City-wide traffic congestion prediction based on CNN, LSTM and transpose CNN N Ranjan, S Bhandari, HP Zhao, H Kim, P Khan Ieee Access 8, 81606-81620, 2020 | 138 | 2020 |
Large-scale road network congestion pattern analysis and prediction using deep convolutional autoencoder N Ranjan, S Bhandari, P Khan, YS Hong, H Kim Sustainability 13 (9), 5108, 2021 | 22 | 2021 |
Deep learning-based content caching in the fog access points S Bhandari, N Ranjan, P Khan, H Kim, YS Hong Electronics 10 (4), 512, 2021 | 17 | 2021 |
Optimal Cache Resource Allocation Based on Deep Neural Networks for Fog Radio Access Networks S Bhandari, H Kim, N Ranjan, HP Zhao, P Khan J. Internet Technol 21, 967-975, 2020 | 13 | 2020 |
Large-scale road network traffic congestion prediction based on recurrent high-resolution network S Ranjan, YC Kim, N Ranjan, S Bhandari, H Kim Applied Sciences 13 (9), 5512, 2023 | 5 | 2023 |
Deep reinforcement learning for dynamic spectrum access in the multi-channel wireless local area networks S Bhandari, N Ranjan, YC Kim, H Kim 2022 International Conference on Electronics, Information, and Communication …, 2022 | 5 | 2022 |
An automatic data completeness check framework for Open Government Data S Bhandari, N Ranjan, YC Kim, JD Park, KI Hwang, WH Kim, YS Hong, ... Applied Sciences 11 (19), 9270, 2021 | 5 | 2021 |
LRP-QViT: Mixed-Precision Vision Transformer Quantization via Layer-wise Relevance Propagation N Ranjan, A Savakis arXiv preprint arXiv:2401.11243, 2024 | 4 | 2024 |
Convolutional neural network based power crane defect analysis N Ranjan, S Bhandari, YS Hong, H Kim 2021 IEEE Region 10 Symposium (TENSYMP), 1-4, 2021 | 3 | 2021 |
Video Frame Prediction by Joint Optimization of Direct Frame Synthesis and Optical-Flow Estimation HK Navin Ranjan, Sovit Bhandari, Yeong-Chan Kim Computers, Materials & Continua 75 (2), 2615-2639, 2023 | 2* | 2023 |
Polycrystalline silicon wafer scratch segmentation based on deep convolutional autoencoder N Ranjan, S Bhandari, YC Kim, H Kim 2022 International Conference on Electronics, Information, and Communication …, 2022 | 2 | 2022 |
Artificial Intelligence Enabled Fog Radio Access Networks: A Case Study S Bhandari, N Ranjan, H Zhao, H Kim 대한전자공학회 학술대회, 993-997, 2019 | 2 | 2019 |
Neural Network Learning-based Traffic Jam Prediction Technique N Ranjan, S Bhandari, H Zhao, H Kim 대한전자공학회 학술대회, 951-954, 2019 | 2 | 2019 |
A Fairness of Data Combination in Wireless Packet Scheduling S Bhandari, N Ranjan, YC Kim, P Khan, H Kim Sensors 22 (4), 1658, 2022 | 1 | 2022 |
Analysis of correlation between regional traffic congestion index and population distribution N Ranjan, S Bhandari, H Zhao, H Kim 대한전자공학회 학술대회, 955-958, 2019 | 1 | 2019 |
Vision transformer quantization with multi-step knowledge distillation N Ranjan, A Savakis Signal Processing, Sensor/Information Fusion, and Target Recognition XXXIII …, 2024 | | 2024 |
Waterfall Transformer for Multi-person Pose Estimation N Ranjan, B Artacho, A Savakis Computer Vision and Pattern Recognition (CVPR), 2023 | | 2023 |
Dual-stage, Q-learning based, Shortest-path Routing Computing Scheme: Evaluated A Case Study on Illegal-parking Surveillance Networks N Ranjan, S Bhandari, YC Kim, H Kim IEIE Transactions on Smart Processing & Computing 11 (3), 183-198, 2022 | | 2022 |
A Study on Challenges of AI Ethics in Next Generation Wireless Networks Y Kim, N Ranjan, S Bhandari, H Kim ICT-Convergence 2022 (ICAEIC-2022), 2022 | | 2022 |
A Deep Learning Approach for Prediction of Air Quality Index Y Kim, N Ranjan, J Kim, J Park, D Yang, H Kim 대한전자공학회 학술대회, 1005-1008, 2021 | | 2021 |