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Juan A. Méndez
Juan Albino Méndez – Juan Albino Méndez Pérez
Person information
- affiliation: University of La Laguna, San Cristóbal de La Laguna, Canary Islands, Spain
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2020 – today
- 2023
- [j39]Javier Hernández-Aceituno
, Juan Albino Méndez Pérez
Towards intelligent supervision of operating rooms using stencil-based character recognition. Comput. Biol. Medicine 162: 107071 (2023) - [c29]Antonio Díaz-Longueira
Daily Accumulative Photovoltaic Energy Prediction Using Hybrid Intelligent Model. HAIS 2023: 577-588 - 2022
- [j38]Alberto Leira, Esteban Jove
One-Class-Based Intelligent Classifier for Detecting Anomalous Situations During the Anesthetic Process. Log. J. IGPL 30(2): 326-341 (2022) - [j37]Francisco Zayas-Gato
A distributed topology for identifying anomalies in an industrial environment. Neural Comput. Appl. 34(23): 20463-20476 (2022) - [c28]Víctor López
Intelligent Model Hotel Energy Demand Forecasting by Means of LSTM and GRU Neural Networks. DCAI (2) 2022: 79-88 - 2021
- [j36]Esteban Jove
Hybrid Intelligent Model to Predict the Remifentanil Infusion Rate in Patients Under General Anesthesia. Log. J. IGPL 29(2): 193-206 (2021) - [j35]Jose M. Gonzalez-Cava
Machine learning techniques for computer-based decision systems in the operating theatre: application to analgesia delivery. Log. J. IGPL 29(2): 236-250 (2021) - [j34]Esteban Jove
A hybrid intelligent classifier for anomaly detection. Neurocomputing 452: 498-507 (2021) - [j33]Esteban Jove
An intelligent system for harmonic distortions detection in wind generator power electronic devices. Neurocomputing 456: 609-621 (2021) - [j32]Esteban Jove
A new method for anomaly detection based on non-convex boundaries with random two-dimensional projections. Inf. Fusion 65: 50-57 (2021) - 2020
- [j31]Jose M. Gonzalez-Cava
Adaptive drug interaction model to predict depth of anesthesia in the operating room. Biomed. Signal Process. Control. 59: 101931 (2020) - [j30]Esteban Jove
Comparative Study of One-Class Based Anomaly Detection Techniques for a Bicomponent Mixing Machine Monitoring. Cybern. Syst. 51(7): 649-667 (2020) - [j29]Jose M. Gonzalez-Cava
Machine learning based method for the evaluation of the Analgesia Nociception Index in the assessment of general anesthesia. Comput. Biol. Medicine 118: 103645 (2020) - [j28]José Luís Casteleiro-Roca
Lithium iron phosphate power cell fault detection system based on hybrid intelligent system. Log. J. IGPL 28(1): 71-82 (2020) - [j27]Esteban Jove
Anomaly detection based on one-class intelligent techniques over a control level plant. Log. J. IGPL 28(4): 502-518 (2020) - [j26]José Luís Casteleiro-Roca
Electromyogram prediction during anesthesia by using a hybrid intelligent model. J. Ambient Intell. Humaniz. Comput. 11(11): 4467-4476 (2020) - [j25]Germán Carlos González Rodríguez
An intelligent decision support system for production planning based on machine learning. J. Intell. Manuf. 31(5): 1257-1273 (2020) - [j24]Francisco Javier de Cos Juez, Michal Wozniak
Special issue SOCO 2017: AI and ML applied to Health Sciences (MLHS). Neural Comput. Appl. 32(5): 1217-1218 (2020) - [j23]José Luís Casteleiro-Roca
Hybrid model for the ANI index prediction using Remifentanil drug and EMG signal. Neural Comput. Appl. 32(5): 1249-1258 (2020) - [c27]Esteban Jove
A Comparative Study to Detect Flowmeter Deviations Using One-Class Classifiers. CISIS 2020: 66-75 - [c26]Esteban Jove
A Hybrid One-Class Topology for Non-convex Sets. HAIS 2020: 341-349
2010 – 2019
- 2019
- [j22]Esteban Jove
A fault detection system based on unsupervised techniques for industrial control loops. Expert Syst. J. Knowl. Eng. 36(4) (2019) - [j21]Esteban Jove
