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Jeonghong Kim
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2020 – today
- 2024
- [i2]Barathi Subramanian, Rathinaraja Jeyaraj, Akhrorjon Akhmadjon Ugli Rakhmonov, Jeonghong Kim:
APALU: A Trainable, Adaptive Activation Function for Deep Learning Networks. CoRR abs/2402.08244 (2024) - [i1]Barathi Subramanian, Rathinaraja Jeyaraj, Akhrorjon Akhmadjon Ugli Rakhmonov, Jeonghong Kim:
Enhancing Sequential Model Performance with Squared Sigmoid TanH (SST) Activation Under Data Constraints. CoRR abs/2402.09034 (2024) - 2023
- [j11]Akhrorjon Akhmadjon Ugli Rakhmonov
, Barathi Subramanian
Extensive Knowledge Distillation Model: An End-to-End Effective Anomaly Detection Model for Real-Time Industrial Applications. IEEE Access 11: 69750-69761 (2023) - [c4]Akhrorjon Akhmadjon Ugli Rakhmonov, Barathi Subramanian, Taehun Kim, Jeonghong Kim:
Airy YOLOv5 for Disabled Sign Detection. ICUFN 2023: 869-874 - 2022
- [j10]Barathi Subramanian
Digital Twin Model: A Real-Time Emotion Recognition System for Personalized Healthcare. IEEE Access 10: 81155-81165 (2022) - [j9]Bekhzod Alisher ugli Olimov
UzADL: Anomaly detection and localization using graph Laplacian matrix-based unsupervised learning method. Comput. Ind. Eng. 171: 108313 (2022) - [c3]Bekhzod Olimov
Unsupervised Deep Learning-based End-to-end Network for Anomaly Detection and Localization. ICUFN 2022: 444-449 - 2021
- [j8]Bekhzod Olimov
REF-Net: Robust, Efficient, and Fast Network for Semantic Segmentation Applications Using Devices With Limited Computational Resources. IEEE Access 9: 15084-15098 (2021) - [j7]Bekhzod Olimov
AEDCN-Net: Accurate and Efficient Deep Convolutional Neural Network Model for Medical Image Segmentation. IEEE Access 9: 154194-154203 (2021) - [j6]Bekhzod Olimov
Weight initialization based-rectified linear unit activation function to improve the performance of a convolutional neural network model. Concurr. Comput. Pract. Exp. 33(22) (2021) - [j5]M. Junaid Gul
Blockchain for public health care in smart society. Microprocess. Microsystems 80: 103524 (2021) - [j4]Bekhzod Olimov
FU-Net: fast biomedical image segmentation model based on bottleneck convolution layers. Multim. Syst. 27(4): 637-650 (2021) - 2020
- [j3]Bekhzod Olimov
DCBT-Net: Training Deep Convolutional Neural Networks With Extremely Noisy Labels. IEEE Access 8: 220482-220495 (2020) - [j2]Karshiev Sanjar, Bekhzod Olimov
Missing Data Imputation for Geolocation-based Price Prediction Using KNN-MCF Method. ISPRS Int. J. Geo Inf. 9(4): 227 (2020) - [j1]M. Junaid Gul
Blockchain Expansion to secure Assets with Fog Node on special Duty. Soft Comput. 24(20): 15209-15221 (2020)
2010 – 2019
- 2019
- [c2]Eungyeong Jang, Karshiev Sanjar, Abdul Rehman
Quickest Path Selection Towards the Destination in Urban Environment. ICUFN 2019: 623-628 - 2018
- [c1]Jeonghong Kim:
Development of Visual Inspection System for Assembly Machine. ICUFN 2018: 859-861
Coauthor Index
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