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Manuel Pegalajar
Manuel Pegalajar
Verified email at decsai.ugr.es
Title
Cited by
Cited by
Year
An application of non-linear autoregressive neural networks to predict energy consumption in public buildings
LGB Ruiz, MP Cuéllar, MD Calvo-Flores, MDCP Jiménez
Energies 9 (9), 684, 2016
2732016
A survey on ontologies for human behavior recognition
ND Rodríguez, MP Cuéllar, J Lilius, MD Calvo-Flores
ACM Computing Surveys (CSUR) 46 (4), 1-33, 2014
2362014
Energy consumption forecasting based on Elman neural networks with evolutive optimization
LGB Ruiz, R Rueda, MP Cuéllar, MC Pegalajar
Expert Systems with Applications 92, 380-389, 2018
1992018
A fuzzy ontology for semantic modelling and recognition of human behaviour
ND Rodríguez, MP Cuéllar, J Lilius, MD Calvo-Flores
Knowledge-Based Systems 66, 46-60, 2014
1552014
Improving learning management through semantic web and social networks in e-learning environments
MP Cuéllar, M Delgado, MC Pegalajar
Expert systems with applications 38 (4), 4181-4189, 2011
802011
Multiobjective hybrid optimization and training of recurrent neural networks
M Delgado, MP Cuellar, MC Pegalajar
IEEE Transactions on Systems, Man, and Cybernetics, Part B (Cybernetics) 38 …, 2008
722008
Full-range optical pH sensor based on imaging techniques
S Capel-Cuevas, MP Cuéllar, I de Orbe-Payá, MC Pegalajar, ...
Analytica chimica acta 681 (1-2), 71-81, 2010
672010
Design and implementation of intelligent systems with LEGO Mindstorms for undergraduate computer engineers
MP Cuéllar, MC Pegalajar
Computer Applications in Engineering Education 22 (1), 153-166, 2014
612014
A common framework for information sharing in e-learning management systems
MP Cuéllar, M Delgado, MC Pegalajar
expert Systems with Applications 38 (3), 2260-2270, 2011
592011
Linguistic summarization of long-term trends for understanding change in human behavior
M Ros, M Pegalajar, M Delgado, A Vila, DT Anderson, JM Keller, ...
2011 IEEE International Conference on Fuzzy Systems (FUZZ-IEEE 2011), 2080-2087, 2011
572011
Full-range optical pH sensor array based on neural networks
S Capel-Cuevas, MP Cuéllar, I de Orbe-Payá, MC Pegalajar, ...
Microchemical Journal 97 (2), 225-233, 2011
562011
An application of non-linear programming to train recurrent neural networks in time series prediction problems
MP Cuéllar, M Delgado, MC Pegalajar
Enterprise information systems VII, 95-102, 2006
562006
Online recognition of human activities and adaptation to habit changes by means of learning automata and fuzzy temporal windows
M Ros, MP Cuéllar, M Delgado, A Vila
Information Sciences 220, 86-101, 2013
492013
Thermochromic sensor design based on Fe (II) spin crossover/polymers hybrid materials and artificial neural networks as a tool in modelling
MP Cuéllar, A Lapresta-Fernández, JM Herrera, A Salinas-Castillo, ...
Sensors and Actuators B: Chemical 208, 180-187, 2015
462015
Printed disposable colorimetric array for metal ion discrimination
M Ariza-Avidad, A Salinas-Castillo, MP Cuéllar, M Agudo-Acemel, ...
Analytical chemistry 86 (17), 8634-8641, 2014
422014
Particle tuning and modulation of the magnetic/colour synergy in Fe(ii) spin crossover-polymer nanocomposites in a thermochromic sensor array
A Lapresta-Fernández, MP Cuéllar, JM Herrera, E Colacio, ...
Journal of Materials Chemistry C 2 (35), 401-414, 2014
402014
Handling real-world context awareness, uncertainty and vagueness in real-time human activity tracking and recognition with a fuzzy ontology-based hybrid method
N Díaz-Rodríguez, OL Cadahía, MP Cuéllar, J Lilius, MD Calvo-Flores
Sensors 14 (10), 18131-18171, 2014
372014
Understanding movement and interaction: an ontology for Kinect-based 3D depth sensors
N Díaz Rodríguez, R Wikström, J Lilius, MP Cuéllar, ...
Ubiquitous Computing and Ambient Intelligence. Context-Awareness and Context …, 2013
352013
Feasibility of the use of disposable optical tongue based on neural networks for heavy metal identification and determination
M Ariza-Avidad, MP Cuellar, A Salinas-Castillo, MC Pegalajar, J Vuković, ...
Analytica Chimica Acta 783, 56-64, 2013
342013
Memetic evolutionary training for recurrent neural networks: an application to time‐series prediction
M Delgado, MC Pegalajar, MP Cuéllar
Expert Systems 23 (2), 99-115, 2006
312006
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