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Ming-Zhe Liu
This is just a disambiguation page, and is not intended to be the bibliography of an actual person. Any publication listed on this page has not been assigned to an actual author yet. If you know the true author of one of the publications listed below, you are welcome to contact us.
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2020 – today
- 2024
[j52]Hongpo Zhang
, Hongzhuang Gu, Guanhe Chen, Mingzhe Liu, Zongmin Wang, Fengyu Cao:
An atrial fibrillation classification method based on an outlier data filtering strategy and modified residual block of the feature pyramid network. Biomed. Signal Process. Control. 92: 106107 (2024)- [j51]Mingzhe Liu, Yan Chen:
Safety-Guaranteed Learning-Based Flocking Control Design. IEEE Control. Syst. Lett. 8: 19-24 (2024) - [j50]Rui Wang, Zhecheng Zhou, Xiaonan Wu, Xin Jiang, Linlin Zhuo, Mingzhe Liu, Hao Li, Xiangzheng Fu, Xiaojun Yao:
An Effective Plant Small Secretory Peptide Recognition Model Based on Feature Correction Strategy. J. Chem. Inf. Model. 64(7): 2798-2806 (2024) - [j49]Tao Wang, Wentao Wang, Xin Jiang, Jiaxing Mao, Linlin Zhuo, Mingzhe Liu, Xiangzheng Fu, Xiaojun Yao:
ML-NPI: Predicting Interactions between Noncoding RNA and Protein Based on Meta-Learning in a Large-Scale Dynamic Graph. J. Chem. Inf. Model. 64(7): 2912-2920 (2024) - [j48]Huimin Huang, Luodi Xie, Mingzhe Liu, Jiajun Lin, Hong Shen:
An embedding model for temporal knowledge graphs with long and irregular intervals. Knowl. Based Syst. 296: 111893 (2024) - [j47]Danhua Cao, Biao Cai, Mingzhe Liu:
FlowgateUNet: Dental CT image segmentation network based on FlowFormer and gated attention. Signal Image Video Process. 18(2): 1175-1182 (2024) - [c37]Shuo Ji, Mingzhe Liu, Leilei Sun, Chuanren Liu, Tongyu Zhu:
MemMap: An Adaptive and Latent Memory Structure for Dynamic Graph Learning. KDD 2024: 1257-1268 - [c36]Mingzhe Liu, Yongzhen Chen, Jiangfeng Wu, Cuixia Wang:
A 40Gb/s Multi-band Wireline Receiver Analog Front-end for 50.4dB Channel Loss Compensation. MWSCAS 2024: 1-5 - [i6]Haoran Liu, Mingzhe Liu, Peng Li, Jiahui Wu, Xin Jiang, Zhuo Zuo, Bingqi Liu:
Random-coupled Neural Network. CoRR abs/2403.17512 (2024) - [i5]Songze Li, Mingzhe Liu, Mengqi Chen:
OmniLytics+: A Secure, Efficient, and Affordable Blockchain Data Market for Machine Learning through Off-Chain Processing. CoRR abs/2406.06477 (2024) - 2023
- [j46]Siyu Lu, Bo Yang, Ye Xiao, Shan Liu, Mingzhe Liu, Lirong Yin, Wenfeng Zheng:
Iterative reconstruction of low-dose CT based on differential sparse. Biomed. Signal Process. Control. 79(Part): 104204 (2023) - [j45]Bo Yang, Yiyang Li, Wenfeng Zheng, Zhengtong Yin, Mingzhe Liu, Lirong Yin, Chao Liu:
Motion prediction for beating heart surgery with GRU. Biomed. Signal Process. Control. 83: 104641 (2023) - [j44]Yuxi Ban, Yuwei Liu, Zhengtong Yin, Xuan Liu, Mingzhe Liu, Lirong Yin, Xiaolu Li, Wenfeng Zheng:
Micro-Directional Propagation Method Based on User Clustering. Comput. Informatics 42(6): 1445-1470 (2023) - [j43]Wei Dang, Ligao Cai, Mingzhe Liu, Xiaolu Li, Zhengtong Yin, Xuan Liu, Lirong Yin, Wenfeng Zheng:
Increasing Text Filtering Accuracy with Improved LSTM. Comput. Informatics 42(6): 1491-1517 (2023) - [j42]Feixiang Zhao, Mingzhe Liu, Zhihong Gao, Xin Jiang, Ruili Wang, Lejun Zhang:
Dual-scale similarity-guided cycle generative adversarial network for unsupervised low-dose CT denoising. Comput. Biol. Medicine 161: 107029 (2023) - [j41]Xin Jiang, Yizhou Ding, Mingzhe Liu, Yong Wang, Yan Li, Zongda Wu:
BiFTransNet: A unified and simultaneous segmentation network for gastrointestinal images of CT & MRI. Comput. Biol. Medicine 165: 107326 (2023) - [j40]Feixiang Zhao, Dongfen Li, Rui Luo, Mingzhe Liu, Xin Jiang, Junjie Hu:
Self-supervised deep learning for joint 3D low-dose PET/CT image denoising. Comput. Biol. Medicine 165: 107391 (2023) - [j39]Siyu Lu, Yueming Ding, Zhengtong Yin, Mingzhe Liu, Xuan Liu, Wenfeng Zheng, Lirong Yin:
Improved Blending Attention Mechanism in Visual Question Answering. Comput. Syst. Sci. Eng. 47(1): 1149-1161 (2023) - [j38]Siyu Lu, Ligao Cai, Zhixin Liu, Shan Liu, Bo Yang, Lirong Yin, Mingzhe Liu, Wenfeng Zheng:
An Optimized Chinese Filtering Model Using Value Scale Extended Text Vector. Comput. Syst. Sci. Eng. 47(2): 1881-1899 (2023) - [j37]Gang Wang, Mingzhe Liu, Fengchen Wang, Yan Chen:
A Novel and Elliptical Lattice Design of Flocking Control for Multi-Agent Ground Vehicles. IEEE Control. Syst. Lett. 7: 1159-1164 (2023) - [j36]Siyu Lu, Yueming Ding, Mingzhe Liu, Zhengtong Yin, Lirong Yin, Wenfeng Zheng:
Multiscale Feature Extraction and Fusion of Image and Text in VQA. Int. J. Comput. Intell. Syst. 16(1): 54 (2023) - [j35]Aihua Zhou, Yujun Ma, Wanting Ji, Ming Zong, Pei Yang, Min Wu, Mingzhe Liu:
Multi-head attention-based two-stream EfficientNet for action recognition. Multim. Syst. 29(2): 487-498 (2023) - [j34]Siyu Lu, Mingzhe Liu, Lirong Yin, Zhengtong Yin, Xuan Liu, Wenfeng Zheng:
The multi-modal fusion in visual question answering: a review of attention mechanisms. PeerJ Comput. Sci. 9: e1400 (2023) - [j33]Xin Chen, Dongfen Li, Mingzhe Liu, Jiaru Jia:
CNN and Transformer Fusion for Remote Sensing Image Semantic Segmentation. Remote. Sens. 15(18): 4455 (2023) - [j32]Haoran Liu, Mingzhe Liu, Xin Jiang, Jinglei Luo, Yuming Song, Xingyue Chu, Guibin Zan:
Multimodal Image Fusion for X-ray Grating Interferometry. Sensors 23(6): 3115 (2023) - [j31]Wenfeng Zheng, Mingzhe Liu, Chao Liu, Dan Wang, Kenan Li:
Recent Advances in Sensor Technology for Healthcare and Biomedical Applications (Volume II). Sensors 23(13): 5949 (2023) - [j30]Mingzhe Liu, Tongyu Zhu, Junchen Ye, Qingxin Meng, Leilei Sun, Bowen Du:
Spatio-Temporal AutoEncoder for Traffic Flow Prediction. IEEE Trans. Intell. Transp. Syst. 24(5): 5516-5526 (2023) - [j29]Lingling Huang, Chengqiang Zhao, Shijie Chen, Jing Yuan, Mingzhe Liu:
An Exploration of the Application of Consortium Blockchain in Translation Services Industry. Wirel. Pers. Commun. 132(2): 841-864 (2023) - [c35]Jun Chen, Fengyi Mei, Mingzhe Liu, Yongzhen Chen, Jiangfeng Wu:
A 32GS/s 7bit TI-SAR ADC in 28nm for 32Gb/s ADC-Based SerDes Receiver. ASICON 2023: 1-4 - [c34]Jingyi Yang, Yibei Li, Yiwei Lai, Mingzhe Liu:
Non-Fungible Tokens(NFTs): tokens of digital assets on the blockchain. CECCT 2023: 175-182 - [c33]Feixiang Zhao, Jianchao Zhao, Mingzhe Liu:
Image Domain Ultra-Sparse View CT Artifact Removal Via Conditional Denoising Diffusion Probability Model. ICCPR 2023: 416-421 - [c32]Mingzhe Liu, Han Huang, Hao Feng, Leilei Sun, Bowen Du, Yanjie Fu:
PriSTI: A Conditional Diffusion Framework for Spatiotemporal Imputation. ICDE 2023: 1927-1939 - [c31]Shuo Ji, Xiaodong Lu, Mingzhe Liu, Leilei Sun, Chuanren Liu, Bowen Du, Hui Xiong:
Community-based Dynamic Graph Learning for Popularity Prediction. KDD 2023: 930-940 - [i4]Mingzhe Liu, Han Huang, Hao Feng, Leilei Sun, Bowen Du, Yanjie Fu:
PriSTI: A Conditional Diffusion Framework for Spatiotemporal Imputation. CoRR abs/2302.09746 (2023) - [i3]Haoran Liu, Peng Li, Ming-Zhe Liu, Kai-Ming Wang, Zhuo Zuo, Bing-Qi Liu:
Pulse shape discrimination based on the Tempotron: a powerful classifier on GPU. CoRR abs/2305.18205 (2023) - 2022
- [j28]Mingzhe Liu, Feixiang Zhao, Xin Jiang, Hong Zhang, Helen Zhou:
Parallel Binary Image Cryptosystem Via Spiking Neural Networks Variants. Int. J. Neural Syst. 32(8): 2150014:1-2150014:16 (2022) - [j27]Rang Zhou, Xiaosong Zhang, Xiaofen Wang, Guowu Yang, Hong-Ning Dai, Mingzhe Liu:
Device-Oriented Keyword-Searchable Encryption Scheme for Cloud-Assisted Industrial IoT. IEEE Internet Things J. 9(18): 17098-17109 (2022) - [j26]Biao Cai, Mingyue Wang, Yongkeng Chen, Yanmei Hu, Mingzhe Liu:
MFF-Net: A multi-feature fusion network for community detection in complex network. Knowl. Based Syst. 252: 109408 (2022) - [j25]Xiaochuan Tang, Zihan Tu, Yu Wang, Mingzhe Liu, Dongfen Li, Xuanmei Fan:
Automatic Detection of Coseismic Landslides Using a New Transformer Method. Remote. Sens. 14(12): 2884 (2022) - [j24]Guangle Yao, Wenlong Zhou, Mingzhe Liu, Qiang Xu, Honghui Wang, Jun Li, Yuanzhen Ju:
An Empirical Study of the Convolution Neural Networks Based Detection on Object With Ambiguous Boundary in Remote Sensing Imagery - A Case of Potential Loess Landslide. IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens. 15: 323-338 (2022) - [j23]Haihui Xu, Tao Zou, Mingzhe Liu, Yanan Qiao, Jingjing Wang, Xucheng Li:
Adaptive Spatiotemporal Dependence Learning for Multi-Mode Transportation Demand Prediction. IEEE Trans. Intell. Transp. Syst. 23(10): 18632-18642 (2022) - [c30]Chao Chen, Mingzhe Liu, Peijun Mo, Cuixu Yuan, Pengyu Dai:
LBLCO: A Lightweight Blockchain with Low Communication Overhead for Internet of Things. BIOTC 2022: 92-99 - [c29]Qiulin He, Mingzhe Liu, Jianping Wang, Runxi Liu:
Blockchain-Enabled Techniques for Energy Internet of Things: A Review. BlockSys 2022: 134-146 - [c28]Yuhan Luo, Mingzhe Liu, Jianping Wang, Cuixu Yuan, Tong Liu:
When Secure Data Sharing Meets Blockchain: Overview, Challenges and Future Prospects. ICBCT 2022: 1-8 - [c27]Mingzhe Liu, Haikun Liu, Chencheng Ye, Xiaofei Liao, Hai Jin, Yu Zhang, Ran Zheng, Liting Hu:
Towards low-latency I/O services for mixed workloads using ultra-low latency SSDs. ICS 2022: 13:1-13:12 - [c26]Bo Zhang, Bingjun Yan, Mingzhe Liu, Bo Hu, Aidong Xu, Kai Wang:
Development of an Industrial Real-time Ethernet Protocol Stack Based on SoC. ISNCC 2022: 1-6 - [c25]Mingqian Shao, Yifan Liu, Bin Duo, Jin Ning, Junsong Luo, Xing Zhu, Mingzhe Liu, Zhengqiang Wang:
Joint Passive Beamforming and Elevation Angle-Dependent Trajectory Design for RIS-aided UAV-enabled Wireless Sensor Networks. SECON 2022: 488-496 - [i2]Jiaru Jia, Mingzhe Liu, Jiake Xie, Xin Chen, Aiqing Yang, Xin Jiang, Hong Zhang, Yong Tang:
Label Mask AutoEncoder(L-MAE): A Pure Transformer Method to Augment Semantic Segmentation Datasets. CoRR abs/2211.11242 (2022) - 2021
- [j22]Rui Shi, Honglong Zheng, Xianguo Tuo, Changming Wang, Jianbo Yang, Yi Cheng, Mingzhe Liu, Songbai Zhang:
Image Reconstruction Based on Total Variation Minimization for Radioactive Wastes Tomographic Gamma Scanning From Sparse Projections. IEEE Access 9: 87453-87461 (2021) - [j21]Yanhua Liu, Xiaoguang Yuan, Xin Jiang, Pei Wang, Jinqiao Kou, Haofeng Wang, Mingzhe Liu:
Dilated Adversarial U-Net Network for automatic gross tumor volume segmentation of nasopharyngeal carcinoma. Appl. Soft Comput. 111: 107722 (2021) - [j20]Lei Wang, Xiaoguang Yuan, Ming Zong, Yujun Ma, Wanting Ji, Mingzhe Liu, Ruili Wang:
Multi-cue based four-stream 3D ResNets for video-based action recognition. Inf. Sci. 575: 654-665 (2021) - [j19]Hao Peng, Bowen Du, Mingsheng Liu, Mingzhe Liu, Shumei Ji, Senzhang Wang, Xu Zhang, Lifang He:
Dynamic graph convolutional network for long-term traffic flow prediction with reinforcement learning. Inf. Sci. 578: 401-416 (2021) - [j18]Xiaochuan Tang, Mingzhe Liu, Hao Zhong, Yuanzhen Ju, Weile Li, Qiang Xu:
MILL: Channel Attention-based Deep Multiple Instance Learning for Landslide Recognition. ACM Trans. Multim. Comput. Commun. Appl. 17(2s): 76:1-76:11 (2021) - [j17]Wanting Ji, Yan Pang, Xiaoyun Jia, Zhongwei Wang, Feng Hou, Baoyan Song, Mingzhe Liu, Ruili Wang:
Fuzzy rough sets and fuzzy rough neural networks for feature selection: A review. WIREs Data Mining Knowl. Discov. 11(3) (2021) - [c24]Mingzhe Liu, Bowen Du, Leilei Sun:
Co-Prediction of Multimodal Transportation Demands With Self-learned Spatial Dependence. IEEE BigData 2021: 824-833 - 2020
- [j16]Jinlian Chen, Dongfen Li, Mingzhe Liu, Yaming Yang:
Bidirectional Quantum Teleportation by Using a Four-Qubit GHZ State and Two Bell States. IEEE Access 8: 28925-28933 (2020) - [j15]Yongyi Yu, Mingzhe Liu, Huajun Feng, Zhihai Xu, Qi Li:
Split-Attention Multiframe Alignment Network for Image Restoration. IEEE Access 8: 39254-39272 (2020) - [j14]Shijie Chen, Chengqiang Zhao, Lingling Huang, Jing Yuan, Mingzhe Liu:
Study and implementation on the application of blockchain in electronic evidence generation. Digit. Investig. 35: 301001 (2020) - [j13]Mingzhe Liu, Xin Jiang, Yanhua Liu, Feixiang Zhao, Helen Zhou:
A semi-supervised convolutional transfer neural network for 3D pulmonary nodules detection. Neurocomputing 391: 199-209 (2020) - [j12]Zhirong Tang, Mingzhe Liu, Feixiang Zhao, Shaoda Li, Ming Zong:
Toward a robust and fast real-time point cloud registration with factor analysis and Student's-t mixture model. J. Real Time Image Process. 17(6): 2005-2014 (2020) - [j11]Xin Jiang, Mingzhe Liu, Feixiang Zhao, Xianghe Liu, Helen Zhou:
