Modeling the Propagation of Forest Insect Infestation Using Machine Learning Techniques
Source:
Computational Science and Its Applications -- ICCSA 2015, 2015, 9157, 646-657Publisher:
- Cham: Springer International Publishing
Note:
- Gervasi, Osvaldo; Murgante, Beniamino; Misra, Sanjay; Gavrilova, Marina L.; Rocha, Ana Maria Alves Coutinho; Torre, Carmelo; Taniar, David; Apduhan, Bernady O.
DOI: 10.1007/978-3-319-21470-2_47
ISBN: 978-3-319-21469-6 978-3-319-21470-2
WoS: 000364989000047
Scopus: 2-s2.0-84944459235
Institution/Community
GraFarTY - CHAP AU - Samardžić-Petrović, Mileva AU - Dragićević, Suzana PY - 2015 UR - https://grafar.grf.bg.ac.rs/handle/123456789/1044 PB - Cham: Springer International Publishing T2 - Computational Science and Its Applications -- ICCSA 2015 T1 - Modeling the Propagation of Forest Insect Infestation Using Machine Learning Techniques EP - 657 SP - 646 VL - 9157 DO - 10.1007/978-3-319-21470-2_47 ER -
@inbook{ author = "Samardžić-Petrović, Mileva and Dragićević, Suzana", year = "2015", publisher = "Cham: Springer International Publishing", journal = "Computational Science and Its Applications -- ICCSA 2015", booktitle = "Modeling the Propagation of Forest Insect Infestation Using Machine Learning Techniques", pages = "657-646", volume = "9157", doi = "10.1007/978-3-319-21470-2_47" }
Samardžić-Petrović, M.,& Dragićević, S.. (2015). Modeling the Propagation of Forest Insect Infestation Using Machine Learning Techniques. in Computational Science and Its Applications -- ICCSA 2015 Cham: Springer International Publishing., 9157, 646-657. https://doi.org/10.1007/978-3-319-21470-2_47
Samardžić-Petrović M, Dragićević S. Modeling the Propagation of Forest Insect Infestation Using Machine Learning Techniques. in Computational Science and Its Applications -- ICCSA 2015. 2015;9157:646-657. doi:10.1007/978-3-319-21470-2_47 .
Samardžić-Petrović, Mileva, Dragićević, Suzana, "Modeling the Propagation of Forest Insect Infestation Using Machine Learning Techniques" in Computational Science and Its Applications -- ICCSA 2015, 9157 (2015):646-657, https://doi.org/10.1007/978-3-319-21470-2_47 . .