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BLER Analysis and Optimal Power Allocation of HARQ-IR for Mission-Critical IoT Communications Journal article
He, Fuchao, Shi, Zheng, Zhou, Binggui, Yang, Guanghua, Li, Xiaofan, Ye, Xinrong, Ma, Shaodan. BLER Analysis and Optimal Power Allocation of HARQ-IR for Mission-Critical IoT Communications[J]. IEEE Internet of Things Journal, 2024, 11(21), 35536-35550.
Authors:  He, Fuchao;  Shi, Zheng;  Zhou, Binggui;  Yang, Guanghua;  Li, Xiaofan; et al.
Favorite | TC[WOS]:0 TC[Scopus]:1  IF:8.2/9.0 | Submit date：2024/09/03
Block Error Rate (Bler)  Deep Reinforcement Learning (Drl)  Hybrid Automatic Repeat Request With Incremental Redundancy (Harq-ir)  Markov Decision Process(Mdp)  Short Packet Communications  
Vehicle Trajectory Completion for Automatic Number Plate Recognition Data: A Temporal Knowledge Graph-Based Method Journal article
Long, Zhe, Chen, Jinjin, Zhang, Zuping. Vehicle Trajectory Completion for Automatic Number Plate Recognition Data: A Temporal Knowledge Graph-Based Method[J]. International Journal of Pattern Recognition and Artificial Intelligence, 2023, 37(13), 2350029.
Authors:  Long, Zhe;  Chen, Jinjin;  Zhang, Zuping
Favorite | TC[WOS]:1 TC[Scopus]:1  IF:0.9/1.0 | Submit date：2024/01/10
Automatic Number Plate Recognition (Anpr) Data  Knowledge Representation Learning  Link Prediction  Temporal Knowledge Graph  Vehicle Trajectory Completion  
Deep Reinforcement Learning Empowered Rate Selection of XP-HARQ Journal article
Wu, Da, Feng, Jiahui, Shi, Zheng, Lei, Hongjiang, Yang, Guanghua, Ma, Shaodan. Deep Reinforcement Learning Empowered Rate Selection of XP-HARQ[J]. IEEE Communications Letters, 2023, 27(9), 2363-2367.
Authors:  Wu, Da;  Feng, Jiahui;  Shi, Zheng;  Lei, Hongjiang;  Yang, Guanghua; et al.
Favorite | TC[WOS]:2 TC[Scopus]:3  IF:3.7/3.5 | Submit date：2023/10/10
Cross-packet Hybrid Automatic Repeat Request (Xp-harq)  Deep Reinforcement Learning (Drl)  Outdated Channel State Information  Rate Selection  
Unlicensed Taxi Detection Model Based on Graph Embedding Journal article
Long, Zhe, Zhang, Zuping, Chen, Jinjin, Khawaja, Faiza Riaz, Li, Shaolong. Unlicensed Taxi Detection Model Based on Graph Embedding[J]. Electronics (Switzerland), 2022, 11(20), 3410.
Authors:  Long, Zhe;  Zhang, Zuping;  Chen, Jinjin;  Khawaja, Faiza Riaz;  Li, Shaolong
Favorite | TC[WOS]:0 TC[Scopus]:2  IF:2.6/2.6 | Submit date：2022/11/07
Automatic Number Plate Recognition (Anpr) Data  Big Data  Graph Embedding  Machine Learning  Node2vec  Trajectory Graph  Unlicensed Taxi  
Design and Implementation of an Automatic Batch Microinjection System for Zebrafish Larvae Journal article
Chi, Ziqiang, Xu, Qingsong, Ai, Nana, Ge, Wei. Design and Implementation of an Automatic Batch Microinjection System for Zebrafish Larvae[J]. IEEE Robotics and Automation Letters, 2022, 7(2), 1848-1855.