Modelling the hypnotic patient response in general anaesthesia using intelligent models. Log. J. IGPL 27(2): 189-201 (2019) - [j20]Esteban Jove, José Luís Casteleiro-Roca, Héctor Quintián, Juan Albino Méndez Pérez, José Luís Calvo-Rolle:
Virtual Sensor for Fault Detection, Isolation and Data Recovery for Bicomponent Mixing Machine Monitoring. Informatica 30(4): 671-687 (2019) - [j19]José Luís Casteleiro-Roca, Juan Albino Méndez Pérez, Andrés José Piñón Pazos, José Luís Calvo-Rolle, Emilio Corchado:
Intelligent Model for Electromyogram (EMG) Signal Prediction During Anesthesia. J. Multiple Valued Log. Soft Comput. 32(3-4): 205-220 (2019) - [j18]José Luís Casteleiro-Roca
Short-Term Energy Demand Forecast in Hotels Using Hybrid Intelligent Modeling. Sensors 19(11): 2485 (2019) - [c25]Esteban Jove
Anomaly Detection on Patients Undergoing General Anesthesia. CISIS-ICEUTE 2019: 141-152 - [c24]Esteban Jove
A Global Classifier Implementation for Detecting Anomalies by Using One-Class Techniques over a Laboratory Plant. DCAI (Special Sessions) 2019: 149-160 - [c23]Jose M. Gonzalez-Cava
Inferring Knowledge from Clinical Data for Anesthesia Automation. HAIS 2019: 480-491 - [c22]Esteban Jove
Anomaly Detection Over an Ultrasonic Sensor in an Industrial Plant. HAIS 2019: 492-503 - [c21]Esteban Jove
Outlier Generation and Anomaly Detection Based on Intelligent One-Class Techniques over a Bicomponent Mixing System. SOCO 2019: 399-410 - 2018
- [j17]Juan Albino Méndez, Ana León, Ayoze Marrero, Jose M. Gonzalez-Cava
Improving the anesthetic process by a fuzzy rule based medical decision system. Artif. Intell. Medicine 84: 159-170 (2018) - [j16]Jose M. Gonzalez-Cava
A Novel Fuzzy Algorithm to Introduce New Variables in the Drug Supply Decision-Making Process in Medicine. Complex. 2018: 9012720:1-9012720:15 (2018) - [c20]Esteban Jove
Remifentanil Dose Prediction for Patients During General Anesthesia. HAIS 2018: 537-546 - [c19]José Luís Casteleiro-Roca
Prediction of the Energy Demand of a Hotel Using an Artificial Intelligence-Based Model. HAIS 2018: 586-596 - [c18]Esteban Jove
A New Approach for System Malfunctioning over an Industrial System Control Loop Based on Unsupervised Techniques. SOCO-CISIS-ICEUTE 2018: 415-425 - 2017
- [j15]José Luís Casteleiro-Roca
Power Cell SOC Modelling for Intelligent Virtual Sensor Implementation. J. Sensors 2017: 9640546:1-9640546:10 (2017) - [j14]José Luís Casteleiro-Roca
Hybrid Intelligent System to Perform Fault Detection on BIS Sensor During Surgeries. Sensors 17(1): 179 (2017) - [c17]Germán Carlos González Rodríguez, Juan Albino Méndez, Belén Melián-Batista, Jose M. Gonzalez-Cava
A Fuzzy Modelling Approach to Laundry Industry. EUSFLAT/IWIFSGN (2) 2017: 154-164 - [c16]Jose M. Gonzalez-Cava
A Machine Learning Based System for Analgesic Drug Delivery. SOCO-CISIS-ICEUTE 2017: 461-470 - [c15]Esteban Jove
An Intelligent Model to Predict ANI in Patients Undergoing General Anesthesia. SOCO-CISIS-ICEUTE 2017: 492-501 - 2016
- [j13]Isabel Mateos-Garcia, Juan Albino Méndez Pérez
Adaptive pharmacokinetic and pharmacodynamic modelling to predict propofol effect using BIS-guided anesthesia. Comput. Biol. Medicine 75: 173-180 (2016) - [c14]José Luís Casteleiro-Roca
An Intelligent Model for Bispectral Index (BIS) in Patients Undergoing General Anesthesia. SOCO-CISIS-ICEUTE 2016: 290-300 - 2015
- [c13]José Luís Casteleiro-Roca
Modeling the Electromyogram (EMG) of Patients Undergoing Anesthesia During Surgery. SOCO 2015: 273-283 - 2013
- [j12]Juan A. Méndez
A control system proposal for engineering education. Comput. Educ. 68: 266-274 (2013) - [c12]Ayoze Marrero, Juan A. Méndez
ACLAC: An approach for adaptive closed-loop anesthesia control. CBMS 2013: 285-290 - [c11]Ayoze Marrero, Juan A. Méndez, Jose Antonio Reboso, Ana León:
Fuzzy logic for physiological modeling: application to the anesthetic process. IWBBIO 2013: 135-137 - 2011
