About: Catalytic upgrading of 4-methylaniosle as a representative of lignin-derived pyrolysis bio-oil: Process evaluation and optimization via coupled application of design of experiment and artificial neural networks

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About: Catalytic upgrading of 4-methylaniosle as a representative of lignin-derived pyrolysis bio-oil: Process evaluation and optimization via coupled application of design of experiment and artificial neural networks Goto Sponge NotDistinct Permalink

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scholarly article by Majid Saidi et al published February 2021 in International Journal of Hydrogen Energy

Attributes	Values
rdf:type	Item
description	wetenschappelijk artikel (nl) наукова стаття (uk) scholarly article by Majid Saidi et al published February 2021 in International Journal of Hydrogen Energy (en)
publication date	wds:Q108990842-5E929429-E921-4CCB-9BB6-99051404EFAA
publication date	2021-02-01 00:00:00Z (xsd:dateTime)
cites work	wds:Q108990842-17D098CE-CF9B-4150-BD3C-EE8F0ED02E71 wds:Q108990842-2678C578-970A-427F-A68A-3C661FE24642 wds:Q108990842-4C077457-F9C9-4B53-AA92-3979FA2186B0 wds:Q108990842-6867E174-0EA2-4A53-87D7-33E0F2BA0206 wds:Q108990842-8209593D-D4B4-4C26-BDA3-8D193708EAC8 wds:Q108990842-A069FB80-C626-4019-9495-F82449A6C548 wds:Q108990842-A504F5B9-7D19-4FA2-A9BA-121F45F85C77 wds:Q108990842-B3091552-5F90-4D3C-B32B-BB4C5D75FA71 wds:Q108990842-F1095FAD-F64C-4BF2-AEC8-C924858BE2CB
cites work	The catalytic valorization of lignin for the production of renewable chemicals Response surface methodology (RSM) as a tool for optimization in analytical chemistry A Grey Wolf Optimizer for Modular Granular Neural Networks for Human Recognition. Optimization of modular granular neural networks using a firefly algorithm for human recognition A quantum mechanical calculation of the theoretical strength of metals Harnessing the Power of Enzymes for Tailoring and Valorizing Lignin Dendritic Neuron Model With Effective Learning Algorithms for Classification, Approximation, and Prediction Modeling the Toxicity of Aromatic Compounds to Tetrahymena pyriformis: The Response Surface Methodology with Nonlinear Methods Recent advances in removal of lignin from paper industry wastewater and its industrial applications - A review
author name string	wds:Q108990842-2923EACB-6926-4E23-8AE7-EC9235CBE6EB wds:Q108990842-3BF467D4-9E11-4327-AD97-6C2DA448E71A wds:Q108990842-B1E1B26C-6846-4A34-ABB7-E9FD258AEF59 wds:Q108990842-E6DDA6CC-9D98-4598-8675-B8603827DD69
author name string	Mehran Minbashi Majid Saidi Fatemeh Arab Ameri Masha Yousefi
rdfs:label	Catalytic upgrading of 4-methylaniosle as a representative of lignin-derived pyrolysis bio-oil: Process evaluation and optimization via coupled application of design of experiment and artificial neural networks (en) Catalytic upgrading of 4-methylaniosle as a representative of lignin-derived pyrolysis bio-oil: Process evaluation and optimization via coupled application of design of experiment and artificial neural networks (nl)
skos:prefLabel	Catalytic upgrading of 4-methylaniosle as a representative of lignin-derived pyrolysis bio-oil: Process evaluation and optimization via coupled application of design of experiment and artificial neural networks (en) Catalytic upgrading of 4-methylaniosle as a representative of lignin-derived pyrolysis bio-oil: Process evaluation and optimization via coupled application of design of experiment and artificial neural networks (nl)
name	Catalytic upgrading of 4-methylaniosle as a representative of lignin-derived pyrolysis bio-oil: Process evaluation and optimization via coupled application of design of experiment and artificial neural networks (en) Catalytic upgrading of 4-methylaniosle as a representative of lignin-derived pyrolysis bio-oil: Process evaluation and optimization via coupled application of design of experiment and artificial neural networks (nl)
title	wds:Q108990842-91818FE1-43CD-47E0-BF4A-B6307BC8C45D
title	Catalytic upgrading of 4-methylaniosle as a representative of lignin-derived pyrolysis bio-oil: Process evaluation and optimization via coupled application of design of experiment and artificial neural networks (en)
page(s)	wds:Q108990842-D8D6E1D2-E792-4592-A491-4F7E7BA6A100
page(s)	8411-8430
instance of	wds:Q108990842-F36D099A-CD10-4134-883B-D3A592F415DE
instance of	scholarly article
main subject	wds:Q108990842-2BAB4429-D971-4B76-8D3E-E509F060EBD7 wds:Q108990842-389432BE-2B0B-4199-898F-59AD7EF42CBB
main subject	artificial neural network condensed matter physics
published in	wds:Q108990842-E15312CD-00E0-453E-B4C0-04E85E76E7FE
published in	International Journal of Hydrogen Energy
issue	wds:Q108990842-5F24F2D8-0C28-45B8-A3D9-E0A4194A5A15
volume	wds:Q108990842-514DD9F5-D529-4B4E-9D0B-26989892EA2F
issue	12
volume	46
DOI	wds:Q108990842-84963A36-DEB8-46A7-8EA0-DEE29285D050
DOI	http://dx.doi.org/10.1016/J.IJHYDENE.2020.12.031
DOI	10.1016/J.IJHYDENE.2020.12.031
is about of	https://www.wikidata.org/wiki/Special:EntityData/Q108990842

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