بدائل البحث:
modelling algorithm » scheduling algorithm (توسيع البحث)
method algorithm » mould algorithm (توسيع البحث)
using algorithm » cosine algorithm (توسيع البحث)
element » elements (توسيع البحث)
modelling algorithm » scheduling algorithm (توسيع البحث)
method algorithm » mould algorithm (توسيع البحث)
using algorithm » cosine algorithm (توسيع البحث)
element » elements (توسيع البحث)
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81
Data-driven robust model predictive control for greenhouse temperature control and energy utilisation assessment
منشور في 2023"…A robust model predictive control strategy, based on the minimax objective function and particle swarm optimisation algorithm, is developed to handle the uncertainties in the system. …"
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82
Large language models for code completion: A systematic literature review
منشور في 2024"…Different techniques can achieve code completion, and recent research has focused on Deep Learning methods, particularly Large Language Models (LLMs) utilizing Transformer algorithms. While several research papers have focused on the use of LLMs for code completion, these studies are fragmented, and there is no systematic overview of the use of LLMs for code completion. …"
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83
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84
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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85
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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احصل على النص الكامل
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86
Autopilot Design and Commercial Autopilot Evaluation Using Flybarless Helicopter
منشور في 2014احصل على النص الكامل
doctoralThesis -
87
Predictive modelling in times of public health emergencies: patients’ non-transport decisions during the COVID-19 pandemic
منشور في 2025"…</p><h3>Methods</h3><p dir="ltr">Using Python® programming language, this study employed various supervised machine-learning algorithms, including parametric probabilistic models, such as logistic regression, and non-parametric models, including decision trees, random forest (RF), extra trees, AdaBoost, and k-nearest neighbours (KNN), using a dataset of non-transported patients (refused transport and did not receive treatment versus those who refused transport and received treatment) between 2018 and 2022. …"
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88
Multi-Objective Optimisation of Injection Moulding Process for Dashboard Using Genetic Algorithm and Type-2 Fuzzy Neural Network
منشور في 2024"…Computational techniques, like the finite element method, are used to analyse behaviours based on varied input parameters. …"
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89
Eye-Clustering: An Enhanced Centroids Prediction for K-means Algorithm
منشور في 2024"…Hundreds of such labeled graphs were used to train the model to predict the location of centroids. …"
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احصل على النص الكامل
احصل على النص الكامل
masterThesis -
90
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91
Parallel physical optimization algorithms for allocating data to multicomputer nodes
منشور في 1994"…Three parallel physical optimization algorithms for allocating irregular data to multicomputer nodes are presented. …"
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احصل على النص الكامل
article -
92
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93
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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احصل على النص الكامل
احصل على النص الكامل
masterThesis -
94
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95
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96
Modelling of pollutant transport in compound open channels
منشور في 1998"…The numerical computation of open-channel flows requires preparing and processing larger volumes of boundary and bathymetry data for computer inputs and the development of numerical algorithms for treating complex boundary condition, channel properties, and free surface effects. …"
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احصل على النص الكامل
masterThesis -
97
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98
Federated Transfer Learning for Authentication and Privacy Preservation Using Novel Supportive Twin Delayed DDPG (S-TD3) Algorithm for IIoT
منشور في 2021"…This paper proposes an Federated Transfer Learning for Authentication and Privacy Preservation Using Novel Supportive Twin Delayed DDPG (S-TD3) Algorithm for IIoT. …"
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99
A novel IoT intrusion detection framework using Decisive Red Fox optimization and descriptive back propagated radial basis function models
منشور في 2024"…Moreover, the DBRF classification model is deployed to categorize the normal and attacking data flows using optimized features. …"
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100
Distributed Tree-Based Machine Learning for Short-Term Load Forecasting With Apache Spark
منشور في 2021"…The paper proposes a concurrent job scheduling algorithm in a multi-energy data source environment using Apache Spark. …"