Results 41 to 50 of about 164 (117)
ABSTRACT The COVID‐19 pandemic caused a crisis that jeopardized food consumption and dietary diversity. This study aimed to: (1) investigate relationship between COVID‐19 and women's and children's diets in India; (2) examine how this varies by socioeconomic status and mothers' vegetarianism; and (3) assess whether mobility restrictions during India's ...
Anjali Pant +4 more
wiley +1 more source
Syngas Calorific Value Prediction for Underground Coal Gasification Based on Informer
Coal property and operational parameter variations cause, the underground coal gasification (UCG) systems to exhibits diverse gasification processes. As gasification reactions persist, the secondary combustion proportion of combustible gases, increases, leading to unstable gasifier reaction states.
Faqiang Su +7 more
openaire +2 more sources
Underground coal gasification (UCG) is a technological process, which converts solid coal into a gas in the underground, using injected gasification agents.
Ján Kačur +3 more
doaj +1 more source
Developing a Proximate Component Prediction Model of Biomass Based on Element Analysis
Interest in biomass has increased due to current environmental issues, and biomass analysis is usually performed using element and proximate analyses to ascertain its fuel characteristics.
Sunyong Park +4 more
doaj +1 more source
Biotic interactions are fundamental to the structuring of marine communities. Predator–prey and competitive interactions can drive species distribution, abundance and mediate individual behaviour. These interactions are especially important to understand in the context of restoration.
Percy J. M., Gnanalingam G.
wiley +1 more source
This study investigated the accurate prediction of the calorific value of municipal solid waste (MSW) using soft computing systems, namely artificial neural networks (ANN), adaptive neural fuzzy inference system (ANFIS), support vector machine (SVM), and
Saptarshi Mondal, Islam M. Rafizul
doaj +1 more source
The aim this study was quantify the calorific power of 111 gasoline samples available at filling stations using near infrared spectroscopy in conjunction with the multivariate regression.
Janice Zulma Francesquett +4 more
doaj +1 more source
The combination of laser-induced breakdown spectroscopy and energy dispersive X-ray fluorescence spectroscopy in the coal quality analysis was reported formerly.
Yu Bai +16 more
doaj +1 more source
Microalgal bioproduct production is constrained by high cultivation costs. Integrating automated photobioreactors, real‐time pH, light and temperature control, AI‐driven automation, and electronic data logging enables smart cultivation, reduces manual intervention, improves process efficiency, and supports cost‐effective, scalable microalgal bioproduct
Angela Paul Peter +6 more
wiley +1 more source
Calorific value is one of the most important properties of coal. Machine learning (ML) can be used in the prediction of calorific value to reduce experimental costs.
Yuchao Guo +11 more
doaj +1 more source

