( en | de | ru )

 

Disambiguation of "Pérez, Juan Albino Méndez"

Author of the publication

copydeleteadd this publication to your clipboard
An Intelligent Model for Bispectral Index (BIS) in Patients Undergoing General Anesthesia.

, , , , , and . SOCO-CISIS-ICEUTE, volume 527 of Advances in Intelligent Systems and Computing, page 290-300. (2016)

Please choose a person to relate this publication to

To differ between persons with the same name, the academic degree and the title of an important publication will be displayed. You can also use the button next to the name to display some publications already assigned to the person.

Juan Puerta-Pérez

Juan Carlos Torrico Albino

Sofia Méndez

Juan Perez Ponce

Juan Perez Ponce

 

Other publications of authors with the same name

Modeling the Electromyogram (EMG) of Patients Undergoing Anesthesia During Surgery., , , , and . SOCO, volume 368 of Advances in Intelligent Systems and Computing, page 273-283. Springer, (2015)Remifentanil Dose Prediction for Patients During General Anesthesia., , , , , , , , , and . HAIS, volume 10870 of Lecture Notes in Computer Science, page 537-546. Springer, (2018)Intelligent Model for Electromyogram (EMG) Signal Prediction During Anesthesia., , , , and . J. Multiple Valued Log. Soft Comput., 32 (3-4): 205-220 (2019)An Intelligent Model for Bispectral Index (BIS) in Patients Undergoing General Anesthesia., , , , , and . SOCO-CISIS-ICEUTE, volume 527 of Advances in Intelligent Systems and Computing, page 290-300. (2016)Prediction of the Energy Demand of a Hotel Using an Artificial Intelligence-Based Model., , , , , , , , , and . HAIS, volume 10870 of Lecture Notes in Computer Science, page 586-596. Springer, (2018)Intelligent Model Hotel Energy Demand Forecasting by Means of LSTM and GRU Neural Networks., , , , and . DCAI (2), volume 585 of Lecture Notes in Networks and Systems, page 79-88. Springer, (2022)A hybrid intelligent classifier for anomaly detection., , , , , and . Neurocomputing, (2021)One-Class-Based Intelligent Classifier for Detecting Anomalous Situations During the Anesthetic Process., , , , , , , , , and . Log. J. IGPL, 30 (2): 326-341 (2022)Inferring Knowledge from Clinical Data for Anesthesia Automation., , , , , , , and . HAIS, volume 11734 of Lecture Notes in Computer Science, page 480-491. Springer, (2019)A Machine Learning Based System for Analgesic Drug Delivery., , , , , , , , and . SOCO-CISIS-ICEUTE, volume 649 of Advances in Intelligent Systems and Computing, page 461-470. Springer, (2017)