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A multispectral vision-based machine learning framework for non-contact vehicle weigh-in-motion. K Gao, H Zhang, G Wu. Measurement 226, 114162. , 2024. 2024. Non-contact vehicle weight identification method based on explainable machine learning models and computer vision. J Feng, K Gao, H Zhang, W Zhao, G Wu, Z Zhu.
5 days ago · zhang-etal-2017-ynu Cite (ACL): Haowei Zhang, Jin Wang, Jixian Zhang, and Xuejie Zhang. 2017. YNU-HPCC at SemEval 2017 Task 4: Using A Multi-Channel CNN-LSTM Model for Sentiment Classification. In Proceedings of the 11th International Workshop on Semantic Evaluation (SemEval-2017), pages 796–801, Vancouver, Canada. Association for ...
Publication Topics Detection Probability,Objective Function,Optimal Model,Power Allocation Problem,Radar Cross Section,Target Tracking,Cramer-Rao Lower Bound,False Alarm Ratio,Resource Allocation,Tracking Accuracy,Allocation Scheme,Background Clutter,Computational Complexity,False Alarm,Interior Point Method,Joint Power,Joint Power Allocation,Monte Carlo Trials,Multiple-input Multiple-output ...
2009. Oxide-based RRAM: Uniformity improvement using a new material-oriented methodology. B Gao, HW Zhang, S Yu, B Sun, LF Liu, XY Liu, Y Wang, RQ Han, ... 2009 Symposium on VLSI Technology, 30-31. , 2009. 177. 2009. Modeling of retention failure behavior in bipolar oxide-based resistive switching memory.
Validation of the current and pressure coupling schemes with nonlinear simulations of TAE and analysis on the linear stability of tearing mode in the presence of energetic particles. Plasma Science and Technology. 2023-04-01 | Journal article. DOI: 10.1088/2058-6272/aca6c0. Contributors : Haowei ZHANG; Zhiwei MA. Show more detail.
Recent studies show that multi-modal data fusion techniques combine information from diverse sources for comprehensive diagnosis and prognosis of complex brain disorder, often resulting in improved accuracy compared to single-modality approaches. However, many existing data fusion methods extract fe …
The International Journal of Robotics Research 42 (1-2), 33-42. , 2023. 44. 2023. Unsupervised learning of lidar features for use ina probabilistic trajectory estimator. DJ Yoon, H Zhang, M Gridseth, H Thomas, TD Barfoot. IEEE Robotics and Automation Letters 6 (2), 2130-2138. , 2021.
