Parameter Estimation Of Wiener-Hammerstein Models Via Genetic Algorithms حسب Emara-Shabaik, Husam

"…In this paper, a modified genetic algorithm is used as a procedure to solve the parameter identification problem of the nonlinear Wiener-Hammerstein models. …"
احصل على النص الكامل

Combining and adapting software quality predictive models by genetic algorithms حسب Azar, D.

احصل على النص الكامل
احصل على النص الكامل
احصل على النص الكامل
احصل على النص الكامل

Gas Metal Arc Welding (GMAW) Process Optimization Using Machine Learning Models حسب Sharaf, Ahmed

احصل على النص الكامل

A New Parallel Genetic Algorithm Model حسب Al-Somani, Turki F.

"…This paper presents an implementation of three Genetic Algorithm models for solving a reliability optimization problem for a redundancy system with several failure modes, a modification on a parallel a genetic algorithm model and a new parallel genetic algorithm model. …"
احصل على النص الكامل

The Detection of Dysarthria Severity Levels Using AI Models: A Review حسب Afnan Al-Ali (16888695)

A Hybrid Deep Learning Model Using CNN and K-Mean Clustering for Energy Efficient Modelling in Mobile EdgeIoT حسب Dhananjay Bisen (19482454)

Squirrel Search Algorithm for Portfolio Optimization حسب Dhaini, Mahdi

"…Comparative analysis and computational results using different performance indicators show the superiority of the proposed approach for the unconstrained portfolio optimization using both extended Mean-Variance and Sharpe models. …"
احصل على النص الكامل
احصل على النص الكامل
احصل على النص الكامل

An ant colony optimization algorithm to improve software quality prediction models حسب Azar, D.

"…We use an ant colony optimization algorithm in the adaptation process. …"
احصل على النص الكامل
احصل على النص الكامل
احصل على النص الكامل

A Genetic Algorithm for Improving Accuracy of Software Quality Predictive Models حسب Azar, Danielle

"…In this work, we present a genetic algorithm to optimize predictive models used to estimate software quality characteristics. …"
احصل على النص الكامل
احصل على النص الكامل
احصل على النص الكامل

Data of simulation model for photovoltaic system's maximum power point tracking using sequential Monte Carlo algorithm حسب Odat, Alhaj-Saleh A.

"…The model aims to compare the performance of classical perturb and observe (P&O) algorithm, particle swarm optimization (PSO) algorithm, flower pollination algorithm (FPA), and SMC-based tracking techniques. …"
احصل على النص الكامل
احصل على النص الكامل
احصل على النص الكامل

A Hybrid Intrusion Detection Model Using EGA-PSO and Improved Random Forest Method حسب Amit Kumar Balyan (18288964)

"…To deal with the data-imbalance issue, this research develops an efficient hybrid network-based IDS model (HNIDS), which is utilized using the enhanced genetic algorithm and particle swarm optimization(EGA-PSO) and improved random forest (IRF) methods. …"

Calibration of building model based on indoor temperature for overheating assessment using genetic algorithm: Methodology, evaluation criteria, and case study حسب Mutasim Baba, Fuad

"…This methodology includes a variance-based sensitivity analysis to determine building parameters that significantly influence indoor air temperatures, the Multi-Objective Genetic Algorithm to calibrate different rooms simultaneously based on the significant param eters identified by the sensitivity analysis, and new evaluation criteria to achieve a high-accuracy calibrated model. …"
احصل على النص الكامل
احصل على النص الكامل
احصل على النص الكامل

Using machine learning to support students’ academic decisions حسب ALLAH, AISHA QASIM GHAZAL FATEH

"…This approach uses other students’ grades to make a prediction. This research tests and compares the performance of Decision Trees, Random Forests, Gradient-Boosted trees, and Deep Learning machine learning regression algorithms to predict student GPA. …"
احصل على النص الكامل

Predict Student Success and Performance factors by analyzing educational data using data mining techniques حسب ATIF, MUHAMMAD

"…The research study is performed as experimental analysis and develop models from nine machine learning algorithms including KNN, Naïve Bayes, SVM, Logistic regression, Decision Tree, Random forest, Adaboost, Bagging Classifier, and voting Classifier. …"
احصل على النص الكامل

Parametric Estimation From Empirical Data Using Particle Swarm Optimization Method for Different Magnetorheological Damper Models حسب Asan G. A. Muthalif (16888818)

"…The validation of the algorithm is attained by comparing the resulting modified Bouc-Wen model behaviour using PSO against the same model's behaviour, identified using Genetic Algorithm (GA). …"

Efficient Approximate Conformance Checking Using Trie Data Structures حسب Awad, Ahmed

"…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

Using machine learning algorithm for detection of cyber-attacks in cyber physical systems حسب Almajed, Rasha

احصل على النص الكامل
احصل على النص الكامل

Enhancing e-learning through AI: advanced techniques for optimizing student performance حسب Rund Mahafdah (21399854)

"…The main goals consist of creating an AI-based framework to monitor and analyze student interactions, evaluating the influence of online learning platforms on student understanding using advanced algorithms, and determining the most efficient methods for blended learning systems. …"

A hybrid heuristic approach to optimize rule based software quality estimation models. (c2008) حسب Korkmaz, Rita

احصل على النص الكامل
احصل على النص الكامل

Enhancing Student Services: Machine Learning Chatbot Intent Recognition for High School Inquiries حسب Assayed, Suha Khalil

احصل على النص الكامل
احصل على النص الكامل