Jaehyuk Cho

According to our database, Jaehyuk Cho authored at least 17 papers between 2020 and 2025.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2025

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, V. Muthukumaran, Jaehyuk Cho, Veerappampalayam Easwaramoorthy Sathishkumar

IEEE Access, 2025

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

Quantum-inspired seagull optimised deep belief network approach for cardiovascular disease prediction.

D. Banumathy, T. Vetriselvi, K. Venkatachalam, Jaehyuk Cho

PeerJ Comput. Sci., 2024

Enhancing Next-Generation Wireless Networks Using Preemptive Energy Conservation Technique.

Jagadeesh Selvaraj, Noor Alleema Nakeeb, Jaehyuk Cho, Sathishkumar Veerappampalayam Easwaramoorthy

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, Jaehyuk Cho, Sathishkumar Veerappampalayam Easwaramoorthy

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, Jaehyuk Cho, Veerappampalayam Easwaramoorthy Sathishkumar

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, R. Menaka, Shivansh Atre, Jaehyuk Cho, Veerappampalayam Easwaramoorthy Sathishkumar

IEEE Access, 2024

Point Cloud-Based 3D Object Classification With Non Local Attention and Lightweight Convolution Neural Networks.

R. Karthik, Rohan Inamdar, S. Kavin Sundarr, Jaehyuk Cho, Sathishkumar Veerappampalayam Easwaramoorthy

IEEE Access, 2024

An Explainable Deep Learning Network for Environmental Microorganism Classification Using Attention-Enhanced Semi-Local Features.

R. Karthik, Armaano Ajay, Akshaj Singh Bisht, Jaehyuk Cho, V. E. Sathishkumar

IEEE Access, 2024

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, December, 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., March, 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., February, 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

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

Noise Reduction Caused by External Events in Wireless Sensor Network.

Trinh Thuc Lai, Jaehyuk Cho, Myungsik Yoo

Proceedings of the International Conference on Information Networking, 2023

2021

An Ensemble Method for Missing Data of Environmental Sensor Considering Univariate and Multivariate Characteristics.

Chanyoung Choi, Haewoong Jung, Jaehyuk Cho

Sensors, 2021

2020

Data Clustering Method Using Efficient Fuzzifier Values Derivation.

Jaehyuk Cho, Wonhee Joo

IEEE Access, 2020