Zobrazeno 1 - 10
of 627
pro vyhledávání: '"SVM (support vector machine)"'
Publikováno v:
In Remote Sensing Applications: Society and Environment April 2024 34
Autor:
Silva, Natan Felipe ⁎, de Andrade, Lélis Pedro, da Silva, Washington Santos, de Melo, Maísa Kely, Tonelli, Adriano Olímpio
Publikováno v:
In Finance Research Letters March 2024 61
Publikováno v:
In Physical Communication February 2024 62
Autor:
Chen Lingjing
Publikováno v:
Applied Mathematics and Nonlinear Sciences, Vol 9, Iss 1 (2024)
Big data technology’s quick advancement and widespread use provide fresh perspectives on how to change the mental health education curriculum at colleges and institutions. This study builds a prediction model for the college mental health education
Externí odkaz:
https://doaj.org/article/8398675fa6c44c9eb4ee150dd412b13f
Autor:
Indra Irawanto, Cynthia Widodo, Atin Hasanah, Prema Adhitya Dharma Kusumah, Kusirini Kusrini, Kusnawi Kusnawi
Publikováno v:
Ilkom Jurnal Ilmiah, Vol 15, Iss 1, Pp 175-185 (2023)
Twitter is a well-known social media platform since it allows users to retweet, leave comments, exchange the latest information, and even find out about forest fires. However, no one has processed Twitter data in the form of the topic of forest fires
Externí odkaz:
https://doaj.org/article/f4017b90359a4249946118fba0b4d3c4
Publikováno v:
IEEE Access, Vol 11, Pp 26441-26458 (2023)
Standard inspections of buildings are not always possible because of human flaws in prediction. Hence, we need more stable, scalable, and efficient automated processes. Structure Health Monitoring (SHM) is one of the automation systems for forecastin
Externí odkaz:
https://doaj.org/article/4527b477dcb54c878330fda02f58bfc8
Publikováno v:
In Quaternary Science Advances April 2023 10
Publikováno v:
In Journal of Manufacturing Processes December 2022 84:357-374
Autor:
Alessandra Tata, Filippo Marzoli, Miriam Cordovana, Alessia Tiengo, Carmela Zacometti, Andrea Massaro, Lisa Barco, Simone Belluco, Roberto Piro
Publikováno v:
Frontiers in Microbiology, Vol 14 (2023)
This study developed and validated a method, based on the coupling of Fourier-transform infrared spectroscopy (FT-IR) and machine learning, for the automated serotyping of Legionella pneumophila serogroup 1, Legionella pneumophila serogroups 2-15 as
Externí odkaz:
https://doaj.org/article/d2107164cb0f40c7bc909e84e06c1b01
Publikováno v:
Quaternary Science Advances, Vol 10, Iss , Pp 100075- (2023)
Garhwal Himalaya is the worst affected landslide prone region in Indian subcontinent mainly due to its complex geological settings and active tectonic activities. The data showed that every year, around 400 fatalities occur in Himalayan terrain due t
Externí odkaz:
https://doaj.org/article/d67c5020fcde473a929cb402a62282d1