بدائل البحث:
method algorithm » mould algorithm (توسيع البحث)
mining algorithm » cosine algorithm (توسيع البحث)
model algorithm » mould algorithm (توسيع البحث)
data model » data models (توسيع البحث)
method algorithm » mould algorithm (توسيع البحث)
mining algorithm » cosine algorithm (توسيع البحث)
model algorithm » mould algorithm (توسيع البحث)
data model » data models (توسيع البحث)
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121
Evolutionary algorithm for predicting all-atom protein structure
منشور في 2011"…We present an improved version of a scatter search (SS) algorithm for predicting all-atoms protein structures using a recent energy model. …"
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conferenceObject -
122
Capturing outline of fonts using genetic algorithm and splines
منشور في 2001"…In order to obtain a good spline model from large measurement data, we frequently have to deal with knots as variables, which becomes a continuous, non-linear and multivariate optimization problem with many local optima. …"
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article -
123
Intelligent Rapidly-Exploring Random Tree Star Algorithm
منشور في 2024احصل على النص الكامل
doctoralThesis -
124
Application of Data Mining to Predict and Diagnose Diabetic Retinopathy
منشور في 2024احصل على النص الكامل
doctoralThesis -
125
The effects of data balancing approaches: A case study
منشور في 2023"…In this research, classification algorithms, combined with resampling strategies and dimensionality reduction methods, were investigated to find a prediction model to correctly identify the samples of treated animals. …"
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126
Convergence of Photovoltaic Power Forecasting and Deep Learning: State-of-Art Review
منشور في 2021"…With the massive smart meter integration, DL takes advantage of the large-scale and multi-source data representations to achieve a spectacular performance and high PV forecastability potential compared to classical models. …"
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127
Data redundancy management for leaf-edges in connected environments
منشور في 2022"…Major advances in the fields of Internet and Communication Technology (ICT), data modeling/processing, and sensing technology have rendered traditional environments (e.g., cities, buildings) more connected. …"
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article -
128
Simultaneous analysis of frequency and voltage control of the interconnected hybrid power system in presence of FACTS devices and demand response scheme
منشور في 2021"…System responses have been critically analyzed under Mine Blast Algorithm (MBA) based proportional–integral–derivative (PID) controllers</p><h2>Other Information</h2><p dir="ltr">Published in: Energy Reports<br>License: <a href="http://creativecommons.org/licenses/by/4.0/" target="_blank">http://creativecommons.org/licenses/by/4.0/</a><br>See article on publisher's website: <a href="https://dx.doi.org/10.1016/j.egyr.2021.10.100" target="_blank">https://dx.doi.org/10.1016/j.egyr.2021.10.100</a></p>…"
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129
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130
A method for data path synthesis using neural networks
منشور في 2017"…Presents a deterministic parallel algorithm to solve the data path allocation problem in high-level synthesis. …"
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conferenceObject -
131
Eye-Clustering: An Enhanced Centroids Prediction for K-means Algorithm
منشور في 2024"…To achieve this goal, supervised machine learning was employed to train models on graphs with labeled data points, where each graph contains a set of points and a label indicating the centroid determined by K-means. …"
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masterThesis -
132
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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133
A Cyber-Physical System and Graph-Based Approach for Transportation Management in Smart Cities
منشور في 2021"…In this paper, we proposed a transport-control model that exploits cyber-physical systems (CPS) and sensor-technology to continuously monitor and mine the big city data for smart decision-making. …"
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134
An efficient approach for textual data classification using deep learning
منشور في 2022"…<p dir="ltr">Text categorization is an effective activity that can be accomplished using a variety of classification algorithms. In machine learning, the classifier is built by learning the features of categories from a set of preset training data. …"
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135
Data mining approach to predict student's selection of program majors
منشور في 2019"…The approach includes a methodology to manage data mining projects, sampling techniques to handle imbalanced data and multiclass data, a set of classification algorithms to predict and measures to evaluate performance of models. …"
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136
Use of Data Mining Techniques to Detect Fraud in Procurement Sector
منشور في 2022"…The method used in this research is a classification of models and algorithms used in data mining. All techniques also will be studied; they include clustering, tracking patterns, classifications and outlier detection. …"
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137
Blue collar laborers’ travel pattern recognition: Machine learning classifier approach
منشور في 2021"…Raw data preprocessing and outliers detection and filtering algorithms were applied at the first stage of the analysis, and consequently, an activity-based travel matrix was developed for each household. …"
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138
Evolutionary algorithms for state justification in sequential automatic test pattern generation
منشور في 2005"…A common search operation in sequential Automatic Test Pattern Generation is to justify a desired state assignment on the sequential elements. State justification using deterministic algorithms is a difficult problem and is prone to many backtracks, which can lead to high execution times. …"
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article -
139
Type 2 Diabetes Mellitus Automated Risk Detection Based on UAE National Health Survey Data: A Framework for the Construction and Optimization of Binary Classification Machine Learn...
منشور في 2020"…LR with the reduced feature set using the intersection between CS and RFE proved to be the best model among the tested algorithms. This model can be used in a clinical setting as a decision support system or for public health awareness as an informal risk prediction system. …"
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140
Wild Blueberry Harvesting Losses Predicted with Selective Machine Learning Algorithms
منشور في 2022"…The LR model showed the foremost predictions of ground loss as compared to all the other models analyzed. …"