A multi-class discriminative motif finding algorithm for autosomal genomic data. (c2015) حسب Wehbe, Gioia Wahib

"…Our algorithm first performs a feature selection step to define differentiable SNPs. …"
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Data of simulation model for photovoltaic system's maximum power point tracking using sequential Monte Carlo algorithm حسب Odat, Alhaj-Saleh A.

"…This article outlines the input data and partial shading conditions employed in the replication model of Sequential Monte Carlo (SMC)-based tracking techniques for photovoltaic (PV) systems. …"
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I Will Survive: An Event-driven Conformance Checking Approach Over Process Streams حسب Raun, Kristo

"…Online conformance checking deals with finding discrepancies be tween real-life and modeled behavior on data streams. …"
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Using machine learning algorithm for detection of cyber-attacks in cyber physical systems حسب Almajed, Rasha

"…We begin a process to cleaning up the data in the CPS database by applying normalization to eliminate errors and duplication. …"
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Extreme Early Image Recognition Using Event-Based Vision حسب Abubakar Abubakar (18278998)

"…Unlike frame-based imagers, event-based imagers output asynchronous pixel events without the need for global exposure time, therefore lowering both power consumption and latency. …"

A Low-Cost Closed-Loop Solar Tracking System Based on the Sun Position Algorithm حسب E. H. Chowdhury (545276)

"…In summary, even for a small-scale solar tracking system, the algorithm-based closed-loop dual-axis tracking system can increase overall system efficiency. …"

Use of Data Mining Techniques to Detect Fraud in Procurement Sector حسب AL HAMMADI, SUMAYYA ABDULLA

"…The method used in this research is a classification of models and algorithms used in data mining. All techniques also will be studied; they include clustering, tracking patterns, classifications and outlier detection. …"
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Generic metadata representation framework for social-based event detection, description, and linkage حسب Abebe, Minale A.

"…The latter are required as the building blocks for event-based Collective Knowledge (CK) organization, where CK underlines the combination of all known data, information, and metadata concerning a given concept or event. …"
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A Study on Applying Data Mining in Airline Industry for Demand Forecasting by predicting Item Criticality حسب KARAM, ZAINAB HAMDAN

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Optimum Track to Track Fusion Using CMA-ES and LSTM Techniques حسب Fares, Samar

"…The first method uses an offline technique based on a global optimizer called the CMA-ES algorithm and the second one uses LSTM in its different forms to learn the online adjustment of the fusion weights between the two tracks. …"
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Metaheuristic Algorithm for State-Based Software Testing حسب Haraty, Ramzi A.

"…SA evolves a solution by minimizing an energy function that is based on testing objectives such as coverage, diversity, and continuity of events. …"
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Novel algorithms for accurate DNA base-calling حسب Mohammed, Omniyah Gul

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Multilayer Reversible Data Hiding Based on the Difference Expansion Method Using Multilevel Thresholding of Host Images Based on the Slime Mould Algorithm حسب Abu Zitar, Raed

"…The slime mould algorithm (SMA) gives good results in finding the best solutions to optimization problems. …"
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Adaptive Time-Varying Brain Source Localization حسب Al-Momani, Sajedah A.

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Genetic and heuristic algorithms for regrouping service sites. (c2000) حسب Tabbara, Hiba

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A genetic algorithm for corrective retesting. (c1995) حسب Fakih, Khaled A.

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How can algorithms help in segmenting users and customers? A systematic review and research agenda for algorithmic customer segmentation حسب Joni Salminen (7434770)

Improved search-tree algorithms for the cluster edit problem. (c2011) حسب Ghrayeb, Ali Kassem

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Detecting sleep outside the clinic using wearable heart rate devices حسب Ignacio Perez-Pozuelo (14153007)

Augmented arithmetic optimization algorithm using opposite-based learning and lévy flight distribution for global optimization and data clustering حسب Abu Zitar, Raed

"…This paper proposes a new data clustering method using the advantages of metaheuristic (MH) optimization algorithms. …"