A Novel Hybrid Genetic-Whale Optimization Model for Ontology Learning from Arabic Text حسب M. Ghoniem , Rania

"…Ontologies are used to model knowledge in several domains of interest, such as the biomedical domain. …"
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A genetic-based algorithm for fuzzy unit commitment model حسب Mantawy, A.H.

"…The genetic algorithm (GA) approach is then used to solve the proposed fuzzy UCP model. …"
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Cluster-based anonymity model and algorithm for 1:1 dataset with a single sensitive attribute using machine learning technique حسب J. Jayapradha (21323774)

Optimization of Piezoelectric Sensor-Actuator for Plate Vibration Control Using Evolutionary Computation: Modeling, Simulation and Experimentation حسب Asan G. A. Muthalif (16888818)

"…Both disturbance and control signal acting on the plate is created by using piezoelectric (PZT) patches. The analytical model is derived based on the Euler-Bernoulli model. …"

Multimodal EEG and Keystroke Dynamics Based Biometric System Using Machine Learning Algorithms حسب Arafat Rahman (8065562)

Capturing outline of fonts using genetic algorithm and splines حسب Sarfraz, M.

"…The chromosomes have been constructed by considering the candidates of the locations of knots as genes. The best model among the candidates is searched by using the Akaike Information Criterion (AIC). …"
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Brain Source Localization in the Presence of Leadfield Perturbations حسب Momin, Rabiya Nakhat

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Estimation of the methanol loss in the gas hydrate prevention unit using the artificial neural networks: Investigating the effect of training algorithm on the model accuracy حسب Haitao Xu (435549)

"…Adjusting the weight and bias of the ANN model using an optimization algorithm is known as the training process. …"

Nonlinear model predictive control of Hammerstein and Wiener modelsusing genetic algorithms حسب Al-Duwaish, H.

"…In this paper a novel approach for the implementation of nonlinear MPC is proposed using genetic algorithms (GAs). The proposed method formulates the MPC as an optimization problem and genetic algorithms are used in the optimization process. …"
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An Ultrafast Maximum Power Point Setting Scheme for Photovoltaic Arrays Using Model Parameter Identification حسب Zhaohui Cen (17217391)

On Higher-Order Iterative Learning Control Algorithm in Presence of Measurement Noise حسب Saab, Samer S.

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A machine learning model for early detection of diabetic foot using thermogram images حسب Amith Khandakar (14151981)

"…A comparatively shallow CNN model, MobilenetV2 achieved an F1 score of ∼95% for a two-feet thermogram image-based classification and the AdaBoost Classifier used 10 features and achieved an F1 score of 97%. …"

A method for the minimum coloring problem using genetic algorithms حسب Harmanani, Haidar

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Economic load dispatch using memetic sine cosine algorithm حسب Abu Zitar, Raed

"…In this paper, the economic load dispatch (ELD) problem which is an important problem in electrical engineering is tackled using a hybrid sine cosine algorithm (SCA) in a form of memetic technique. …"
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Time-varying volatility model equipped with regime switching factor: valuation of option price written on energy futures حسب Leduc, Guillaume

"…This paper explores the calculation of European option prices on energy futures using a time-varying volatility model enhanced by a regime switching factor. …"
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Integrated economic and environmental models for a multi stage cold supply chain under carbon tax regulation حسب Hariga, Moncer

"…The structural properties for the optimal solution of the three models are identified and solution algorithms are also proposed. …"
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Modeling and Control of a Thermally Driven MEMS Actuator for RF Applications حسب Estahbanati, Shahabeddin Vamegh

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Evaluation of Aerosol Optical Depth and Aerosol Models from VIIRS Retrieval Algorithms over North China Plain حسب Jun Zhu (84054)

"…The aerosol model used in VIIRS_EDR algorithm shows that dust and clean urban models were the dominant model types during the evaluation period. …"

Estimating Construction Project Duration Using a Machine Learning Algorithm حسب Nasr, Joshua

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Using Machine Learning Algorithms to Forecast Solar Energy Power Output حسب Ali Jassim Lari (22597940)

"…The data forecasting horizon used was a 24-h window in steps of 30 min. We focused on the first 30-min, 3-h, 6-h, 12-h, and 24-h windows to gain an appreciation of the impact of forecasting duration on the accuracy of prediction using the selected machine learning algorithms. …"