Jaehyuk Cho

23 papers Journal 21Unranked 2
YearRankTypeTitle / Venue / Authors
2025 J jnl
A hybrid deep learning paradigm integrating segmentation architectures for precise plant disease identification and classification.
PeerJ Comput. Sci.
Mohana Saranya Sellappan, Rajalaxmi Ramasamy Rajammal, Jaehyuk Cho, Veerappampalayam Easwaramoorthy Sathishkumar
2025 J jnl
An Empirical Analysis of Transformer-Based and Convolutional Neural Network Approaches for Early Detection and Diagnosis of Cancer Using Multimodal Imaging and Genomic Data.
IEEE Access
S. K. B. Sangeetha, Sandeep Kumar Mathivanan, V. Muthukumaran, Jaehyuk Cho, Veerappampalayam Easwaramoorthy Sathishkumar
2025 J jnl
Deep learning-driven methods for network-based intrusion detection systems: A systematic review.
ICT Express
Ramya Chinnasamy, Malliga Subramanian, Sathishkumar Veerappampalayam Easwaramoorthy, Jaehyuk Cho
2025 J jnl
EEG-based schizophrenia diagnosis using deep learning with multi-scale and adaptive feature selection.
PeerJ Comput. Sci.
Alanoud Al Mazroa, Majdy M. Eltahir, Shouki A. Ebad, Faiz Abdullah Alotaibi, K. Venkatachalam, Jaehyuk Cho
2025 J jnl
Optimized deep learning approach for lung cancer detection using flying fox optimization and bidirectional generative adversarial networks.
PeerJ Comput. Sci.
Manal Abdullah Alohali, Hamed AlQahtani, Shouki A. Ebad, Faiz Abdullah Alotaibi, K. Venkatachalam, Jaehyuk Cho
2025 J jnl
Variational quantum classifier-based early identification and classification of chronic kidney disease using sparse autoencoder and LASSO shrinkage.
PeerJ Comput. Sci.
P. Parthasarathi, Haya Mesfer Alshahrani, K. Venkatachalam, Jaehyuk Cho
2024 J jnl
A Hybrid Deep Learning Approach for Skin Cancer Classification Using Swin Transformer and Dense Group Shuffle Non-Local Attention Network.
IEEE Access
R. Karthik, R. Menaka, Shivansh Atre, Jaehyuk Cho, Veerappampalayam Easwaramoorthy Sathishkumar
2024 J jnl
A comprehensive review of sensor node deployment strategies for maximized coverage and energy efficiency in wireless sensor networks.
PeerJ Comput. Sci.
Anusuya P., Vanitha C. N., Jaehyuk Cho, Veerappampalayam Easwaramoorthy Sathishkumar
2024 J jnl
An Empirical Analysis of Multimodal Affective Computing Approaches for Advancing Emotional Intelligence in Artificial Intelligence for Healthcare.
IEEE Access
S. K. B. Sangeetha, Rajeswari Rajesh Immanuel, Sandeep Kumar Mathivanan, Jaehyuk Cho, Veerappampalayam Easwaramoorthy Sathishkumar
2024 J jnl
An Explainable Deep Learning Network for Environmental Microorganism Classification Using Attention-Enhanced Semi-Local Features.
IEEE Access
R. Karthik, Armaano Ajay, Akshaj Singh Bisht, Jaehyuk Cho, V. E. Sathishkumar
2024 — conf
CardioNetFusion: A Deep Learning and Explainable AI Integrated System for Cardiovascular Disease Detection.
ICDM (Workshops)
Gunasekaran Raja, Selvam Essaky, Surya Raj Muthu, Babith Sarish Suresh, Jaehyuk Cho, Seohyun Yoo, Sathishkumar Veerappampalayam Easwaramoorthy
2024 J jnl
Enhancing Next-Generation Wireless Networks Using Preemptive Energy Conservation Technique.
IEEE Access
Jagadeesh Selvaraj, Noor Alleema Nakeeb, Jaehyuk Cho, Sathishkumar Veerappampalayam Easwaramoorthy
2024 J jnl
Point Cloud-Based 3D Object Classification With Non Local Attention and Lightweight Convolution Neural Networks.
IEEE Access
R. Karthik, Rohan Inamdar, S. Kavin Sundarr, Jaehyuk Cho, Sathishkumar Veerappampalayam Easwaramoorthy
2024 J jnl
Quantum-inspired seagull optimised deep belief network approach for cardiovascular disease prediction.
PeerJ Comput. Sci.
D. Banumathy, T. Vetriselvi, K. Venkatachalam, Jaehyuk Cho
2024 J jnl
Secure Healthcare Access Control System (SHACS) for Anomaly Detection and Enhanced Security in Cloud-Based Healthcare Applications.
IEEE Access
S. K. B. Sangeetha, C. Selvarathi, Sandeep Kumar Mathivanan, Jaehyuk Cho, Sathishkumar Veerappampalayam Easwaramoorthy
2023 J jnl
Deep Tasks Summarization for Comprehending Mixed Tasks in a Commit.
Int. J. Softw. Eng. Knowl. Eng.
TaeYoung Kim, Suntae Kim, Duksan Ryu, Jaehyuk Cho
2023 J jnl
Enhanced Feature Model Based Hybrid Neural Network for Text Detection on Signboard, Billboard and News Tickers.
IEEE Access
Anbukkarasi S, Veerappampalayam Easwaramoorthy Sathishkumar, C. R. Dhivyaa, Jaehyuk Cho
2023 J jnl
Multiple Types of Cancer Classification Using CT/MRI Images Based on Learning Without Forgetting Powered Deep Learning Models.
IEEE Access
Malliga Subramanian, Jaehyuk Cho, Veerappampalayam Easwaramoorthy Sathishkumar, Obuli Sai Naren
2023 — conf
Noise Reduction Caused by External Events in Wireless Sensor Network.
ICOIN
Trinh Thuc Lai, Jaehyuk Cho, Myungsik Yoo
2023 J jnl
Unsupervised outlier detection for time-series data of indoor air quality using LSTM autoencoder with ensemble method.
J. Big Data
Junhyeok Park, Youngsuk Seo, Jaehyuk Cho
2023 J jnl
Which Exceptions Do We Have to Catch in the Python Code for AI Projects?
Int. J. Softw. Eng. Knowl. Eng.
Mingu Kang, Suntae Kim, Duksan Ryu, Jaehyuk Cho
2021 J jnl
An Ensemble Method for Missing Data of Environmental Sensor Considering Univariate and Multivariate Characteristics.
Sensors
Chanyoung Choi, Haewoong Jung, Jaehyuk Cho
2020 J jnl
Data Clustering Method Using Efficient Fuzzifier Values Derivation.
IEEE Access
Jaehyuk Cho, Wonhee Joo