NCAA (2)

Keyphrases

Publications

2023

Lianghuan Ying, Junwei Zhu, Yasi Pan
A Data-driven Intermediate Estimator-based Approach for Collaborative Fault-tolerant Tracking Control of Multi-agent Systems. NCAA (2) (2023)
Xusheng Chen, Wanjun Hou, Yizhen Peng
Degradation Modelling and Remaining Useful Life Prediction Methods Based on Time Series Generative Prediction Networks. NCAA (2) (2023)
Ruhan He, Cheng Quan
A Clothing Classification Network with Manifold Structure Based on Second-Order Convolution. NCAA (2) (2023)
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)
Jie Xu
Research on the Application of Computer Aided Corrective Feedback in Foreign Language Grammar Teaching. NCAA (2) (2023)
Baiming Zeng, Yanfen Mao, Dongyang Li, Weian Guo
COVID-19 Urban Emergency Logistics Planning with Multi-objective Optimization Model. NCAA (2) (2023)
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)
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)
Ao Zhang, Yifei Sun, Shi Cheng, Jie Yang, Xin Sun, Zhuo Liu, Yifei Cao, Jiale Ju, Wenya Shi
Hybrid Recommendation System with Graph Neural Collaborative Filtering and Local Self-attention Mechanism. NCAA (2) (2023)
Zhuoyi Yu, Ye Wang, Dajiang Lei
Research on Chinese Diabetes Question Classification with the Integration of Different BERT Models. NCAA (2) (2023)
Conglin Gao, Shouyin Lu, Xinjian Gu, Xinyun Hu
Improved YOLOv5s Based Steel Leaf Spring Identification. NCAA (2) (2023)
Ying Zheng
Teaching Pre-editing for Chinese-to-English MT: An Experiment with Controlled Chinese Rules. NCAA (2) (2023)
Xiaoming Lu, Guangrong Dai, Lu Tian, Wenjian Liu
Student-centered Education in Metaverse: Transforming the Language Listening Curriculum. NCAA (2) (2023)
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)
Yiming Liu, Yunchu Zhang, Yanfei Zhou, Xinyi Zhang
Joint Attention Mechanism of YOLOv5s for Coke Oven Smoke and Fire Recognition Algorithm. NCAA (2) (2023)
Qixin Lan, Binqiang Chen, Bin Yao, Wangpeng He
Unsupervised Deep Transfer Learning Model for Tool Wear States Recognition. NCAA (2) (2023)
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)
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)
Leiming Kang, Wenhui Zhang, Mengfan Guo
A Study of Chinese-English Translation Teaching Based on Data Mining. NCAA (2) (2023)
Weiyang Chen, Yuhao Liu, Yang Lu, Weizhen Han, Bingyi Liu
An Adaptive Clustering Approach for Efficient Data Dissemination in IoV. NCAA (2) (2023)
Yangkai Zhou, Hualing Ren, Ke Xiao, Kai Liu
Joint Data Routing and Service Migration via Evolutionary Multitasking Optimization in Vehicular Networks. NCAA (2) (2023)
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)
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)
Liangliang Zhu, Yangyang Ge, Kui Wang, Yongzheng Fan, Xintong Ma, Lijun Zhang
Spatial-Temporal Electric Vehicle Charging Demand Forecasting: A GTrans Approach. NCAA (2) (2023)
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)
Le Hong, Weicheng Cui
Strategy Determination for Multiple USVs: A Min-max Q-learning Approach. NCAA (2) (2023)
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)
Yao Lu, Xiaoxu Yin, Feng Qin, Ke Huang, Menghua Zhang, Weijie Huang
A Lightweight Sensor Fusion for Neural Visual Inertial Odometry. NCAA (2) (2023)
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)
Libing Chen, Wenjing Zhang, Yiling Tan
Applicability Method for Identification of Power Inspection Evidence in Multiple Business Scenarios. NCAA (2) (2023)
Junhu Wang, Suiyi Zhao, Zhao Zhang, Yang Zhao, Haijun Zhang
Physical-Property Guided End-to-End Interactive Image Dehazing Network. NCAA (2) (2023)
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)
Qingyan Wang, Ye Wang, Dajiang Lei
SFDA: Chinese Diabetic Text Classification Based on Sentence Feature Level Data Augmentation. NCAA (2) (2023)
Yue Zhou, Deshun Hu, Cheng Li, Wangpeng He
UWYOLOX: An Underwater Object Detection Framework Based on Image Enhancement and Semi-supervised Learning. NCAA (2) (2023)
Fuyuan Zhang, Xiaohong Xiang, Xin Deng, Xiaoyu Ding
Multi-size Scaled CAM for More Accurate Visual Interpretation of CNNs. NCAA (2) (2023)
Lixian Chen, Hongda Liu, Chongqi Sun, Yi Wang, Yongheng Hu
Data-Model Intergrowth Makes Better Time Series Prediction. NCAA (2) (2023)
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)
Zeyu Chen, Xiaohong Xiang, Xin Deng, Qi Wang
Stepwise Fusion Transformer for Affective Video Content Analysis. NCAA (2) (2023)
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)
Yanli Liu, Yihua Sun, Li-Ying Hao
Novel TD-based Adaptive Control for Nonlinearly Parameterized Stochastic Systems. NCAA (2) (2023)
Zhengxuan Song, Xun Liu, Yongyi Gong, Tianyong Hao, Kun Zeng
A Two-Stage Framework for Kidney Segmentation in Ultrasound Images. NCAA (2) (2023)
Qiqi Xu, Guanhua Chen, Lan Shuai, Shi Pu, Hai Liu, Tianyong Hao
A Positive-Negative Dual-View Model for Knowledge Tracing. NCAA (2) (2023)
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)

volume 1870, 2023

International Conference on Neural Computing for Advanced Applications - 4th International Conference, NCAA 2023, Hefei, China, July 7-9, 2023, Proceedings, Part II NCAA (2) 1870 (2023)

2022

volume 1638, 2022

Neural Computing for Advanced Applications - Third International Conference, NCAA 2022, Jinan, China, July 8-10, 2022, Proceedings, Part II NCAA (2) 1638 (2022)