Search Results - "de Araujo, Ricardo A."
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Swarm-based translation-invariant morphological prediction method for financial time series forecasting
Published in Information sciences (15-12-2010)“…In this paper, we present a method to overcome the random walk (RW) dilemma for financial time series forecasting, called swarm-based translation-invariant…”
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Journal Article -
2
A morphological perceptron with gradient-based learning for Brazilian stock market forecasting
Published in Neural networks (01-04-2012)“…Several linear and non-linear techniques have been proposed to solve the stock market forecasting problem. However, a limitation arises from all these…”
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3
A class of hybrid multilayer perceptrons for software development effort estimation problems
Published in Expert systems with applications (30-12-2017)“…•A class of multilayer neural network with hybrid processing units.•A gradient-based learning process to design the proposed model.•An experimental analysis…”
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4
Evolutionary Learning Processes to Design the Dilation-Erosion Perceptron for Weather Forecasting
Published in Neural processing letters (01-06-2013)“…The weather forecasting is considered a rather difficult problem due to many complex features present in these time series. Several techniques have been…”
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Journal Article -
5
Hybrid intelligent methodology to design translation invariant morphological operators for Brazilian stock market prediction
Published in Neural networks (01-12-2010)“…This paper presents a hybrid intelligent methodology to design increasing translation invariant morphological operators applied to Brazilian stock market…”
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6
Nutritional performance, hepatic and renal function in goats fed diets containing detoxified castor cake at different stages of pregnancy
Published in Anais da Academia Brasileira de Ciências (01-01-2022)“…We evaluated the influence of the substitution of soybean meal by detoxified castor cake on performance, digestibility of nutrients, nitrogen balance, hepatic…”
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7
An evolutionary morphological approach for software development cost estimation
Published in Neural networks (01-08-2012)“…In this work we present an evolutionary morphological approach to solve the software development cost estimation (SDCE) problem. The proposed approach consists…”
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8
A Hybrid Intelligent Morphological Approach for Stock Market Forecasting
Published in Neural processing letters (01-06-2010)“…In this paper, a hybrid intelligent morphological approach is presented for stock market forecasting. It consists of a hybrid intelligent model composed of a…”
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Journal Article -
9
A class of hybrid morphological perceptrons with application in time series forecasting
Published in Knowledge-based systems (01-05-2011)“…In this work a class of hybrid morphological perceptrons, called dilation–erosion perceptron (DEP), is presented to overcome the random walk dilemma in the…”
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10
Dynamic monitoring of temporary protective grounding state in power system routines
Published in e-Prime (01-03-2024)“…•This work introduces a real-time temporary grounding monitoring system integrated with the supervisory system.•Effective monitoring of the active or inactive…”
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11
A hybrid model for high-frequency stock market forecasting
Published in Expert systems with applications (15-05-2015)“…•A model to overcome the random walk dilemma for high-frequency financial time series.•A gradient-based training algorithm with automatic time phase…”
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Journal Article -
12
An error correction system for sea surface temperature prediction
Published in Neural computing & applications (01-06-2023)“…One of the main indicators for detecting changes in climate and marine ecosystems around the world is the sea surface temperature (SST). Even with several…”
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13
SmartMesh technology used for real-time monitoring of temporary grounding connection state during maintenance routine in substations
Published in 2022 IEEE Power & Energy Society General Meeting (PESGM) (17-07-2022)“…Grounding techniques are essential for high voltage systems (HVS) workers. Thus, quite often, several grounding cables are necessary for maintenance tasks,…”
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Conference Proceeding -
14
On the Sea Surface Temperature Forecasting Problem with Deep Dilation-Erosion-Linear Models
Published in Big data research (28-05-2024)“…The sea surface temperature (SST) is considered an important measure for detecting changes in climate and marine ecosystems. So, its forecasting is essential…”
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15
Compact Solutions for Outdoor 138kV Substation Projects, using only Conventional Equipment
Published in 2023 IEEE Power & Energy Society General Meeting (PESGM) (16-07-2023)“…This paper describes the use of compaction techniques, applicable to projects of outdoor, air-insulated substations, rated voltage 138kV, 650kV BIL (Basic…”
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Conference Proceeding -
16
A prediction model for high-frequency financial time series
Published in 2015 International Joint Conference on Neural Networks (IJCNN) (01-07-2015)“…A wide number of sophisticated models have been proposed in the literature to solve prediction problems. However, a drawback arises in the particular case of…”
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Conference Proceeding Journal Article -
17
Overcoming the random walk dilemma using a Covariance Matrix Adaptation Evolutionary method
Published in 2010 IEEE International Conference on Systems, Man and Cybernetics (01-10-2010)“…This paper proposes the Covariance Matrix Adaptation based Evolutionary (CMAbE) methodology to overcome the random walk dilemma, characterized by one step…”
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Conference Proceeding -
18
Interaction Between Different Lightning Protection Models for Wind Turbine Blades Under a High-Intensity Electric Field
Published in 2022 IEEE Power & Energy Society General Meeting (PESGM) (17-07-2022)“…With the increasing power generation from the wind, safe operation is a constant concern for wind turbine engineering and manufacturers. Within this scenario…”
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Conference Proceeding -
19
An intelligent hybrid morphological-rank-linear method for financial time series prediction
Published in Neurocomputing (Amsterdam) (01-06-2009)“…In this paper the morphological-rank-linear time-lag added evolutionary forecasting (MRLTAEF) method is proposed in order to overcome the random walk dilemma…”
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Journal Article -
20
Hybrid differential evolutionary system for financial time series forecasting
Published in 2007 IEEE Congress on Evolutionary Computation (01-09-2007)“…This paper proposes a hybrid differential evolutionary system (HDES) for financial time series forecasting, which performs a differential evolutionary search…”
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Conference Proceeding