Algorithmic Study of Online Multi-Facility Location Problems by Markarian, Christine

“…The aim of the algorithm is then to provide a robust service to all clients while minimizing the total connecting and facility purchasing costs. …”
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The algorithmic muse and the public domain: Why copyright’s legal philosophy precludes protection for generative AI outputs by Ezieddin Elmahjub (17788526)

An enhanced quorum selection algorithm by Haraty, Ramzi A.

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An Improved Quorum Selection Algorithm by Haraty, Ramzi A.

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

“…Out of the 169 studies that provided details about hyperparameters, more than four out of five used segment size as their only hyperparameter. …”

Accuracy of an internationally validated genetic-guided warfarin dosing algorithm compared to a clinical algorithm in an Arab population by Amr M. Fahmi (21632909)

“…After reaching warfarin maintenance dose, the dose was recalculated using the GWD and median absolute error (MAE) and the percentage of warfarin doses within 20% of the actual dose were calculated and compared for the two algorithms. </p><h3>Results</h3><p dir="ltr">The study enrolled 130 patients from 12 Arabian countries. …”

Consumer Health Search on the Web: Study of Web Page Understandability and Its Integration in Ranking Algorithms by Joao Palotti (8479842)

A Comparative study between cache replacement algorithms used in the scalable asynchronous cache consistency scheme. (c2006) by Turk, Lana

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Social spider optimization algorithm: survey and new applications by Abualigah, Laith

“…Finally, this chapter provides an expectation of the fields that need to work with this algorithm to improve problem-solving and the fields that have a growing number studies that use this algorithm.…”
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A hybrid graph representation for exact graph algorithms by Abu-Khzam, Faisal N.

“…We investigate practical implementation-based aspects of exact graph algorithms by providing a simple hybrid graph representation that trades space for time to address the said take-back challenge. …”
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An improved quorum selection algorithm (IQSA). (c2007) by Younes, Samer

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A Survey of cuckoo search algorithm: optimizer and new applications by Abualigah, Laith

“…We offer an overview of the latest enhancements to this method in the past 5 years, explore the theoretical underpinning and potential research areas for future advances, and introduce novel metaheuristics to optimize computations based on explicit boosting tasks. Early studies reveal that the algorithm is viable and can exceed existing methods in performance. …”
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Chlorophyll-a concentrations in the Arabian Gulf waters of arid region: A case study from the northern coast of Qatar by Sankaran, Rajendran

“…The performance of the algorithms was studied using WorldView-3 data, which provided the R2 values of 60% and the best suitability of the NDCI algorithm and MSI data to map the concentration of Chl-a. …”
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Leveraging Machine and Deep Learning Algorithms for hERG Blocker Prediction by Syed Mohammad (21075689)

“…In summary, the current study provides a machine learning framework for computation cardiotoxicity assessment by analysis of the hERG blocker concentration cut-offs using different fingerprints at multiple thresholds.…”

Improved Transportation Model with Internet of Things Using Artificial Intelligence Algorithm by Ayman Khallel Al-Ani (17541447)

“…Furthermore, a route management technique is combined with Artificial Intelligence (AI) algorithm to transmit the data to appropriate central servers. …”

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

“…Data mining approaches offer the methodology and technology to transform these heterogeneous data into meaningful information for decision making. This paper studies data mining applications in healthcare. Mainly, we study k-means clustering algorithms on large datasets and present an enhancement to k-means clustering, which requires k or a lesser number of passes to a dataset. …”
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Nonlinear model predictive control of Hammerstein and Wiener modelsusing genetic algorithms by Al-Duwaish, H.

“…In this paper a novel approach for the implementation of nonlinear MPC is proposed using genetic algorithms (GAs). The proposed method formulates the MPC as an optimization problem and genetic algorithms are used in the optimization process. …”
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Forecasting the nearly unforecastable: why aren’t airline bookings adhering to the prediction algorithm? by Saravanan Thirumuruganathan (11038038)

“…We then compare the performance of the Next Likely Destination model in a real-life consumer study with 35,000 actual airline customers. In the user study, the model obtains a 51% predictive accuracy. …”

Exploring Sentiment Analysis using Different Machine Learning Algorithms on Dialectal Arabic by AL MANSOORI, MOUZA

“…This paper focuses on dialectal Arabic sentiment analysis. The study explores sentiment analysis using different machine learning algorithms on dialectal Arabic text dataset. …”
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Modified Elite Opposition-Based Artificial Hummingbird Algorithm for Designing FOPID Controlled Cruise Control System by Abualigah, Laith

“…Efficient speed controllers for dynamic driving tasks in autonomous vehicles are crucial for ensuring safety and reliability. 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. …”
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