| An integrated mediapipe-optimized GRU model for Indian sign language recognition B Subramanian, B Olimov, SM Naik, S Kim, KH Park, J Kim Scientific Reports 12 (1), 11964, 2022 | 61 | 2022 |
| Blockchain for public health care in smart society MJ Gul, B Subramanian, A Paul, J Kim Microprocessors and Microsystems 80, 103524, 2021 | 47 | 2021 |
| Missing data imputation for geolocation-based price prediction using KNN–MCF method K Sanjar, O Bekhzod, J Kim, A Paul, J Kim ISPRS International Journal of Geo-Information 9 (4), 227, 2020 | 45 | 2020 |
| FU-Net: fast biomedical image segmentation model based on bottleneck convolution layers B Olimov, K Sanjar, S Din, A Ahmad, A Paul, J Kim Multimedia Systems, 1-14, 2021 | 36 | 2021 |
| Machine learning–based automated image processing for quality management in industrial Internet of Things N Rahmatov, A Paul, F Saeed, WH Hong, HC Seo, J Kim International Journal of Distributed Sensor Networks 15 (10), 1550147719883551, 2019 | 33 | 2019 |
| Weight initialization based‐rectified linear unit activation function to improve the performance of a convolutional neural network model B Olimov, S Karshiev, E Jang, S Din, A Paul, J Kim Concurrency and Computation: Practice and Experience 33 (22), e6143, 2021 | 31 | 2021 |
| Digital twin model: A real-time emotion recognition system for personalized healthcare B Subramanian, J Kim, M Maray, A Paul IEEE Access 10, 81155-81165, 2022 | 25 | 2022 |
| Improved U-Net: Fully convolutional network model for skin-lesion segmentation K Sanjar, O Bekhzod, J Kim, J Kim, A Paul, J Kim Applied Sciences 10 (10), 3658, 2020 | 25 | 2020 |
| REF-Net: robust, efficient, and fast network for semantic segmentation applications using devices with limited computational resources B Olimov, J Kim, A Paul IEEE Access 9, 15084-15098, 2021 | 16 | 2021 |
| Weight dropout for preventing neural networks from overfitting K Sanjar, A Rehman, A Paul, K JeongHong 2020 8th International conference on orange technology (ICOT), 1-4, 2020 | 13 | 2020 |
| Consecutive multiscale feature learning-based image classification model B Olimov, B Subramanian, RAA Ugli, JS Kim, J Kim Scientific Reports 13 (1), 3595, 2023 | 12 | 2023 |
| Dcbt-net: Training deep convolutional neural networks with extremely noisy labels B Olimov, J Kim, A Paul IEEE Access 8, 220482-220495, 2020 | 11 | 2020 |
| AEDCN-Net: Accurate and efficient deep convolutional neural network model for medical image segmentation B Olimov, SJ Koh, J Kim IEEE Access 9, 154194-154203, 2021 | 10 | 2021 |
| An efficient deep convolutional neural network for semantic segmentation B Olimov, J Kim, A Paul, B Subramanian 2020 8th International Conference on Orange Technology (ICOT), 1-9, 2020 | 7 | 2020 |
| Extensive knowledge distillation model: An end-to-end effective anomaly detection model for real-time industrial applications AAU Rakhmonov, B Subramanian, B Olimov, J Kim IEEE Access, 2023 | 6 | 2023 |
| Quickest path selection towards the destination in urban environment E Jang, K Sanjar, A Rehman, J Kim 2019 Eleventh International Conference on Ubiquitous and Future Networks …, 2019 | 6 | 2019 |
| Deepcleannet: Training deep convolutional neural network with extremely noisy labels B Olimov, J Kim J. Korea Multimed. Soc 23, 1349-1360, 2020 | 3 | 2020 |
| Energy efficient topology management scheme based on clustering technique for software defined wireless sensor network (Retraction of Vol 12, Pg 348, 2019) S Din, A Paul, A Ahmad, JH Kim PEER-TO-PEER NETWORKING AND APPLICATIONS, 2022 | 2 | 2022 |
| Fast Convergence GRU Model for Sign Language Recognition B Subramanian, B Olimov, J Kim 멀티미디어학회논문지 25 (9), 1257-1265, 2022 | 1 | 2022 |
| Unsupervised deep learning-based end-to-end network for anomaly detection and localization B Olimov, B Subramanian, J Kim 2022 Thirteenth International Conference on Ubiquitous and Future Networks …, 2022 | 1 | 2022 |
