling units using real operational labelled data and transformer-based methods at 24-hour operation hospital

Automated non-PPE detection on construction sites using YOLOv10 and transformer architectures for surveillance and body worn cameras with benchmark datasets

Development of a Petrochemical Plant Pipe Counting Method Based on Improved Mask R-CNN and Transformer

Development of approach to an automated acquisition of static street view images using transformer architecture for analysis of Building characteristics

Effectiveness of traditional augmentation methods for rebar counting using UAV imagery with Faster R-CNN and YOLOv10-based transformer architectures

Fault Diagnosis of Air Handling Units in an Auditorium Using Real Operational Labeled Data across Different Operation Modes

Real operational labeled data of air handling units from office, auditorium, and hospital buildings

Safety Helmet Monitoring on Construction Sites Using YOLOv10 and Advanced Transformer Architectures with Surveillance and Body-Worn Cameras

A labelled dataset for rebar counting inspection on construction sites using unmanned aerial vehicles

A semi-labelled dataset for fault detection in air handling units from a large-scale office

Automated detection of exterior cladding material in urban area from street view images using deep learning

Building façade datasets for analyzing building characteristics using deep learning

Effectiveness of Image Augmentation Techniques on Detection of Building Characteristics from Street View Images Using Deep Learning

Evaluation of impact of image augmentation techniques on two tasks: Window detection and window states detection

The Development of a Rebar-Counting Model for Reinforced Concrete Columns: Using an Unmanned Aerial Vehicle and Deep-Learning Approach

Collaborators (3)

Ju-Hyung Kim

Mengqiu Cao

Jae-Jun Kim

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