Potential of explainable artificial intelligence in advancing renewable energy: challenges and prospects
VN Nguyen, W Tarełko, P Sharma, AS El-Shafay… - Energy & …, 2024 - ACS Publications
Modern machine learning (ML) techniques are making inroads in every aspect of renewable
energy for optimization and model prediction. The effective utilization of ML techniques for …
energy for optimization and model prediction. The effective utilization of ML techniques for …
Model-prediction and optimization of the performance of a biodiesel–Producer gas powered dual-fuel engine
P Sharma, AK Sharma, D Balakrishnan, A Manivannan… - Fuel, 2023 - Elsevier
Diesel engines have been blamed for harming the environment owing to toxic emissions
that raise glasshouse gas (GHG) levels. This study intends to model-forecast and improve …
that raise glasshouse gas (GHG) levels. This study intends to model-forecast and improve …
Surrogate modeling of parameterized multi-dimensional premixed combustion with physics-informed neural networks for rapid exploration of design space
Parametric optimization is a critical component in designing and prototyping combustion
systems. However, existing parametric optimization methods often suffer from either …
systems. However, existing parametric optimization methods often suffer from either …
A numerical solution of fractional reaction–convection–diffusion for modeling PEM fuel cells based on a meshless approach
VR Hosseini, AA Mehrizi, H Karimi-Maleh… - … Analysis with Boundary …, 2023 - Elsevier
The purpose of this contribution is to present or implement generalized finite difference
method (GFDM) for the first time in order to solve the reaction convection Diffusion equation …
method (GFDM) for the first time in order to solve the reaction convection Diffusion equation …
Fish processing discards: A plausible resource for valorization to renewable fuels production, optimization, byproducts and challenges
Considering the petroleum and fuel prices in India for the past ten years, it can be concluded
that there is a huge need for alternative sources of energy. The fuels that are currently used …
that there is a huge need for alternative sources of energy. The fuels that are currently used …
[HTML][HTML] Predicting physical properties of oxygenated gasoline and diesel range fuels using machine learning
Understanding the physical properties of distillate petroleum fuels like gasoline and diesel is
very critical to ensure the normal operation of internal combustion (IC) engines with regards …
very critical to ensure the normal operation of internal combustion (IC) engines with regards …
Application of an optimized PSO-BP neural network to the assessment and prediction of underground coal mine safety risk factors
DM Mulumba, J Liu, J Hao, Y Zheng, H Liu - Applied Sciences, 2023 - mdpi.com
Coal has played an important role in the economies of many countries worldwide, which has
resulted in increased surface and underground mining in countries with large coal reserves …
resulted in increased surface and underground mining in countries with large coal reserves …
[HTML][HTML] Machine vision based damage detection for conveyor belt safety using Fusion knowledge distillation
A belt conveyor system is one of the essential equipment in coal mining. The damages to
conveyor belts are hazardous because they would affect the stable operation of a belt …
conveyor belts are hazardous because they would affect the stable operation of a belt …
Anthropogenic emissions from coal-water slurry combustion: Influence of component composition and registration methods
VV Dorokhov, GS Nyashina, PA Strizhak - Environmental research, 2023 - Elsevier
The flue gas composition is often measured using a combination of techniques that differ in
terms of both physical operation principle and type of output. Gas analyzers, FTIR …
terms of both physical operation principle and type of output. Gas analyzers, FTIR …
Flow prediction of heterogeneous nanoporous media based on physical information neural network
The simulation and prediction of fluid flow in porous media play a profoundly significant role
in today's scientific and engineering domains, particularly in gaining a deeper …
in today's scientific and engineering domains, particularly in gaining a deeper …