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1
Improved search-tree algorithms for the cluster edit problem. (c2011)
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masterThesis -
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A clustering-based algorithm for the rectilinear steiner tree problem
Published 1994Get full text
masterThesis -
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A Tabu Search-Based Algorithm For The Fuzzy Clustering Problem
Published 2020“…We compare the performance of the algorithm with the fuzzy Cmeans algorithm.…”
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A Hybrid Deep Learning Model Using CNN and K-Mean Clustering for Energy Efficient Modelling in Mobile EdgeIoT
Published 2023“…This research proposed a hybrid model for energy-efficient cluster formation and a head selection (E-CFSA) algorithm based on convolutional neural networks (CNNs) and a modified k-mean clustering (MKM) method for MEC. …”
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Intelligent Rapidly-Exploring Random Tree Star Algorithm
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doctoralThesis -
7
A GLOBAL ALGORITHM FOR THE FUZZY CLUSTERING PROBLEM
Published 2020“…The global minimum solution of the problem is found using a simulated annealing-based algorithm. Some preliminary computational experiments are reported and the solution is compared with that generated by the Fuzzy C-means algorithm.…”
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Augmented arithmetic optimization algorithm using opposite-based learning and lévy flight distribution for global optimization and data clustering
Published 2022Subjects: “…Data clustering…”
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Correlation Clustering via s-Club Cluster Edge Deletion
Published 2023“…In this work, we implement three approaches to tackle the 2-club clustering via edge deletion: a heuristic approach based on the influence of the edge to resolve maximum conflicts, a parameterized algorithm in which by deleting a maximum of k edges, the graph can be transformed into a 2-club cluster based on a branching algorithm, and the approach in Integer Linear Programming to find the optimized solution in an integer formulation. …”
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masterThesis -
10
Clustering and Stochastic Simulation Optimization for Outpatient Chemotherapy Appointment Planning and Scheduling
Published 2022“…A Stochastic Discrete Simulation-Based Multi-Objective Optimization (SDSMO) model is developed and linked to clustering algorithms using an iterative sequential approach. …”
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Eye-Clustering: An Enhanced Centroids Prediction for K-means Algorithm
Published 2024“…Various clustering methods are available, including K-means, hierarchical clustering, and density-based clustering. …”
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masterThesis -
12
A new approach to record clustering for large databases. (c1997)
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masterThesis -
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Exploring the Impact of Explainable Artificial Intelligence on Decision-making in Healthcare
Published 2023“…The study analyses the benefits and limitations of applying XAI in healthcare decision-making processes through an exhaustive analysis of current literature and empirical data. …”
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15
A cluster-based model for QoS-OLSR protocol
Published 2017“…These objectives can be reached by deploying the clustering concept to QOLSR. Therefore, we propose a novel clustering algorithm and a relay node selection based on different combinations of metrics, such as connectivity, residual energy, and bandwidth. …”
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conferenceObject -
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A Data-Driven Decision-Making Framework for Fleet Management in the Government Sector of Dubai
Published 2024“…My research aims to develop a data-driven decision support framework for fleet management, focusing on leveraging advanced algorithms, including decision trees and random forests, to generate domain-specific AI models. …”
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A clustering metaheuristic for large orienteering problems
Published 2022“…Motivated by these limitations, we propose a multi-stage clustering-based metaheuristic for tackling large Orienteering Problems in an effective, strategically controlled amount of computation time. …”
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Fault detection and classification in hybrid energy-based multi-area grid-connected microgrid clusters using discrete wavelet transform with deep neural networks
Published 2024“…With this intent, this work proposes a “Discrete Wavelet Transform with Deep Neural Network (DWT-DNN)” for detecting and classifying the various faults that occurred in hybrid energy-based multi-area grid-connected microgrid clusters. …”
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General applicability of genetic and simulated annealing algorithms for data mapping
Published 1995“…We experimentally analyze the general applicability of genetic algorithms (GA) and simulated annealing algorithms (SA) for mapping data to multicomputers. …”
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conferenceObject