Jie Zhang 0005 - researchr alias

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Viewing Publication 1 - 37 from 37

2026

2 Extraction from Various Essential Oil Sources Using Optimized Machine Learning and PCA-Based DescriptorsMohamed Kouider Amar, Mohamed Hentabli, Nabil Touzout, Ilhem Bouaziz, Soufiane Rahal, Maamar Laidi, Abdeltif Amrane, Salah Hanini, Jie Zhang 0005, Muhammad Farhan Saeed, Aftab Jamal. jcisd, 66(1):194-215, 2026. [doi]

2025

Batch-to-Batch Optimization Control of Fed-Batch Fermentation Process Based on Recursively Updated Extreme Learning Machine ModelsAlex Moore, Jie Zhang 0005. algorithms, 18(2):87, 2025. [doi]

Modelling the Degree of Cure in a Reactive Polymer Composite Moulding Process Through Hybrid Mechanistic Neural Network ModelsSamuel Sells, Jie Zhang 0005. sncs, 6(5):517, June 2025. [doi]

Multimode Monitoring Method Based on Adaptive Importance Coding Dictionary LearningYouqing Wang, Mingxing Zheng, Mingliang Cui, Tongze Hou, Jie Zhang 0005, Xin Ma 0012. tr, 74(4):5439-5451, December 2025. [doi]

2024

Hybrid Mechanistic Neural Network Modelling of the Degree of Cure of Polymer CompositeSamuel Sells, Jie Zhang 0005. icaart 2024: 614-621 [doi]

2023

Reduced Bayesian Optimized Stacked Regressor (RBOSR): A highly efficient stacked approach for improved air pollution predictionDanny Hartanto Djarum, Zainal Ahmad, Jie Zhang 0005. asc, 144:110466, September 2023. [doi]

The Effect of the Stationary Phase on Resolution in the HPLC-Based Separation of Racemic Mixtures Using Vancomycin as a Chiral Selector: A Case Study with Profen Nonsteroidal Anti-Inflammatory DrugsDehbiya Gherdaoui, Madiha Melha Yahoum, Selma Toumi, Hichem Tahraoui, Fatma Bouazza, Sonia Lefnaoui, Abdelhamid Zeghdaoui, Abdeltif Amrane, Bassem Jaouadi, Jie Zhang 0005. symmetry, 15(12):2154, December 2023. [doi]

Inferential Composition Control of a Distillation Column Using Active Disturbance Rejection Control with Soft SensorsFahad Al Kalbani, Jie Zhang 0005. sensors, 23(2):1019, January 2023. [doi]

A Review on Data-Driven Condition Monitoring of Industrial EquipmentRuosen Qi, Jie Zhang 0005, Katy Spencer. algorithms, 16(1):9, January 2023. [doi]

A collaborative cuckoo search algorithm with modified operation modeQiangda Yang, Huan Huang, Jie Zhang 0005, Hongbo Gao, Peng Liu. eaai, 121:106006, May 2023. [doi]

2022

A Novel Selective Ensemble Learning Method for Smartphone Sensor-Based Human Activity Recognition Based on Hybrid Diversity Enhancement and Improved Binary Glowworm Swarm OptimizationYiming Tian, Jie Zhang 0005, Qi Chen, Zuojun Liu. access, 10:125027-125041, 2022. [doi]

Group Decision Making-Based Fusion for Human Activity Recognition in Body Sensor NetworksYiming Tian, Jie Zhang 0005, Qi Chen, Shuping Hou, Li Xiao. sensors, 22(21):8225, 2022. [doi]

2021

Dual Prototype Relaxation for Generalized Zero Shot LearningJie Zhang 0005, Haofeng Zhang, BingZhang Hu. icmcs 2021: 1-6 [doi]

A Novel Sensor-Based Human Activity Recognition Method Based on Hybrid Feature Selection and Combinational OptimizationYiming Tian, Jie Zhang 0005, Lipeng Li, Zuojun Liu. access, 9:107235-107249, 2021. [doi]

Molten steel temperature prediction using a hybrid model based on information interaction-enhanced cuckoo searchQiangda Yang, Yichuan Fu, Jie Zhang 0005. nca, 33(12):6487-6509, 2021. [doi]

2020

2019

2018

Point-to-Point Iterative Learning Control with Piecewise Constant InputsXiangfeng Shen, Zhihua Xiong, Jie Zhang 0005. iconac 2018: 1-6 [doi]

2017

Actuator fault monitoring and fault tolerant control in distillation columnsSulaiman Ayobami Lawal, Jie Zhang 0005. ijautcomp, 14(1):80-92, 2017. [doi]

2016

Convergence analysis of integrated predictive iterative learning control based on two-dimensional theoryZhihua Xiong, Yingdong Hong, Chen Chen, Jie Zhang 0005, Maiying Zhong. amcc 2016: 1259-1264 [doi]

2013

Reliable modeling of chemical duarability of high level waste glass using bootstrap aggregated neural networksDamson Leonard Kaunga, Jie Zhang 0005, Katy Ferguson, Carl Steele. icnc 2013: 178-183 [doi]

2010

Neural network based iterative learning control for product qualities in batch processesZhihua Xiong, Yixin Xu, Jin Dong, Jie Zhang 0005. ijmic, 11(1/2):107-114, 2010. [doi]

2007

Obtaining the Worst Case RGA and RDGA for Uncertain Systems via OptimizationRudy Agustriyanto, Jie Zhang 0005. amcc 2007: 5360-5365 [doi]

2005

An integrated batch-to-batch iterative learning control and within batch control strategy for batch processesZhihua Xiong, Jie Zhang 0005, Xiong Wang, Yongmao Xu. amcc 2005: 1935-1940 [doi]

2003

Batch-to-batch model-based iterative optimisation control for a batch polymerisation reactorZhihua Xiong, Jie Zhang 0005. amcc 2003: 1962-1967 [doi]

2002

Modeling and optimal control of fed-batch processes using control affine feedforward neural networksZhihua Xiong, Jie Zhang 0005. amcc 2002: 5025-5030 [doi]

2001

1996

Process modelling and fault diagnosis using fuzzy neural networksJie Zhang 0005, Julian Morris. fss, 79(1):127-140, 1996. [doi]

1994

Fault Diagnosis of a CSTR using fuzzy Neural NetworksJie Zhang 0005, A. Julian Morris, Gary A. Montague. airtc 1995: 153-158 [doi]

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