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A Theoretical Energy Loss Calculation Method for Transformer District Based on Improved Convolutional Neural Networks

IEEE transactions on industry applications, 2022-09, Vol.58 (5), p.5885-5894

2022

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Prediction of potentially toxic elements in water resources using MLP-NN, RBF-NN, and ANFIS: a comprehensive review

Environmental science and pollution research international, 2024-05, Vol.31 (21), p.30370-30398

2024

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Multiobjective reservoir operating rules based on cascade reservoir input variable selection method

Water resources research, 2017-04, Vol.53 (4), p.3446-3463

2017

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Real-Time Event-Driven Learning in Highly Volatile Systems: A Case for Embedded Machine Learning for SCADA Systems

IEEE access, 2022, Vol.10, p.50794-50806

2022

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Multi-task Optimization-based Test Data Generation for Mutation Testing via Relevance of Mutant Branch and Input Variable

IEEE access, 2020-01, Vol.8, p.1-1

2020

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EventiC: A Real-Time Unbiased Event-Based Learning Technique for Complex Systems

IEEE transactions on systems, man, and cybernetics. Systems, 2020-05, Vol.50 (5), p.1649-1662

2020

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Fuzzy identification of nonlinear dynamic system based on input variable selection and particle swarm optimization parameter optimization

IEEE access, 2020-01, Vol.8, p.1-1

2020

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Importance analysis on the failure probability of the fuzzy and random system and its state dependent parameter solution

Fuzzy sets and systems, 2014-09, Vol.250, p.69-89

2014

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An Elitist Non-Dominated Multi-Objective Genetic Algorithm Based Temperature Aware Circuit Synthesis

International journal of interactive multimedia and artificial intelligence, 2020-12, Vol.6 (4), p.26-38

2020

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Deep Learning With Spatiotemporal Attention-Based LSTM for Industrial Soft Sensor Model Development

IEEE transactions on industrial electronics (1982), 2021-05, Vol.68 (5), p.4404-4414

2021

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Feature Selection for Neural Networks Using Group Lasso Regularization

IEEE transactions on knowledge and data engineering, 2020-04, Vol.32 (4), p.659-673

2020

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Nonlinear Dynamic Soft Sensor Modeling With Supervised Long Short-Term Memory Network

IEEE transactions on industrial informatics, 2020-05, Vol.16 (5), p.3168-3176

2020

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Performance-Driven Distributed PCA Process Monitoring Based on Fault-Relevant Variable Selection and Bayesian Inference

IEEE transactions on industrial electronics (1982), 2016-01, Vol.63 (1), p.377-386

2016

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Basis-Adaptive Sparse Polynomial Chaos Expansion for Probabilistic Power Flow

IEEE transactions on power systems, 2017-01, Vol.32 (1), p.694-704

2017

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Probabilistic Power Flow Analysis Based on the Stochastic Response Surface Method

IEEE transactions on power systems, 2016-05, Vol.31 (3), p.2307-2315

2016

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Pairwise testing for systems with data derived from real-valued variable inputs

Software, practice & experience, 2016-03, Vol.46 (3), p.381-403

2016

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Sparse Exponential Discriminant Analysis and Its Application to Fault Diagnosis

IEEE transactions on industrial electronics (1982), 2018-07, Vol.65 (7), p.5931-5940

2018

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SemFix: Program repair via semantic analysis

2013 35th International Conference on Software Engineering (ICSE), 2013, p.772-781

2013

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Fault Diagnosis of Complex Processes Using Sparse Kernel Local Fisher Discriminant Analysis

IEEE transaction on neural networks and learning systems, 2020-05, Vol.31 (5), p.1581-1591

2020

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Leader-Based Optimal Coordination Control for the Consensus Problem of Multiagent Differential Games via Fuzzy Adaptive Dynamic Programming

IEEE transactions on fuzzy systems, 2015-02, Vol.23 (1), p.152-163

2015

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Optimization of Dielectric Properties of Pongamia Pinnata Methyl Ester for Power Transformers Using Response Surface Methodology

IEEE transactions on dielectrics and electrical insulation, 2022-10, Vol.29 (5), p.1931-1939

2022

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Effect of input variables on cooling load prediction accuracy of an office building

Applied thermal engineering, 2018-01, Vol.128, p.225-234

2018

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Short-Term Load Forecasting Based on a Semi-Parametric Additive Model

IEEE transactions on power systems, 2012-02, Vol.27 (1), p.134-141

2012

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Input variable selection: mutual information and linear mixing measures

IEEE transactions on knowledge and data engineering, 2006-01, Vol.18 (1), p.37-46

2006

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Data-Driven Batch-End Quality Modeling and Monitoring Based on Optimized Sparse Partial Least Squares

IEEE transactions on industrial electronics (1982), 2020-05, Vol.67 (5), p.4098-4107

2020

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A Theoretical Energy Loss Calculation Method for Transformer District Based on Improved Convolutional Neural Networks

Prediction of potentially toxic elements in water resources using MLP-NN, RBF-NN, and ANFIS: a comprehensive review

Multiobjective reservoir operating rules based on cascade reservoir input variable selection method

Real-Time Event-Driven Learning in Highly Volatile Systems: A Case for Embedded Machine Learning for SCADA Systems

Multi-task Optimization-based Test Data Generation for Mutation Testing via Relevance of Mutant Branch and Input Variable

EventiC: A Real-Time Unbiased Event-Based Learning Technique for Complex Systems

Fuzzy identification of nonlinear dynamic system based on input variable selection and particle swarm optimization parameter optimization

Importance analysis on the failure probability of the fuzzy and random system and its state dependent parameter solution

An Elitist Non-Dominated Multi-Objective Genetic Algorithm Based Temperature Aware Circuit Synthesis

Deep Learning With Spatiotemporal Attention-Based LSTM for Industrial Soft Sensor Model Development

Feature Selection for Neural Networks Using Group Lasso Regularization

Nonlinear Dynamic Soft Sensor Modeling With Supervised Long Short-Term Memory Network

Performance-Driven Distributed PCA Process Monitoring Based on Fault-Relevant Variable Selection and Bayesian Inference

Basis-Adaptive Sparse Polynomial Chaos Expansion for Probabilistic Power Flow

Probabilistic Power Flow Analysis Based on the Stochastic Response Surface Method

Pairwise testing for systems with data derived from real-valued variable inputs

Sparse Exponential Discriminant Analysis and Its Application to Fault Diagnosis

SemFix: Program repair via semantic analysis

Fault Diagnosis of Complex Processes Using Sparse Kernel Local Fisher Discriminant Analysis

Leader-Based Optimal Coordination Control for the Consensus Problem of Multiagent Differential Games via Fuzzy Adaptive Dynamic Programming

Optimization of Dielectric Properties of Pongamia Pinnata Methyl Ester for Power Transformers Using Response Surface Methodology

Effect of input variables on cooling load prediction accuracy of an office building

Short-Term Load Forecasting Based on a Semi-Parametric Additive Model

Input variable selection: mutual information and linear mixing measures

Data-Driven Batch-End Quality Modeling and Monitoring Based on Optimized Sparse Partial Least Squares

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