بدائل البحث:
using algorithm » cosine algorithm (توسيع البحث)
svm algorithm » swarm algorithm (توسيع البحث), rd algorithm (توسيع البحث)
models using » model using (توسيع البحث)
experiments » experimental (توسيع البحث)
using algorithm » cosine algorithm (توسيع البحث)
svm algorithm » swarm algorithm (توسيع البحث), rd algorithm (توسيع البحث)
models using » model using (توسيع البحث)
experiments » experimental (توسيع البحث)
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1
Multimodal EEG and Keystroke Dynamics Based Biometric System Using Machine Learning Algorithms
منشور في 2021"…We also developed a binary template matching-based algorithm, which gives 93.64% accuracy 6X faster. …"
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3
Parallel Algorithms for Distinguishing Nondeterministic Finite State Machines
منشور في 2015احصل على النص الكامل
doctoralThesis -
4
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5
A Hybrid Deep Learning Model Using CNN and K-Mean Clustering for Energy Efficient Modelling in Mobile EdgeIoT
منشور في 2023"…This research proposed a hybrid model for energy-efficient cluster formation and a head selection (E-CFSA) algorithm based on convolutional neural networks (CNNs) and a modified k-mean clustering (MKM) method for MEC. …"
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6
Automating UML Models Refactoring using Search-Based Algorithms
منشور في 2020احصل على النص الكامل
masterThesis -
7
Using genetic algorithms to optimize software quality estimation models
منشور في 2004"…This thesis explores the use of genetic algorithms for the problem of optimizing existing rule-based software quality estimation models. …"
احصل على النص الكامل
احصل على النص الكامل
احصل على النص الكامل
masterThesis -
8
Sensitivity analysis and genetic algorithm-based shear capacity model for basalt FRC one-way slabs reinforced with BFRP bars
منشور في 2023"…Finally, a design equation that can predict the shear capacity of one-way BFRC-BFRP slabs was proposed based on genetic algorithm. The proposed model showed the best prediction accuracy compared to the available design codes and guidelines with a mean of predicted to experimental shear capacities (V<sub>pred</sub>/V<sub>exp</sub>) ratio of 0.97 and a coefficient of variation of 17.91%.…"
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9
Efficient Approximate Conformance Checking Using Trie Data Structures
منشور في 2021"…In this paper, we contribute a new formulation of the proxy behavior derived from a model for approximate conformance checking. By encoding the proxy behavior using a trie data structure, we obtain a logarithmically reduced search space for alignment computation compared to a set-based representation. …"
احصل على النص الكامل
احصل على النص الكامل
احصل على النص الكامل
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10
Quality estimation models optimization using genetic algorithms: Case of maintainability
منشور في 1999احصل على النص الكامل
احصل على النص الكامل
conferenceObject -
11
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12
CFD Based Airfoil Shape Optimization for Aerodynamic Drag Reduction
منشور في 2012احصل على النص الكامل
doctoralThesis -
13
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. …"
احصل على النص الكامل
article -
14
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15
Predictive Model of Psychoactive Drugs Consumption using Classification Machine Learning Algorithms
منشور في 2023"…Eighteen classification models were built using different classification algorithms such as Gaussian Naive Bais, Logistic Regression, k-nearest neighbors, Random Forest, and Decision Tree. …"
احصل على النص الكامل
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16
Valuation of commodity option prices under a regime-switching model with stochastic convenience yield: Model calibration using flower pollination optimization algorithm
منشور في 2025"…Using the WTI crude oil spot prices, the parameters involved in the proposed commodity regime-switching model are estimated by expectation–maximization algorithm. …"
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Multi-Objective Optimisation of Injection Moulding Process for Dashboard Using Genetic Algorithm and Type-2 Fuzzy Neural Network
منشور في 2024"…The proposed model was developed and implemented using MATLAB software. …"
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19
Web Based Online Hybrid Teaching Method of Network Music Course
منشور في 2022"…In the context of big data, the lengthy personalized screening process of users has become one of the problems to be solved. Based on Web data mining, an improved algorithm of hybrid hierarchical recommendation algorithm and genetic algorithm is used in the experiment, and compared with the other two algorithms in the experiment. …"
احصل على النص الكامل
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20
Deep learning-based user experience evaluation in distance learning
منشور في 2023"…Long short term memory-based sentiment analysis model using word2vec embedding was used to evaluate the opinions of Twitter users during distance education and also, a topic model using the LDA algorithm was built to identify the discussed topics in Twitter. …"