Jungpil SHIN

Professor

University of Aizu

Japan

Research Interests

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Articles (20)

PGD-Trap: Proactive Deepfake Defense with Sticky Adversarial Signals and Iterative Latent Variable Refinement

Year:

2024

Exploring Feature Selection and Classification Techniques to Improve the Performance of an Electroencephalography-Based Motor Imagery Brain–Computer Interface System

Year:

2024

Residual-Based Multi-Stage Deep Learning Framework for Computer-Aided Alzheimer’s Disease Detection

Year:

2024

Effective features extraction and selection for hand gesture recognition using sEMG signal

Year:

2024

Spatial–temporal attention with graph and general neural network-based sign language recognition

Year:

2024

Dynamic Japanese Sign Language Recognition Throw Hand Pose Estimation Using Effective Feature Extraction and Classification Approach

Year:

2024

A Deep Bidirectional LSTM Model Enhanced by Transfer-Learning-Based Feature Extraction for Dynamic Human Activity Recognition

Year:

2024

A Lightweight Visual Font Style Recognition With Quantized Convolutional Autoencoder

Year:

2024

A Methodological and Structural Review of Hand Gesture Recognition Across Diverse Data Modalities

Year:

2024

A Multilingual Handwriting Learning System for Visually Impaired People

Year:

2024

An Automated Precise Authentication of Vehicles for Enhancing the Visual Security Protocols

Year:

2023

A Dynamic Ensemble Selection of Deepfake Detectors Specialized for Individual Face Parts

Year:

2023

A Fine-Tuned Hybrid Stacked CNN to Improve Bengali Handwritten Digit Recognition

Year:

2023

Dynamic Fall Detection Using Graph-Based Spatial Temporal Convolution and Attention Network

Year:

2023

Stochastic Neighbor Embedding Feature-Based Hyperspectral Image Classification Using 3D Convolutional Neural Network

Year:

2023

Increased Activity in the Prefrontal Cortex Related to Planning during a Handwriting Task

Year:

2023

Multi-Stream General and Graph-Based Deep Neural Networks for Skeleton-Based Sign Language Recognition

Year:

2023

Investigating Feature Selection Techniques to Enhance the Performance of EEG-Based Motor Imagery Tasks Classification

Year:

2023

Periodontal Disease Classification with Color Teeth Images Using Convolutional Neural Networks

Year:

2023

Korean Sign Language Recognition Using Transformer-Based Deep Neural Network

Year:

2023

Collaborators (8)

Seoul-Hee Nam

-

SOUTH KOREA

Won-Du Chang

Pusan National University

SOUTH KOREA

Muneer Ahmad

Assistant Professor

Woosong University

SOUTH KOREA

Md. Al Mehedi Hasan

Assistant Professor

Hokkaido University

JAPAN

Yoichi Tomioka

University of Aizu

JAPAN

Jia Uddin

Assistant Professor

Woosong University

SOUTH KOREA

Akira Yasumura

Kumamoto University

JAPAN

Yu-Rin Kim

Silla University

SOUTH KOREA

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