بدائل البحث:
algorithm tree » algorithm survey (توسيع البحث), algorithm review (توسيع البحث)
algorithm b » algorithm _ (توسيع البحث), algorithm a (توسيع البحث), algorithms _ (توسيع البحث)
b function » _ functional (توسيع البحث)
algorithm tree » algorithm survey (توسيع البحث), algorithm review (توسيع البحث)
algorithm b » algorithm _ (توسيع البحث), algorithm a (توسيع البحث), algorithms _ (توسيع البحث)
b function » _ functional (توسيع البحث)
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Learning continuous functions using decision tree learning algorithms
منشور في 2001احصل على النص الكامل
masterThesis -
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A New Penalty Function Algorithm For Convex Quadratic Programming
منشور في 2020"…In this paper, we develop an exterior point algorithm for convex quadratic programming using a penalty function approach. …"
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Genetic and heuristic algorithms for regrouping service sites. (c2000)
منشور في 2000احصل على النص الكامل
احصل على النص الكامل
masterThesis -
6
Properties of simulated annealing and genetic algorithms for mapping data to multicomputers
منشور في 1997"…We experimentally analyze some properties of simulated annealing algorithms (SA) and genetic algorithms (GA) for mapping data to multicomputers. …"
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احصل على النص الكامل
احصل على النص الكامل
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Cohen syndrome and early-onset epileptic encephalopathy in male triplets: two disease-causing mutations in VPS13B and NAPB
منشور في 2023"…Interestingly, the functions of the two proteins; VPS13B, a transmembrane protein involved in intracellular protein transport, and SNAP-beta involved in neurotransmitters release at the neuronal synaptic complexes, have been associated with Golgi-mediated vesicular trafficking. …"
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An efficient failure-resilient mutual exclusion algorithm for distributed systems leveraging a novel zero-message overlay structure
منشور في 2024"…<p>In this paper, we provide a novel failure-resilient token-based mutual exclusion (ME) algorithm for distributed systems. Like a few other solutions in the literature, the proposed solution leverages a logical tree as its underlying topology. …"
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A Hybrid Intrusion Detection Model Using EGA-PSO and Improved Random Forest Method
منشور في 2022"…In the next phase, an IRF eliminates the less significant attributes, incorporates a list of decision trees across each iterative process, supervises the classifier’s performance, and prevents overfitting issues. …"
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Determining the Factors Affecting the Boiling Heat Transfer Coefficient of Sintered Coated Porous Surfaces
منشور في 2021"…In this regard, two Bayesian optimization algorithms including Gaussian process regression (GPR) and gradient boosting regression trees (GBRT) are used for tuning the hyper-parameters (number of input and dense nodes, number of dense layers, activation function, batch size, Adam decay, and learning rate) of the deep neural network. …"
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Android Malware Detection Using Machine Learning
منشور في 2024"…In this work, several machine learning algorithms were utilized, namely k-Nearest neighbor (KNN), Decision Trees (DT), Naive Bayes (NB), Support Vector Machine (SVM) and other ensemble classifiers including Extreme Gradient Boosting (XGBoost), Light Gradient Boosting Machine (LGBM) and CatBoost. …"
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A novel method for the detection and classification of multiple diseases using transfer learning-based deep learning techniques with improved performance
منشور في 2024"…Hence, in this study, deep learning algorithms, such as VGG16, EfficientNetB4, and ResNet, are utilized to diagnose various diseases, such as Alzheimer's, brain tumors, skin diseases, and lung diseases. …"
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Kernel-Ridge-Regression-Based Randomized Network for Brain Age Classification and Estimation
منشور في 2024"…Moreover, the proposed algorithm demonstrated excellent prediction accuracy with a mean absolute error (MAE) of <b>3.89</b> years, <b>3.64 </b>years, and <b>4.49</b> years for GM, WM, and CSF regions, confirming that changes in WM volume are significantly associated with normal brain aging. …"
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Economic Production Lot-Sizing For An Unreliable Machine Under Imperfect Age-Based Maintenance Policy
منشور في 2020"…Numerical results are provided to illustrate both the use of the algorithm in the study of the optimal cost function and the latter's sensitivity to different changes in cost factors. …"
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