Artificial neural network based modelling approach for municipal solid waste gasification in a fluidized bed reactor
In this paper, multi-layer feed forward neural networks are used to predict the lower heating
value of gas (LHV), lower heating value of gasification products including tars and entrained …
value of gas (LHV), lower heating value of gasification products including tars and entrained …
Co-pyrolysis of microalgae residue and sewage sludge: An in-depth characterization of kinetics, drivers, and gas-oil-char behaviors
Environmental concerns linked to fossil fuels, including but not limited to global warming,
climate change, water and soil acidification, are compelling countries to investigate and …
climate change, water and soil acidification, are compelling countries to investigate and …
Pyrolysis of de-fatted microalgae residue: A study on thermal-kinetics, products' optimization, and neural network modelling
The present work focused on the pyrolysis-based valorization of microalgae biomass
residual for the generation of sustainable fuel and value-added chemicals. Key pyrolysis …
residual for the generation of sustainable fuel and value-added chemicals. Key pyrolysis …
Investigation of optimum H2 production from date palm waste leaves using different modeling tools
Globally, the productive utilization of biomass has paid serious attention to fulfilling the
energy requirements laid out by the international standards, as to reduce related carbon …
energy requirements laid out by the international standards, as to reduce related carbon …
Investigation of enhanced H2 production from municipal solid waste gasification via artificial neural network with data on tar compounds
An artificial neural network (ANN) is a biologically inspired computational technique that
imitates the behavior and learning process of the human brain. In this study, ANN technique …
imitates the behavior and learning process of the human brain. In this study, ANN technique …
Systems thinking in software projects-an artificial neural network approach
The authors discuss why the current conceptual base of project management research and
practice continues to attract criticism since it does not adequately address the complexity …
practice continues to attract criticism since it does not adequately address the complexity …
Assessing bioenergy prospects of algal biomass and yard waste using an integrated hydrothermal carbonization and pyrolysis (HTC–PY): A detailed emission–to–ash …
A Kumar, IA Jamro, H Rong, L Kumari… - Chemical Engineering …, 2024 - Elsevier
Hydrothermal carbonization (HTC) presents a promising method for converting
carbonaceous waste into renewable fuels, facilitating energy recovery. This study focuses …
carbonaceous waste into renewable fuels, facilitating energy recovery. This study focuses …
Signal de-noising methods for fault diagnosis and troubleshooting at CANDU® stations
E Nasimi, HA Gabbar - Nuclear Engineering and Design, 2014 - Elsevier
Over the past several years a number of domestic CANDU® stations have experienced
issues with neutron detection systems that challenged safety and operation. Intelligent …
issues with neutron detection systems that challenged safety and operation. Intelligent …
Fractional-order system identification in massive MIMO systems
M Lupupa, S Hadjiloucas - Journal of Physics: Conference …, 2018 - iopscience.iop.org
In wireless communications using massive multiple-input multiple-output (MIMO) channel
modalities as would be required for communications with distributed sensing modalities to …
modalities as would be required for communications with distributed sensing modalities to …
Modelação de Gerador Eletromagnético com Redes Neuronais Artificiais
RME Rocha - 2017 - search.proquest.com
A crescente necessidade de sistemas de funcionamento autónomo aliada à redução de
consumo por parte dos dispositivos microeletrónicos ao longo dos últimos anos, tem …
consumo por parte dos dispositivos microeletrónicos ao longo dos últimos anos, tem …