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STRmt: A state transition based model for real-time crowd counting in a metro system
Journal article
Sun, Li, Zhao, Juanjuan, Zhang, Jun, Zhang, Fan, Ye, Kejiang, Xu, Chengzhong. STRmt: A state transition based model for real-time crowd counting in a metro system[J]. Concurrency and Computation: Practice and Experience, 2024, 36(14), e8086.
Authors:
Sun, Li
;
Zhao, Juanjuan
;
Zhang, Jun
;
Zhang, Fan
;
Ye, Kejiang
; et al.
Favorite
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TC[WOS]:
0
TC[Scopus]:
0
IF:
1.5
/
1.5
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Submit date:2024/05/16
Afc
Crowd Estimation
Gcn
Lstm
Metro System
PECCO: A profit and cost-oriented computation offloading scheme in edge-cloud environment with improved Moth-flame optimization
Journal article
Wu, Jiashu, Dai, Hao, Wang, Yang, Shen, Shigen, Xu, Chengzhong. PECCO: A profit and cost-oriented computation offloading scheme in edge-cloud environment with improved Moth-flame optimization[J]. Concurrency and Computation: Practice and Experience, 2022, 34(22), e7163.
Authors:
Wu, Jiashu
;
Dai, Hao
;
Wang, Yang
;
Shen, Shigen
;
Xu, Chengzhong
Favorite
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TC[WOS]:
2
TC[Scopus]:
4
IF:
1.5
/
1.5
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Submit date:2022/08/05
Cloud Computing
Edge-cloud Computation Offloading
Internet Of Things
Moth-flame Optimizer
The strong substructure and feature attention mechanism for image semantic segmentation
Journal article
Zhang,Yuhang, Ren,Hongshuai, Yang,Wensi, Wang,Yang, Ye,Kejiang, Xu,Cheng Zhong. The strong substructure and feature attention mechanism for image semantic segmentation[J]. Concurrency Computation, 2022, 34(12), e5920.
Authors:
Zhang,Yuhang
;
Ren,Hongshuai
;
Yang,Wensi
;
Wang,Yang
;
Ye,Kejiang
; et al.
Favorite
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TC[WOS]:
2
TC[Scopus]:
3
IF:
1.5
/
1.5
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Submit date:2021/03/09
a Cross-channel Structure
Satellite Image Recognition
Semantic Segmentation
Toward fast theta‐join: A prefiltering and amalgamated partitioning approach
Journal article
Jiashu Wu, Yang Wang, Xiaopeng Fan, Kejiang Ye, Chengzhong Xu. Toward fast theta‐join: A prefiltering and amalgamated partitioning approach[J]. Concurrency and Computation: Practice and Experience, 2022, 34(17), e6996.
Authors:
Jiashu Wu
;
Yang Wang
;
Xiaopeng Fan
;
Kejiang Ye
;
Chengzhong Xu
Adobe PDF
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Favorite
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TC[WOS]:
2
TC[Scopus]:
3
IF:
1.5
/
1.5
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Submit date:2022/08/22
Amalgamated Data Stream Partitioning
Cartesian Product Reduction
Online Data Stream
Prefiltering
Theta-join (Θ-join)
Toward fast theta-join: A prefiltering and amalgamated partitioning approach
Journal article
Wu, Jiashu, Wang, Yang, Fan, Xiaopeng, Ye, Kejiang, Xu, Chengzhong. Toward fast theta-join: A prefiltering and amalgamated partitioning approach[J]. Concurrency and Computation: Practice and Experience, 2022, 34(17), e6996.
Authors:
Wu, Jiashu
;
Wang, Yang
;
Fan, Xiaopeng
;
Ye, Kejiang
;
Xu, Chengzhong
Favorite
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TC[WOS]:
2
TC[Scopus]:
3
IF:
1.5
/
1.5
|
Submit date:2022/05/17
Amalgamated Data Stream Partitioning
Cartesian Product Reduction
Online Data Stream
Prefiltering
Theta-join (Θ-join)
Detection of hidden data attacks combined fog computing and trust evaluation method in sensor-cloud system
Journal article
Guangxue Zhang, Tian Wang, Guojun Wang, Anfeng Liu, Weijia Jia. Detection of hidden data attacks combined fog computing and trust evaluation method in sensor-cloud system[J]. Concurrency and Computation: Practice and Experience, 2021, 33(7).
