Spectrophotometric Determination of Trace Amounts of Benzotriazole in Aqueous Solutions Using Gold Nanoparticles: Artificial Neural Network Modeling

Gold Nanoparticles ◽

Aqueous Solutions ◽

Spectrophotometric Determination ◽

Network Modeling ◽

Neural Network Modeling ◽

Artificial Neural Network Modeling of Cr(VI) Biosorption from Aqueous Solutions

Journal of Water Chemistry and Technology ◽

10.3103/s1063455x19040039 ◽

2019 ◽

Vol 41 (4) ◽

pp. 219-227 ◽

Cited By ~ 3

Author(s):

Farzaneh Mohammadi ◽

Zeynab Yavari ◽

Somaye Rahimi ◽

Majid Hashemi

Keyword(s):

Neural Network ◽

Aqueous Solutions ◽

Network Modeling ◽

Neural Network Modeling ◽

Artificial Neural Network Modeling of The Removal of Cr (VI) on by Polymeric Calix[6]arene in aqueous solutions

Uluslararası Muhendislik Arastirma ve Gelistirme Dergisi ◽

10.29137/umagd.472269 ◽

2020 ◽

pp. 13-20

Author(s):

Abdullah Erdal Tümer

Keyword(s):

Neural Network ◽

Aqueous Solutions ◽

Network Modeling ◽

Neural Network Modeling ◽

Adsorption of toluene from aqueous solutions onto polyethylene glycol (PEG) modified bentonite: kinetic, isotherm studies and artificial neural network modeling

10.5004/dwt.2021.27490 ◽

2021 ◽

Vol 231 ◽

pp. 131-142

Author(s):

Nabil Bougdah ◽

Nabil Messikh ◽

Salim Bousba ◽

Fayçal Djazi ◽

Pierre Magri ◽

...

Keyword(s):

Neural Network ◽

Polyethylene Glycol ◽

Aqueous Solutions ◽

Network Modeling ◽

Neural Network Modeling ◽

Modified Bentonite ◽

Adsorption of humic acid from aqueous solutions onto shellfish ash: Kinetic and isotherm studies and artificial neural network modeling

Environmental Health Engineering and Management ◽

10.34172/ehem.2020.26 ◽

2020 ◽

Vol 7 (4) ◽

pp. 219-228

Author(s):

Behzad Jamshidi ◽

Yaser Tahmasebi Birgani ◽

Sahand Jorfi ◽

Afshin Takdastan ◽

Mahboobeh Dehvari ◽

...

Keyword(s):

Neural Network ◽

Humic Acid ◽

Aqueous Solutions ◽

Network Modeling ◽

Neural Network Modeling ◽

Artificial Neural Network Modeling of Pavement Performance using Expert Judgement

Road Materials and Pavement Design ◽

10.3166/rmpd.3.373-384 ◽

2002 ◽

Vol 3 (4) ◽

pp. 373-384

Author(s):

Medhi Parvani

Keyword(s):

Neural Network ◽

Network Modeling ◽

Pavement Performance ◽

Expert Judgement ◽

Neural Network Modeling ◽

Artificial Neural Network Modeling of Phytoestrogen Binding to Estrogen Receptors

Letters in Drug Design & Discovery ◽

10.2174/157018006778194871 ◽

2006 ◽

Vol 3 (7) ◽

pp. 436-442 ◽

Cited By ~ 4

Author(s):

S. Agatonovic-Kustrin ◽

J. Turner

Keyword(s):

Neural Network ◽

Estrogen Receptors ◽

Network Modeling ◽

Neural Network Modeling ◽

Innovations in Corrosion and Materials Science (Formerly Recent Patents on Corrosion Science) ◽

An Artificial Neural Network Modeling to Study Unpredictable Degradation of Carbon Steel Marine Structure with Environmental Variables: Chloride, Sulphate, Bicarbonates, pH

10.2174/2352094904999141202103233 ◽

2015 ◽

Vol 4 (2) ◽

pp. 127-133

Author(s):

Subir Paul ◽

Sujit K Guchhait ◽

Kamal Goswami

Keyword(s):

Neural Network ◽

Carbon Steel ◽

Environmental Variables ◽

Network Modeling ◽

Neural Network Modeling ◽

Marine Structure ◽

Porosity Estimation of Mesoporous TiO 2 ‐ZnO Nanocrystalline by Artificial Neural Network Modeling

Chemical Engineering & Technology ◽

10.1002/ceat.202000297 ◽

2021 ◽

Author(s):

Soroush Soltani ◽

Taha Roodbar Shojaei ◽

Nasrin Khanian ◽

Thomas Shean Yaw Choong ◽

Nilofar Asim ◽

...

Keyword(s):

Neural Network ◽

Network Modeling ◽

Neural Network Modeling ◽

Artificial Neural ◽

Porosity Estimation

Numerical and artificial neural network modeling study on the first-law and second-law performance of a novel helical heat sink filled with water–silver nanofluid

Journal of Thermal Analysis and Calorimetry ◽

10.1007/s10973-021-10697-3 ◽

2021 ◽

Author(s):

Mohammad Reza Salehfekr Arabani ◽

Nader Pourmahmoud ◽

Iraj Mirzaii

Keyword(s):

Neural Network ◽

Heat Sink ◽

Network Modeling ◽

Neural Network Modeling ◽

Second Law ◽

Artificial Neural ◽

Modeling Study

Analysis of diclofenac removal by metal-organic framework MIL-100(Fe) using multi-parameter experiments and artificial neural network modeling

Journal of the Taiwan Institute of Chemical Engineers ◽

10.1016/j.jtice.2021.04.021 ◽

2021 ◽

Author(s):

Ho-Young Jang ◽

Jin-Kyu Kang ◽

Seung-Chan Lee ◽

Jeong-Ann Park ◽

Song-Bae Kim

Keyword(s):

Neural Network ◽

Metal Organic Framework ◽

Network Modeling ◽

Neural Network Modeling ◽

Metal Organic ◽

Artificial Neural ◽

Organic Framework