Zobrazeno 1 - 6
of 6
pro vyhledávání: '"Roberto Valencia Murillo"'
Autor:
Adolfo Flores-Saiffe Farias, Alejandro Chavez-Badiola, Gerardo Mendizabal-Ruiz, Roberto Valencia-Murillo, Andrew Drakeley, Jacques Cohen, Elizabeth Cardenas-Esparza
Publikováno v:
Scientific Reports, Vol 13, Iss 1, Pp 1-10 (2023)
Abstract The selection of the best single blastocyst for transfer is typically based on the assessment of the morphological characteristics of the zona pellucida (ZP), trophectoderm (TE), blastocoel (BC), and inner cell-mass (ICM), using subjective a
Externí odkaz:
https://doaj.org/article/d775223255aa4166a03242c5be1c92e4
Autor:
Roberto Valencia-Murillo, Carlos Villaseñor, Carlos Lopez-Franco, Nancy Arana-Daniel, Alma Y. Alanis
Publikováno v:
Intelligent Automation and Soft Computing. 24:461-467
Structure from Motion algorithms offer good advantages, such as extract 3D information in monocular systems and structures estimation as shown in Hartley & Zisserman for numerous applications, for instance; augmented reality, autonomous navigation, m
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::610e1ca9c7dd87a3585b5288d418ed10
https://doi.org/10.1080/10798587.2017.1299356
https://doi.org/10.1080/10798587.2017.1299356
Publikováno v:
Expert Systems with Applications. 183:115367
Glucose–insulin models, testing glucose sensors and support systems for health care decisions play an important role in synthesis of glucose control algorithms. In this work we propose an online glucose–insulin identification using the Recurrent
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::39dffaceb51c1594810640a9ec37d5b7
https://doi.org/10.1016/j.eswa.2021.115367
https://doi.org/10.1016/j.eswa.2021.115367
Autor:
Roberto Valencia-Murillo, Carlos Lopez-Franco, Nancy Arana-Daniel, Alma Y. Alanis, Carlos Villaseñor
Publikováno v:
Hybrid Intelligent Systems in Control, Pattern Recognition and Medicine ISBN: 9783030341343
Hybrid Intelligent Systems in Control, Pattern Recognition and Medicine
Hybrid Intelligent Systems in Control, Pattern Recognition and Medicine
Visualizing physical phenomena is a central tool for nowadays research. In particular, volumetric representations are a critical factor in the diagnosis of diseases and surgery planning. In the last years, rendering techniques have been essential for
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::fd090bb4a87a60dc1b59a245669314f0
https://doi.org/10.1007/978-3-030-34135-0_17
https://doi.org/10.1007/978-3-030-34135-0_17
Autor:
Carlos Lopez-Franco, Alma Y. Alanis, Nancy Arana-Daniel, Roberto Valencia-Murillo, Carlos Villaseñor
Publikováno v:
Advanced Path Planning for Mobile Entities
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::3884651b1535c824397bdebe52d07871
http://www.intechopen.com/articles/show/title/path-planning-in-rough-terrain-using-neural-network-memory
http://www.intechopen.com/articles/show/title/path-planning-in-rough-terrain-using-neural-network-memory
Publikováno v:
Proceedings of the 2nd International Conference on Advances in Computer Science and Engineering.
This paper presents the implementation of a non- linear geometric cost function to be used with a learning to search algorithm (LEARCH) to robot navigation in rough terrains. The non-linear function introduced is a neural network trained with geometr
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::5eb4613321340cb9ca88532c39e55281
https://doi.org/10.2991/cse.2013.69
https://doi.org/10.2991/cse.2013.69