Zobrazeno 1 - 9
of 9
pro vyhledávání: '"Adelson De Araujo"'
Publikováno v:
Computers and Education: Artificial Intelligence, Vol 4, Iss , Pp 100123- (2023)
Computer-Supported Collaborative Learning (CSCL) is known to be productive if well structured. In CSCL, students construct knowledge by performing learning tasks while communicating about their work. This communication is most often done through onli
Externí odkaz:
https://doaj.org/article/bea69ada44cc4510a695c6b7cd9e5162
Publikováno v:
CEC
Automated algorithm engineering has become an important asset for academia and industry. irace, for instance, is an algorithm configurator (AC) that has successfully designed effective algorithms for optimization problems. The major advantage of irac
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::529fc1d2747d5214dd6b9ba2acb89990
https://doi.org/10.1109/cec45853.2021.9504696
https://doi.org/10.1109/cec45853.2021.9504696
Autor:
Kleitianne Macedo, Jorge Pereira, Mathias Lima, Israel Garcia, Louis Arthur do Nascimento, Adelson de Araujo, Sara Santana, Frederico Lopes, Jose Alex de Medeiros, Alex Sandro Paiva, Douglas Rolim, Jemima Nascimento, Natanael Fernandes, Mariane Fernandes, Leandro Monteiro, Nelio Cacho, Thuanny Ramos
Publikováno v:
2020 IEEE International Smart Cities Conference (ISC2)
ISC2
ISC2
The coronavirus pandemic challenged smart cities to encourage citizens towards the social distance, as well as to optimize health and policing resources allocation. Mobile apps have played an unprecedented role during this pandemic to enable citizens
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::10b78dbede0bd089a00492ac937ecc2e
Autor:
Henrique Sales, Max William Filgueira, Nelio Cacho, Daniel Araújo, Samuel Amico Fidelis, Rivaldo Silva Junior, Adelson de Araujo, Frederico Lopes, Joao Marcos do Valle, I. R. A. Silva, Jaine Budke, Gabriel Fernandes de Souza
Publikováno v:
BigDataService
During a criminal investigation, the evidence collection process produces an enormous amount of data. These data are present in many medias that are extracted as crime evidences (USB flash drives, smartphones, hard drives, computers, etc). Due to thi
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::3c2cc883679338eafce08b9b9a68b0e7
https://doi.org/10.1109/bigdataservice49289.2020.00025
https://doi.org/10.1109/bigdataservice49289.2020.00025
Publikováno v:
KDIR
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::7446fcb5f526dfa6c47124cb49fa1dcc
https://doi.org/10.5220/0010155101100117
https://doi.org/10.5220/0010155101100117
Publikováno v:
2019 IEEE International Smart Cities Conference (ISC2)
ISC2
ISC2
Smart solutions that make use of machine learning and data analyses are on the rise. Big Data analysis is attracting more and more developers and researchers, and at least five requirements (Velocity, Volume, Value, Variety, and Veracity) show challe
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::50302be36a6f214334c1504ddade12cb
https://research.utwente.nl/en/publications/f3e25322-43cb-41d9-acd9-a0908626b552
https://research.utwente.nl/en/publications/f3e25322-43cb-41d9-acd9-a0908626b552
Autor:
Leonardo C. T. Bezerra, Michael Beigl, Allan de Medeiros Martins, Nelio Cacho, Adelson de Araujo, Julio Borges, Daniel Ziehr, Simon Geisler
Publikováno v:
ISC2
2018 IEEE International Smart Cities Conference, ISC2 2018
2018 IEEE International Smart Cities Conference, ISC2 2018
Forecasting when and where crimes are more likely to occur based on years of historical record analysis is becoming a task which is increasingly helping cities' safety departments with capacity planning, goal setting, and anomaly detection. Crime is
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::c8799732e30ea6e77f4d6aa781aa0f7c
https://doi.org/10.1109/isc2.2018.8656731
https://doi.org/10.1109/isc2.2018.8656731
Publikováno v:
HPCC/SmartCity/DSS
By monitoring crime incidence with quantitative techniques, many studies have shown that it is possible to improve decision making through pattern recognition and prediction. In a smart city scenario, such approaches can be used to compose analytical
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::169799b26941ec86ef4f3142c4f1fbe8
https://doi.org/10.1109/hpcc/smartcity/dss.2018.00211
https://doi.org/10.1109/hpcc/smartcity/dss.2018.00211