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Publication search results
found 44 matches
- 2023
- Yanli Liu, Yihua Sun, Li-Ying Hao:
Novel TD-based Adaptive Control for Nonlinearly Parameterized Stochastic Systems. NCAA (2) 2023: 519-531 - Xusheng Chen, Wanjun Hou, Yizhen Peng:
Degradation Modelling and Remaining Useful Life Prediction Methods Based on Time Series Generative Prediction Networks. NCAA (2) 2023: 318-329 - Weiyang Chen, Yuhao Liu, Yang Lu, Weizhen Han, Bingyi Liu:
An Adaptive Clustering Approach for Efficient Data Dissemination in IoV. NCAA (2) 2023: 387-402 - Lixian Chen, Hongda Liu, Chongqi Sun, Yi Wang, Yongheng Hu:
Data-Model Intergrowth Makes Better Time Series Prediction. NCAA (2) 2023: 333-344 - Jingwen Chen, Xingyi Liu, Mingzhi Wang, Yongli Xiao, Dianhui Chu, Chunshan Li, Feng Wang:
ASIM: Explicit Slot-Intent Mapping with Attention for Joint Multi-intent Detection and Slot Filling. NCAA (2) 2023: 215-228 - Zeyu Chen, Xiaohong Xiang, Xin Deng, Qi Wang:
Stepwise Fusion Transformer for Affective Video Content Analysis. NCAA (2) 2023: 375-386 - Guanhua Chen, Qiqi Xu, Choujun Zhan, Fu Lee Wang, Kuanyan Zhu, Hai Liu, Tianyong Hao:
A Triplet-Contrastive Representation Learning Strategy for Open Intent Detection. NCAA (2) 2023: 229-244 - Libing Chen, Wenjing Zhang, Yiling Tan:
Applicability Method for Identification of Power Inspection Evidence in Multiple Business Scenarios. NCAA (2) 2023: 75-89 - Conglin Gao, Shouyin Lu, Xinjian Gu, Xinyun Hu:
Improved YOLOv5s Based Steel Leaf Spring Identification. NCAA (2) 2023: 3-17 - Yu Guo, Zhuo Chen, Qi Wang, Tao Bao, Zexing Zhou:
Investigating the Transferability of YOLOv5-Based Water Surface Object Detection Model in Maritime Applications. NCAA (2) 2023: 103-115 - Ruhan He, Cheng Quan:
A Clothing Classification Network with Manifold Structure Based on Second-Order Convolution. NCAA (2) 2023: 132-146 - Le Hong, Weicheng Cui:
Strategy Determination for Multiple USVs: A Min-max Q-learning Approach. NCAA (2) 2023: 403-417 - Zhengyang Hou, Jingeng Fang, Yao Huang, Lulu Sun, Choujun Zhan, Kim-Fung Tsang:
A Long Short-term Memory Model for COVID-19 Forecasting Using High-efficiency Feature Representation. NCAA (2) 2023: 359-374 - Bin Hu, Wenkai Hu, Peng Zhang, Weihua Cao:
Anomaly Detection and Alarm Limit Design for In-Hole Bit Bounce Based on Interval Augmented Mahalanobis Distance. NCAA (2) 2023: 545-558 - Rizhong Huang, Menghua Zhang, Ke Huang, Weijie Huang:
A Deep Learning Algorithm for Synthesizing Magnetic Resonance Images from Spine Computed Tomography Images using Mixed Loss Functions. NCAA (2) 2023: 90-102 - Leiming Kang, Wenhui Zhang, Mengfan Guo:
A Study of Chinese-English Translation Teaching Based on Data Mining. NCAA (2) 2023: 505-515 - Qixin Lan, Binqiang Chen, Bin Yao, Wangpeng He:
Unsupervised Deep Transfer Learning Model for Tool Wear States Recognition. NCAA (2) 2023: 279-290 - Yiying Li, Bo Wang, Lijun Zhang, Lei Liu, Huijin Fan:
A Neural Approach Towards Real-time Management for Integrated Energy System Incorporating Carbon Trading and Electrical Vehicle Scheduling. NCAA (2) 2023: 561-575 - Bazhou Li, Feichao Di, Yang Li, Quan Luo, Jingjing Cao, Qiangwei Zhao:
A Bughole Detection Approach for Fair-Faced Concrete Based on Improved YOLOv5. NCAA (2) 2023: 18-31 - Yuyan Li, Jingsong Xie, Tiantian Wang, Jinsong Yang, Buyao Yang:
Multi-Feature Fusion and Reinforcement Model for High-Speed Train Axle Box Bearing Fault Diagnosis Under Variable Speed Domain. NCAA (2) 2023: 303-317 - Xiaofeng Li, Liangwu Yu, Hantao Chen, Yue Zhang, Tao Zhang:
Fault Diagnosis of High-Voltage Circuit Breakers via Hybrid Classifier by DS Evidence Fusion Algorithm. NCAA (2) 2023: 291-302 - Yiming Liu, Yunchu Zhang, Yanfei Zhou, Xinyi Zhang:
Joint Attention Mechanism of YOLOv5s for Coke Oven Smoke and Fire Recognition Algorithm. NCAA (2) 2023: 162-176 - Shaopei Long, Zhenguo Yang, Yong Li, Xiaobo Qian, Kun Zeng, Tianyong Hao:
MAMF: A Multi-Level Attention-Based Multimodal Fusion Model for Medical Visual Question Answering. NCAA (2) 2023: 202-214 - Xiaoming Lu, Guangrong Dai, Lu Tian, Wenjian Liu:
Student-centered Education in Metaverse: Transforming the Language Listening Curriculum. NCAA (2) 2023: 478-491 - Yao Lu, Xiaoxu Yin, Feng Qin, Ke Huang, Menghua Zhang, Weijie Huang:
A Lightweight Sensor Fusion for Neural Visual Inertial Odometry. NCAA (2) 2023: 46-59 - Yuyu Luo, Yi Xie, Enliang Yan, Lap-Kei Lee, Fu Lee Wang, Tianyong Hao:
A User Intent Recognition Model for Medical Queries Based on Attentional Interaction and Focal Loss Boost. NCAA (2) 2023: 245-259 - Zhanjie Mai, Pengjiu Yu, Chunli Liu, Qun Luo, Li Wei, Tianyong Hao:
An Enhanced Model Based on Recurrent Convolutional Neural Network for Predicting the Stage of Chronic Obstructive Pulmonary Diseases. NCAA (2) 2023: 179-190 - Xiaobo Qian, Shunhao Li, Weihan Qiu, Tao Chen, Maojie Wang, Tianyong Hao:
Shared Task 1 on NCAA 2023: Chinese Diabetes Question Classification. NCAA (2) 2023: 591-596 - Zhengxuan Song, Xun Liu, Yongyi Gong, Tianyong Hao, Kun Zeng:
A Two-Stage Framework for Kidney Segmentation in Ultrasound Images. NCAA (2) 2023: 60-74 - Fengxian Su, Shuwei Cao, Tianheng Hai, Jing Yuan:
Multiscale Redundant Second Generation Wavelet Kernel-Driven Convolutional Neural Network for Rolling Bearing Fault Diagnosis. NCAA (2) 2023: 263-278
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