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An Evolutionary Algorithm for Automatic Recommendation of Clustering Methods and its Parameters
(Elsevier, 2018-08)
One of the main problems being faced at the time of performing data clustering consists in the deteremination of the best clustering method together with defining the ideal amount (k) of groups in which these data should ...
A non-centralized predictive control strategy for wind farm active power control: A wake-based partitioning approach
(Pergamon-Elsevier Science Ltd, 2020-05)
Owing to wake effects, the power production of each turbine in a wind farm is highly coupled to the operating conditions of the other turbines. Wind farm control strategies must take into account these couplings and produce ...
An exact approach for the balanced k-way partitioning problem with weight constraints and its application to sports team realignment
(Springer, 2018-10)
In this work a balanced k-way partitioning problem with weight constraints is defined to model the sports team realignment. Sports teams must be partitioned into a fixed number of groups according to some regulations, where ...
Congruences satisfied by eta-quotients
(American Mathematical Society, 2021-03)
The values of the partition function, and more generally the Fourier coefficients of many modular forms, are known to satisfy certain congruences. Results given by Ahlgren and Ono for the partition function and by Treneer ...
Performance evaluation of single vs. batch of queries on GPUs
(John Wiley & Sons Ltd, 2019-08)
The WAND processing strategy is a dynamic pruning algorithm designed for large scale Web search engines where fast response to queries is a critical service. The WAND is used to reduce the amount of computation by scoring ...
Pair partitioning in time reversal acoustics
(Asociación Argentina de Mecánica Computacional, 2007-10)
Time reversal of acoustic waves can be achieved efficiently by the persistent control of excitations in a finite region of the system. The procedure, called Time Reversal Mirror, is stable against the inhomogeneities of ...
DPM: A novel distributed large-scale social graph processing framework for link prediction algorithms
(Elsevier Science, 2018-01)
Large-scale graphs have become ubiquitous in social media. Computer-based recommendations in these huge graphs pose challenges in terms of algorithm design and resource usage efficiency when processing recommendations in ...
Impact assessment of the rational selection of training and test sets on the predictive ability of QSAR models
(Taylor & Francis Ltd, 2017-12)
This study performed an analysis of the influence of the training and test set rational selection on the quality and predictively of the quantitative structure–activity relationship (QSAR) model. The study was carried out ...
A Statistical Inverse Method for Gridding Passive Microwave Data with Mixed Measurements
(Institute of Electrical and Electronics Engineers, 2018-09)
When a passive microwave footprint intersects objects on the ground with different spectral characteristics, the corresponding observation is mixed. The retrieval of geophysical parameters is limited by this mixture. We ...
Thermodynamics of the classical spin-ice model with nearest neighbour interactions using the Wang-Landau algorithm
(Springer, 2016-02)
In this article we study the classical nearest-neighbour spin-ice model (nnSI) by means of Monte Carlo simulations, using the Wang-Landau algorithm. The nnSI describes several of the salient features ofthe spin-ice materials. ...