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Intelligent Rapidly-Exploring Random Tree Star Algorithm
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doctoralThesis -
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Distributed dimension reduction algorithms for widely dispersed data
Published 2002“…It is well known that information retrieval, clustering and visualization can often be improved by reducing the dimensionality of high dimensional data. …”
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Multi Self-Organizing Map (SOM) Pipeline Architecture for Multi-View Clustering
Published 2024“…<p dir="ltr">Clustering has proved to be a successful classification method when it comes to dealing with multiview data. …”
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Customs Trade Facilitation and Compliance for Ecommerce using Blockchain and Data Mining
Published 2021“…Additionally, the Cross Industry Standard Process for Data Mining (CRISP-DM) methodology is employed for modelling the two proposed clustering algorithms to identify transactional risks. …”
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Extended Behavioral Modeling of FET and Lattice-Mismatched HEMT Devices
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Diagnostic structure of visual robotic inundated systems with fuzzy clustering membership correlation
Published 2023“…A cluster node is connected in each clustered region and provides the central control center with the necessary data. …”
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Simple and effective neural-free soft-cluster embeddings for item cold-start recommendations
Published 2022“…Here we propose a two-stage algorithm based on soft clustering to provide an efficient solution to this problem. …”
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A depth-controlled and energy-efficient routing protocol for underwater wireless sensor networks
Published 2022Subjects: -
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Random Forest Bagging and X‐Means Clustered Antipattern Detection from SQL Query Log for Accessing Secure Mobile Data
Published 2021“…Then, for each pattern, various weak clusters are constructed via X‐means clustering and are utilized as the weak learner (clusters). …”
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Test case generation for path coverage. (c2000)
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masterThesis -
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Estimating Construction Project Duration Using a Machine Learning Algorithm
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A flexible genetic algorithm-fuzzy regression approach for forecasting: The case of bitumen consumption
Published 2019“…To show the applicability of the proposed approach, Iran’s bitumen consumption data in the period of 1991-2006 are used as a case study. Findings Production, import, export, road construction and price are considered as the input data used in the present study. …”
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On the complexity of multi-parameterized cluster editing
Published 2017“…In other words, Cluster Editing can be solved efficiently when the number of false positives/negatives per single data element is expected to be small compared to the minimum cluster size. …”
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A reduced model for phase-change problems with radiation using simplified PN approximations
Published 2025“…The integro-differential equation for the full radiative transfer is replaced by a set of differential equations which are independent of the angle variable and easy to solve using conventional computational methods. To solve the coupled equations, we implement a second-order implicit scheme for the time integration and a mixed finite element method for the space discretization. …”
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