Optimizing Intelligent Agent Performance in E-Learning Environment [PDF]
Port Said Engineering Research Journal, 2018 The main objective of e-learning systems is to improve the student- learning performance and satisfaction. This can be achieved by providing a personalized learning experience that identifies and satisfies the individual learner's requirements and ...
Mariam Al-Tarabily +3 more
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Evaluation of PSO-BiLSTM method for stock price forecasting using stock price time series data (Case study: Iran Stock Exchange and OTC stock) [PDF]
راهبرد مدیریت مالی, 2022 In recent years, with the increase in the penetration rate of the capital market, more people have invested in the stock market. Predicting the stock prices accurately with the least error can reduce investment risk and increase investment return. Due to
Jalil Vaziri Kordestani +3 more
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Identification of Potential Maintainer and Restorer Lines Using Testcross Hybrids
Turkish Journal of Agriculture: Food Science and Technology, 2018 Five CMS lines were crossed with 49 genotypes as ‘testers’ to get 245 hybrids. The 245 hybrids were subjected to pollen and spikelet fertility analysis. Among the 245 hybrids 21 hybrids were expressed as restorers, 24 as maintainers, and 200 intermediate
Mohammad Amir Hossain +3 more
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Reliability optimization using hybrid genetic and particle swarm optimization algorithm [PDF]
Yugoslav Journal of Operations Research, 2022 Redundancy-allocation problem i.e. RAP is among the reliability optimization problems which make use of non-linear programming method to improve the reliability of complex system.
Dahiya Tripti, Garg Deepika
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Rapid Exothermic Adsorption of Congo Red Dye on (Ni0.25Cu0.25Zn0.50) Fe2O4 Nano Composites; Investigating Operating Parameters by Response Surface Methodology [PDF]
Iranian Journal of Chemistry & Chemical EngineeringIn the present study, (Ni0.25Cu0.25Zn0.5) Fe2O4 nanocomposites were synthesized through a co-precipitation method. They were characterized by Fourier-Transform InfraRed (FT-IR) spectroscopy, Scanning Electron Microscope (SEM), X-Ray Diffraction (XRD ...
Hajira Tahir +3 more
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Crack prediction in beam-like structure using ANN based on frequency analysis
Fracture and Structural Integrity, 2022 The dynamic experimental and numerical analysis of cracked beams has been studied with the aim of quantifying the influence of depth crack on the dynamic response of steel beams. Artificial Neural Method ANN has been used where a numerical simulation was
Seguini Meriem +4 more
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Journal of Hydroinformatics, 2021 River water quality assessment, affected by pollution load, and river regime changes in various climate conditions, is an implementation that simplifies water resources management, and justifies terms for increases or decreases in human activities.
Saman Ebrahimi, Mahdis Khorram
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Hybrid Machine Learning in Hydrological Runoff Forecasting: An Exploration of Extreme Gradient-Boosting and Categorical Gradient Boosting Optimization in the Russian River Basin [PDF]
Advances in Engineering and Intelligence SystemsAccurate and reliable runoff forecasts are essential for effective water resource management and flood control operations. Hydrological forecasting plays a key role in decision-making, especially under changing climate conditions.
Reza Seifi Majdar +2 more
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Optimal Placement Identification of Multiple DG Types Using Optimization Technique [PDF]
E3S Web of Conferences, 2023 In this paper, a combination algorithm called GAIPSO, which combines GA and a better version of the classic particle swarm optimization process, is used.
S. Mounika +2 more
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LQR/Sliding Mode Controller Design Using Particle Swarm Optimization for Crane System
مجلة النهرين للعلوم الهندسية, 2020 In this work, the design procedure of a hybrid robust controller for crane system is presented. The proposed hybrid controller combines the linear quadratic regulator (LQR) properties with the sliding mode control (SMC) to obtain an optimal and robust ...
Hazem Ali +3 more
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