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Immunoblot analysis and immunohistochemical characterization of CYP2A expression in human olfactory mucosa

Biochemical pharmacology, 2003-10, Vol.66 (7), p.1245-1251

2003

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Glass Transition Temperature Prediction of Polymers via Graph Reinforcement Learning

Langmuir, 2024-09, Vol.40 (35), p.18568-18580

2024

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NNI‐SMOTE‐XGBoost: A Novel Small Sample Analysis Method for Properties Prediction of Polymer Materials

Macromolecular theory and simulations, 2021-09, Vol.30 (5), p.n/a

2021

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Graph neural networks with molecular segmentation for property prediction and structure–property relationship discovery

Computers & chemical engineering, 2023-11, Vol.179, p.108403, Article 108403

2023

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Application of Gaussian processes and transfer learning to prediction and analysis of polymer properties

Computational materials science, 2023-01, Vol.216, p.111859, Article 111859

2023

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Stacked supervised auto-encoder with graph regularization for feature extraction and fault classification in chemical processes

Journal of process control, 2023-07, Vol.127, p.102999, Article 102999

2023

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Maximum sensitivity based fractional IMC–PID controller design for non-integer order system with time delay

Journal of process control, 2015-07, Vol.31, p.17-29

2015

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A novel class of non-Gaussian system performance assessment and controller parameter tuning methods

ISA transactions, 2024-09

2024

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Experimental and numerical research on the performance characteristics of OPLVCR engine based on the NSGA II algorithm using digital twins

Energy conversion and management, 2021-05, Vol.236, p.114052, Article 114052

2021

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Experimental investigation the effects of Miller cycle coupled with asynchronous intake valves on cycle-to-cycle variations and performance of the SI engine

Energy (Oxford), 2023-01, Vol.263, p.125868, Article 125868

2023

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GATBoost: Mining graph attention networks-based important substructures of polymers for a better property prediction

Materials today communications, 2024-03, Vol.38, p.107577, Article 107577

2024

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Experimental investigation on the effects of Miller cycle coupled with asynchronous intake valves on the performance of a high compression ratio GDI engine

Fuel (Guildford), 2023-01, Vol.332, p.126088, Article 126088

2023

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Development and Validation of a Variable Displacement Variable Compression Ratio Miller Cycle Technology on an Automotive Gasoline Engine

Energies (Basel), 2023-06, Vol.16 (11), p.4480

2023

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Design and implementation of automatic fault diagnosis system for wind turbine

Computers & electrical engineering, 2020-10, Vol.87, p.106754, Article 106754

2020

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A combinatorial machine-learning-driven approach for predicting glass transition temperature based on numerous molecular descriptors

Molecular simulation, 2023-04, Vol.49 (6), p.617-627

2023

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Combustion and energy balance analysis of an unthrottled gasoline engine equipped with innovative variable valvetrain

Applied energy, 2020-06, Vol.268, p.115051, Article 115051

2020

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Unsupervised machine learning methods for polymer nanocomposites data via molecular dynamics simulation

Molecular simulation, 2020-12, Vol.46 (18), p.1509-1521

2020

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Online ADMM-Based Extreme Learning Machine for Sparse Supervised Learning

IEEE access, 2019, Vol.7, p.64533-64544

2019

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Corrigendum to “Experimental and numerical research on the performance characteristics of OPLVCR engine based on the NSGA II algorithm using digital twins” [Energy Convers. Manage. 236 (2021) 114052]

Energy conversion and management, 2021-08, Vol.241, p.114289, Article 114289

2021

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Effect of a novel mechanical CVVL system on economic performance of a turbocharged spark-ignition engine fuelled with gasoline and ethanol blend

Fuel (Guildford), 2020-03, Vol.263, p.116697, Article 116697

2020

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Fractional calculus & machine learning methods based rubber stress-strain relationship prediction

Molecular simulation, 2022-07, Vol.48 (10), p.944-954

2022

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Accelerating the design and development of polymeric materials via deep learning: Current status and future challenges

APL machine learning, 2023-06, Vol.1 (2), p.021501-021501-20

2023

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Multi-Kernel Online Reinforcement Learning for Path Tracking Control of Intelligent Vehicles

IEEE transactions on systems, man, and cybernetics. Systems, 2021-11, Vol.51 (11), p.6962-6975

2021

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Dynamic extreme learning machine identification for nonlinear system with long time delay

2017 36th Chinese Control Conference (CCC), 2017, p.2094-2098

2017

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Fractional modeling of heating process using improved NLJ algorithm

2016 35th Chinese Control Conference (CCC), 2016, p.10447-10452

2016

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Immunoblot analysis and immunohistochemical characterization of CYP2A expression in human olfactory mucosa

Glass Transition Temperature Prediction of Polymers via Graph Reinforcement Learning

NNI‐SMOTE‐XGBoost: A Novel Small Sample Analysis Method for Properties Prediction of Polymer Materials

Graph neural networks with molecular segmentation for property prediction and structure–property relationship discovery

Application of Gaussian processes and transfer learning to prediction and analysis of polymer properties

Stacked supervised auto-encoder with graph regularization for feature extraction and fault classification in chemical processes

Maximum sensitivity based fractional IMC–PID controller design for non-integer order system with time delay

A novel class of non-Gaussian system performance assessment and controller parameter tuning methods

Experimental and numerical research on the performance characteristics of OPLVCR engine based on the NSGA II algorithm using digital twins

Experimental investigation the effects of Miller cycle coupled with asynchronous intake valves on cycle-to-cycle variations and performance of the SI engine

GATBoost: Mining graph attention networks-based important substructures of polymers for a better property prediction

Experimental investigation on the effects of Miller cycle coupled with asynchronous intake valves on the performance of a high compression ratio GDI engine

Development and Validation of a Variable Displacement Variable Compression Ratio Miller Cycle Technology on an Automotive Gasoline Engine

Design and implementation of automatic fault diagnosis system for wind turbine

A combinatorial machine-learning-driven approach for predicting glass transition temperature based on numerous molecular descriptors

Combustion and energy balance analysis of an unthrottled gasoline engine equipped with innovative variable valvetrain

Unsupervised machine learning methods for polymer nanocomposites data via molecular dynamics simulation

Online ADMM-Based Extreme Learning Machine for Sparse Supervised Learning

Corrigendum to “Experimental and numerical research on the performance characteristics of OPLVCR engine based on the NSGA II algorithm using digital twins” [Energy Convers. Manage. 236 (2021) 114052]

Effect of a novel mechanical CVVL system on economic performance of a turbocharged spark-ignition engine fuelled with gasoline and ethanol blend

Fractional calculus & machine learning methods based rubber stress-strain relationship prediction

Accelerating the design and development of polymeric materials via deep learning: Current status and future challenges

Multi-Kernel Online Reinforcement Learning for Path Tracking Control of Intelligent Vehicles

Dynamic extreme learning machine identification for nonlinear system with long time delay

Fractional modeling of heating process using improved NLJ algorithm

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