Soft computing modeling and multiresponse optimization for production of microalgal biomass and lipid as bioenergy feedstock

2021 ◽  
Author(s):  
N. Sultana ◽  
S.M. Zakir Hossain ◽  
H.A. Albalooshi ◽  
S. Chrouf ◽  
I. Atef ◽  
...  
Keyword(s):  
Soft Computing ◽  
Bioenergy Feedstock ◽  
Microalgal Biomass ◽  
Multiresponse Optimization

Production of carbohydrate enrich microalgal biomass as a bioenergy feedstock

Energy ◽  
2019 ◽  
Vol 188 ◽  
pp. 116039 ◽  
Author(s):  
Harshita Singh ◽  
Jhansi L. Varanasi ◽  
Srijoni Banerjee ◽  
Debabrata Das
Keyword(s):  
Bioenergy Feedstock ◽  
Microalgal Biomass

Soft-computing modeling and multiresponse optimization for nutrient removal process from municipal wastewater using microalgae

2022 ◽  
Vol 45 ◽  
pp. 102490
Author(s):  
S. M. Zakir Hossain ◽  
Nahid Sultana ◽  
Majeed S. Jassim ◽  
Gulnur Coskuner ◽  
Lujain M. Hazin ◽  
...  
Keyword(s):  
Soft Computing ◽  
Nutrient Removal ◽  
Municipal Wastewater ◽  
Removal Process ◽  
Multiresponse Optimization

Soft Computing in Electromagnetics

2015 ◽  
Author(s):  
Balamati Choudhury ◽  
Rakesh Mohan Jha
Keyword(s):  
Soft Computing

MACHINE LEARNING FOR SOFTWARE

2019 ◽  
pp. 251-255
Author(s):  
Shafagat Mahmudova
Keyword(s):  
Machine Learning ◽  
Neural Networks ◽  
Soft Computing ◽  
Computing Technology

The study machine learning for software based on Soft Computing technology. It analyzes Soft Computing components. Their use in software, their advantages and challenges are studied. Machine learning and its features are highlighted. The functions and features of neural networks are clarified, and recommendations were given.

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