Blockchain technology in current agricultural systems: from techniques to applications W Lin, X Huang, H Fang, V Wang, Y Hua, J Wang, H Yin, D Yi, L Yau IEEE Access 8, 143920-143937, 2020 | 120 | 2020 |
Aerial visual perception in smart farming: Field study of wheat yellow rust monitoring J Su, D Yi, B Su, Z Mi, C Liu, X Hu, X Xu, L Guo, WH Chen IEEE transactions on industrial informatics 17 (3), 2242-2249, 2020 | 103 | 2020 |
HEER–A delay-aware and energy-efficient routing protocol for wireless sensor networks D Yi, H Yang Computer Networks 104, 155-173, 2016 | 78 | 2016 |
A machine learning based personalized system for driving state recognition D Yi, J Su, C Liu, M Quddus, WH Chen Transportation Research Part C: Emerging Technologies 105, 241-261, 2019 | 64 | 2019 |
Dimension reduction aided hyperspectral image classification with a small-sized training dataset: experimental comparisons J Su, D Yi, C Liu, L Guo, WH Chen Sensors 17 (12), 2726, 2017 | 50 | 2017 |
Trajectory clustering aided personalized driver intention prediction for intelligent vehicles D Yi, J Su, C Liu, WH Chen IEEE Transactions on Industrial Informatics 15 (6), 3693-3702, 2018 | 48 | 2018 |
A survey on imitation learning techniques for end-to-end autonomous vehicles L Le Mero, D Yi, M Dianati, A Mouzakitis IEEE Transactions on Intelligent Transportation Systems 23 (9), 14128-14147, 2022 | 37 | 2022 |
Personalized driver workload inference by learning from vehicle related measurements D Yi, J Su, C Liu, WH Chen IEEE Transactions on Systems, Man, and Cybernetics: Systems 49 (1), 159-168, 2017 | 33 | 2017 |
Implicit personalization in driving assistance: State-of-the-art and open issues D Yi, J Su, L Hu, C Liu, M Quddus, M Dianati, WH Chen IEEE Transactions on Intelligent Vehicles 5 (3), 397-413, 2019 | 30 | 2019 |
Probabilistic faster R-CNN with stochastic region proposing: Towards object detection and recognition in remote sensing imagery D Yi, J Su, WH Chen Neurocomputing 459, 290-301, 2021 | 22 | 2021 |
Spectral analysis and mapping of blackgrass weed by leveraging machine learning and UAV multispectral imagery J Su, D Yi, M Coombes, C Liu, X Zhai, K McDonald-Maier, WH Chen Computers and Electronics in Agriculture 192, 106621, 2022 | 19 | 2022 |
New driver workload prediction using clustering-aided approaches D Yi, J Su, C Liu, WH Chen IEEE Transactions on Systems, Man, and Cybernetics: Systems 49 (1), 64-70, 2018 | 17 | 2018 |
Data-driven situation awareness algorithm for vehicle lane change D Yi, J Su, C Liu, WH Chen 2016 IEEE 19th International Conference on Intelligent Transportation …, 2016 | 10 | 2016 |
Fine-grained RNN with transfer learning for energy consumption estimation on EVs Y Hua, M Sevegnani, D Yi, A Birnie, S McAslan IEEE Transactions on Industrial Informatics 18 (11), 8182-8190, 2022 | 7 | 2022 |
Locust recognition and detection via aggregate channel features D Yi, J Su, WH Chen Poster Papers, 112, 2019 | 6 | 2019 |
Synthetic to realistic imbalanced domain adaption for urban scene perception Y Hua, D Yi IEEE Transactions on Industrial Informatics 18 (5), 3248-3255, 2021 | 3 | 2021 |
Improving synthetic to realistic semantic segmentation with parallel generative ensembles for autonomous urban driving D Yi, H Fang, Y Hua, J Su, M Quddus, J Han IEEE Transactions on Cognitive and Developmental Systems 14 (4), 1496-1506, 2021 | 2 | 2021 |
Deep ensembles for semantic segmentation on road detection D Uzun, D Yi 2021 26th International Conference on Automation and Computing (ICAC), 1-6, 2021 | 2 | 2021 |
Brain-inspired deep imitation learning for autonomous driving systems HB Ahmedov, D Yi, J Sui arXiv preprint arXiv:2107.14654, 2021 | 2 | 2021 |
Multi-stage Bias Mitigation for Individual Fairness in Algorithmic Decisions A Ghadage, D Yi, G Coghill, W Pang IAPR Workshop on Artificial Neural Networks in Pattern Recognition, 40-52, 2022 | 1 | 2022 |