بدائل البحث:
testing algorithm » cosine algorithm (توسيع البحث)
method algorithm » mould algorithm (توسيع البحث)
data testing » data using (توسيع البحث)
testing algorithm » cosine algorithm (توسيع البحث)
method algorithm » mould algorithm (توسيع البحث)
data testing » data using (توسيع البحث)
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141
The effects of data balancing approaches: A case study
منشور في 2023"…Our results showed that the replacement method was effective, and LogisticRegression combined with the oversampling algorithms SMOTE or ADASYN, GaussianProcessClassifier with the oversampling algorithm SMOTE, and LinearDiscriminantAnalysis were the best performing models after log transformation of the dataset was followed by Recursive Feature Elimination.…"
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142
GenDE: A CRF-Based Data Extractor
منشور في 2020"…Web site schema detection and data extraction from the Deep Web have been studied a lot. …"
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143
Multi-Modal Emotion Aware System Based on Fusion of Speech and Brain Information
منشور في 2019"…In all likelihood, while features from several modalities may enhance the classification performance, they might exhibit high dimensionality and make the learning process complex for the most used machine learning algorithms. …"
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144
A static test compaction technique for combinational circuits based on independent fault clustering
منشور في 2003"…Testing system-on-chip involves applying huge amounts of test data, which is stored in the tester memory and then transferred to the circuit under test during test application. …"
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article -
145
Diagnostic test accuracy of AI-assisted mammography for breast imaging: a narrative review
منشور في 2025"…Artificial intelligence (AI), with its ability to process vast amounts of data and detect intricate patterns, offers a solution to the limitations of traditional mammography, including missed diagnoses and false positives. …"
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146
Efficient Test Compaction for Combinational Circuits Based on Fault Detection Count-Directed Clustering
منشور في 2006"…Test compaction is an effective technique for reducing test data volume and test application time. …"
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article -
147
A Novel Partitioned Random Forest Method-Based Facial Emotion Recognition
منشور في 2025"…A range of machine learning (ML) methods can be used to recognize facial expressions based on data from small to large datasets. Random Forest (RF) is simpler and more efficient than other ML algorithms. …"
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148
An efficient approach for textual data classification using deep learning
منشور في 2022"…Textual data contains much useless information that must be pre-processed. …"
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149
Exploring Semi-Supervised Learning Algorithms for Camera Trap Images
منشور في 2022احصل على النص الكامل
doctoralThesis -
150
Synthesis of MVL Functions - Part I: The Genetic Algorithm Approach
منشور في 2006"…The algorithm is tested using 200 randomly generated 2-variable 4-valued functions. …"
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151
Bee colony algorithm for assigning proctors to exams. (c2013)
منشور في 2013احصل على النص الكامل
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masterThesis -
152
Eye-Clustering: An Enhanced Centroids Prediction for K-means Algorithm
منشور في 2024"…The proposed method, named Eye-means, emulates the natural ocular process of estimating initial centroids. 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 -
153
Big Data Energy Management, Analytics and Visualization for Residential Areas
منشور في 2020"…A high-speed distributed computing cluster based on commodity hardware with efficient big data mathematical algorithm is employed in this work. …"
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article -
154
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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155
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156
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157
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158
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 -
159
Convergence and steady-state analysis of the normalized least mean fourth algorithm
منشور في 2007article -
160