Authors:  Chi, Ziqiang;  Xu, Qingsong;  Ai, Nana;  Ge, Wei
Favorite | TC[WOS]:9 TC[Scopus]:11  IF:4.6/5.5 | Submit date：2022/05/04
Automatic Microinjection System  Deep Learning  Image Processing  Machine Vision  Zebrafish Larvae  
MIDCAN: A multiple input deep convolutional attention network for Covid-19 diagnosis based on chest CT and chest X-ray Journal article
Zhang, Yu Dong, Zhang, Zheng, Zhang, Xin, Wang, Shui Hua. MIDCAN: A multiple input deep convolutional attention network for Covid-19 diagnosis based on chest CT and chest X-ray[J]. PATTERN RECOGNITION LETTERS, 2021, 150, 8-16.
Authors:  Zhang, Yu Dong;  Zhang, Zheng;  Zhang, Xin;  Wang, Shui Hua
Favorite | TC[WOS]:70 TC[Scopus]:85  IF:3.9/4.2 | Submit date：2021/12/08
Deep Learning  Data Harmonization  Multiple Input  Convolutional Neural Network  Automatic Differentiation  Covid-19  Chest Ct  Chest X-ray  Multimodality  
Deep learning-based crack identification for steel pipelines by extracting features from 3d shadow modeling Journal article
Altabey, Wael A., Noori, Mohammad, Wang, Tianyu, Ghiasi, Ramin, Wu, Zhishen. Deep learning-based crack identification for steel pipelines by extracting features from 3d shadow modeling[J]. Applied Sciences (Switzerland), 2021, 11(13), 6063.
Authors:  Altabey, Wael A.;  Noori, Mohammad;  Wang, Tianyu;  Ghiasi, Ramin;  Wu, Zhishen
Favorite | TC[WOS]:20 TC[Scopus]:29  IF:2.5/2.7 | Submit date：2021/12/08
3d Shadow Modeling  Automatic Crack Identification  Convolutional Neural Network (Cnn)  Deep Learning  Structural Health Monitoring (Shm)  
Deep Learning-Based Crack Identification for Steel Pipelines by Extracting Features from 3D Shadow Modeling Journal article
Altabey, W. A., Noori, M., Wang, T., Ghiasi, R.. Deep Learning-Based Crack Identification for Steel Pipelines by Extracting Features from 3D Shadow Modeling[J]. Applied Sciences, 2021, 1-21.
Authors:  Altabey, W. A.;  Noori, M.;  Wang, T.;  Ghiasi, R.
Favorite |   IF:2.5/2.7 | Submit date：2022/08/30
Deep Learning  Automatic Crack Identification  Convolutional Neural Network (Cnn)  3d Shadow Modeling  Structural Health Monitoring (Shm)  
Deep learning for in vitro prediction of pharmaceutical formulations Journal article
Yang Y., Ye Z., Su Y., Zhao Q., Li X., Ouyang D.. Deep learning for in vitro prediction of pharmaceutical formulations[J]. Acta Pharmaceutica Sinica B, 2019, 9(1), 177-185.
Authors:  Yang Y.;  Ye Z.;  Su Y.;  Zhao Q.;  Li X.; et al.
Favorite | TC[WOS]:93 TC[Scopus]:119 | Submit date：2019/02/14
Automatic Dataset Selection Algorithm  Deep Learning  Oral Fast Disintegrating Films  Oral Sustained Release Matrix Tablets  Pharmaceutical Formulation  Small Data  
Data-driven train operation models based on data mining and driving experience for the diesel-electric locomotive Journal article
Zhang C.-Y., Chen D., Yin J., Chen L.. Data-driven train operation models based on data mining and driving experience for the diesel-electric locomotive[J]. Advanced Engineering Informatics, 2016, 30(3), 553-563.
Authors:  Zhang C.-Y.;  Chen D.;  Yin J.;  Chen L.
Favorite | TC[WOS]:21 TC[Scopus]:27 | Submit date：2019/02/13
Automatic Train Operation  Data-driven Train Operation Model  Ensemble Learning  Machine Learning  Manual Driving