Se Jin Kwon

Prof

Kangwon National University - Samcheok Campus

South Korea

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About

Professor Se Jin Kwon is a faculty member at Kangwon National University - Samcheok Campus in South Korea. His research focuses on deep learning applications in areas such as traffic prediction, vehicular networks, and healthcare analytics. He has recently published articles on topics including road crack detection and ransomware prevention techniques, demonstrating a commitment to addressing current challenges through innovative technological solutions.

Articles (12)

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2025

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2024

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2024

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2024

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2022

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2022

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2022

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2020

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2020

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2020

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2020

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2020

Collaborators (3)

Ihsan Ali

Assistant Professor

Southeast Missouri State University

UNITED STATES

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Imdad Ullah

SAUDI ARABIA

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Usman Tariq

SAUDI ARABIA

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Se Jin Kwon

Research Interests

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Articles (12)

Enhancing road crack detection with Neural Architecture Seeks Large Neural Network: Leveraging deep learning and Augmented Minority Over-Sampling Technique on public and custom developed datasets

A Novel Deep Stacking-Based Ensemble Approach for Short-Term Traffic Speed Prediction

Joint Trust Analysis and Artificial Gorilla Troops Optimization for Performance Improvement in UAVs-Assisted Vehicular Network

The Empirical Analysis, Mathematical Modeling, and Advanced Control Strategies for Buck Converter

An Effective Self-Configurable Ransomware Prevention Technique for IoMT

Understanding the User-Generated Geographic Information by Utilizing Big Data Analytics for Health Care

Collaborative Learning Based Sybil Attack Detection in Vehicular AD-HOC Networks (VANETS)

Deep learning scheme for character prediction with position-free touch screen-based Braille input method

Heart Risk Failure Prediction Using a Novel Feature Selection Method for Feature Refinement and Neural Network for Classification

Educational Sustainability through Big Data Assimilation to Quantify Academic Procrastination Using Ensemble Classifiers

Analysis and Evaluation of Braille to Text Conversion Methods

Role of Big Data in the Development of Smart City by Analyzing the Density of Residents in Shanghai

Collaborators (3)

Ihsan Ali

Imdad Ullah

Usman Tariq

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