بدائل البحث:
method algorithm » mould algorithm (توسيع البحث)
model algorithm » mould algorithm (توسيع البحث)
deer algorithm » search algorithm (توسيع البحث)
data model » data models (توسيع البحث)
based deer » based deep (توسيع البحث)
element » elements (توسيع البحث)
method algorithm » mould algorithm (توسيع البحث)
model algorithm » mould algorithm (توسيع البحث)
deer algorithm » search algorithm (توسيع البحث)
data model » data models (توسيع البحث)
based deer » based deep (توسيع البحث)
element » elements (توسيع البحث)
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181
NEURAL NETWORK MODEL FOR PLANNED REPLACEMENT OF BOEING 737 BRAKES
منشور في 2020"…Three years of data are used for model building and validation. …"
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article -
182
Artificial intelligence models for predicting the mode of delivery in maternal care
منشور في 2025"…</p><h3>Objectives</h3><p dir="ltr">This study aims to evaluate and compare the predictive accuracy of AI algorithms in predicting the mode of delivery (vaginal or cesarean) using routinely collected antepartum data from electronic health records (EHRs). …"
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183
Cyberbullying Detection Model for Arabic Text Using Deep Learning
منشور في 2023"…As a result of the models’ evaluation, a hybrid DL model is proposed that combines the best characteristics of the baseline models CNN, BLSTM and GRU for identifying cyberbullying. …"
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184
Cyberbullying Detection Model for Arabic Text Using Deep Learning
منشور في 2023"…As a result of the models’ evaluation, a hybrid DL model is proposed that combines the best characteristics of the baseline models CNN, BLSTM and GRU for identifying cyberbullying. …"
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185
Iterative Methods for the Solution of a Steady State Biofilter Model
منشور في 2017احصل على النص الكامل
doctoralThesis -
186
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187
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188
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189
A Hybrid Approach for Predicting Critical Machining Conditions in Titanium Alloy Slot Milling Using Feature Selection and Binary Whale Optimization Algorithm
منشور في 2023"…The t-test and the binary whale optimization algorithm (BWOA) were applied to choose the best features and train the support vector machine (SVM) model with validation and training data. …"
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190
Degree-Based Network Anonymization
منشور في 2020"…In this thesis, we study a new multi- objective parameterized anonymization approach that generalizes the known degree anonymization problem and attempts at improving it as a more realistic model for data security/privacy. Our model suggests a convenient privacy level for each net- work based on the standard deviation of its degrees. …"
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masterThesis -
191
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192
Geographical Area Network—Structural Health Monitoring Utility Computing Model
منشور في 2019"…Every gateway is routing the data to SHM-UCM servers running a geo-spatial patch health assessment and prediction algorithm. …"
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193
Modelling Exchange Rates during Currency Crisis using Neural Networks
منشور في 2006"…Exchange rate data from the Lebanese currency crisis period of 1985-1992 is used for training, testing and evaluation of the models. …"
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conferenceObject -
194
Modeling and Bias-Robust Estimation of the Acoustic Release of Chemotherapeutics from Liposomes
منشور في 2019"…The results suggest that the proposed algorithm, the optimal Kalman filter, performs well in modeling acoustically activated drug release from liposomes.…"
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195
Wind, Solar, and Photovoltaic Renewable Energy Systems with and without Energy Storage Optimization: A Survey of Advanced Machine Learning and Deep Learning Techniques
منشور في 2022"…Nowadays, learning-based modeling methods are utilized to build a precise forecast model for renewable power sources. …"
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196
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197
Acoustic Based Localization of Partial Discharge Inside Oil-Filled Transformers
منشور في 2022"…<p dir="ltr">This paper addresses the localization of Partial Discharge through a 3D Finite Element Method analysis of acoustic wave propagation inside a 3-phase 35kV transformer with the help of COMSOL Multiphysics software. …"
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198
A Hybrid Fault Detection and Diagnosis of Grid-Tied PV Systems: Enhanced Random Forest Classifier Using Data Reduction and Interval-Valued Representation
منشور في 2021"…In the proposed FDD approach, named interval reduced kernel PCA (IRKPCA)-based Random Forest (IRKPCA-RF), the feature extraction and selection phase is performed using the IRKPCA models while the fault classification is ensured using the RF algorithm. …"
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199
Identification of errors-in-variables model with observation outliers based on Minimum-Covariance-Determinant
منشور في 2007"…In this paper, we develop a subspace system identification algorithm for the errors-in-variables (EIV) model subject to observation noise with outliers. …"
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200