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μ(J)-Rheology-based depth-averaged dynamic model for roll waves in granular–fluid avalanches Journal article
Jianbo Fei, Huabin Shi, Yuxin Jie, Bingyin Zhang. μ(J)-Rheology-based depth-averaged dynamic model for roll waves in granular–fluid avalanches[J]. Applied Mathematical Modelling, 2023, 119, 763-781.
Authors:  Jianbo Fei;  Huabin Shi;  Yuxin Jie;  Bingyin Zhang
Favorite | TC[WOS]:6 TC[Scopus]:7  IF:4.4/4.2 | Submit date：2023/06/03
Granular-fluid Avalanche  Roll Wave  Depth-averaged Model  μ(j) Rheology  
Design of compensatory backstepping controller for nonlinear magnetorheological dampers Journal article
Gao, Zhijiang, Wong, Pak Kin, Zhao, Jing, Hua, Xingqi, Ma, Xinbo, Xie, Zhengchao. Design of compensatory backstepping controller for nonlinear magnetorheological dampers[J]. Applied Mathematical Modelling, 2022, 114, 318-337.
Authors:  Gao, Zhijiang;  Wong, Pak Kin;  Zhao, Jing;  Hua, Xingqi;  Ma, Xinbo; et al.
Favorite | TC[WOS]:15 TC[Scopus]:15  IF:4.4/4.2 | Submit date：2023/02/22
Compensatory Backstepping Control  Magnetorheological Fluid Damper  Suspension System  Adaptive Radial Basis Function Neural Network  
Novel hybrid extreme learning machine and multi-objective optimization algorithm for air pollution prediction Journal article
Lu Bai, Zhi Liu, Jianzhou Wang. Novel hybrid extreme learning machine and multi-objective optimization algorithm for air pollution prediction[J]. Applied Mathematical Modelling, 2022, 106, 177-198.
Authors:  Lu Bai;  Zhi Liu;  Jianzhou Wang
Favorite | TC[WOS]:17 TC[Scopus]:19  IF:4.4/4.2 | Submit date：2022/05/13
Data Decomposition  Deterministic And Interval Predictions  Hybrid Prediction Model  Improved Extreme Learning Machine  Mathematical Modelling  Multi-objective Optimization Approach  
Optimized modeling and opportunity cost analysis for overloaded interconnected dangerous goods in warehouse operations Journal article
Sun, Jing, Zhang, Fangwei, Lu, Peicheng, Yee, Janney. Optimized modeling and opportunity cost analysis for overloaded interconnected dangerous goods in warehouse operations[J]. Applied Mathematical Modelling, 2021, 90, 151-164.
Authors:  Sun, Jing;  Zhang, Fangwei;  Lu, Peicheng;  Yee, Janney
Favorite | TC[WOS]:6 TC[Scopus]:8  IF:4.4/4.2 | Submit date：2021/12/07
Dangerous Goods  Genetic-bp Neural Network  Interconnected Warehouse  Opportunity Cost  Overloaded Condition  
Three-stage heuristic algorithm for three-dimensional irregular packing problem Journal article
Wu Hongteng, Leung Stephen C.H., Si Yain-whar, Zhang Defu, Lin Adi. Three-stage heuristic algorithm for three-dimensional irregular packing problem[J]. Applied Mathematical Modelling, 2017, 41, 431-444.
Authors:  Wu Hongteng;  Leung Stephen C.H.;  Si Yain-whar;  Zhang Defu;  Lin Adi
Favorite | TC[WOS]:16 TC[Scopus]:23  IF:4.4/4.2 | Submit date：2018/10/30
Packing  Irregular Packing Problem  Three-stage Heuristic Algorithms  
A dual beam model for geosynthetic-reinforced granular fill on an elastic foundation Journal article
Lin-Shuang Zhao, Wan-Huan Zhou, Behzad Fatahi, Xi-Bin Li, Ka-Veng Yuen. A dual beam model for geosynthetic-reinforced granular fill on an elastic foundation[J]. Applied Mathematical Modelling, 2016, 40(21-22), 9254-9268.
Authors:  Lin-Shuang Zhao;  Wan-Huan Zhou;  Behzad Fatahi;  Xi-Bin Li;  Ka-Veng Yuen
Favorite | TC[WOS]:43 TC[Scopus]:50  IF:4.4/4.2 | Submit date：2018/12/21
Analytical Solution  Geosynthetic Reinforced Granular Fill  Euler–bernoulli Beam  Timoshenko Beam  Parametric Study  
Integrating Support Vector Regression with Particle Swarm Optimization for numerical modeling for algal blooms of freshwater Journal article
Lou,Inchio, Xie,Zhengchao, Ung,Wai Kin, Mok,Kai Meng. Integrating Support Vector Regression with Particle Swarm Optimization for numerical modeling for algal blooms of freshwater[J]. Applied Mathematical Modelling, 2015, 39(19), 5907-5916.
Authors:  Lou,Inchio;  Xie,Zhengchao;  Ung,Wai Kin;  Mok,Kai Meng
Favorite | TC[WOS]:19 TC[Scopus]:20  IF:4.4/4.2 | Submit date：2021/03/09
Algal Bloom  Particle Swarm Optimization  Phytoplankton Abundance  Prediction And Forecast Models  Support Vector Regression  
Integrating Support Vector Regression with Particle Swarm Optimization for numerical modeling for algal blooms of freshwater Journal article
Inchio Lou, Zhengchao Xie, Wai Kin Ung, Kai Meng Mok. Integrating Support Vector Regression with Particle Swarm Optimization for numerical modeling for algal blooms of freshwater[J]. Applied Mathematical Modelling, 2015, 39(19), 5907-5916.
Authors:  Inchio Lou;  Zhengchao Xie;  Wai Kin Ung;  Kai Meng Mok
Favorite | TC[WOS]:19 TC[Scopus]:20  IF:4.4/4.2 | Submit date：2019/02/12
Algal Bloom  Particle Swarm Optimization  Phytoplankton Abundance  Prediction And Forecast Models  Support Vector Regression  
A two-stage queueing network with MAP inputs and buffer sharing Journal article
Wenhui Zhou, Zhaotong Lian, Wei Xu, Weixiang Huang. A two-stage queueing network with MAP inputs and buffer sharing[J]. Applied Mathematical Modelling, 2013, 37(6), 3736-3747.
Authors:  Wenhui Zhou;  Zhaotong Lian;  Wei Xu;  Weixiang Huang
Favorite | TC[WOS]:3 TC[Scopus]:4  IF:4.4/4.2 | Submit date：2019/08/01
Buffer Sharing  Map  Matrix Filtrate Technique  Two-stage Queueing Network  
A tandem network with a sharing buffer Journal article
Wenhui Zhou, Zhaotong Lian. A tandem network with a sharing buffer[J]. Applied mathematical modelling, 2011, 35(9), 4507-4515.
Authors:  Wenhui Zhou;  Zhaotong Lian
Favorite | TC[WOS]:7 TC[Scopus]:9  IF:4.4/4.2 | Submit date：2019/11/25
Buffer Sharing  Tandem Network  Loss Probability  Sojourn Time