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161
Eye-Clustering: An Enhanced Centroids Prediction for K-means Algorithm
Published 2024“…Hundreds of such labeled graphs were used to train the model to predict the location of centroids. …”
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masterThesis -
162
Metaheuristic algorithm for testing web 2.0 applications. (c2012)
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masterThesis -
163
Natural optimization algorithms for the cross-dock door assignment problem
Published 2016“…A lot of research has been conducted regarding this topic; still, up to our knowledge, none used scatter search (SS). This paper modifies a classical mathematical model that represents the CDAP and implements an evolutionary metaheuristic SS algorithm and tests it and then compares the results with those of another evolutionary algorithm, i.e., genetic algorithm (GA). …”
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164
Physical optimization algorithms for mapping data to distributed-memory multiprocessors
Published 1992“…It allows large-scale mapping to become efficient, especially when the physical optimization algorithms are used.…”
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masterThesis -
165
Efficient Dynamic Cost Scheduling Algorithm for Data Batch Processing
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doctoralThesis -
166
An Intensive and Comprehensive Overview of JAYA Algorithm, its Versions and Applications
Published 2021“…Initially, the optimization model and convergence characteristics of JAYA algorithm are carefully analyzed. …”
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167
A Parallel Neural Networks Algorithm for the Clique Partitioning Problem
Published 2002“…In this paper we present a parallel algorithm to solve the above problem for arbitrary graphs using a Hopfield Neural Network model of computation. …”
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168
Interval-Valued SVM Based ABO for Fault Detection and Diagnosis of Wind Energy Conversion Systems
Published 2022“…The proposed improved ABO method consists in reducing the number of samples in the training data set using the Euclidean distance and extracting the most significant features from the reduced data using ABO algorithm. …”
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169
TIDCS: A Dynamic Intrusion Detection and Classification System Based Feature Selection
Published 2020“…The final classification decision for both models is estimated by incorporating the node's past behavior with the machine learning algorithm. …”
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170
A Tabu Search Algorithm For Maintenance Scheduling Of Generating Units
Published 2020“…The algorithm was developed, implemented and tested on an integrated model for the MS problem. …”
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171
A Tabu Search Algorithm For Maintenance Scheduling Of Generating Units
Published 2020“…The algorithm was developed, implemented and tested on an integrated model for the MS problem. …”
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172
An evolutionary algorithm for solving the geometrically constrained site layout problem
Published 2017“…The layout problem considered in this paper is a static layout problem characterized by affinity weights used to model transportation costs between facilities and by geometric constraints between relative positions of facilities on site. …”
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conferenceObject -
173
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174
Assessment of static pile design methods and non-linear analysis of pile driving
Published 2006“…The pile/soil interaction system is described by a mass/spring/dashpot system where the properties of each component are derived from rigorous analytical solutions or finite element analysis. The outcome of this research is an algorithm that can be used to predict pile displacement and driving stresses. …”
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masterThesis -
175
Design Optimization of Inductive Power Transfer Systems Considering Bifurcation and Equivalent AC Resistance for Spiral Coils
Published 2020“…Equivalent AC resistance of spiral coils is modeled based on eddy currents simulations using Finite Element Method (FEM) and Maxwell simulator. …”
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176
Leveraging Machine and Deep Learning Algorithms for hERG Blocker Prediction
Published 2025“…The current study utilises state-of-the-art ML and DL models for predicting the hERG-blocking ability of chemical compounds using a dataset of 8337 molecules. …”
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177
Parameter Identification of Flexible Drive Systems using Particle Swarm Optimization
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doctoralThesis -
178
A method for optimizing test bus assignment and sizing for system-on-a-chip
Published 2017“…Test access mechanism (TAM) is an important element of test access architectures for embedded cores and is responsible for on-chip test patterns transport from the source to the core under test to the sink. …”
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conferenceObject -
179
Wild Blueberry Harvesting Losses Predicted with Selective Machine Learning Algorithms
Published 2022“…The outcomes revealed that these ML algorithms can be useful in predicting ground losses during wild blueberry harvesting in the selected fields.…”
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180
Efficient heuristic algorithms for influence propagation in social networks. (c2018)
Published 2018“…Then we introduce the notion of an influence propagation function and use it to design an efficient algorithm across all types of networks. …”
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masterThesis