Orthogonal Learning Rosenbrock’s Direct Rotation with the Gazelle Optimization Algorithm for Global Optimization حسب Abu Zitar, Raed

"…The gazelle optimization algorithm (GOA) is a global stochastic optimizer that is straightforward to comprehend and has powerful search capabilities. …"
احصل على النص الكامل

Automated quantification of penile curvature using artificial intelligence حسب Tariq O. Abbas (11247771)

A Novel Hybrid Genetic-Whale Optimization Model for Ontology Learning from Arabic Text حسب M. Ghoniem , Rania

"…The results reveal that the proposed genetic-whale optimization algorithm outperforms the other compared algorithms across all the Arabic corpora in terms of precision, recall, and F-score measures. …"
احصل على النص الكامل
احصل على النص الكامل

Using artificial intelligence to improve body iron quantification: A scoping review حسب Abdulqadir J. Nashwan (11659453)

Effective uncertain fault diagnosis technique for wind conversion systems using improved ensemble learning algorithm حسب Khadija Attouri (18024307)

"…<p>This paper introduces a pioneering fault diagnosis technique termed Interval Ensemble Learning based on Sine Cosine Optimization Algorithm (IEL- SCOA), tailored to tackle uncertainties prevalent in wind energy conversion (WEC) systems. …"

Tensile Test Optimization Using the Design of Experiment and Soft Computing حسب Mehdi Moayyedian (14880358)

"…This study employs a hybrid soft computing approach, integrating an adaptive network-based fuzzy inference system (ANFIS), genetic algorithm (GA) optimization, and design of experiments (DOE). …"

Image-Based Air Quality Estimation Using Convolutional Neural Network Optimized by Genetic Algorithms: A Multi-Dataset Approach حسب Arshad Ali Khan (23152516)

"…The convolutional neural network is optimized using genetic algorithms, which dynamically tune hyper-parameters such as learning rate, batch size, and momentum to improve performance and generalizability across diverse environmental conditions. …"

New Fast Arctangent Approximation Algorithm for Generic Real-Time Embedded Applications حسب Mohieddine Benammar (18103039)

A Hybrid Approach for Predicting Critical Machining Conditions in Titanium Alloy Slot Milling Using Feature Selection and Binary Whale Optimization Algorithm حسب Amirsajjad Rahmani (17541453)

"…The t-test and the binary whale optimization algorithm (BWOA) were applied to choose the best features and train the support vector machine (SVM) model with validation and training data. …"

Wind, Solar, and Photovoltaic Renewable Energy Systems with and without Energy Storage Optimization: A Survey of Advanced Machine Learning and Deep Learning Techniques حسب Abu Zitar, Raed

"…Nowadays, learning-based modeling methods are utilized to build a precise forecast model for renewable power sources. …"
احصل على النص الكامل

Optimizing Aircraft Pitch Control Systems: A Novel Approach Integrating Artificial Rabbits Optimizer with PID-F Controller حسب Abualigah, Laith

"…Comparative analysis with various optimization algorithm-based controllers from the literature demonstrates the effectiveness of the proposed technique. …"
احصل على النص الكامل

EVALUATION OF OPTIMIZATION METHODS FOR MACHINING ECONOMICS MODELS حسب Duffuaa, S. O.

"…The algorithms are evaluated empirically with respect to their reliability, precision, convergence, sensitivity to input vector and their preparational effort. …"
احصل على النص الكامل

Comparative Analysis of Supervised Machine and Deep Learning Algorithms for Kyphosis Disease Detection حسب Alok Singh Chauhan (8264985)

Predictive Model of Psychoactive Drugs Consumption using Classification Machine Learning Algorithms حسب Almahmood, Mothanna

"…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

Modified Elite Opposition-Based Artificial Hummingbird Algorithm for Designing FOPID Controlled Cruise Control System حسب Abualigah, Laith

"…This study proposes a novel approach for designing a fractional order proportional-integral-derivative (FOPID) controller that utilizes a modified elite opposition-based artificial hummingbird algorithm (m-AHA) for optimal parameter tuning. Our approach outperforms existing optimization techniques on benchmark functions, and we demonstrate its effectiveness in controlling cruise control systems with increased flexibility and precision. …"
احصل على النص الكامل

Parametric Design Optimization in Sustainable Urban Design: In Hot Climate حسب Musleh, Mousa A. M.

"…This research employs Genetic algorithms as the computational design methodology to achieve parametric design optimization to design for a more sustainable cities and urban. …"
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

Mobile Energy Storage Systems for Benefit Maximization in Resilient Smart Grids حسب Alshaal, Dima

احصل على النص الكامل

Arabic Text Classification Using Modified Artificial Bee Colony Algorithm for Sentiment Analysis: The Case of Jordanian Dialect حسب Habeeb, Abdallah

"…The second phase, modified the Artificial Bee Colony (ABC) Algorithm, with Upper Confidence Bound (UCB) Algorithm, to promote the exploitation ability for the minimum dimension, to get the minimum number of the optimal feature, then using forward feature selection strategy by four classifiers of machine learning algorithms: (K-Nearest Neighbors (KNN), Support vector machines (SVM), Naïve-Bayes (NB), and Polynomial Neural Networks (PNN). …"
احصل على النص الكامل

Enhanced climate change resilience on wheat anther morphology using optimized deep learning techniques حسب Arifa Zahir (20748764)

"…Moreover, Precision, Recall, and F1 Measure are utilized to ascertain accuracy levels. …"