| Brain tumor detection based on deep learning approaches and magnetic resonance imaging AB Abdusalomov, M Mukhiddinov, TK Whangbo Cancers 15 (16), 4172, 2023 | 169 | 2023 |
| An improved forest fire detection method based on the detectron2 model and a deep learning approach AB Abdusalomov, BMDS Islam, R Nasimov, M Mukhiddinov, TK Whangbo Sensors 23 (3), 1512, 2023 | 108 | 2023 |
| Fire detection method in smart city environments using a deep-learning-based approach K Avazov, M Mukhiddinov, F Makhmudov, YI Cho Electronics 11 (1), 73, 2021 | 107 | 2021 |
| Smart glass system using deep learning for the blind and visually impaired M Mukhiddinov, J Cho Electronics 10 (22), 2756, 2021 | 84 | 2021 |
| Improved classification approach for fruits and vegetables freshness based on deep learning M Mukhiddinov, A Muminov, J Cho Sensors 22 (21), 8192, 2022 | 82 | 2022 |
| Masked face emotion recognition based on facial landmarks and deep learning approaches for visually impaired people M Mukhiddinov, O Djuraev, F Akhmedov, A Mukhamadiyev, J Cho Sensors 23 (3), 1080, 2023 | 70 | 2023 |
| Automatic fire detection and notification system based on improved YOLOv4 for the blind and visually impaired M Mukhiddinov, AB Abdusalomov, J Cho Sensors 22 (9), 3307, 2022 | 69 | 2022 |
| A wildfire smoke detection system using unmanned aerial vehicle images based on the optimized YOLOv5 M Mukhiddinov, AB Abdusalomov, J Cho Sensors 22 (23), 9384, 2022 | 68 | 2022 |
| Improved real-time fire warning system based on advanced technologies for visually impaired people AB Abdusalomov, M Mukhiddinov, A Kutlimuratov, TK Whangbo Sensors 22 (19), 7305, 2022 | 58 | 2022 |
| Improved face detection method via learning small faces on hard images based on a deep learning approach D Mamieva, AB Abdusalomov, M Mukhiddinov, TK Whangbo Sensors 23 (1), 502, 2023 | 53 | 2023 |
| An improved wildfire smoke detection based on YOLOv8 and UAV images SN Saydirasulovich, M Mukhiddinov, O Djuraev, A Abdusalomov, YI Cho Sensors 23 (20), 8374, 2023 | 52 | 2023 |
| Development of real-time landmark-based emotion recognition CNN for masked faces A Farkhod, AB Abdusalomov, M Mukhiddinov, YI Cho Sensors 22 (22), 8704, 2022 | 48 | 2022 |
| Automatic salient object extraction based on locally adaptive thresholding to generate tactile graphics A Abdusalomov, M Mukhiddinov, O Djuraev, U Khamdamov, TK Whangbo Applied Sciences 10 (10), 3350, 2020 | 44 | 2020 |
| A systematic literature review on the automatic creation of tactile graphics for the blind and visually impaired M Mukhiddinov, SY Kim Processes 9 (10), 1726, 2021 | 43 | 2021 |
| Improvement of the end-to-end scene text recognition method for “text-to-speech” conversion F Makhmudov, M Mukhiddinov, A Abdusalomov, K Avazov, ... International Journal of Wavelets, Multiresolution and Information …, 2020 | 27 | 2020 |
| Development of language models for continuous Uzbek speech recognition system A Mukhamadiyev, M Mukhiddinov, I Khujayarov, M Ochilov, J Cho Sensors 23 (3), 1145, 2023 | 25 | 2023 |
| An improvement for the automatic classification method for ultrasound images used on CNN K Avazov, A Abdusalomov, M Mukhiddinov, N Baratov, F Makhmudov, ... International Journal of Wavelets, Multiresolution and Information …, 2022 | 24 | 2022 |
| Salient region extraction based on global contrast enhancement and saliency cut for image information recognition of the visually impaired H Yoon, BH Kim, M Mukhriddin, J Cho KSII Transactions on Internet and Information Systems (TIIS) 12 (5), 2287-2312, 2018 | 21* | 2018 |
| Parking lot occupancy detection with improved MobileNetV3 Y Yuldashev, M Mukhiddinov, AB Abdusalomov, R Nasimov, J Cho Sensors 23 (17), 7642, 2023 | 15 | 2023 |
| Algorithms of multidimensional signals processing based on cubic basis splines for information systems and processes U Khamdamov, A Abdullayev, M Mukhiddinov, S Xalilov Journal of Applied Science and Engineering 24 (2), 141-150, 2021 | 12 | 2021 |
Dr. Akmalbek AbdusalomovAssistant Professor, Gachon, TUIT, TSUE UniversitiesVerifisert e-postadresse på gachon.ac.kr