Zobrazeno 1 - 6
of 6
pro vyhledávání: '"Elias Werner"'
Publikováno v:
Revista UniVap, Vol 22, Iss 40 (2016)
Com a precarização do ensino imposta ao país, principalmente no que concerne a financiamentos do mesmo, os docentes encontram-se em posições delicadas sendo-lhes impostas extensas jornadas de trabalho em diferentes instituições para a manuten
Externí odkaz:
https://doaj.org/article/f7ba43479d99478d81826281b0bd184c
Autor:
Pedro Alves Bezerra Morais, Karolinni B. Britto, Evandro Messias, Peterson de Andrade, Elias Werner, Adilson Vidal Costa, Valdemar Lacerda, Christiano Jorge Gomes Pinheiro, Heberth de Paula, Warley de Souza Borges
Publikováno v:
Journal of Agricultural and Food Chemistry. 71:255-266
Concerned about weed infestation, a major threat to food production and herbicide resistance that interferes in the mechanism of action of the main herbicides, we have synthesized eight isatin derivatives using the "Click Chemistry" approach through
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::0ca86986b40fa993ea593f98023c7a97
https://doi.org/10.1021/acs.jafc.2c06500
https://doi.org/10.1021/acs.jafc.2c06500
Autor:
Elias Werner
Publikováno v:
Distributed Computing and Artificial Intelligence, Special Sessions, 19th International Conference ISBN: 9783031232091
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::944a1230e5f1970f84491b97ce9dc156
https://doi.org/10.1007/978-3-031-23210-7_17
https://doi.org/10.1007/978-3-031-23210-7_17
Publikováno v:
SSRN Electronic Journal.
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::67992a4648b1134af9934ec6d42de17f
https://doi.org/10.2139/ssrn.4131080
https://doi.org/10.2139/ssrn.4131080
Publikováno v:
AIMLSystems
In the last years, an increasing amount of available data has led to new application approaches and an application field that is now called data science (DS). Such applications often require low runtimes while having to deal with restricted compute r
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::0716b5b20a6536db77e90da08df46421
https://doi.org/10.1145/3486001.3486249
https://doi.org/10.1145/3486001.3486249
Publikováno v:
ITSC
Utilizing smartphone sensor data from crowdsen-sing (CS) campaigns for transportation planning (TP) requires highly reliable transport mode recognition. To address this, we present our RNN-based AI model MovDeep, which works on GPS, accelerometer, ma
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::c79766935ced6d29789c59b71bb71d30
https://doi.org/10.1109/itsc48978.2021.9564502
https://doi.org/10.1109/itsc48978.2021.9564502