Makale detayı · 2008
Artificial neural network (ANN) approach for modeling of Pb(II) adsorption from aqueous solution by Antep pistachio (Pistacia Vera L.) shells
YÖKSİS
OpenAlex
SJR Q1
JCR Q1
Atıf 350
Üst %1
Yüzdelik 99.4%
FWCI 19.22
- Yıl
- 2008
- Tür
- article
Veri kaynağı ayrımı
- YÖKSİS YÖKSİS makale kaydı
- YÖKSİS dergi adı JOURNAL OF HAZARDOUS MATERIALS
- Katalog eşleşmesi (ISSN) Journal of Hazardous Materials
- OpenAlex OpenAlex zenginleştirmesi (özet, atıf, konular)
Özet
Özet henüz derlenmedi; DergiPark / OpenAlex kuyruğu işlenince burada görünecek.
Konular
Atıflar
OpenAlex cited_by_count. WoS veya Scopus atıf sayısı değildir; o kaynaklar için ayrı kolon yoktur.
350 atıf
OpenAlex cited_by_count (önbellek / veritabanı)
Yerel katalogda bu makaleye atıf yapan 77 yayın (OpenAlex referans eşleşmesi; tam dünya listesi değildir).
- Response surface modeling of Pb II removal from aqueous solution by Pistacia vera L Box Behnken experimental design 2009
- Modelling of lead adsorption from industrial sludge leachate on red mud by using RSM and ANN 2012
- The use of artificial neural networks (ANN) for modeling of adsorption of Cu(II) from industrial leachate by pumice 2011
- The use of artificial neural networks ANN for modeling of adsorption of Cu II from industrial leachate by pumice 2011
- The use of artificial neural networks (ANN) for modeling of adsorption of Cu(II) from industrial leachate by pumice 2011
- Comparison of the results of response surface methodology and artificial neural network for the biosorption of lead using black cumin 2012
- Comparison of the results of response surface methodology and artificial neural network for the biosorption of lead using black cumin. 2012
- A fuzzy logic based model to predict biogas and methane production rates in a pilot scale mesophilic UASB reactor treating molasses wastewater 2010
- Applications on agricultural and forest waste adsorbents for the removal of lead II from contaminated waters 2012
- ANN-based modeling and reducing dual-fuel engine's challenging emissions by multi-objective evolutionary algorithm NSGA-II 2016