Zobrazeno 1 - 5
of 5
pro vyhledávání: '"Neena Ahuja"'
Publikováno v:
International Journal of Environment and Waste Management. 24:354-377
A Mamdani fuzzy inference system has been proposed here to work as a decision support model for evaluating the appropriateness of the 'waste to energy' anaerobic digester feedstock. Methane yield depends upon the nature of feedstock and the pH enviro
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::73e157179e8a67a9b7b96177ef9c845a
https://doi.org/10.1504/ijewm.2019.103642
https://doi.org/10.1504/ijewm.2019.103642
Publikováno v:
2015 International Conference on Soft Computing Techniques and Implementations (ICSCTI).
Fuzzy Inference System was designed to select the combination of feedstock that would provide over 55% methane yield in an anaerobic biogas digester at the same time maintaining neutral pH in it. This area was left untouched by fuzzy system experts i
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::a13d3b0dae4d365f981990015adf8365
https://doi.org/10.1109/icscti.2015.7489607
https://doi.org/10.1109/icscti.2015.7489607
Publikováno v:
2015 International Conference on Soft Computing Techniques & Implementations (ICSCTI); 2015, p72-77, 6p
Autor:
Tambouris, Efthimios, IOS Press
Electronic government and electronic participation continue to transform the public sector and society worldwide and are constantly being transformed themselves by emerging information and communication technologies. This book presents papers from th
This book presents selected research papers on current developments in artificial intelligence (AI) and data sciences from the International Conference on Advances in Data Science and Computing Technologies, ADSC 2022. The book covers topics such as