بدائل البحث:
coding algorithm » cosine algorithm (توسيع البحث), colony algorithm (توسيع البحث), scheduling algorithm (توسيع البحث)
using algorithm » cosine algorithm (توسيع البحث)
tests » test (توسيع البحث)
finding » findings (توسيع البحث)
coding algorithm » cosine algorithm (توسيع البحث), colony algorithm (توسيع البحث), scheduling algorithm (توسيع البحث)
using algorithm » cosine algorithm (توسيع البحث)
tests » test (توسيع البحث)
finding » findings (توسيع البحث)
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41
Salp swarm algorithm: survey, analysis, and new applications
منشور في 2024"…The behavior of the species when traveling and foraging in the waters is the main source of SSA and MSSA. These two algorithms are put to test on a variety of mathematical optimization functions to see how they behave when it comes to finding the best solutions to optimization problems. …"
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Methodology for Analyzing the Traditional Algorithms Performance of User Reviews Using Machine Learning Techniques
منشور في 2020"…In this research, different machine-learning algorithms such as logistic regression, random forest and naïve Bayes were tuned and tested. …"
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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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Data Generation for Path Testing
منشور في 2004"…We present two stochastic search algorithms for generating test cases that execute specified paths in a program. …"
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48
Regression Testing of Database Applications
منشور في 2002"…In phase 2, further reduction in the regression test cases is performed by using reduction algorithms. …"
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49
Optimization metaheuristic for software testing
منشور في 2013"…We formulate the web application testing problem as an optimization problem and use a simulated annealing (SA) metaheuristic algorithm to generate test cases as sequences of events while keeping the test suite size reasonable. …"
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conferenceObject -
50
Predicting long-term type 2 diabetes with support vector machine using oral glucose tolerance test
منشور في 2019"…Data generated from an oral glucose tolerance test (OGTT) was used to develop a predictive model based on the support vector machine (SVM). …"
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51
An Optimized Feature Selection Technique in Diversified Natural Scene Text for Classification Using Genetic Algorithm
منشور في 2021"…The Support Vector Machine (SVM) algorithm is used for classification and the average F-Score is used as fitness function and target condition. …"
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Detecting sleep outside the clinic using wearable heart rate devices
منشور في 2022"…We developed and tested a heart rate-based algorithm that captures inter- and intra-individual sleep differences in free-living conditions and does not require human input. …"
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54
Localizing-ground Transmitters Using Airborne Antenna Array
منشور في 2020احصل على النص الكامل
doctoralThesis -
55
The role of Reinforcement Learning in software testing
منشور في 2023"…</p><h3>Results</h3><p dir="ltr">This study highlights different software testing types to which RL has been applied, commonly used RL algorithms and architecture for learning, challenges faced, advantages and disadvantages of using RL, and the performance comparison of RL-based models against other techniques.…"
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56
Improved Reptile Search Algorithm by Salp Swarm Algorithm for Medical Image Segmentation
منشور في 2023"…This study proposes a novel nature-inspired meta-heuristic optimizer based on the Reptile Search Algorithm combed with Salp Swarm Algorithm for image segmentation using gray-scale multi-level thresholding, called RSA-SSA. …"
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57
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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58
Limiting the Collection of Ground Truth Data for Land Use and Land Cover Maps with Machine Learning Algorithms
منشور في 2022"…This paper aimed at evaluating the efficiency of machine learning (ML) in limiting the use of ground truth data for LULC maps. This was accomplished by (1) extracting reliable LULC information from Sentinel-2 and Landsat-8 s images, (2) generating remote sensing indices used to train ML algorithms, and (3) comparing the results with ground truth data. …"
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Incremental Genetic Algorithm
منشور في 2006"…If these problems are not small in size, it becomes costly to use a genetic algorithm to reoptimize them after each modification. …"
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article