Applications of Artificial Intelligence in Process Systems Engineering
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21

(FIVE YEARS 21)

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Published By Elsevier

9780128210925

Latest Documents Most Cited Documents Contributed Authors Related Sources Related Keywords

Integrated machine learning framework for computer-aided chemical product design

Applications of Artificial Intelligence in Process Systems Engineering ◽

10.1016/b978-0-12-821092-5.00004-8 ◽

2021 ◽

pp. 325-359

Author(s):

Qilei Liu ◽

Haitao Mao ◽

Lei Zhang ◽

Linlin Liu ◽

Jian Du

Keyword(s):

Machine Learning ◽

Product Design ◽

Chemical Product ◽

Learning Framework ◽

Computer Aided ◽

Chemical Product Design

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Machine learning-based intermittent equipment scheduling model for flexible production process

Applications of Artificial Intelligence in Process Systems Engineering ◽

10.1016/b978-0-12-821092-5.00018-8 ◽

2021 ◽

pp. 473-495

Author(s):

Zifei Wang ◽

Yi Man

Keyword(s):

Machine Learning ◽

Production Process ◽

Flexible Production ◽

Scheduling Model

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On the robust and stable flowshop scheduling under stochastic and dynamic disruptions

Applications of Artificial Intelligence in Process Systems Engineering ◽

10.1016/b978-0-12-821092-5.00013-9 ◽

2021 ◽

pp. 381-416

Author(s):

Zhaolong Yang ◽

Fuqiang Li ◽

Feng Liu

Keyword(s):

Flowshop Scheduling

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Fault diagnosis in industrial processes based on predictive and descriptive machine learning methods

Applications of Artificial Intelligence in Process Systems Engineering ◽

10.1016/b978-0-12-821092-5.00002-4 ◽

2021 ◽

pp. 207-254

Author(s):

Ahmed Ragab ◽

Mohamed El Koujok ◽

Hakim Ghezzaz ◽

Mouloud Amazouz

Keyword(s):

Machine Learning ◽

Fault Diagnosis ◽

Industrial Processes ◽

Learning Methods ◽

Machine Learning Methods

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Deep learning in QSPR modeling for the prediction of critical properties

Applications of Artificial Intelligence in Process Systems Engineering ◽

10.1016/b978-0-12-821092-5.00012-7 ◽

2021 ◽

pp. 11-37

Author(s):

Yang Su ◽

Weifeng Shen

Keyword(s):

Deep Learning ◽

Critical Properties ◽

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Front Matter

Applications of Artificial Intelligence in Process Systems Engineering ◽

10.1016/b978-0-12-821092-5.09993-9 ◽

2021 ◽

pp. i-ii

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Machine learning-based energy consumption forecasting model for process industry—Hybrid PSO-LSSVM algorithm electricity consumption forecasting model for papermaking process

Applications of Artificial Intelligence in Process Systems Engineering ◽

10.1016/b978-0-12-821092-5.00017-6 ◽

2021 ◽

pp. 119-142

Author(s):

Yi Man ◽

Yusha Hu ◽

Jigeng Li ◽

Mengna Hong

Keyword(s):

Machine Learning ◽

Energy Consumption ◽

Electricity Consumption ◽

Process Industry ◽

Forecasting Model

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Intelligent approaches to forecast the chemical property: Case study in papermaking process

Applications of Artificial Intelligence in Process Systems Engineering ◽

10.1016/b978-0-12-821092-5.00001-2 ◽

2021 ◽

pp. 93-118

Author(s):

Yang Zhang ◽

Jigeng Li ◽

Mengna Hong ◽

Yi Man

Keyword(s):

Chemical Property

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Contributors

Applications of Artificial Intelligence in Process Systems Engineering ◽

10.1016/b978-0-12-821092-5.09994-0 ◽

2021 ◽

pp. xv-xvii

Author(s):

Mouloud Amazouz ◽

Masoud Babaei ◽

Selim Ceylan ◽

Zeynep Ceylan ◽

Lichun Dong ◽

...

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Artificial intelligence algorithms for proactive dynamic vehicle routing problem

Applications of Artificial Intelligence in Process Systems Engineering ◽

10.1016/b978-0-12-821092-5.00011-5 ◽

2021 ◽

pp. 497-522

Author(s):

Xianlong Ge ◽

Yuanzhi Jin

Keyword(s):

Artificial Intelligence ◽

Vehicle Routing ◽

Vehicle Routing Problem ◽

Dynamic Vehicle Routing ◽

Dynamic Vehicle Routing Problem ◽

Routing Problem

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