Sung Y. Shin

South Dakota State University — United States

Computer Science · Physical Sciences

10h-index536citations105works0.02yr avg
OpenAlex↗ORCID↗Google Scholar↗Lab page↗

Accepting Students?

No reports yet. Know if this professor is taking students?

Research Topics

AI in cancer detection(12), Image Retrieval and Classification Techniques(11), Topic Modeling(8), Distributed and Parallel Computing Systems(8), Medical Image Segmentation Techniques(7)

Publications105 total

FulltextAttention
2023· 1 cited
Classification of Research Papers on Radio Frequency Electromagnetic Field (RF-EMF) Using Graph Neural Networks (GNN)
Applied Sciences·2023· 7 citedOpen Access
An Efficient Profiling Tool for Baseboard Management Controllers
2023· 3 cited
Task dependent model complexity
2022
Deep learning models for multiple answers extraction and classification of scientific publications
2022· 2 cited
Adjusting inference time for power efficiency in neuromorphic architectures
Proceedings of the 37th ACM/SIGAPP Symposium on Applied Computing·2022
Design and implementation of information extraction system for scientific literature using fine-tuned deep learning models
ACM SIGAPP Applied Computing Review·2022· 10 cited
Graphene Oxide Functionalized Biosensor for Detection of Stress-Related Biomarkers
Sensors·2022· 19 citedOpen Access
Deep learning-based semantic classification of EMF-related scientific literature
ACM SIGAPP Applied Computing Review·2021· 4 cited
EBR-RL
2021· 7 cited
Semantic Classification of EMF-related Literature using Deep Learning Models with Attention Mechanism
2020· 1 cited
Secure and low computation authentication protocol for Wireless Body Area Network with ECC and 2D hash chain
2020· 2 cited
Size efficient preprocessed symmetric rsa for wireless body area network
ACM SIGAPP Applied Computing Review·2020· 5 cited
Time series analysis for enhancing the recognition of license plate number in video stream of IOT camera
2020
Evaluation of deep learning models for information extraction from EMF-related literature
2019· 4 cited
Preprocessed symmetric RSA authentication for wireless body area networks in space
2019· 4 cited
Development of a semantic scene conversion model for image-based localization at night
2019· 2 cited
An efficient deep learning platform for detecting objects
2019
Texture weighted fuzzy C-means algorithm for 3D brain MRI segmentation
2018· 2 cited
Computer aided diagnosis with boosted learning for anomaly detection in microwave tomography
ACM SIGAPP Applied Computing Review·2017
page 1 of 6Next →

Frequent Co-authors

Seong‐Ho Son(11), Soon I. Jeon(8), Wei Wang(7), Yookun Cho(6), Kwanghee Won(6), Hyung‐Do Choi(6), Jiman Hong(5), Samaneh Aminikhanghahi(4), Junyoung Heo(4), Hyung Do Choi(4), Chulwoo Pack(4), Chang Oan Sung(3), Mohammad Taheri(3), Youngsun Jang(3), Sangwon Shin(3), Roger L. Wainwright(2), Hisham M. Haddad(2), Jaeheung Lee(2), Sangho Yi(2), Donghoon Kang(2)