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Bekhzod Olimov
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- affiliation: Kyungpook National University, Computer Science and Engineering Department, Korea
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2020 – today
- 2023
- [j8]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) - 2022
- [j7]Bekhzod Alisher ugli Olimov
UzADL: Anomaly detection and localization using graph Laplacian matrix-based unsupervised learning method. Comput. Ind. Eng. 171: 108313 (2022) - [c1]Bekhzod Olimov
Unsupervised Deep Learning-based End-to-end Network for Anomaly Detection and Localization. ICUFN 2022: 444-449 - 2021
- [j6]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) - [j5]Bekhzod Olimov
AEDCN-Net: Accurate and Efficient Deep Convolutional Neural Network Model for Medical Image Segmentation. IEEE Access 9: 154194-154203 (2021) - [j4]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) - [j3]Bekhzod Olimov
FU-Net: fast biomedical image segmentation model based on bottleneck convolution layers. Multim. Syst. 27(4): 637-650 (2021) - 2020
- [j2]Bekhzod Olimov
DCBT-Net: Training Deep Convolutional Neural Networks With Extremely Noisy Labels. IEEE Access 8: 220482-220495 (2020) - [j1]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)
Coauthor Index
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