Related references
Note: Only part of the references are listed.Simulating a combined lysis-cryptic and biological nitrogen removal system treating domestic wastewater at low C/N ratios using artificial neural network
Shan-Shan Yang et al.
WATER RESEARCH (2021)
Modeling cyclic volatile methylsiloxanes removal efficiency from wastewater by ZnO-coated aluminum anode using artificial neural networks
B. S. Reddy et al.
JOURNAL OF KING SAUD UNIVERSITY SCIENCE (2021)
Prediction of batch sorption of barium and strontium from saline water
B. S. Reddy et al.
ENVIRONMENTAL RESEARCH (2021)
Modeling the relationship between electrospinning process parameters and ferrofluid/polyvinyl alcohol magnetic nanofiber diameter by artificial neural networks
A. K. Maurya et al.
JOURNAL OF ELECTROSTATICS (2020)
Modeling Mechanical Properties of 25Cr-20Ni-0.4C Steels over a Wide Range of Temperatures by Neural Networks
P. L. Narayana et al.
METALS (2020)
Modeling constituent-property relationship of polyvinylchloride composites by neural networks
Bhumi Reddy Srinivasulu Reddy et al.
POLYMER COMPOSITES (2020)
High-strength wastewater treatment using microbial biofilm reactor: a critical review
Abdallah Abdelfattah et al.
WORLD JOURNAL OF MICROBIOLOGY & BIOTECHNOLOGY (2020)
Moving bed biofilm reactor technology in municipal wastewater treatment: A review
Alessandro di Biase et al.
JOURNAL OF ENVIRONMENTAL MANAGEMENT (2019)
Improving wastewater treatment capacity by optimizing hydraulic retention time of dual-anode assembled microbial desalination cell system
Fubin Liu et al.
SEPARATION AND PURIFICATION TECHNOLOGY (2019)
Design and optimization of a new reactor based on biofilm-ceramic for industrial wastewater treatment
Ali Aghababai Beni et al.
ENVIRONMENTAL POLLUTION (2019)
Recycled desalination membranes as a support material for biofilm development: A new approach for microcystin removal during water treatment
Jesus Moron-Lopez et al.
SCIENCE OF THE TOTAL ENVIRONMENT (2019)
A review of moving-bed biofilm reactor technology for palm oil mill effluent treatment
Siti Nur Hatika Abu Bakar et al.
JOURNAL OF CLEANER PRODUCTION (2018)
On a free boundary problem for biosorption in biofilms
B. D'Acunto et al.
NONLINEAR ANALYSIS-REAL WORLD APPLICATIONS (2018)
Applications of artificial neural networks for adsorption removal of dyes from aqueous solution: A review
Abdol Mohammad Ghaedi et al.
ADVANCES IN COLLOID AND INTERFACE SCIENCE (2017)
Efficient techniques for the removal of toxic heavy metals from aquatic environment: A review
C. Femina Carolin et al.
JOURNAL OF ENVIRONMENTAL CHEMICAL ENGINEERING (2017)
Alkaline treated carob shells as sustainable biosorbent for clean recovery of heavy metals: Kinetics, equilibrium, ions interferenceand process optimisation
M. Farnane et al.
ECOLOGICAL ENGINEERING (2017)
Optimization of process parameters for removal of heavy metals by biomass of Cu and Co-doped alginate-coated chitosan nanoparticles
Akbar Esmaeili et al.
BIORESOURCE TECHNOLOGY (2016)
Influences of metal ions on microcystin-LR degradation capacity and dynamics in microbial distribution of biofilm collected from water treatment plant nearby Kasumigaura Lake
Xin Wang et al.
CHEMOSPHERE (2016)
Design of medium carbon steels by computational intelligence techniques
N. S. Reddy et al.
COMPUTATIONAL MATERIALS SCIENCE (2015)
Artificial neural network modeling on the relative importance of alloying elements and heat treatment temperature to the stability of α and β phase in titanium alloys
N. S. Reddy et al.
COMPUTATIONAL MATERIALS SCIENCE (2015)
Biodegradation of pharmaceuticals in hospital wastewater by a hybrid biofilm and activated sludge system (Hybas)
Monica Escola Casas et al.
SCIENCE OF THE TOTAL ENVIRONMENT (2015)
Biosorption and desorption studies on chromium(VI) by novel biosorbents of raw rutin and rutin resin
Nady A. Fathy et al.
JOURNAL OF ENVIRONMENTAL CHEMICAL ENGINEERING (2015)
A glutathione S-transferase from Proteus mirabilis involved in heavy metal resistance and its potential application in removal of Hg2+
Weiwei Zhang et al.
JOURNAL OF HAZARDOUS MATERIALS (2013)
Micropollutant removal by attached and suspended growth in a hybrid biofilm-activated sludge process
P. Falas et al.
WATER RESEARCH (2013)
Performance of activated carbon and bentonite for adsorption of amoxicillin from wastewater: Mechanisms, isotherms and kinetics
Eric Kristia Putra et al.
WATER RESEARCH (2009)
Prediction of flow stress in Ti-6Al-4V alloy with an equiaxed α plus β microstructure by artificial neural networks
N. S. Reddy et al.
MATERIALS SCIENCE AND ENGINEERING A-STRUCTURAL MATERIALS PROPERTIES MICROSTRUCTURE AND PROCESSING (2008)
Heat transfer analysis for shell-and-tube heat exchangers with experimental data by artificial neural networks approach
G. N. Xie et al.
APPLIED THERMAL ENGINEERING (2007)
Design and operations of the Kaldnes moving bed biofilm reactors
B Rusten et al.
AQUACULTURAL ENGINEERING (2006)
Sorption of lead, copper, cadmium, zinc, and nickel by marine algal biomass: characterization of biosorptive capacity and investigation of mechanisms
PX Sheng et al.
JOURNAL OF COLLOID AND INTERFACE SCIENCE (2004)
Prediction of concrete strength using artificial neural networks
SC Lee
ENGINEERING STRUCTURES (2003)