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Modified osprey algorithm for optimizing capsule neural network in leukemia image recognition

Scientific reports, 2024-07, Vol.14 (1), p.15402-17, Article 15402

2024

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Computer simulation for parametric study of concrete system: Introducing novel reinforcement for concrete construction materials

Mechanics of advanced materials and structures, 2024-03, p.1-18

2024

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Application of the optimized deep networks in the prediction of the coupled thermoelasticity response of the axially graded composite system subjected to thermal shock loading

Mechanics of advanced materials and structures, 2023-10, p.1-19

2023

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Investing in Wind Energy Using Bi-Level Linear Fractional Programming

Energies (Basel), 2023-07, Vol.16 (13), p.4952

2023

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A Bilevel Stochastic Optimization Framework for Market-Oriented Transmission Expansion Planning Considering Market Power

Energies (Basel), 2023-04, Vol.16 (7), p.3256

2023

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A multi-objective model for optimizing the socio-economic performance of a pharmaceutical supply chain

Socio-economic planning sciences, 2022-02, Vol.79, p.101126, Article 101126

2022

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Application of multi-optimizer neural network in predicting the time-variant response of the dynamic systems

Mechanics based design of structures and machines, 2024-04, Vol.52 (4), p.2354-2385

2024

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An effective distributed approach based machine learning for energy negotiation in networked microgrids

Energy strategy reviews, 2021-11, Vol.38, p.100760, Article 100760

2021

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Airport terminal building capacity evaluation using queuing system

Alexandria engineering journal, 2022-12, Vol.61 (12), p.10109-10118

2022

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An efficient algorithm for data parallelism based on stochastic optimization

Alexandria engineering journal, 2022-12, Vol.61 (12), p.12005-12017

2022

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A Hybrid Stochastic/Robust Model for Transmission Expansion Planning under an Ellipsoidal Uncertainty Set

Electric power components and systems, 2022-11, Vol.50 (19-20), p.1174-1185

2022

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Optimization of a real municipal sewage treatment plant using CRFSMA algorithm and a mathematical model

Heliyon, 2024-08, Vol.10 (15), p.e34785, Article e34785

2024

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An Optimal Scheduling Method in IoT-Fog-Cloud Network Using Combination of Aquila Optimizer and African Vultures Optimization

Processes, 2023-04, Vol.11 (4), p.1162

2023

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Decision Sciences for COVID-19: Learning Through Case Studies

1, 2022

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Strategic generation expansion planning considering prohibited operating zones: a game-theoretic analysis

Electrical engineering, 2023-06, Vol.105 (3), p.1747-1760

2023

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WebGIS-Based Real-Time Surveillance and Response System for Vector-Borne Infectious Diseases

International journal of environmental research and public health, 2023-02, Vol.20 (4), p.3740

2023

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Camouflage Object Segmentation Using an Optimized Deep-Learning Approach

Mathematics (Basel), 2022-11, Vol.10 (22), p.4219

2022

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Binned Term Count: An Alternative to Term Frequency for Text Categorization

Mathematics (Basel), 2022-11, Vol.10 (21), p.4124

2022

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Feature engineering of environmental covariates improves plant genomic-enabled prediction

Frontiers in plant science, 2024-05, Vol.15, p.1349569-1349569

2024

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Optimum Scheduling the Electric Distribution Substations with a Case Study: An Integer Gaining-Sharing Knowledge-Based Metaheuristic Algorithm

Complexity (New York, N.Y.), 2020, Vol.2020 (2020), p.1-13

2020

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Stochastic Travelling Advisor Problem Simulation with a Case Study: A Novel Binary Gaining-Sharing Knowledge-Based Optimization Algorithm

Complexity (New York, N.Y.), 2020, Vol.2020 (2020), p.1-15

2020

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Stochastic Review Inventory Systems with Deteriorating Items; A Steady-State Non-Linear Approach

Processes, 2022-04, Vol.10 (4), p.781

2022

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Queuing Models for Analyzing the Steady-State Distribution of Stochastic Inventory Systems with Random Lead Time and Impatient Customers

Processes, 2022-04, Vol.10 (4), p.624

2022

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A Demand Side Management Control Strategy Using RUNge Kutta Optimizer (RUN)

Axioms, 2022-10, Vol.11 (10), p.538

2022

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R-Codesign: Codesign Methodology for Real-Time Reconfigurable Embedded Systems Under Energy Constraints

IEEE access, 2018-01, Vol.6, p.14078-14092

2018

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Modified osprey algorithm for optimizing capsule neural network in leukemia image recognition

Computer simulation for parametric study of concrete system: Introducing novel reinforcement for concrete construction materials

Application of the optimized deep networks in the prediction of the coupled thermoelasticity response of the axially graded composite system subjected to thermal shock loading

Investing in Wind Energy Using Bi-Level Linear Fractional Programming

A Bilevel Stochastic Optimization Framework for Market-Oriented Transmission Expansion Planning Considering Market Power

A multi-objective model for optimizing the socio-economic performance of a pharmaceutical supply chain

Application of multi-optimizer neural network in predicting the time-variant response of the dynamic systems

An effective distributed approach based machine learning for energy negotiation in networked microgrids

Airport terminal building capacity evaluation using queuing system

An efficient algorithm for data parallelism based on stochastic optimization

A Hybrid Stochastic/Robust Model for Transmission Expansion Planning under an Ellipsoidal Uncertainty Set

Optimization of a real municipal sewage treatment plant using CRFSMA algorithm and a mathematical model

An Optimal Scheduling Method in IoT-Fog-Cloud Network Using Combination of Aquila Optimizer and African Vultures Optimization

Decision Sciences for COVID-19: Learning Through Case Studies

Strategic generation expansion planning considering prohibited operating zones: a game-theoretic analysis

WebGIS-Based Real-Time Surveillance and Response System for Vector-Borne Infectious Diseases

Camouflage Object Segmentation Using an Optimized Deep-Learning Approach

Binned Term Count: An Alternative to Term Frequency for Text Categorization

Feature engineering of environmental covariates improves plant genomic-enabled prediction

Optimum Scheduling the Electric Distribution Substations with a Case Study: An Integer Gaining-Sharing Knowledge-Based Metaheuristic Algorithm

Stochastic Travelling Advisor Problem Simulation with a Case Study: A Novel Binary Gaining-Sharing Knowledge-Based Optimization Algorithm

Stochastic Review Inventory Systems with Deteriorating Items; A Steady-State Non-Linear Approach

Queuing Models for Analyzing the Steady-State Distribution of Stochastic Inventory Systems with Random Lead Time and Impatient Customers

A Demand Side Management Control Strategy Using RUNge Kutta Optimizer (RUN)

R-Codesign: Codesign Methodology for Real-Time Reconfigurable Embedded Systems Under Energy Constraints

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