Search Results - "CARLI, Luciano"
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Advances in Classification and Compression of Power Quality Signals
Published in Journal of control, automation & electrical systems (15-06-2019)“…This research intends to contribute with improvements in the main steps usually implemented for an automatic monitoring of disturbances in the power quality…”
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Expression of glyoxalase I and II in normal and breast cancer tissues
Published in Breast cancer research and treatment (01-03-2001)“…The present work aimed to study the activities of glyoxalase system enzymes, glyoxalase I (G I) and glyoxalase II (G II), as well as the expression of their…”
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Authors' reply to: "Regional anesthesia techniques for awake radical mastectomies"
Published in Minerva anestesiologica (01-07-2023)Get full text
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Efficient Neurofuzzy Model to Very Short-Term Load Forecasting
Published in Revista IEEE América Latina (01-02-2016)“…Since adaptive neurofuzzy inference systems are universal approximators that can be used in prediction applications, this study aims to determine the best…”
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Combined PECs II block with parasternal block for awake radical mastectomy
Published in Minerva anestesiologica (01-12-2022)Get full text
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PECS block with sedation for breast surgery without general anesthesia
Published in Minerva anestesiologica (01-05-2023)Get full text
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Adaptive threshold for segmentation of combined Power Quality disturbances
Published in 2015 IEEE Eindhoven PowerTech (01-06-2015)“…This paper proposes a method based on Wavelet Transform to determine an adaptive threshold to be used in the segmentation of combined disturbances related to…”
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Conference Proceeding -
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Third national surgical consensus conference of the Italian Association of Breast Surgeons (ANISC) on management after neoadjuvant chemotherapy: The difficulty in reaching a consensus
Published in European journal of surgical oncology (01-07-2024)“…Neoadjuvant chemotherapy (NAC) has a profound impact on surgical management of breast cancer. For this reason, the Italian Association of Breast Surgeons…”
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Pectoral nerve block II with programmed intermittent bolus of local anesthetic and postoperative pain relief in breast surgery
Published in Minerva anestesiologica (01-02-2019)Get full text
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The difficult challenge of postoperative pain management in heroin addicted patients undergoing breast cancer surgery
Published in Minerva anestesiologica (01-09-2021)Get full text
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Analysis of Wavelet Transform applied to the segmentation of disturbance signals with different sampling rates
Published in 2014 IEEE PES General Meeting | Conference & Exposition (01-07-2014)“…The segmentation of disturbance signals obtained by power quality meters at distribution substations represents a complex task due to the difficult to…”
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Conference Proceeding -
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Very Short-Term Load Forecasting Using a Hybrid Neuro-fuzzy Approach
Published in 2010 Eleventh Brazilian Symposium on Neural Networks (01-10-2010)“…The purpose of this work is to employ the Adaptive Neuro Fuzzy Inference System for performing very short-term load forecasting in power distribution…”
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Conference Proceeding -
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Very short-term load forecasting based on NARX recurrent neural networks
Published in 2014 IEEE PES General Meeting | Conference & Exposition (01-07-2014)“…Time series forecasting is an important task in various fields of science, like economy, engineering and other areas that use historical data to predict future…”
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Conference Proceeding -
14
Power quality disturbances segmentation based on wavelet decomposition and adaptive thresholds
Published in 2014 16th International Conference on Harmonics and Quality of Power (ICHQP) (01-05-2014)“…This paper proposes an automatic method for determining an adaptive threshold based on Wavelet decomposition, which allows the segmentation of power quality…”
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15
Very Short-Term Load Forecasting Based on ARIMA Model and Intelligent Systems
Published in 2009 15th International Conference on Intelligent System Applications to Power Systems (01-11-2009)“…The main purpose of this paper is to achieve a comparative analysis among autoregressive integrated moving average model, artificial neural networks and…”
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Conference Proceeding