Internet-of-things-enabled serious games: A comprehensive survey S Ahmad, S Umirzakova, F Jamil, TK Whangbo Future Generation Computer Systems 136, 67-83, 2022 | 28 | 2022 |
Medical image super-resolution for smart healthcare applications: A comprehensive survey S Umirzakova, S Ahmad, LU Khan, T Whangbo Information Fusion, 102075, 2023 | 21 | 2023 |
Novel video surveillance-based fire and smoke classification using attentional feature map in capsule networks M Shakhnoza, U Sabina, M Sevara, YI Cho Sensors 22 (1), 98, 2021 | 16 | 2021 |
Fully Automatic Stroke Symptom Detection Method Based on Facial Features and Moving Hand Differences S Umirzakova, A Abdusalomov, TK Whangbo 2019 International Symposium on Multimedia and Communication Technology …, 2019 | 16 | 2019 |
Education 5.0: requirements, enabling technologies, and future directions S Ahmad, S Umirzakova, G Mujtaba, MS Amin, T Whangbo arXiv preprint arXiv:2307.15846, 2023 | 15 | 2023 |
Deep learning-driven diagnosis: A multi-task approach for segmenting stroke and Bell's palsy S Umirzakova, S Ahmad, S Mardieva, S Muksimova, TK Whangbo Pattern Recognition 144, 109866, 2023 | 8 | 2023 |
Detailed feature extraction network-based fine-grained face segmentation S Umirzakova, TK Whangbo Knowledge-Based Systems 250, 109036, 2022 | 7 | 2022 |
Edge‐based effective active appearance model for real‐time wrinkle detection U Sabina, TK Whangbo Skin Research and Technology 27 (3), 444-452, 2021 | 6 | 2021 |
Enhancing the Super-Resolution of Medical Images: Introducing the Deep Residual Feature Distillation Channel Attention Network for Optimized Performance and Efficiency S Umirzakova, S Mardieva, S Muksimova, S Ahmad, T Whangbo Bioengineering 10 (11), 1332, 2023 | 5 | 2023 |
Lightweight image super-resolution for IoT devices using deep residual feature distillation network S Mardieva, S Ahmad, S Umirzakova, MJA Rasool, TK Whangbo Knowledge-Based Systems 285, 111343, 2024 | 4 | 2024 |
Nasolabial Wrinkle Segmentation Based on Nested Convolutional Neural Network U Sabina, TK Whangbo 2021 International Conference on Information and Communication Technology …, 2021 | 4 | 2021 |
Study on detect stroke symptoms using face features S Umirzakova, TK Whangbo 2018 International Conference on Information and Communication Technology …, 2018 | 4 | 2018 |
Strabismus classification using face features SM Jung, S Umirzakova, TK Whangbo 2019 International Symposium on Multimedia and Communication Technology …, 2019 | 3 | 2019 |
Enhancing medical image denoising with innovative teacher–student model-based approaches for precision diagnostics S Muksimova, S Umirzakova, S Mardieva, YI Cho Sensors 23 (23), 9502, 2023 | 2 | 2023 |
A Study on the Classification of Stroke Using Machine Learning Technology M Chae, U Sabina, T Whangbo Journal of Next-generation Convergence Information Services Technology 10 (1 …, 2021 | 2 | 2021 |
KONet: Towards a Weighted Ensemble Learning Model for Knee Osteoporosis Classification MJA Rasool, S Ahmed, U Sabina, TK Whangbo IEEE Access, 2024 | 1 | 2024 |
CerviLearnNet: Advancing cervical cancer diagnosis with reinforcement learning-enhanced convolutional networks S Muksimova, S Umirzakova, S Kang, Y Im Cho Heliyon 10 (9), 2024 | | 2024 |
Deep Residual Feature Distillation Network for Lightweight Image Super Resolution S Mardieva, U Sabina, S Ahmad, TK Whangbo 한국방송미디어공학회 학술발표대회 논문집, 306-309, 2023 | | 2023 |
MRESR: Multi-agent Reinforcement learning for Efficient Super-Resolution MJA Rasool, S Ahmed, U Sabina, TJ Whangbo 한국방송미디어공학회 학술발표대회 논문집, 460-463, 2023 | | 2023 |
Detailed feature extraction network-based fine-grained face segmentation U Sabina, TK Whangbo Elsevier, 2022 | | 2022 |