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Kinetic and Artificial neural network modelling of marabú (Dichrostachys cinerea) pyrolysis based on thermogravimetric data
Marabú ( Dichrostachys cinerea ), a fast-growing shrub species, has garnered interest as a potential energy crop due to its properties. In develo**...
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Pyrolysis of cattle manure: kinetics and thermodynamic analysis using TGA and artificial neural network
The present study explores the bioenergy potential of animal manure based on the physicochemical and thermogravimetric analysis. This study examines...
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Prediction of biochar characteristics and optimization of pyrolysis process by response surface methodology combined with artificial neural network
Improving the biomass pyrolysis process can effectively improve the physical and chemical properties of biochar, making soybean straw biochar return...
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Paddy straw as a biomass feedstock for the manufacturing of bioethanol using acid hydrolysis and parametric optimization through response surface methodology and an artificial neural network
Paddy straw (PS)–based lignocellulosic biomaterials (LBM) generate biofuel, which minimizes climate change, global warming, CO 2 , and nursery gas...
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Genetic improvement of a locally isolated Bacillus cereus AUST-7 strain via mutagenesis for alkaline protease production and its optimization using artificial neural network (ANN)
The present study was conducted on culture improvement of locally isolated Bacillus cereus AUST-7 (NR_112630) strain and optimization by using an...
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Rapid quantification of lignocellulose composition in rice straw varieties using artificial neural networks and FTIR spectroscopic data
Rice is the second-largest cultivated crop in the world, leaving 1.8 times rice straw as residue, a valuable lignocellulosic feedstock for...
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Convective drying of golden delicious apple enhancement: drying characteristics, artificial neural network modeling, chemical and ATR-FTIR analysis of quality parameters
In recent years, many innovative methods have been investigated to provide alternative approaches to the food drying industry, but currently the most...
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Prediction of Liquified Soil Settlement Based on Artificial Neural Network
Severe seismic movements caused certain special types of soil, such as loose sands or poorly gravelly soil, to liquefaction, which is referred to as...
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Laccase production from Bacillus sp. BAB-4151 using artificial neural network and genetic algorithm and its application for wastewater treatment
Dye-based pollutants are frequently discharged into water bodies, negatively impacting human and environmental health. The treatment of waste-water...
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Mercury prediction in groundwater of Naameh Landfill using an Artificial Neural Network (ANN) model
Mercury is a highly poisonous metal which is mostly found in environment. It is considered at the top of the parameters of water quality that...
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Sensorless PMBLDC Motor Control Strategies by Artificial Neural Network (ANN) with PI Controller
Due to benefits in terms of cost, complexity, and reliability, sensorless control of BLDC motors has attracted a lot of interest. In order to obtain...
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Modeling and optimization of uricase production from a novel Pseudomonas mosselii using response surface methodology and artificial neural network
Uricase is potential therapeutic and diagnostic enzyme having wide applications in pharmaceutical sector, but production yield and cost of production...
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Artificial Neural Network-Based Designing of Solar and Wind System with Modified Power Filter
This paper includes the performance and designing of hybrid solar and wind with the modified power filter. Optimized maximum power of hybrid solar...
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Artificial neural network-based assessment of water quality index (WQI) of surface water in Gwalior-Chambal region
In the complex environment of physical, chemical, and biological processes in water bodies, it is always challenging to model the water quality while...
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Artificial Neural Network Application for the Prediction of Global Solar Radiation Inside a Greenhouse
Solar radiation prediction is essential for several research applications in renewable energy. In particular, solar irradiation can be considered as...
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Multi-objective optimization of lignocellulolytic enzyme cocktail production from Pseudolagarobasidium acaciicola TDW-48 by artificial neural network-genetic algorithm (ANN-GA) strategy and its application in lignocellulose waste bioconversion
A massive amount of lignocellulose waste is generated annually, causing many environmental concerns. The bioconversion of these wastes into...
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Spatial prediction of soil organic carbon in coal mining subsidence areas based on RBF neural network
A quantitative research on the effect of coal mining on the soil organic carbon (SOC) pool at regional scale is beneficial to the scientific...
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Optimization of biomass and polyhydroxyalkanoate production by Cupriavidus necator using response surface methodology and genetic algorithm optimized artificial neural network
High polyhydroxyalkanoate (PHA) yield from selected substrates associated with minimal accumulation of residual biomass can improve the process...
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Artificial neural network and mathematical modeling on the drying kinetics of Costus pictus rhizomes and its impact on the polyphenol, flavonoid content and antioxidant activity
Costus pictus , recognized as the “insulin plant,” is a renowned medicinal plant with a diverse phytochemical composition, which confers a...
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A denoising-classification neural network for power transformer protection
Artificial intelligence (AI) can potentially improve the reliability of transformer protection by fusing multiple features. However, owing to the...
