Zobrazeno 1 - 10
of 36
pro vyhledávání: '"Michael J. Hirsch"'
Autor:
Patrick Guilbaud, Michael J. Hirsch
Publikováno v:
Adaptive Instructional Systems ISBN: 9783031058868
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::30c0f8b85387592f0175789e9a2c6bbb
https://doi.org/10.1007/978-3-031-05887-5_12
https://doi.org/10.1007/978-3-031-05887-5_12
Publikováno v:
Virtual, Augmented and Mixed Reality: Design and Development ISBN: 9783031059384
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::6673f7a25f533d5bf5679edfae4d67f2
https://doi.org/10.1007/978-3-031-05939-1_29
https://doi.org/10.1007/978-3-031-05939-1_29
Autor:
James A. Crowder, Michael J. Hirsch
Publikováno v:
Explainable AI and Other Applications of Fuzzy Techniques ISBN: 9783030820985
NAFIPS
NAFIPS
The fusion of feature data has the ability to greatly aid the task of data classification. However, in most situations, some features are better suited to aid in the classification then others. In this research, we utilize a model-free reinforcement
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::2243553865f86a26bff4b314466acf87
https://doi.org/10.1007/978-3-030-82099-2_14
https://doi.org/10.1007/978-3-030-82099-2_14
Autor:
Michael J. Hirsch-Meillon, Mario Ramírez-Flores, Martha A. Mendoza-Hernandez, Sergio A Zaizar-Fregoso, Luz M. Baltazar-Rodriguez, Iram P. Rodriguez-Sanchez, José Guzmán-Esquivel, Carlos E Barajas-Saucedo, Gustavo Gaytan-Sandoval, Eduardo J. Danielewicz-Mata, Emilio Prieto-Díaz-Chávez, Efrén Murillo-Zamora, Hannah P. Guzman-Solorzano, Fabian Rojas-Larios, Francisco Espinoza-Gómez, Enrique Barrios-Navarro, Valery Melnikov, Laydi Gutierrez-Gutierrez, Pablo J. Mandujano-Diaz, Alejandra E. Hernandez-Rangel, Hector R Galvan-Salazar, Karen A Mokay-Ramírez, Marina Delgado-Machuca, Juan Paz-Garcia, Rodrigo Lopez-Flores, Idalia Garza-Veloz, Fidadelfo Gonzalez-Alcaraz, Jose A. Toscano-Velazquez, Jesus M. Jimenez-Villegaz, Margarita L Martinez-Fierro, Brenda Paz-Michel, Patricia Montes-Diaz, Carlos R. Martinez-Perez, Daniel A. Montes-Galindo, Henry Perez-Martinez, Daniel Tiburcio-Jimenez, Luciano Diaz-Lopez, Carmen Meza-Robles, Ivan Delgado-Enciso, Mireya Walle-Guillen, Osiris G Delgado-Enciso, Josuel Delgado-Enciso, Vladimir Oviedo-Rodriguez, Ariana Cabrera-Licona
Publikováno v:
Experimental and Therapeutic Medicine
Research Square
article-version (status) pre
article-version (number) 1
Research Square
article-version (status) pre
article-version (number) 1
Background: Coronavirus disease (COVID-19) is currently the main public health problem worldwide. The administration of neutral electrolyzed saline, a solution that contains reactive species of chlorine and oxygen (ROS), may be an effective therapeut
Publikováno v:
Transactions on Computational Science and Computational Intelligence ISBN: 9783030702953
Artificial feelings and emotions are beginning to play an increasingly important role as mechanisms for facilitating learning in intelligent systems. What is presented here is the theory and architecture for an artificial nervous/limbic system for ar
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::7e3d19968707115cfa98c83d7ba2544f
https://doi.org/10.1007/978-3-030-70296-0_36
https://doi.org/10.1007/978-3-030-70296-0_36
Autor:
Azar Sadeghnejad, Michael J. Hirsch
Publikováno v:
Advances in Science, Technology and Engineering Systems, Vol 3, Iss 4, Pp 327-340 (2018)
In this research we address the problem of routing information across dynamic temporal sensor networks. The goal is to determine which information, generated by sensors on resources at various times, is able to be routed to other resources, consumer
Publikováno v:
International Transactions in Operational Research. 24:993-1022
A general modeling framework for realistic performance evaluations of tactical mobile ad-hoc networks deployed in mountainous areas is presented. The framework is easily extensible, and can be eventually automated. It can be also used to generate dat
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::713611401c57606b7a6fc451acd65218
https://cronfa.swan.ac.uk/Record/cronfa45952/Download/0045952-06122018135616.pdf
https://cronfa.swan.ac.uk/Record/cronfa45952/Download/0045952-06122018135616.pdf
Autor:
Fernando Stefanello, Mauricio G. C. Resende, Marcus Ritt, Tania Querido, Michael J. Hirsch, Luciana S. Buriol, Panos M. Pardalos
Publikováno v:
Annals of Operations Research. 249:119-139
Population growth and the massive production of automotive vehicles have lead to the increase of traffic congestion problems. Traffic congestion today is not limited to large metropolitan areas, but is observed even in medium-sized cities and highway