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Byung‐Gyu Kim

Full Professor

Sookmyung Women's University

South Korea

Research Interests

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About

Byung‐Gyu Kim is an Associate Professor in the Division of Artificial Intelligence Engineering at Sookmyung Women's University in Seoul, Republic of Korea. His research interests encompass safety-critical transportation cyber-physical systems, secure healthcare communication networks, and the application of explainable AI in medical image analysis. He has published extensively on topics such as predictive maintenance using generative AI and the integration of advanced neural network architectures for big data in medical applications.

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Collaborators (10)

Dr. Parameshachari B D

Visiting Professor

University of Rome Tor Vergata

ITALY

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Woon-Ha Yeo

Senior Researcher

Asan Medical Center

SOUTH KOREA

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Jing Wang

Assistant Researcher

Southeast University

CHINA

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Suyel Namasudra

Assistant Professor

SPAIN

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Naveen Chilamkurti

La Trobe University - Bendigo Campus

AUSTRALIA

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Shakila Basheer

SAUDI ARABIA

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Jiwoo Kang

Assistant Professor

Sookmyung Women's University

SOUTH KOREA

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Ruben Gonzalez Crespo

Catedrático de Ciencias de la Computación e Inteligencia Artificial

Universidad Internacional de La Rioja

SPAIN

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Shalli Rani

Professor

Chitkara University

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Parthapratim Roy

Professor

Indian Institute of Technology (Indian School of Mines), Dhanbad

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Byung‐Gyu Kim

Research Interests

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About

Articles (36)

EmoXFormer: Human-Cognition-Inspired Multimodal Emotion Recognition from Disjoint Modality Datasets

Generative AI-enhanced multimodal deep learning for pest and disease detection in Chinese herbal medicine

HealthGuard: Privacy-Preserving Framework for Consumer Healthcare Devices Against Adversarial Inference Attacks

Empirical Evaluation of Situational Awareness and Its Cognitive Correlates Using EEG

Privacy-Preserving Digital Publishing Framework for Next-Generation Communication Networks: A Verifiable Homomorphic Federated Learning Approach

Large Model-Driven Trustworthy Child Psychoeducation Mechanism for 6G Internet of Everything

Efficient deformable modeling network for multi-view 3D object detection

Hierarchical recurrent transformer network for video super-resolution

Deep Learning-based Filtering for Video Coding: A Survey on Architectures, Algorithms, and Complexity Analysis

UniVoice: Dual RAG for Real-Time Lecture Translation in Multicultural Higher Education

Temporal Behavior Analysis and Synthesis for Safety-Critical Transportation Cyber-Physical Systems: A Compositional Approach

Zero-Trust Blockchain-Enabled Secure Next-Generation Healthcare Communication Network

Optimizing Deep Neuro-Fuzzy Network for ECG Medical Big Data Through Integration of Multiscale Features

Leveraging Generative AI for Essential Predictive Maintenance in Industrial Consumer Electronics

Large Models for Cooperative Control of Connected and Autonomous Vehicles

Zero Trust Consumer IoT With Robust Federated Learning Over Main-Side Blockchain

AIoT-Enhanced Blockchain Framework for Hierarchical Access Control in Green Medical Supply Chain Systems

Image and video analysis using graph neural network for Internet of Medical Things and computer vision applications

Attention-based scale sequence network for small object detection

Privacy-Preserving AI Framework for 6G-Enabled Consumer Electronics

Artificial Intelligence Blockchain Based Fake News Discrimination

Augmented Intelligence of Things for Priority-Aware Task Offloading in Vehicular Edge Computing

Explainable AI for Medical Image Analysis in Medical Cyber-Physical Systems: Enhancing Transparency and Trustworthiness of IoMT

Exploring Multimodal Multiscale Features for Sentiment Analysis Using Fuzzy-Deep Neural Network Learning

Low-Complexity Beamforming Design for Green Near-Field Communications in 6G Ultra-Massive Multiple-Input-Multiple-Output

ssFPN: Scale Sequence (S2) Feature-Based Feature Pyramid Network for Object Detection

Blockchain-Based Privacy Preservation for IoT-Enabled Healthcare System

Heuristic green computing based energy management with security enhancement using hybrid greedy secure optimal routing protocol

Deep Learning-based Sequence Labeling Tools for Nepali

Raw Electroencephalogram-Based Cognitive Workload Classification Using Directed and Nondirected Functional Connectivity Analysis and Deep Learning

HiRN: Hierarchical recurrent neural network for video super-resolution (VSR) using two-stage feature evolution

Breast cancer classification using Deep Q Learning (DQL) and gorilla troops optimization (GTO)

DeepFake detection algorithm based on improved vision transformer

Attention-Based Bi-Prediction Network for Versatile Video Coding (VVC) over 5G Network

Gesture Recognition and Hand Tracking for Anti-Counterfeit Palmvein Recognition

Group-based bi-directional recurrent wavelet neural network for efficient video super-resolution (VSR)

Collaborators (10)

Dr. Parameshachari B D

Woon-Ha Yeo

Jing Wang

Suyel Namasudra

Naveen Chilamkurti

Shakila Basheer

Jiwoo Kang

Ruben Gonzalez Crespo

Shalli Rani

Parthapratim Roy

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