J. Alvaro Fernandez Muñoz, PhD

2023

M. Massiris, J. Bajo, S. Martínez-Vargas, J. A. Fernández y C. A. Delrieux (2023): Vision-based ergonomic risk estimation: Deep-learning strategies, en V. E. Balas, L. C. Jain, M. M. Balas y D. Baleanu (eds.), Soft Computing Applications, Advances in Intelligent Systems and Computing, vol. 1438, pp. 581–589, Springer, Cham, Suiza. ISBN: 978-3-031-23635-8. [PDF]

[DOI:10.1007/978-3-031-23636-5_46]

2019

F. L. S. Thomsen, C. A. Delrieux y J. A. Fernández (2019): Evaluation of directed secant methods in 2D, en 2019 XVIII Workshop on Information Processing and Control (RPIC) Proc., pp. 277–282, Institute of Electrical and Electronics Engineers, Piscataway, EE.UU. ISBN: 978-1-7281-2363-9.

[DOI:10.1109/RPIC.2019.8882146]

2017

M. D. Moreno y J. A. Fernández (2017): Vision-based protective devices, en N. Dey, A. Ashour y P. Patra (eds.), Feature Detectors and Motion Detection in Video Processing, pp. 187–214, IGI Global, Hershey, EE.UU. ISBN: 978-1-5225-1025-3.

[DOI:10.4018/978-1-5225-1025-3.ch009]

2014

J. A. Fernández y M. D. Moreno (2014): A block size optimization algorithm for parallel image processing, en S. Battiato y J. Braz (eds.), 9th Intl. Conf. Computer Vision and Applications VISAPP Proc., vol. 1, pp. 138–144, Institute of Electrical and Electronics Engineers, Piscataway, EE.UU. ISBN: 978-9-8975-8133-5. 

[DOI:10.5220/0004695001380144]

[IEEE DOC 7294798]

2013

J. Lozano, M. C. Horrillo, F. J. Álvarez, J. A. Fernández, J. I. Suárez, P. Arroyo, M. D. Moreno y J. A. Paredes (eds.) (2013): Actas Workshop en Microsistemas y Nanotecnología IBERNAM 2013, Badajoz, España. ISBN: 978-84-616-6967-7.

J. A. Paredes, T. Aguilera, F. J. Álvarez, J. A. Fernández y J. Morera (2013): New pseudo-orthogonal family of polyphase codes to improve Doppler resilience, en 2013 Intl. Conf. Indoor Positioning and Indoor Navigation IPIN Proc., pp. 97–104, Institute of Electrical and Electronics Engineers, Piscataway, EE.UU. ISBN: 978-1-4799-4043-1.

[DOI:10.1109/IPIN.2013.6817851]

2010

F. J. Álvarez, T. Aguilera, J. A. Fernández, J. A. Moreno y A. Gordillo (2010): Analysis of the performance of an ultrasonic local positioning system based on the emission of Kasami codes, en R. Mautz, M. Kunz y H. Ingensand (eds.), 2010 Intl. Conf. Indoor Positioning and Indoor Navigation IPIN Proc., pp. 51–55, Institute of Electrical and Electronics Engineers, Piscataway, EE.UU. ISBN: 978-1-4244-5864-6.

[DOI:10.1109/IPIN.2010.5648230]

2009

J. A. Fernández (2009): Advanced Cellular Neural Networks image processing, en J. R. Rabuñal, J. Dorado y A. Pazos (eds.), Encyclopedia of Artificial Intelligence, pp. 45-50, Information Science Reference, Hershey / Nueva York, EE.UU. ISBN: 978-1-59904-849-9.

[DOI:10.4018/978-1-59904-849-9.ch007]

J. A. Fernández (2009): Basic Cellular Neural Networks image processing, en J. R. Rabuñal, J. Dorado y A. Pazos (eds.), Encyclopedia of Artificial Intelligence, pp. 218-222, Information Science Reference, Hershey / Nueva York, EE.UU. ISBN: 978-1-59904-849-9.

[DOI:10.4018/978-1-59904-849-9.ch034]

2006

J. A. Fernández, V. M. Preciado y M. A. Jaramillo (2006): Nonlinear mappings with Cellular Neural Networks, en R. Marín, E. Onaindía, A. Bugarín y J. Santos (eds.), Current Topics in Artificial Intelligence, Lecture Notes in Computer Science, vol. 4177, pp. 350-359, Springer, Berlín / Heidelberg, Alemania. ISBN: 978-3-540-45914-9.

[DOI:10.1007/11881216_37]

2001

M. A. Jaramillo, J. A. Fernández, J. M. Montanero y F. Zayas (2001): Image quality enhancement for liquid bridge parameter estimation with DTCNN, en J. Mira y A. Prieto (eds.), Bio-Inspired Applications of Connectionism, Lecture Notes in Computer Science, vol. 2085, pp. 246-253, Springer, Berlín / Heidelberg, Alemania. ISBN: 978-3-540-42237-2.

[DOI:10.1007/3-540-45723-2_29]

1999

M. A. Jaramillo y J. A. Fernández (1999): Applications of Cellular Neural Networks (CNN) to grey scale image filtering, en 9th Intl. Conf. on Artificial Neural Networks Proc., vol. 470, pp. 449-454, Institute of Electrical Engineers, Londres, Reino Unido. ISBN: 0-85296-721-7. [PDF]

[DOI:10.1049/cp:19991150]

M. A. Jaramillo y J. A. Fernández (1999): Adaptive adjustment of the CNN output function to obtain contrast enhancement, en J. Mira y J. V. Sánchez-Andrés (eds.), Engineering Applications of Bio-Inspired Artificial Neural Networks, Lecture Notes in Computer Science, vol. 1607, pp. 412-421, Springer, Berlín / Heidelberg, Alemania. ISBN: 978-3-540-66068-2.

[DOI:10.1007/BFb0100508]