- [j11]Juan Albino Méndez
Implementing Motivational Features in Reactive Blended Learning: Application to an Introductory Control Engineering Course. IEEE Trans. Educ. 54(4): 619-627 (2011) - 2010
- [j10]Juan A. Méndez
A reactive blended learning proposal for an introductory control engineering course. Comput. Educ. 54(4): 856-865 (2010) - [c10]Juan Albino Méndez
Predictive algorithm for intravenous anesthesia control. ICCA 2010: 1053-1058
2000 – 2009
- 2009
- [c9]Juan Albino Méndez
Model-based controller for anesthesia automation. CASE 2009: 379-384 - 2008
- [c8]Juan Albino Méndez
Dead-time compensation in intravenous anesthesia control. BIBE 2008: 1-5 - 2007
- [c7]Evelio J. González
Intelligent Agents and Apache Cocoon for a CV Generation System. AICCSA 2007: 9-15 - 2006
- [j9]Juan Albino Méndez
A web-based tool for control engineering teaching. Comput. Appl. Eng. Educ. 14(3): 178-187 (2006) - [j8]Leopoldo Acosta, Evelio J. González, J. N. Rodríguez, Alberto F. Hamilton, Juan Albino Méndez, Sergio Elias Hernández
Design and Implementation of a Service robot for a Restaurant. Int. J. Robotics Autom. 21(4) (2006) - [j7]Evelio J. González, Alberto F. Hamilton, Lorenzo Moreno Ruiz, Juan A. Méndez, José F. Sigut, Marta Sigut:
A System Generating CV through Intelligent Agents and Apache Cocoon. Informatica (Slovenia) 30(4): 453-460 (2006) - [c6]Santiago Torres Álvarez, Juan A. Méndez, Leopoldo Acosta, Victor M. Becerra
Efficient Control of Robot Manipulators with Model Disturbances. CDC 2006: 2931-2936 - [c5]Juan A. Méndez, Santiago Torres Álvarez, Leopoldo Acosta, Evelio J. González, Victor M. Becerra:
A new method for rejection of uncertainties in the tracking problem for robot manipulators. ICINCO-RA 2006: 474-477 - 2005
- [c4]Evelio J. González, Alberto F. Hamilton, Lorenzo Moreno Ruiz, Roberto L. Marichal, Juan A. Méndez, Vanesa Muñoz:
Looking for mascontrol: a multiagent system for identification and control. ICINCO 2005: 119-124 - 2003
- [j6]Leopoldo Acosta
Ping-pong player prototype. IEEE Robotics Autom. Mag. 10(4): 44-52 (2003) - 2001
- [j5]G. N. Marichal, Leopoldo Acosta
Obstacle avoidance for a mobile robot: A neuro-fuzzy approach. Fuzzy Sets Syst. 124(2): 171-179 (2001) - [c3]Leopoldo Acosta, Marta Sigut, Juan A. Méndez, Alberto F. Hamilton, G. N. Marichal, Lorenzo Moreno Ruiz:
Identifying the modes of the scale model corresponding to the Grantecan telescope's primary mirror. ACC 2001: 1661-1662 - 2000
- [j4]Leopoldo Acosta
Obstacle Avoidance Using the Human Operator Experience for a Mobile Robot. J. Intell. Robotic Syst. 27(4): 305-319 (2000) - [c2]Leopoldo Acosta, Marta Sigut, Juan A. Méndez, Alberto F. Hamilton, G. N. Marichal, Lorenzo Moreno:
Decoupling of the 10 m GranTeCan telescope's primary mirror dynamics and design of a controller for noise rejection. ACC 2000: 2108-2112
1990 – 1999
- 1999
- [j3]Leopoldo Acosta, G. N. Marichal, Lorenzo Moreno Ruiz, J. J. Rodrigo, Alberto F. Hamilton, Juan A. Méndez:
A robotic system based on neural network controllers. Artif. Intell. Eng. 13(4): 393-398 (1999) - [j2]Juan A. Méndez, Leopoldo Acosta, Lorenzo Moreno Ruiz, Santiago Torres Álvarez, G. N. Marichal:
An Application of a Neural Self-Tuning Controller to an Overhead Crane. Neural Comput. Appl. 8(2): 143-150 (1999) - [j1]Leopoldo Acosta, Juan A. Méndez, Santiago Torres Álvarez, Lorenzo Moreno Ruiz, G. N. Marichal:
On the Design and Implementation of a Neuromorphic Self-Tuning Controller. Neural Process. Lett. 9(3): 229-242 (1999) - 1998
- [c1]G. N. Marichal, Leopoldo Acosta, Lorenzo Moreno Ruiz, Alberto F. Hamilton, Juan A. Méndez:
An Approach to the Inverse Kinematics of a Redundant Planar Arm by Dynamic Neural Networks. NC 1998: 772-777
Coauthor Index
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