بدائل البحث:
modeling algorithm » scheduling algorithm (توسيع البحث)
mean algorithm » deer algorithm (توسيع البحث), search algorithm (توسيع البحث)
data modeling » data models (توسيع البحث), spatial modeling (توسيع البحث)
modeling algorithm » scheduling algorithm (توسيع البحث)
mean algorithm » deer algorithm (توسيع البحث), search algorithm (توسيع البحث)
data modeling » data models (توسيع البحث), spatial modeling (توسيع البحث)
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101
Development of Machine Learning Models for Studying the Premixed Turbulent Combustion of Gas-To-Liquids (GTL) Fuel Blends
منشور في 2024"…<p dir="ltr">Studying the spatial and temporal evolution in turbulent flames represents one of the most challenging problems in the combustion community. Based on previous 3D numerical analyses, this study aims to develop data-driven machine learning (ML) models for predicting the flame radius evolution and turbulent flame speeds for diesel, gas-to-liquids (GTL), and their 50/50 blend (by volumetric composition) under different thermodynamic and turbulence operating conditions. …"
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102
Real-Time Performance Evaluation of a Genetic Algorithm Based Fuzzy Logic Controller for IPM Motor Drives
منشور في 2005"…The proposed GFLC is developed to have less computational burden, which makes it suitable for real-time implementation. …"
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article -
103
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104
Identification of errors-in-variables model with observation outliers based on Minimum-Covariance-Determinant
منشور في 2007"…The proposed algorithm has been applied to a heat exchanger data.…"
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احصل على النص الكامل
article -
105
Prediction of EV Charging Behavior Using Machine Learning
منشور في 2021"…Using data-driven tools and machine learning algorithms to learn the EV charging behavior can improve scheduling algorithms. …"
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article -
106
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107
Label dependency modeling in Multi-Label Naïve Bayes through input space expansion
منشور في 2024"…To accommodate the heterogeneity of the expanded input space, we refine the likelihood parameters of iMLNB using a joint density function, which is adept at handling the amalgamation of data types. We subject our enhanced iMLNB model to a rigorous empirical evaluation, utilizing six benchmark datasets. …"
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108
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109
AI-based remaining useful life prediction and modelling of seawater desalination membranes
منشور في 2024احصل على النص الكامل
doctoralThesis -
110
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111
Information reconciliation through agent controlled graph model. (c2018)
منشور في 2018"…Multiple models have been proposed and different techniques and data structures were used. …"
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masterThesis -
112
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113
Process Targeting Of Multi-Characteristic Product Using Fuzzy Logic And Genetic Algorithm With An Interval Based Taguchi Cost Function
منشور في 2020"…In this paper, a fuzzy based process targeting model is developed for a product with multi-characteristic. …"
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article -
114
Process Targeting Of Multi-Characteristic Product Using Fuzzy Logic And Genetic Algorithm With An Interval Based Taguchi Cost Function
منشور في 2020"…In this paper, a fuzzy based process targeting model is developed for a product with multi-characteristic. …"
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article -
115
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116
High-Accurate Parameter Identification of PEMFC Using Advanced Multi-Trial Vector-Based Sine Cosine Meta-Heuristic Algorithm
منشور في 2025"…The trigonometric function-based sine cosine algorithm (SCA) may solve such problems, but it traps in local optima, making it inappropriate for larger optimization tasks. …"
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117
A depth-controlled and energy-efficient routing protocol for underwater wireless sensor networks
منشور في 2022"…The proposed energy-efficient routing protocol is based on an enhanced genetic algorithm and data fusion technique. In the proposed energy-efficient routing protocol, an existing genetic algorithm is enhanced by adding an encoding strategy, a crossover procedure, and an improved mutation operation that helps determine the nodes. …"
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118
Cortical EEG Source Localization of Focal Epilepsy
منشور في 2017احصل على النص الكامل
doctoralThesis -
119
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120
Performance of artificial intelligence models in estimating blood glucose level among diabetic patients using non-invasive wearable device data
منشور في 2023"…Our experimental design included Data Collection, Feature Engineering, ML model selection/development, and reporting evaluation of metrics.…"