Development of Visual Inspection System for Assembly Machine. - Jeonghong Kim (ICUFN, 2018)

Quickest Path Selection Towards the Destination in Urban Environment. - Eungyeong Jang; Karshiev Sanjar; Abdul Rehman 003; Jeonghong Kim (ICUFN, 2019)

DCBT-Net: Training Deep Convolutional Neural Networks With Extremely Noisy Labels. - Bekhzod Olimov; Jeonghong Kim; Anand Paul 001 (IEEE Access, 2020)

Missing Data Imputation for Geolocation-based Price Prediction Using KNN-MCF Method. - Karshiev Sanjar; Bekhzod Olimov; Jaesoo Kim; Anand Paul 001; Jeonghong Kim (ISPRS Int. J. Geo Inf., 2020)

Blockchain Expansion to secure Assets with Fog Node on special Duty. - M. Junaid Gul; Abdul Rehman 003; Anand Paul 001; Seungmin Rho; Rabia Riaz; Jeonghong Kim (Soft Comput., 2020)

REF-Net: Robust, Efficient, and Fast Network for Semantic Segmentation Applications Using Devices With Limited Computational Resources. - Bekhzod Olimov; Jeonghong Kim; Anand Paul 001 (IEEE Access, 2021)

AEDCN-Net: Accurate and Efficient Deep Convolutional Neural Network Model for Medical Image Segmentation. - Bekhzod Olimov; Seok-Joo Koh; Jeonghong Kim (IEEE Access, 2021)

Weight initialization based-rectified linear unit activation function to improve the performance of a convolutional neural network model. - Bekhzod Olimov; Karshiev Sanjar; Eungyeong Jang; Sadia Din; Anand Paul 001; Jeonghong Kim (Concurr. Comput. Pract. Exp., 2021)

Blockchain for public health care in smart society. - M. Junaid Gul; Barathi Subramanian; Anand Paul 001; Jeonghong Kim (Microprocess. Microsystems, 2021)

FU-Net: fast biomedical image segmentation model based on bottleneck convolution layers. - Bekhzod Olimov; Karshiev Sanjar; Sadia Din; Awais Ahmad 001; Anand Paul 001; Jeonghong Kim (Multim. Syst., 2021)

Unsupervised Deep Learning-based End-to-end Network for Anomaly Detection and Localization. - Bekhzod Olimov; Barathi Subramanian; Jeonghong Kim (ICUFN, 2022)

Digital Twin Model: A Real-Time Emotion Recognition System for Personalized Healthcare. - Barathi Subramanian; Jeonghong Kim; Mohammed Maray; Anand Paul 001 (IEEE Access, 2022)

UzADL: Anomaly detection and localization using graph Laplacian matrix-based unsupervised learning method. - Bekhzod Alisher ugli Olimov; Kalyana C. Veluvolu; Anand Paul 001; Jeonghong Kim (Comput. Ind. Eng., 2022)

Airy YOLOv5 for Disabled Sign Detection. - Akhrorjon Akhmadjon Ugli Rakhmonov; Barathi Subramanian; Taehun Kim; Jeonghong Kim (ICUFN, 2023)

Extensive Knowledge Distillation Model: An End-to-End Effective Anomaly Detection Model for Real-Time Industrial Applications. - Akhrorjon Akhmadjon Ugli Rakhmonov; Barathi Subramanian; Bekhzod Olimov; Jeonghong Kim (IEEE Access, 2023)

APALU: A Trainable, Adaptive Activation Function for Deep Learning Networks. - Barathi Subramanian; Rathinaraja Jeyaraj; Akhrorjon Akhmadjon Ugli Rakhmonov; Jeonghong Kim (CoRR, 2024)

Enhancing Sequential Model Performance with Squared Sigmoid TanH (SST) Activation Under Data Constraints. - Barathi Subramanian; Rathinaraja Jeyaraj; Akhrorjon Akhmadjon Ugli Rakhmonov; Jeonghong Kim (CoRR, 2024)

Enforced clustering for zero-to-one-shot texture anomaly detection. - Bahar Amirian Varnousefaderani; Akhrorjon Akhmadjon Ugli Rakhmonov; Jae-Soo Kim; Jeonghong Kim (Mach. Vis. Appl., 2025)

A hybrid unsupervised-weakly supervised method for video anomaly detection. - Akhrorjon Akhmadjon Ugli Rakhmonov; Bahar Amirian Varnousefaderani; Jeonghong Kim (Pattern Anal. Appl., 2025)