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Jungpil Shin

4 papers hereh-index 392 citations17 works total

Matching runs newest-first, so older work may not be attached to this profile yet.

author position
  • middle author2
  • last author1

Across the 3 of 4 papers where every author was matched, so the position is known.

fields
  • cs.CV2
  • cs.CE1
  • quant-ph1
same name
  • Jungpil Shin — 21 papers, h 11
  • Jungpil Shin — 7 papers, h 6
  • Jungpil Shin — 6 papers, h 1
  • Jungpil Shin — 1 paper, h 17

Either other researchers who publish under this name, or the same person where the external sources have not merged their records.

identity via Semantic Scholar / OpenAlex

collaborators

4 papers

cs.CV2025

Multi Class Parkinson Disease Detection Based on Finger Tapping Using Attention Enhanced CNN BiLSTM

Abu Saleh Musa Miah, Najmul Hassan, Md Maruf Al Hossain +2

Accurate evaluation of Parkinsons disease (PD) severity is essential for effective clinical management and intervention development. Despite the proposal of several gesture based P…

cs.CV2025

Hybrid CNN-BYOL Approach for Fault Detection in Induction Motors Using Thermal Images

Tangin Amir Smrity, MD Zahin Muntaqim Hasan Muhammad Kafi, Abu Saleh Musa Miah +5

Induction motors (IMs) are indispensable in industrial and daily life, but they are susceptible to various faults that can lead to overheating, wasted energy consumption, and servi…

cs.CE2025

Code Smell Detection via Pearson Correlation and ML Hyperparameter Optimization

Moinuddin Muhammad Imtiaz Bhuiyan, Kazi Ekramul Hoque, Rakibul Islam +6

This study addresses the challenge of detecting code smells in large-scale software systems using machine learning (ML). Traditional detection methods often suffer from low accurac…

quant-ph2024

Feed-Forward Probabilistic Error Cancellation with Noisy Recovery Gates

Leo Kurosawa, Yoshiyuki Saito, Xinwei Lee +5

Probabilistic Error Cancellation (PEC) aims to improve the accuracy of expectation values for observables. This is accomplished using the probabilistic insertion of recovery gates,…

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