Power System Transient Stability Assessment Based on Machine Learning Algorithms and Grid Topology حسب Senyuk, Mihail

"…In this study, the emergency control algorithms based on ensemble machine learning algorithms (XGBoost and Random Forest) were developed for a low-inertia power system. …"
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Boosting the visibility of services in microservice architecture حسب Ahmet Vedat Tokmak (17773479)

"…These assessments can be performed by means of a live health-check service, or, alternatively, by making a prediction of the current state of affairs with the application of machine learning-based approaches. In this research, we evaluate the performance of several classification algorithms for estimating the quality of microservices using the QWS dataset containing traffic data of 2505 microservices. …"

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

The buffered work-pool approach for search-tree based optimization algorithms حسب Abu-Khzam, Faisal N.

"…Exact algorithms often follow the classical search-tree based recursive backtracking strategy. …"
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Estimating Construction Project Duration Using a Machine Learning Algorithm حسب Nasr, Joshua

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On the Optimization of Band Gaps in Periodic Waveguides حسب Jamil Renno (14070771)

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Development of an Optimization Algorithm for Internet Data Traffic حسب Misbahuddin, Syed

"…The algorithm monitors data repetitions in IP datagram and prepares a compression code in response of this repetition. …"
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Modulation With Metaheuristic Approach for Cascaded-MPUC49 Asymmetrical Inverter With Boosted Output حسب Kaif Ahmed Lodi (16855518)

"…<p>This work introduces a 49-level Asymmetrical Inverter (AMLI) with boosted output based on the cascaded operation of two 7-Level Modified Packed U-Cell inverters (MPUC-7). …"

Predicting Dropouts among a Homogeneous Population using a Data Mining Approach حسب BILQUISE, GHAZALA

"…Our research reveals that the Gradient Boosted Trees is a robust algorithm that predicts dropouts with an accuracy of 79.31% and AUC of 88.4% using only pre-enrollment data. …"
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A genetic algorithm for testable data path synthesis حسب Harmanani, H.

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Data reductions and combinatorial bounds for improved approximation algorithms حسب Abu-Khzam, Faisal N.

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Distributed dimension reduction algorithms for widely dispersed data حسب Abu-Khzam, F.N.

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Data damage assessment and recovery algorithm from malicious attacks in healthcare data sharing systems حسب Haraty, Ramzi A.

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General applicability of genetic and simulated annealing algorithms for data mapping حسب Mansour, Nashat

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Physical optimization algorithms for mapping data to distributed-memory multiprocessors حسب Mansour, Nashat

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

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DG-Means – A Superior Greedy Algorithm for Clustering Distributed Data حسب Assaf, Ali

"…In this work, we present DG-means, which is a greedy algorithm that performs on distributed sets of data. …"
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A comparison of data mapping algorithms for parallel iterative PDE solvers حسب Mansour, Nashat

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An enhanced k-means clustering algorithm for pattern discovery in healthcare data حسب Haraty, Ramzi A.

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Extended Behavioral Modeling of FET and Lattice-Mismatched HEMT Devices حسب Khawam, Yahya Bader

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