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Teaching–learning–based artificial bee colony for solar photovoltaic parameter estimation

Applied energy, 2018-02, Vol.212, p.1578-1588

2018

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Metal Organic Frameworks (MOFs) and ultrasound: A review

Ultrasonics sonochemistry, 2019-04, Vol.52, p.106-119

2019

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Integration of new evolutionary approach with artificial neural network for solving short term load forecast problem

Applied energy, 2018-05, Vol.217, p.537-549

2018

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Short-term wind power forecasting based on support vector machine with improved dragonfly algorithm

Journal of cleaner production, 2020-01, Vol.242, p.118447, Article 118447

2020

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Corrosion protection for mild steel by extract from the waste of lychee fruit in HCl solution: Experimental and theoretical studies

Journal of colloid and interface science, 2018-06, Vol.520, p.41-49

2018

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Investigation on fish surimi gel as promising food material for 3D printing

Journal of food engineering, 2018-03, Vol.220, p.101-108

2018

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Deep Transfer Learning for Image‐Based Structural Damage Recognition

Computer-aided civil and infrastructure engineering, 2018-09, Vol.33 (9), p.748-768

2018

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High-flux thin film composite membranes for nanofiltration mediated by a rapid co-deposition of polydopamine/piperazine

Journal of membrane science, 2018-05, Vol.554, p.97-108

2018

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Forecasting short-term renewable energy consumption of China using a novel fractional nonlinear grey Bernoulli model

Renewable energy, 2019-09, Vol.140, p.70-87

2019

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Biomimetic ultra-broadband perfect absorbers optimised with reinforcement learning

Physical chemistry chemical physics : PCCP, 2020-01, Vol.22 (4), p.2337-2342

2020

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Flexible thermoelectric materials and device optimization for wearable energy harvesting

Journal of materials chemistry. C, Materials for optical and electronic devices, 2015-01, Vol.3 (4), p.1362-1374

2015

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Machine Learning Assisted Synthesis of Metal–Organic Nanocapsules

Journal of the American Chemical Society, 2020-01, Vol.142 (3), p.1475-1481

2020

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Investigation on lemon juice gel as food material for 3D printing and optimization of printing parameters

Food science & technology, 2018-01, Vol.87, p.67-76

2018

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Ultrasonic nano-emulsification – A review

Ultrasonics sonochemistry, 2019-04, Vol.52, p.88-105

2019

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A novel approach based on hybrid vortex search algorithm and differential evolution for identifying the optimal parameters of PEM fuel cell

Renewable energy, 2020-02, Vol.146, p.1833-1845

2020

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Parameter estimation of photovoltaic system using imperialist competitive algorithm

Renewable energy, 2017-10, Vol.111, p.307-320

2017

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Bio-oil from fast pyrolysis of lignin: Effects of process and upgrading parameters

Bioresource technology, 2017-10, Vol.241, p.1118-1126

2017

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Extracting optimal parameters of PEM fuel cells using Salp Swarm Optimizer

Renewable energy, 2018-04, Vol.119, p.641-648

El-Fergany, Attia A.

2018

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Removal of the heavy metal ion nickel (II) via an adsorption method using flower globular magnesium hydroxide

Journal of hazardous materials, 2019-07, Vol.373, p.131-140

2019

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Power extraction efficiency optimization of horizontal-axis wind turbines through optimizing control parameters of yaw control systems using an intelligent method

Applied energy, 2018-08, Vol.224, p.267-279

2018

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Extended forecast methods for day-ahead electricity spot prices applying artificial neural networks

Applied energy, 2016-01, Vol.162, p.218-230

2016

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Insights into Carbonation Kinetics of Fly Ash from Victorian Lignite for CO2 Sequestration

Energy & fuels, 2018-04, Vol.32 (4), p.4569-4578

2018

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Predicting and optimising the energy yield of perovskite-on-silicon tandem solar cells under real world conditions

Energy & environmental science, 2017-09, Vol.10 (9), p.1983-1993

2017

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From Crystal to Adsorption Column: Challenges in Multiscale Computational Screening of Materials for Adsorption Separation Processes

Industrial & engineering chemistry research, 2018-11, Vol.57 (45), p.15491-15511

2018

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Parameters identification of PV solar cells and modules using flexible particle swarm optimization algorithm

Energy (Oxford), 2019-07, Vol.179, p.358-372

2019

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Teaching–learning–based artificial bee colony for solar photovoltaic parameter estimation

Metal Organic Frameworks (MOFs) and ultrasound: A review

Integration of new evolutionary approach with artificial neural network for solving short term load forecast problem

Short-term wind power forecasting based on support vector machine with improved dragonfly algorithm

Corrosion protection for mild steel by extract from the waste of lychee fruit in HCl solution: Experimental and theoretical studies

Investigation on fish surimi gel as promising food material for 3D printing

Deep Transfer Learning for Image‐Based Structural Damage Recognition

High-flux thin film composite membranes for nanofiltration mediated by a rapid co-deposition of polydopamine/piperazine

Forecasting short-term renewable energy consumption of China using a novel fractional nonlinear grey Bernoulli model

Biomimetic ultra-broadband perfect absorbers optimised with reinforcement learning

Flexible thermoelectric materials and device optimization for wearable energy harvesting

Machine Learning Assisted Synthesis of Metal–Organic Nanocapsules

Investigation on lemon juice gel as food material for 3D printing and optimization of printing parameters

Ultrasonic nano-emulsification – A review

A novel approach based on hybrid vortex search algorithm and differential evolution for identifying the optimal parameters of PEM fuel cell

Parameter estimation of photovoltaic system using imperialist competitive algorithm

Bio-oil from fast pyrolysis of lignin: Effects of process and upgrading parameters

Extracting optimal parameters of PEM fuel cells using Salp Swarm Optimizer

Removal of the heavy metal ion nickel (II) via an adsorption method using flower globular magnesium hydroxide

Power extraction efficiency optimization of horizontal-axis wind turbines through optimizing control parameters of yaw control systems using an intelligent method

Extended forecast methods for day-ahead electricity spot prices applying artificial neural networks

Insights into Carbonation Kinetics of Fly Ash from Victorian Lignite for CO2 Sequestration

Predicting and optimising the energy yield of perovskite-on-silicon tandem solar cells under real world conditions

From Crystal to Adsorption Column: Challenges in Multiscale Computational Screening of Materials for Adsorption Separation Processes

Parameters identification of PV solar cells and modules using flexible particle swarm optimization algorithm

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