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Forward Forecast of Stock Price Using Sliding-Window Metaheuristic-Optimized Machine-Learning Regression

IEEE transactions on industrial informatics, 2018-07, Vol.14 (7), p.3132-3142

2018

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Recent advances in use of bio-inspired jellyfish search algorithm for solving optimization problems

Scientific reports, 2022-11, Vol.12 (1), p.19157-19157, Article 19157

2022

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A modified firefly algorithm-artificial neural network expert system for predicting compressive and tensile strength of high-performance concrete

Construction & building materials, 2018-08, Vol.180, p.320-333

2018

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Time series analytics using sliding window metaheuristic optimization-based machine learning system for identifying building energy consumption patterns

Applied energy, 2016-09, Vol.177, p.751-770

2016

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Multistep energy consumption forecasting by metaheuristic optimization of time‐series analysis and machine learning

International journal of energy research, 2021-03, Vol.45 (3), p.4581-4612

2021

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Real-time detection of anomalous power consumption

Renewable & sustainable energy reviews, 2014-05, Vol.33, p.400-411

2014

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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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The use of artificial intelligence combiners for modeling steel pitting risk and corrosion rate

Engineering applications of artificial intelligence, 2017-10, Vol.65, p.471-483

2017

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Modified firefly algorithm for multidimensional optimization in structural design problems

Structural and multidisciplinary optimization, 2017-06, Vol.55 (6), p.2013-2028

2017

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Automated Sensing System for Real-Time Recognition of Trucks in River Dredging Areas Using Computer Vision and Convolutional Deep Learning

Sensors (Basel, Switzerland), 2021-01, Vol.21 (2), p.555

2021

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Automated prediction system of household energy consumption in cities using web crawler and optimized artificial intelligence

International journal of energy research, 2022-01, Vol.46 (1), p.319-339

2022

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Smart grid data analytics framework for increasing energy savings in residential buildings

Automation in construction, 2016-12, Vol.72, p.247-257

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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Forecasting Regional Energy Consumption via Jellyfish Search-Optimized Convolutional-Based Deep Learning

International journal of energy research, 2023-07, Vol.2023, p.1-25

2023

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Optimizing the Prediction Accuracy of Concrete Compressive Strength Based on a Comparison of Data-Mining Techniques

Journal of computing in civil engineering, 2011-05, Vol.25 (3), p.242-253

2011

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Collapse mechanism and risk management of wind turbine tower in strong wind

Journal of wind engineering and industrial aerodynamics, 2019-10, Vol.193, p.103962, Article 103962

2019

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Integrating a novel multiple-objective FBI with BIM to determine tradeoff among resources in project scheduling

Knowledge-based systems, 2022-01, Vol.235, p.107640, Article 107640

2022

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A novel metaheuristic optimizer inspired by behavior of jellyfish in ocean

Applied mathematics and computation, 2021-01, Vol.389, p.125535, Article 125535

2021

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Metaheuristics‐optimized ensemble system for predicting mechanical strength of reinforced concrete materials

Structural control and health monitoring, 2021-05, Vol.28 (5), p.n/a

2021

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Identifying deflections of reinforced concrete beams under seismic loads by bio‐inspired optimization of deep residual learning

Structural control and health monitoring, 2022-04, Vol.29 (4), p.n/a

2022

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Concrete compressive strength analysis using a combined classification and regression technique

Automation in construction, 2012-07, Vol.24, p.52-60

2012

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Metaheuristics‐optimized deep learning to predict generation of sustainable energy from rooftop plant microbial fuel cells

International journal of energy research, 2022-12, Vol.46 (15), p.21001-21027

2022

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Cross-country comparisons of key drivers, critical success factors and risk allocation for public-private partnership projects

International journal of project management, 2015-07, Vol.33 (5), p.1136-1150

2015

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INTEGRATING ENHANCED OPTIMIZATION WITH FINITE ELEMENT ANALYSIS FOR DESIGNING STEEL STRUCTURE WEIGHT UNDER MULTIPLE CONSTRAINTS

Journal of civil engineering and management, 2023-08, Vol.29 (8), p.757-786

2023

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Jellyfish Search-Optimized Deep Learning for Compressive Strength Prediction in Images of Ready-Mixed Concrete

Computational intelligence and neuroscience, 2022-08, Vol.2022, p.1-26

2022

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Forward Forecast of Stock Price Using Sliding-Window Metaheuristic-Optimized Machine-Learning Regression

Recent advances in use of bio-inspired jellyfish search algorithm for solving optimization problems

A modified firefly algorithm-artificial neural network expert system for predicting compressive and tensile strength of high-performance concrete

Time series analytics using sliding window metaheuristic optimization-based machine learning system for identifying building energy consumption patterns

Multistep energy consumption forecasting by metaheuristic optimization of time‐series analysis and machine learning

Real-time detection of anomalous power consumption

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

The use of artificial intelligence combiners for modeling steel pitting risk and corrosion rate

Modified firefly algorithm for multidimensional optimization in structural design problems

Automated Sensing System for Real-Time Recognition of Trucks in River Dredging Areas Using Computer Vision and Convolutional Deep Learning

Automated prediction system of household energy consumption in cities using web crawler and optimized artificial intelligence

Smart grid data analytics framework for increasing energy savings in residential buildings

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

Forecasting Regional Energy Consumption via Jellyfish Search-Optimized Convolutional-Based Deep Learning

Optimizing the Prediction Accuracy of Concrete Compressive Strength Based on a Comparison of Data-Mining Techniques

Collapse mechanism and risk management of wind turbine tower in strong wind

Integrating a novel multiple-objective FBI with BIM to determine tradeoff among resources in project scheduling

A novel metaheuristic optimizer inspired by behavior of jellyfish in ocean

Metaheuristics‐optimized ensemble system for predicting mechanical strength of reinforced concrete materials

Identifying deflections of reinforced concrete beams under seismic loads by bio‐inspired optimization of deep residual learning

Concrete compressive strength analysis using a combined classification and regression technique

Metaheuristics‐optimized deep learning to predict generation of sustainable energy from rooftop plant microbial fuel cells

Cross-country comparisons of key drivers, critical success factors and risk allocation for public-private partnership projects

INTEGRATING ENHANCED OPTIMIZATION WITH FINITE ELEMENT ANALYSIS FOR DESIGNING STEEL STRUCTURE WEIGHT UNDER MULTIPLE CONSTRAINTS

Jellyfish Search-Optimized Deep Learning for Compressive Strength Prediction in Images of Ready-Mixed Concrete

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