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

“…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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DG-Means – A Superior Greedy Algorithm for Clustering Distributed Data by 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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Convergence behavior of the normalized least mean fourth algorithm by Zerguine, A.

“…The normalized least mean fourth (NLMF) algorithm is presented in this work and shown to have potentially faster convergence. …”
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A FAMILY OF NORMALIZED LEAST MEAN FOURTH ALGORITHMS by Zerguine, Azzedine

“…In this work, a family of normalized least mean fourth algorithms is presented. Unlike the LMF algorithm, the convergence behavior of these algorithms is independent of the input data correlation statistics. …”
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Exam scheduling algorithms. (c1999) by Mikati, Ziad

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Design of acoustic absorbing metasurfaces using a data-driven approach by Hamza Baali (14603380)

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Eye-Clustering: An Enhanced Centroids Prediction for K-means Algorithm by Nasser, Youssef

“…This work aims to enhance the performance of the K-means algorithm by introducing a novel method for selecting the initial centroids, thereby minimizing randomness and reducing the number of iterations needed to reach optimal results. …”
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Convergence and steady-state analysis of the normalized least mean fourth algorithm by Zerguine, Azzedine

“…The normalized least mean-fourth (NLMF) algorithm is presented in this work and shown to have potentially faster convergence. …”

Convergence and steady-state analysis of the normalized least mean fourth algorithm by Zerguine, Azzedine

“…The normalized least mean-fourth (NLMF) algorithm is presented in this work and shown to have potentially faster convergence. …”
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A Hybrid Deep Learning Model Using CNN and K-Mean Clustering for Energy Efficient Modelling in Mobile EdgeIoT by Dhananjay Bisen (19482454)

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An incremental approach for test scheduling and synthesis using genetic algorithms by Harmanani, H.

“…The method was implemented using C++ on a Linux workstation. Several benchmark examples have been implemented and favorable results are reported.…”
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Concurrent BIST Synthesis and Test Scheduling Using Genetic Algorithms by Harmanani, H. M.

“…The method was implemented using C+ + on a Linux workstation. Several benchmark examples have been implemented and favorable design comparisons are reported.…”
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A Tabu Search Algorithm For Maintenance Scheduling Of Generating Units by El-Amin, I.

“…A new heuristic algorithm based on the Tabu search has been proposed for the maintenance schedule (MS) of electric generation units. …”
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A Tabu Search Algorithm For Maintenance Scheduling Of Generating Units by Duffuaa, S. O.

“…A new heuristic algorithm based on the Tabu search has been proposed for the maintenance schedule (MS) of electric generation units. …”
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Burst Round Robin as a Proportional-Share Scheduling Algorithm by Helmy, Tarek

“…In this paper we introduce Burst Round Robin, a proportional-share scheduling algorithm as an attempt to combine the low scheduling overhead of round robin algorithms and favor shortest jobs. …”
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Efficient methods and techniques for the open-shop scheduling problem. (c2006) by Bou Ghosn, Steve

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Implementation of a Multivariable Modular Structure for Fuzzy Taxi Scheduling System (FTSS) by Kouatli, Issam

“…This paper describes the implementation of a hybridized intelligent algorithm to reach a decision under uncertainty and to tune the possible solution using genetic algorithm. …”
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Simulated tempering and mean field annealing for mapping to multicomputers. (c1996) by Aghazarian, Gabriel I.

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A new tabu search algorithm for the long-term hydro scheduling problem by Mantawy, A.H.

“…A new efficient algorithm to solve the long-term hydro scheduling problem (LTHSP) is presented in this paper. …”
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Cluster-based anonymity model and algorithm for 1:1 dataset with a single sensitive attribute using machine learning technique by J. Jayapradha (21323774)