Authors:
Guangxue Zhang
;
Tian Wang
;
Guojun Wang
;
Anfeng Liu
;
Weijia Jia
Favorite
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TC[WOS]:
67
TC[Scopus]:
63
IF:
1.5
/
1.5
|
Submit date:2021/12/07
Fog Computing
Hidden Data Attacks
Internal Attacks
Sensor-cloud
Trust Evaluation Mechanism
Dynamic traffic bottlenecks identification based on congestion diffusion model by influence maximization in metro-city scales
Journal article
Zhao,Baoxin, Xu,Cheng Zhong, Liu,Siyuan, Zhao,Juanjuan, Li,Li. Dynamic traffic bottlenecks identification based on congestion diffusion model by influence maximization in metro-city scales[J]. CONCURRENCY AND COMPUTATION-PRACTICE & EXPERIENCE, 2021, 33(6), e5790.
Authors:
Zhao,Baoxin
;
Xu,Cheng Zhong
;
Liu,Siyuan
;
Zhao,Juanjuan
;
Li,Li
Favorite
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TC[WOS]:
2
TC[Scopus]:
2
IF:
1.5
/
1.5
|
Submit date:2021/03/09
Bottlenecks Identification
Influence Maximization
Traffic Congestion Diffusion
Traffic Flow Influence
Practical model with strong interpretability and predictability: An explanatory model for individuals' destination prediction considering personal and crowd travel behavior
Journal article
Zhao,Juanjuan, Ye,Jiexia, Xu,Minxian, Xu,Chengzhong. Practical model with strong interpretability and predictability: An explanatory model for individuals' destination prediction considering personal and crowd travel behavior[J]. CONCURRENCY AND COMPUTATION-PRACTICE & EXPERIENCE, 2020, 35(18), e6151.
Authors:
Zhao,Juanjuan
;
Ye,Jiexia
;
Xu,Minxian
;
Xu,Chengzhong
Favorite
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TC[WOS]:
2
TC[Scopus]:
3
IF:
1.5
/
1.5
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Submit date:2021/03/09
Crowd Behavior
Discrete Choice Model
Individual Destination Prediction
Neural Network
An improved artificial bee colony algorithm based on elite search strategy with segmentation application on robot vision system
Journal article
Rong Lu, Zeyu Yang, Chuyi Gao, Maolong Xi, Yang Zhang, Jian Xiong, Chi-Man Pun, HaoGao. An improved artificial bee colony algorithm based on elite search strategy with segmentation application on robot vision system[J]. CONCURRENCY AND COMPUTATION-PRACTICE & EXPERIENCE, 2020, 33(22), e5745.
Authors:
Rong Lu
;
Zeyu Yang
;
Chuyi Gao
;
Maolong Xi
;
Yang Zhang
; et al.
Favorite
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TC[WOS]:
2
TC[Scopus]:
2
IF:
1.5
/
1.5
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Submit date:2021/03/11
Artificial Bee Colony Algorithm,
Convergence Speed
Global Search Ability
Robot Vision System
Dynamic Traffic Bottlenecks Identification Based on Congestion Diffusion Model by Influence Maximization in Metrocity Scales
Journal article
Zhao, B.X., Xu, C.Z., Liu, S.Y., Zhao, J.J., Li, L.. Dynamic Traffic Bottlenecks Identification Based on Congestion Diffusion Model by Influence Maximization in Metrocity Scales[J]. Concurrency and Computation: Practice and Experience, 2020, 33(6), e5790.
Authors:
Zhao, B.X.
;
Xu, C.Z.
;
Liu, S.Y.
;
Zhao, J.J.
;
Li, L.
Favorite
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TC[WOS]:
2
TC[Scopus]:
2
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Submit date:2022/01/26
Bottlenecks Identification
Influence Maximization
Traffic Congestion Diffusion
Traffic Flow Influence