A novel super-resolution CT image reconstruction via semi-supervised generative adversarial network. Neural Comput. Appl. 32(18): 14563-14578 (2020) - [j10]Zhuotong Li, Yongli Zhao, Yajie Li, Mingzhe Liu, Zebin Zeng, Xiangjun Xin, Feng Wang, Xinghua Li, Jie Zhang:
Self-Optimizing Optical Network With Cloud-Edge Collaboration: Architecture and Application. IEEE Open J. Comput. Soc. 1: 220-229 (2020) - [c23]Xinyu Chen, Mingzhe Liu, Jun Ren, Chuan Zhao:
An Overview of Crowd Counting on Traditional and CNN-based Approaches. ICRAI 2020: 126-133 - [c22]Mingzhe Liu, Yajie Li, Yongli Zhao, Hui Yang, Jie Zhang:
Adaptive DNN Model Partition and Deployment in Edge Computing-Enabled Metro Optical Interconnection Network. OFC 2020: 1-3 - [i1]Hao Peng, Jianxin Li, Zheng Wang, Renyu Yang, Mingzhe Liu, Mingming Zhang, Philip S. Yu, Lifang He:
Lifelong Property Price Prediction: A Case Study for the Toronto Real Estate Market. CoRR abs/2008.05880 (2020)
2010 – 2019
- 2019
- [j9]Mingfu He, Mingzhe Liu, Ruili Wang, Xin Jiang, Bingqi Liu, Helen Zhou:
Particle swarm optimization with damping factor and cooperative mechanism. Appl. Soft Comput. 76: 45-52 (2019) - [j8]Bingqi Liu, Mingzhe Liu, Xianghe Liu, Xianguo Tuo, Xing Wang, Shibo Zhao, Tingting Xiao:
Design and Realize a Snake-Like Robot in Complex Environment. J. Robotics 2019: 1523493:1-1523493:9 (2019) - [j7]Mingzhe Liu, Mingfu He, Ruili Wang, Shaoda Li:
A new local density and relative distance based spectrum clustering. Knowl. Inf. Syst. 61(2): 965-985 (2019) - [c21]Kun Wang, Mingzhe Liu, Xin Jiang, Chen Yang, Hong Zhang:
A Novel Vehicle Blockchain Model Based on Hyperledger Fabric for Vehicle Supply Chain Management. BlockSys 2019: 732-739 - [c20]Pei-Ling Kuo, Ting Yun Chen, Ting-Hsuan Chang, Shiau-Wen Chen, Mingzhe Liu, Jon-Fan Hu:
An Investigation on the Relationships Among Social Cognition Processes by Eye-Tracking Techniques. CogSci 2019: 3502 - 2018
- [j6]Jun Ren, Napoleon H. Reyes, Andre L. C. Barczak, Chris Scogings, Mingzhe Liu:
Toward three-dimensional human action recognition using a convolutional neural network with correctness-vigilant regularizer. J. Electronic Imaging 27(04): 043040 (2018) - [j5]Ruili Wang, Wanting Ji, Mingzhe Liu, Xun Wang, Jian Weng, Song Deng, Suying Gao, Chang-an Yuan:
Review on mining data from multiple data sources. Pattern Recognit. Lett. 109: 120-128 (2018) - [j4]Xin Jiang, Mingzhe Liu, Kun Yang, Yanhua Liu, Ruili Wang:
A Security Sandbox Approach of Android Based on Hook Mechanism. Secur. Commun. Networks 2018: 9856537:1-9856537:8 (2018) - [c19]Xibin Sun, Du Zhang, Mingzhe Liu, Zhuoxin He, Haijie Li, Jiwei Li:
Detecting and Resolving Inconsistencies in Snort. ICCI*CC 2018: 552-560 - [c18]Feixiang Zhao, Mingzhe Liu, Binyang Jia, Xin Jiang, Jun Ren:
Key Variables Soft Measurement of Wastewater Treatment Process Based on Hierarchical Extreme Learning Machine. ELM 2018: 45-54 - [c17]Jun Ren, Napoleon H. Reyes, Andre L. C. Barczak, Chris Scogings, Mingzhe Liu, Jing Ma:
Robust Skeleton-based Action Recognition through Hierarchical Aggregation of Local and Global Spatio-temporal Features. ICARCV 2018: 901-906 - [c16]Yanhan Yang, Yaming Yang, Jinlian Chen, Mingzhe Liu:
