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Application of an artificial neural network in the use of physicochemical properties as a low cost proxy of power transformers DGA data

IEEE transactions on dielectrics and electrical insulation, 2012-02, Vol.19 (1), p.239-246

2012

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Optimizing methodologies of hybrid renewable energy systems powered reverse osmosis plants

Renewable & sustainable energy reviews, 2023-08, Vol.182, p.113377, Article 113377

2023

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Induction of Decision Trees to Diagnose Incipient Faults in Power Transformers

IEEE transactions on dielectrics and electrical insulation, 2022-02, Vol.29 (1), p.279-286

2022

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Improving solar forecasting using Deep Learning and Portfolio Theory integration

Energy (Oxford), 2020-03, Vol.195, p.117016, Article 117016

2020

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Simple Tuning Rules for Dead-Time Compensation of Stable, Integrative, and Unstable First-Order Dead-Time Processes

Industrial & engineering chemistry research, 2013-08, Vol.52 (33), p.11646-11654

2013

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A Self-Adaptive Multikernel Machine Based on Recursive Least-Squares Applied to Very Short-Term Wind Power Forecasting

IEEE access, 2021, Vol.9, p.104761-104772

2021

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Nonlinear Identification of a Robotic Arm Using Machine Learning Techniques

New Knowledge in Information Systems and Technologies, 2019, Vol.931, p.492-501

2019

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Prediction of core losses on a three-phase transformer using neural networks

2011 IEEE International Symposium of Circuits and Systems (ISCAS), 2011, p.1105-1108

2011

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A topological reinforcement learning agent for navigation

Neural computing & applications, 2003-12, Vol.12 (3-4), p.220-236

2003

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A neural adaptative step size method for maximum power point tracking in low power wind turbine systems

2015 IEEE 13th Brazilian Power Electronics Conference and 1st Southern Power Electronics Conference (COBEP/SPEC), 2015, p.1-6

2015

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A vehicle classification based on inductive loop detectors using artificial neural networks

2010 9th IEEE/IAS International Conference on Industry Applications - INDUSCON 2010, 2010, p.1-6

2010

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Goal-directed reinforcement learning using variable learning rate

Lecture notes in computer science, 1998, p.131-140

1998

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Artificial Neural Network Application in Estimation of Dissolved Gases in Insulating Mineral Oil from Physical-Chemical Datas for Incipient Fault Diagnosis

2009 15th International Conference on Intelligent System Applications to Power Systems, 2009, p.1-5

2009

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A strategy for induction motor stator flux estimation using neural networks

2007 International Conference on Electrical Machines and Systems (ICEMS), 2007, p.1923-1927

2007

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Application of an artificial neural network in the use of physicochemical properties as a low cost proxy of power transformers DGA data

Optimizing methodologies of hybrid renewable energy systems powered reverse osmosis plants

Induction of Decision Trees to Diagnose Incipient Faults in Power Transformers

Improving solar forecasting using Deep Learning and Portfolio Theory integration

Simple Tuning Rules for Dead-Time Compensation of Stable, Integrative, and Unstable First-Order Dead-Time Processes

A Self-Adaptive Multikernel Machine Based on Recursive Least-Squares Applied to Very Short-Term Wind Power Forecasting

Nonlinear Identification of a Robotic Arm Using Machine Learning Techniques

Prediction of core losses on a three-phase transformer using neural networks

A topological reinforcement learning agent for navigation

A neural adaptative step size method for maximum power point tracking in low power wind turbine systems

A vehicle classification based on inductive loop detectors using artificial neural networks

Goal-directed reinforcement learning using variable learning rate

Artificial Neural Network Application in Estimation of Dissolved Gases in Insulating Mineral Oil from Physical-Chemical Datas for Incipient Fault Diagnosis

A strategy for induction motor stator flux estimation using neural networks

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