An Ultrafast Maximum Power Point Setting Scheme for Photovoltaic Arrays Using Model Parameter Identification حسب Zhaohui Cen (17217391)

"…Subsequently a simple but effective global MPPT algorithm is proposed to track the MPP in the overallP-Icurve obtained from the identified PV array model, ensuring that the converter works at the MPP. …"

Metaheuristic Algorithm for State-Based Software Testing حسب Haraty, Ramzi A.

"…This article presents a metaheuristic algorithm for testing software, especially web applications, which can be modeled as a state transition diagram. …"
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The Detection of Dysarthria Severity Levels Using AI Models: A Review حسب Afnan Al-Ali (16888695)

Delay Optimization in LoRaWAN by Employing Adaptive Scheduling Algorithm With Unsupervised Learning حسب Zulfiqar Ali (117651)

"…This paper aims to optimize the delay in LoRaWAN by using an Adaptive Scheduling Algorithm (ASA) with an unsupervised probabilistic approach called Gaussian Mixture Model (GMM). …"

Spectrum Sensing Algorithms for Cooperative Cognitive Radio Networks حسب Hassan, Yasmin Adel

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Scatter search for homology modeling حسب Mansour, Nashat

"…Homology modeling is an effective technique in protein structure prediction (PSP). …"
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Effective solutions for the capacitated vehicle routing problem and for the split delivery vehicle routing problem with time windows. (c2013) حسب Hilal, Nathalie

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Efficient Dynamic Cost Scheduling Algorithm for Data Batch Processing حسب Al Sadawi, Alia

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Correlation Clustering with Overlaps حسب Fakhereldine, Amin

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Design Optimization of Inductive Power Transfer Systems Considering Bifurcation and Equivalent AC Resistance for Spiral Coils حسب Alireza Namadmalan (16864236)

Efficient Dynamic Cost Scheduling Algorithm for Financial Data Supply Chain حسب Al Sadawi, Alia

"…The developed algorithm proved effective by testing it on an illustrative network. …"
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Efficient heuristic algorithms for influence propagation in social networks. (c2018) حسب Lamaa, Karine H.

"…Our experiments on a variety of social (sub) networks show that our algorithms can almost always manage to extract a small set of influencers through which we can effectively propagate a message throughout the whole network.…"
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Using Machine Learning Algorithms to Forecast Solar Energy Power Output حسب Ali Jassim Lari (22597940)

"…Due to the variability of solar energy, the forecasting window is an important aspect of solar energy forecasting that must be integrated into any machine learning model. This study evaluates the suitability of selected machine learning (ML) models comprising Linear Regression, Decision Tree, Random Forest and XGBoost, which have been proven to be effective at forecasting. …"

Forecasting the nearly unforecastable: why aren’t airline bookings adhering to the prediction algorithm? حسب Saravanan Thirumuruganathan (11038038)

"…Research results indicate that algorithmic approaches in competitive industries must account for shifting customer preferences, changes to the travel environment, and confounding business effects rather than relying solely on historical data.…"

NOVEL STACKING CLASSIFICATION AND PREDICTION ALGORITHM BASED AMBIENT ASSISTED LIVING FOR ELDERLY حسب JINESH, PADIKKAPPARAMBIL

"…The experimental outcomes demonstrate the proposed MCFS, NCA, and NSCP algorithms work more effectively than previous feature selection, clustering and classification algorithms, respectively, in terms of accuracy, sensitivity, specificity, precision, recall, f-measure and execution time. …"
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Multi-Objective Co-optimization of Power and Gas under Uncertainties with P2H embedded حسب Abdallah, Rawan Yousef Ali

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The Effects of Data Mining on Small Businesses in Dubai حسب AlMutawa, Rasha

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UniBFS: A novel uniform-solution-driven binary feature selection algorithm for high-dimensional data حسب Behrouz Ahadzadeh (19757022)

"…To improve the effectiveness and efficiency of the UniBFS algorithm, Redundant Features Elimination algorithm (RFE) is presented in this paper. …"

Stochastic management of hybrid AC/DC microgrids considering electric vehicles charging demands حسب Peng, Wang

"…In order to model the uncertainty effects, a data-driven framework based on point estimate method and support vector machine is developed. …"
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The automation of the development of classification models and improvement of model quality using feature engineering techniques حسب Sjoerd Boeschoten (17347045)

"…<p>Recently pipelines of machine learning-based classification models have become important to codify, orchestrate, and automate the workflow to produce an effective machine learning model. …"