بدائل البحث:
modelling algorithm » scheduling algorithm (توسيع البحث)
method algorithm » mould algorithm (توسيع البحث)
using algorithm » cosine algorithm (توسيع البحث)
trained using » brines using (توسيع البحث)
element » elements (توسيع البحث)
modelling algorithm » scheduling algorithm (توسيع البحث)
method algorithm » mould algorithm (توسيع البحث)
using algorithm » cosine algorithm (توسيع البحث)
trained using » brines using (توسيع البحث)
element » elements (توسيع البحث)
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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
منشور في 2023"…Adjusting the weight and bias of the ANN model using an optimization algorithm is known as the training process. …"
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Using genetic algorithms to optimize software quality estimation models
منشور في 2004"…In the first approach, we assume the existence of several models, and we use a genetic algorithm to combine them, and adapt them to a given data set. …"
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احصل على النص الكامل
masterThesis -
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Multimodal EEG and Keystroke Dynamics Based Biometric System Using Machine Learning Algorithms
منشور في 2021"…Different classifiers were trained, validated, and tested for two different classification experiments - personalized and generalized. …"
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An Effective Hybrid NARX-LSTM Model for Point and Interval PV Power Forecasting
منشور في 2021الموضوعات: -
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A Hybrid Intrusion Detection Model Using EGA-PSO and Improved Random Forest Method
منشور في 2022"…To deal with the data-imbalance issue, this research develops an efficient hybrid network-based IDS model (HNIDS), which is utilized using the enhanced genetic algorithm and particle swarm optimization(EGA-PSO) and improved random forest (IRF) methods. …"
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Bird’s Eye View feature selection for high-dimensional data
منشور في 2023"…However, high dimensional data often contains irrelevant features, outliers, and noise, which can negatively impact model performance and consume computational resources. …"
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Metaheuristic Optimization Algorithms for Training Artificial Neural Networks
منشور في 2012"…A few metaheuristic optimization techniques have been applied to increase the effectiveness of the training process. The Cuckoo Search (CS) algorithm is a recently developed meta-heuristic optimization algorithm which is suitable for solving optimization problems. …"
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Predicting Patient ICU Readmission Using Recurrent Neural Networks With Long Short-Term Memory
منشور في 2025الموضوعات: -
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Development of an Optimization Algorithm for Internet Data Traffic
منشور في 2020"…In this paper, an optimization algorithm is proposed to reduce net data traffic, which works at Internet layer in the TCP/IP reference model. …"
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Efficient Approximate Conformance Checking Using Trie Data Structures
منشور في 2021الموضوعات: "…Estimation error,Runtime,Computational modeling,Data structures,Approximation algorithms,Encoding,Computational efficiency…"
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احصل على النص الكامل
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Data of simulation model for photovoltaic system's maximum power point tracking using sequential Monte Carlo algorithm
منشور في 2024"…This article outlines the input data and partial shading conditions employed in the replication model of Sequential Monte Carlo (SMC)-based tracking techniques for photovoltaic (PV) systems. …"
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احصل على النص الكامل
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Data-Driven Electricity Demand Modeling for Electric Vehicles Using Machine Learning
منشور في 2024احصل على النص الكامل
doctoralThesis -
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A Tabu Search algorithm for mapping data to multicomputers. (c1997)
منشور في 1997احصل على النص الكامل
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masterThesis -
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Classifying Maqams of Qur'anic Recitations Using Deep Learning
منشور في 2021"…An accuracy of 95.7% on the test set is obtained using a 5-layer deep ANN which was trained using 26 input features. …"
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article -
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A neural networks algorithm for data path synthesis
منشور في 2003"…This paper presents a deterministic parallel algorithm to solve the data path allocation problem in high-level synthesis. …"
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احصل على النص الكامل
احصل على النص الكامل
article