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Nature-inspired metaheuristic optimization in least squares support vector regression for obtaining bridge scour information

Information sciences, 2017-08, Vol.399, p.64-80

2017

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High Precision Reducers for Industrial Robots Driving 4th Industrial Revolution: State of Arts, Analysis, Design, Performance Evaluation and Perspective

International Journal of Precision Engineering and Manufacturing-Green Technology, 2018, 5(4), , pp.519-533

2018

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Machine learning in concrete strength simulations: Multi-nation data analytics

Construction & building materials, 2014-12, Vol.73, p.771-780

2014

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Predicting energy consumption in multiple buildings using machine learning for improving energy efficiency and sustainability

Journal of cleaner production, 2020-07, Vol.260, p.121082, Article 121082

2020

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Hybrid artificial intelligence approach based on metaheuristic and machine learning for slope stability assessment: A multinational data analysis

Expert systems with applications, 2016-03, Vol.46, p.60-68

2016

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Smart Artificial Firefly Colony Algorithm-Based Support Vector Regression for Enhanced Forecasting in Civil Engineering

Computer-aided civil and infrastructure engineering, 2015-09, Vol.30 (9), p.715-732

2015

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Proposing a hybrid metaheuristic optimization algorithm and machine learning model for energy use forecast in non-residential buildings

Scientific reports, 2022-01, Vol.12 (1), p.1065-1065, Article 1065

2022

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Rigid Precision Reducers for Machining Industrial Robots

International journal of precision engineering and manufacturing, 2021-08, Vol.22 (8), p.1469-1486

2021

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The COVID-19 Pandemic and the Antecedants for the Impulse Buying Behavior of US Citizens

Journal of competitiveness, 2020-09, Vol.12 (3), p.5-27

2020

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Pool boiling of HFE-7200 on nanoparticle-coating surfaces: Experiments and heat transfer analysis

International journal of heat and mass transfer, 2019-04, Vol.133, p.548-560

2019

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Predicting Compressive Strength of High-Performance Concrete Using Metaheuristic-Optimized Least Squares Support Vector Regression

Journal of computing in civil engineering, 2016-05, Vol.30 (3)

2016

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An Investigation on Pressure-Specific Volume–Temperature Behaviors of a Thermoplastic Under Industrial Conditions Using a Hot Runner Manifold

International journal of precision engineering and manufacturing, 2023-10, Vol.24 (10), p.1845-1853

2023

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Optimizing parameters of support vector machine using fast messy genetic algorithm for dispute classification

Expert systems with applications, 2014-06, Vol.41 (8), p.3955-3964

2014

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Hybrid machine learning for predicting strength of sustainable concrete

Soft computing (Berlin, Germany), 2020-10, Vol.24 (19), p.14965-14980

2020

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Impact Analysis of Tolerance and Contact Friction on a RV Reducer using FE Method

International journal of precision engineering and manufacturing, 2021-07, Vol.22 (7), p.1285-1292

2021

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Shear Strength Prediction in Reinforced Concrete Deep Beams Using Nature-Inspired Metaheuristic Support Vector Regression

Journal of computing in civil engineering, 2016-01, Vol.30 (1)

2016

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Electrophoretic deposition surfaces to enhance HFE-7200 pool boiling heat transfer and critical heat flux

International journal of thermal sciences, 2019-12, Vol.146, p.106107, Article 106107

2019

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Identification of Critical Watershed for Soil Conservation Using Game Theory-Based Approaches

Water resources management, 2021-08, Vol.35 (10), p.3105-3120

2021

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A Study on Kinematics, Dynamics, and Fuzzy Logic Controller Design for Remotely Operated Vehicles

Journal of Electrical Engineering & Technology, 2024, 19(4), , pp.2585-2596

2024

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Optimized artificial intelligence models for predicting project award price

Automation in construction, 2015-06, Vol.54, p.106-115

2015

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Bidding strategy to support decision-making by integrating fuzzy AHP and regression-based simulation

Automation in construction, 2013-11, Vol.35, p.517-527

2013

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Shear strength prediction of reinforced concrete beams by baseline, ensemble, and hybrid machine learning models

Soft computing (Berlin, Germany), 2020-03, Vol.24 (5), p.3393-3411

2020

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Developing a hybrid time-series artificial intelligence model to forecast energy use in buildings

Scientific reports, 2022-09, Vol.12 (1), p.1-24, Article 15775

2022

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Critically Leveraging Theory for Optimal Control of Quadrotor Unmanned Aircraft Systems

Applied sciences, 2024-03, Vol.14 (6), p.2414

2024

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Forecasting Time-Series Energy Data in Buildings Using an Additive Artificial Intelligence Model for Improving Energy Efficiency

Computational intelligence and neuroscience, 2021, Vol.2021 (1), p.6028573-6028573

2021

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Nature-inspired metaheuristic optimization in least squares support vector regression for obtaining bridge scour information

High Precision Reducers for Industrial Robots Driving 4th Industrial Revolution: State of Arts, Analysis, Design, Performance Evaluation and Perspective

Machine learning in concrete strength simulations: Multi-nation data analytics

Predicting energy consumption in multiple buildings using machine learning for improving energy efficiency and sustainability

Hybrid artificial intelligence approach based on metaheuristic and machine learning for slope stability assessment: A multinational data analysis

Smart Artificial Firefly Colony Algorithm-Based Support Vector Regression for Enhanced Forecasting in Civil Engineering

Proposing a hybrid metaheuristic optimization algorithm and machine learning model for energy use forecast in non-residential buildings

Rigid Precision Reducers for Machining Industrial Robots

The COVID-19 Pandemic and the Antecedants for the Impulse Buying Behavior of US Citizens

Pool boiling of HFE-7200 on nanoparticle-coating surfaces: Experiments and heat transfer analysis

Predicting Compressive Strength of High-Performance Concrete Using Metaheuristic-Optimized Least Squares Support Vector Regression

An Investigation on Pressure-Specific Volume–Temperature Behaviors of a Thermoplastic Under Industrial Conditions Using a Hot Runner Manifold

Optimizing parameters of support vector machine using fast messy genetic algorithm for dispute classification

Hybrid machine learning for predicting strength of sustainable concrete

Impact Analysis of Tolerance and Contact Friction on a RV Reducer using FE Method

Shear Strength Prediction in Reinforced Concrete Deep Beams Using Nature-Inspired Metaheuristic Support Vector Regression

Electrophoretic deposition surfaces to enhance HFE-7200 pool boiling heat transfer and critical heat flux

Identification of Critical Watershed for Soil Conservation Using Game Theory-Based Approaches

A Study on Kinematics, Dynamics, and Fuzzy Logic Controller Design for Remotely Operated Vehicles

Optimized artificial intelligence models for predicting project award price

Bidding strategy to support decision-making by integrating fuzzy AHP and regression-based simulation

Shear strength prediction of reinforced concrete beams by baseline, ensemble, and hybrid machine learning models

Developing a hybrid time-series artificial intelligence model to forecast energy use in buildings

Critically Leveraging Theory for Optimal Control of Quadrotor Unmanned Aircraft Systems

Forecasting Time-Series Energy Data in Buildings Using an Additive Artificial Intelligence Model for Improving Energy Efficiency

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