Data Clustering Method Using Efficient Fuzzifier Values Derivation. - Jaehyuk Cho; Wonhee Joo (IEEE Access, 2020)

An Ensemble Method for Missing Data of Environmental Sensor Considering Univariate and Multivariate Characteristics. - Chanyoung Choi; Haewoong Jung; Jaehyuk Cho (Sensors, 2021)

Noise Reduction Caused by External Events in Wireless Sensor Network. - Trinh Thuc Lai; Jaehyuk Cho; Myungsik Yoo (ICOIN, 2023)

Enhanced Feature Model Based Hybrid Neural Network for Text Detection on Signboard, Billboard and News Tickers. - Anbukkarasi S; Veerappampalayam Easwaramoorthy Sathishkumar; C. R. Dhivyaa; Jaehyuk Cho (IEEE Access, 2023)

Multiple Types of Cancer Classification Using CT/MRI Images Based on Learning Without Forgetting Powered Deep Learning Models. - Malliga Subramanian; Jaehyuk Cho; Veerappampalayam Easwaramoorthy Sathishkumar; Obuli Sai Naren (IEEE Access, 2023)

Deep Tasks Summarization for Comprehending Mixed Tasks in a Commit. - Taeyoung Kim; Suntae Kim; Duksan Ryu; Jaehyuk Cho (Int. J. Softw. Eng. Knowl. Eng., 2023)

Which Exceptions Do We Have to Catch in the Python Code for AI Projects? - Mingu Kang; Suntae Kim; Duksan Ryu; Jaehyuk Cho (Int. J. Softw. Eng. Knowl. Eng., 2023)

Unsupervised outlier detection for time-series data of indoor air quality using LSTM autoencoder with ensemble method. - Junhyeok Park; Youngsuk Seo; Jaehyuk Cho (J. Big Data, 2023)

CardioNetFusion: A Deep Learning and Explainable AI Integrated System for Cardiovascular Disease Detection. - Gunasekaran Raja; Selvam Essaky; Surya Raj Muthu; Babith Sarish Suresh; Jaehyuk Cho; Seohyun Yoo; Sathishkumar Veerappampalayam Easwaramoorthy (ICDM (Workshops), 2024)

An Explainable Deep Learning Network for Environmental Microorganism Classification Using Attention-Enhanced Semi-Local Features. - R. Karthik 001; Armaano Ajay; Akshaj Singh Bisht; Jaehyuk Cho; V. E. Sathishkumar (IEEE Access, 2024)

Point Cloud-Based 3D Object Classification With Non Local Attention and Lightweight Convolution Neural Networks. - R. Karthik 001; Rohan Inamdar; S. Kavin Sundarr; Jaehyuk Cho; Sathishkumar Veerappampalayam Easwaramoorthy (IEEE Access, 2024)

A Hybrid Deep Learning Approach for Skin Cancer Classification Using Swin Transformer and Dense Group Shuffle Non-Local Attention Network. - R. Karthik 001; R. Menaka 001; Shivansh Atre; Jaehyuk Cho; Veerappampalayam Easwaramoorthy Sathishkumar (IEEE Access, 2024)

An Empirical Analysis of Multimodal Affective Computing Approaches for Advancing Emotional Intelligence in Artificial Intelligence for Healthcare. - S. K. B. Sangeetha; Rajeswari Rajesh Immanuel; Sandeep Kumar Mathivanan 001; Jaehyuk Cho; Veerappampalayam Easwaramoorthy Sathishkumar (IEEE Access, 2024)

Secure Healthcare Access Control System (SHACS) for Anomaly Detection and Enhanced Security in Cloud-Based Healthcare Applications. - S. K. B. Sangeetha; C. Selvarathi; Sandeep Kumar Mathivanan 001; Jaehyuk Cho; Sathishkumar Veerappampalayam Easwaramoorthy (IEEE Access, 2024)

Enhancing Next-Generation Wireless Networks Using Preemptive Energy Conservation Technique. - Jagadeesh Selvaraj; Noor Alleema Nakeeb; Jaehyuk Cho; Sathishkumar Veerappampalayam Easwaramoorthy (IEEE Access, 2024)

Quantum-inspired seagull optimised deep belief network approach for cardiovascular disease prediction. - D. Banumathy; T. Vetriselvi; K. Venkatachalam; Jaehyuk Cho (PeerJ Comput. Sci., 2024)

A comprehensive review of sensor node deployment strategies for maximized coverage and energy efficiency in wireless sensor networks. - Anusuya P.; Vanitha C. N.; Jaehyuk Cho; Veerappampalayam Easwaramoorthy Sathishkumar (PeerJ Comput. Sci., 2024)

An Empirical Analysis of Transformer-Based and Convolutional Neural Network Approaches for Early Detection and Diagnosis of Cancer Using Multimodal Imaging and Genomic Data. - S. K. B. Sangeetha; Sandeep Kumar Mathivanan 001; V. Muthukumaran; Jaehyuk Cho; Veerappampalayam Easwaramoorthy Sathishkumar (IEEE Access, 2025)

Deep learning-driven methods for network-based intrusion detection systems: A systematic review. - Ramya Chinnasamy; Malliga Subramanian; Sathishkumar Veerappampalayam Easwaramoorthy; Jaehyuk Cho (ICT Express, 2025)

Optimized deep learning approach for lung cancer detection using flying fox optimization and bidirectional generative adversarial networks. - Manal Abdullah Alohali; Hamed Alqahtani; Shouki A. Ebad; Faiz Abdullah Alotaibi; K. Venkatachalam; Jaehyuk Cho (PeerJ Comput. Sci., 2025)

EEG-based schizophrenia diagnosis using deep learning with multi-scale and adaptive feature selection. - Alanoud Al Mazroa; Majdy M. Eltahir; Shouki A. Ebad; Faiz Abdullah Alotaibi; K. Venkatachalam; Jaehyuk Cho (PeerJ Comput. Sci., 2025)

Variational quantum classifier-based early identification and classification of chronic kidney disease using sparse autoencoder and LASSO shrinkage. - P. Parthasarathi; Haya Mesfer Alshahrani; K. Venkatachalam; Jaehyuk Cho (PeerJ Comput. Sci., 2025)