Application of BlockChain in Internet of Things. ICCCS (5) 2018: 73-82 - [c15]Dong-fen Li, Rui-Jin Wang, Daniel Adu-Gyamfi, Jin-lian Chen, Ya-Ming Yang, Ming-Zhe Liu:
Authentication of Quantum Dialogue Under Noise. ICCCS (5) 2018: 106-117 - [c14]Kun Yang, Mingzhe Liu, Yaming Yang, Xin Jiang:
A Design of Mobile Phone Privacy Protection Based on Block Chain. ICCCS (4) 2018: 553-562 - [c13]Qin Zhou, Yaming Yang, Jinlian Chen, Mingzhe Liu:
Review on Blockchain Application for Internet of Things. ICCCS (5) 2018: 724-733 - [c12]Ni Jin, Aidong Xu, Mingzhe Liu, Chenxi Wang:
Design and implementation of FA networking control software that accords with SEMI standards. ICCIP 2018: 117-120 - 2015
- [j3]Jiansheng Wu, Long Jin, Mingzhe Liu:
Evolving RBF neural networks for rainfall prediction using hybrid particle swarm optimization and genetic algorithm. Neurocomputing 148: 136-142 (2015) - 2012
- [j2]Mingzhe Liu, Xianguo Tuo, Zhe Li, Jianbo Yang, Yang Gao:
Asymmetric exclusion process for modeling of information flow. Comput. Phys. Commun. 183(2): 316-319 (2012) - [c11]Jun Ren, Mingzhe Liu, Xianguo Tuo, Zhe Li, Rui Shi:
Towards a hybrid optimization model for elemental content analysis in EDXRF. ICNC 2012: 1251-1254 - [c10]Mingzhe Liu, Xianguo Tuo, Jun Ren, Zhe Li, Lei Wang, Jianbo Yang:
A PSO-SVM Based Model for Alpha Particle Activity Prediction Inside Decommissioned Channels. ISNN (1) 2012: 517-523 - 2010
- [j1]Jiansheng Wu, Mingzhe Liu, Long Jin:
A Hybrid Support Vector Regression Approach for Rainfall Forecasting Using Particle Swarm Optimization and Projection Pursuit Technology. Int. J. Comput. Intell. Appl. 9(2): 87-104 (2010) - [c9]Ji-Chang Lo, Ming-Zhe Liu:
Exact solutions to fuzzy PD-LMIs via SOS. FUZZ-IEEE 2010: 1-6
2000 – 2009
- 2009
- [c8]Aidong Xu, Yangbo Zheng, Yan Song, Mingzhe Liu:
An Improved Model Free Adaptive Control Algorithm. ICNC (1) 2009: 70-74 - 2006
- [c7]Jiansheng Wu, Long Jin, Mingzhe Liu:
Modeling Meteorological Prediction Using Particle Swarm Optimization and Neural Network Ensemble. ISNN (2) 2006: 1202-1209 - [c6]Hiroshi Inoue, Mingzhe Liu, Shunsuke Kamijo:
Vehicle segmentation by edge classification method and the S-T MRF model. ITSC 2006: 1543-1549 - [c5]Hiroshi Inoue, Mingzhe Liu, Shunsuke Kamijo:
Vehicle Segmentation by Edge Classification Method and the S-T MRF Model. SMC 2006: 370-376 - 2005
- [c4]Jiansheng Wu, Mingzhe Liu:
Improving generalization performance of artificial neural networks with genetic algorithms. GrC 2005: 288-291 - [c3]Ruili Wang, Mingzhe Liu:
A Realistic Cellular Automata Model to Simulate Traffic Flow at Urban Roundabouts. International Conference on Computational Science (2) 2005: 420-427 - [c2]Mingzhe Liu, Ruili Wang, Ray H. Kemp:
Towards a Realistic Microscopic Traffic Simulation at an Unsignalised Intersection. ICCSA (2) 2005: 1187-1196 - [c1]Mingzhe Liu, Ruili Wang, Jiansheng Wu, Ray H. Kemp:
A Genetic-Algorithm-Based Neural Network Approach for Short-Term Traffic Flow Forecasting. ISNN (3) 2005: 965-970
Coauthor Index
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