بدائل البحث:
research algorithm » search algorithm (توسيع البحث)
method algorithm » mould algorithm (توسيع البحث)
using algorithm » cosine algorithm (توسيع البحث)
research algorithm » search algorithm (توسيع البحث)
method algorithm » mould algorithm (توسيع البحث)
using algorithm » cosine algorithm (توسيع البحث)
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121
A New Genetic-Based Tabu Search Algorithm For Unit Commitment Problem
منشور في 2020"…This paper presents a new algorithm based on integrating the use of genetic algorithms and tabu search methods to solve the unit commitment problem. …"
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article -
122
Customs Trade Facilitation and Compliance for Ecommerce using Blockchain and Data Mining
منشور في 2021"…Additionally, the Cross Industry Standard Process for Data Mining (CRISP-DM) methodology is employed for modelling the two proposed clustering algorithms to identify transactional risks. …"
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123
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124
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125
Forecasting the nearly unforecastable: why aren’t airline bookings adhering to the prediction algorithm?
منشور في 2021"…The resulting model achieves an 89% predictive accuracy using historical data. A unique aspect of the model is the incorporation of self-competence, where the model defers when it cannot reasonably make a recommendation. …"
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126
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 -
127
AI and IoT-based concrete column base cover localization and degradation detection algorithm using deep learning techniques
منشور في 2023"…This paper proposes a novel automated algorithm for the health monitoring of concrete column base cover degradation based on IoT and the state-of-the-art deep learning framework, Convolutional Neural Network (CNN). …"
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128
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129
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130
Exploring Sentiment Analysis using Different Machine Learning Algorithms on Dialectal Arabic
منشور في 2021"…Therefore, big data analytics field emerged to tame the generated big data, and use it to provide useful insights to the world. …"
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131
Predictive Model of Psychoactive Drugs Consumption using Classification Machine Learning Algorithms
منشور في 2023"…Our study aimed to use data mining classification techniques, in order to classify the individual into two categories: user or non-user. …"
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132
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133
The Relation Between Respiratory & Acute Coronary Syndrome Using Data Mining Techniques
منشور في 2018"…The purpose of this study is to diagnose acute coronary syndrome using the widely available respiratory diagnosing tools and laboratory test results using data mining classification techniques (Decision tree, Gradient boosted tree, Neural Network, and Naïve Bias). …"
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134
Data-Driven Electricity Demand Modeling for Electric Vehicles Using Machine Learning
منشور في 2024احصل على النص الكامل
doctoralThesis -
135
Incorporation of Robust Sliding Mode Control and Adaptive Multi-Layer Neural Network-Based Observer for Unmanned Aerial Vehicles
منشور في 2024"…<p dir="ltr">The control and state estimation of Unmanned Aerial Vehicles (UAVs) provide significant challenges due to their complex and nonlinear dynamics, as well as uncertainties arising from factors such as sensor noise, wind gusts, and parameter fluctuations. Neural network-based methods tackle these problems by accurately approximating unknown nonlinearities through training on input-output data. …"
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136
Scatter search for protein structure prediction. (c2008)
منشور في 2008احصل على النص الكامل
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masterThesis -
137
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138
Real-Time Selective Harmonic Mitigation Technique for Power Converters Based on the Exchange Market Algorithm
منشور في 2020"…The performance of the EMA-based SHM is presented showing experimental results considering a reduced number of switching angles applied to a specific three-level converter, but the method can be extrapolated to any other three-level converter topology.…"
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139
Sample intelligence-based progressive hedging algorithms for the stochastic capacitated reliable facility location problem
منشور في 2024"…To manage uncertainty and decide effectively, stochastic programming (SP) methods are often employed. Two commonly used SP methods are approximation methods, i.e., Sample Average Approximation (SAA), and decomposition methods, i.e., Progressive Hedging Algorithm (PHA). …"
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140
A Fast and Robust Gas Recognition Algorithm Based on Hybrid Convolutional and Recurrent Neural Network
منشور في 2019"…In order to address this issue, in this paper, we propose a novel hybrid approach with both convolutional and recurrent neural networks combined, which is based on the long short-term memory module. Featuring the capability of learning the correlations of time-series data, the proposed deep learning method is well-suited for extracting the valuable transient feature contained in the very beginning of the response curve. …"