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A two-stage decomposition method for integrated optimization of islanded AC grid operation scheduling and network reconfiguration

International journal of electrical power & energy systems, 2022-03, Vol.136, p.107647, Article 107647

2022

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Microgrid Operational Planning using a Hybrid Neural Network with Resource-aware Scenario Selection

Simulation modelling practice and theory, 2022-09, Vol.119, p.102583, Article 102583

2022

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Effective sampling for drift mitigation in machine learning using scenario selection: A microgrid case study

Applied energy, 2023-07, Vol.341, p.121048, Article 121048

2023

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Estimating gene expression from high-dimensional DNA methylation levels in cancer data: A bimodal unsupervised dimension reduction algorithm

Computers & industrial engineering, 2019-04, Vol.130, p.348-357

2019

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Intra-Cluster Distance Minimization in DNA Methylation Analysis Using an Advanced Tabu-Based Iterative kk-Medoids Clustering Algorithm (T-CLUST)

IEEE/ACM transactions on computational biology and bioinformatics, 2020-07, Vol.17 (4), p.1241-1252

2020

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Intra-Cluster Distance Minimization in DNA Methylation Analysis Using an Advanced Tabu-Based Iterative k-Medoids Clustering Algorithm (T-CLUST)

IEEE/ACM transactions on computational biology and bioinformatics, 2020-07, Vol.17 (4), p.1241-1252

2020

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A route-based network simulation framework for airport ground system disruptions

Computers & industrial engineering, 2018-10, Vol.124, p.449-461

2018

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Operationalizing resilience: A deductive fault-driven resilience index for enabling adaptation

Process safety and environmental protection, 2023-09, Vol.177, p.1085-1102

2023

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Real-time digital twin-based optimization with predictive simulation learning

Journal of simulation : JOS, 2024-01, Vol.ahead-of-print (ahead-of-print), p.1-18

2024

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Particle Filtering-Based Low-Elevation Target Tracking With Multipath Interference Over the Ocean Surface

IEEE transactions on aerospace and electronic systems, 2020-08, Vol.56 (4), p.3044-3054

2020

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Intra-Cluster Distance Minimization in DNA Methylation Analysis Using an Advanced Tabu-Based Iterative -Medoids Clustering Algorithm (T-CLUST)

IEEE/ACM transactions on computational biology and bioinformatics, 2020-07, Vol.17 (4), p.1241-1252

2020

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Assessment of occupational safety risks in Floridian solid waste systems using Bayesian analysis

Waste management & research, 2015-10, Vol.33 (10), p.894-907

2015

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A Sequential Sampling-based Particle Swarm Optimization to Control Droop Coefficients of Distributed Generation Units in Microgrid Clusters

Electric power systems research, 2023-03, Vol.216, p.109074, Article 109074

2023

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In-situ optimization of thermoset composite additive manufacturing via deep learning and computer vision

Additive manufacturing, 2022-10, Vol.58, p.102985, Article 102985

2022

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Relative Entropy-Based Density Selection in Particle Filtering for Load Demand Forecast

IEEE transactions on automation science and engineering, 2017-04, Vol.14 (2), p.946-954

2017

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Machine Learning Based Simulation for Fault Detection in Microgrids

2022 Winter Simulation Conference (WSC), 2022, p.701-712

2022

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A multiple perspective modeling and simulation approach for renewable energy policy evaluation

Computers & industrial engineering, 2016-12, Vol.102, p.280-293

2016

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A Dynamic Data-driven Approach for Operation Planning of Microgrids

Procedia computer science, 2015, Vol.51, p.2543-2552

2015

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A particle filtering-based estimation of distribution algorithm for multi-objective optimisation

International journal of simulation & process modelling, 2016, Vol.11 (3/4), p.176

2016

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Multi-objective agent-based modeling of single-stream recycling programs

Resources, conservation and recycling, 2014-11, Vol.92, p.190-205

2014

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Hybrid agent-based simulation for policy evaluation of solar power generation systems

Simulation modelling practice and theory, 2011-11, Vol.19 (10), p.2189-2205

2011

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An evolutionary simulation optimization framework for interruptible load management in the smart grid

Sustainable cities and society, 2018-08, Vol.41, p.802-809

2018

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Microgrid Operational Planning Using Deviation Clustering Within a DDDAS Framework

Dynamic Data Driven Applications Systems, 2020, Vol.12312, p.77-84

2020

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Continuous-discrete simulation-based decision making framework for solid waste management and recycling programs

Computers & industrial engineering, 2013-07, Vol.65 (3), p.438-454

2013

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Dynamic Data Driven Adaptive Simulation Framework for Automated Control in Microgrids

IEEE transactions on smart grid, 2017-01, Vol.8 (1), p.209-218

2017

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A two-stage decomposition method for integrated optimization of islanded AC grid operation scheduling and network reconfiguration

Microgrid Operational Planning using a Hybrid Neural Network with Resource-aware Scenario Selection

Effective sampling for drift mitigation in machine learning using scenario selection: A microgrid case study

Estimating gene expression from high-dimensional DNA methylation levels in cancer data: A bimodal unsupervised dimension reduction algorithm

Intra-Cluster Distance Minimization in DNA Methylation Analysis Using an Advanced Tabu-Based Iterative kk-Medoids Clustering Algorithm (T-CLUST)

Intra-Cluster Distance Minimization in DNA Methylation Analysis Using an Advanced Tabu-Based Iterative k-Medoids Clustering Algorithm (T-CLUST)

A route-based network simulation framework for airport ground system disruptions

Operationalizing resilience: A deductive fault-driven resilience index for enabling adaptation

Real-time digital twin-based optimization with predictive simulation learning

Particle Filtering-Based Low-Elevation Target Tracking With Multipath Interference Over the Ocean Surface

Intra-Cluster Distance Minimization in DNA Methylation Analysis Using an Advanced Tabu-Based Iterative -Medoids Clustering Algorithm (T-CLUST)

Assessment of occupational safety risks in Floridian solid waste systems using Bayesian analysis

A Sequential Sampling-based Particle Swarm Optimization to Control Droop Coefficients of Distributed Generation Units in Microgrid Clusters

In-situ optimization of thermoset composite additive manufacturing via deep learning and computer vision

Relative Entropy-Based Density Selection in Particle Filtering for Load Demand Forecast

Machine Learning Based Simulation for Fault Detection in Microgrids

A multiple perspective modeling and simulation approach for renewable energy policy evaluation

A Dynamic Data-driven Approach for Operation Planning of Microgrids

A particle filtering-based estimation of distribution algorithm for multi-objective optimisation

Multi-objective agent-based modeling of single-stream recycling programs

Hybrid agent-based simulation for policy evaluation of solar power generation systems

An evolutionary simulation optimization framework for interruptible load management in the smart grid

Microgrid Operational Planning Using Deviation Clustering Within a DDDAS Framework

Continuous-discrete simulation-based decision making framework for solid waste management and recycling programs

Dynamic Data Driven Adaptive Simulation Framework for Automated Control in Microgrids

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