Framework Based on Artificial Intelligence to Increase Industrial Bioethanol  Production

Framework Based on Artificial Intelligence to Increase Industrial Bioethanol Production

4.6
(268)
Écrire un avis
Plus
€ 21.00
Ajouter au panier
En Stock
Description

Frontiers Application of machine learning technologies in biodiesel production process—A review

Bioethanol production estimated from volatile compositions in hydrolysates of lignocellulosic biomass by deep learning - ScienceDirect

Criteria prioritization for the sustainable development of second-generation bioethanol in Thailand using the Delphi-AHP technique, Energy, Sustainability and Society

Frontiers Artificial intelligence-driven systems engineering for next-generation plant-derived biopharmaceuticals

Future Of Aviation – Sustainable Aviation Fuel - Aviation - India

FRAMEWORK OF THE RESEARCH at the University of Padova by università padova - Issuu

EMPOWER project kicks off in Finland

Sustainability implications of artificial intelligence in the chemical industry: A conceptual framework - Liao - 2022 - Journal of Industrial Ecology - Wiley Online Library

PDF) Framework Based on Artificial Intelligence to Increase Industrial Bioethanol Production

Global Bioethanol Market by Feedstock (Starch based, Sugar based, Cellulose- based), Fuel blend (E5, E10, E15 to E70, E75& E85), End-use (transportation, pharmaceutical, cosmetic, alcoholic beverages), Generation and Region - Forecast to 2028

Artificial intelligence and machine learning applications in biopharmaceutical manufacturing: Trends in Biotechnology

Third-generation bioethanol and L-lactic acid production from red macroalgae cellulosic residue: Prospects of Industry 5.0 algae - ScienceDirect

Top 10 Emission Reduction Technology Trends in 2023

Etri

Water in a changing world: the United Nations world water development report 3