A review of computational modeling techniques for wet waste valorization: Research trends and future perspectives
The conversion of wet waste (eg, food waste, sewage sludge, and animal manure) into
bioenergy is a promising strategy for sustainable energy generation and waste …
bioenergy is a promising strategy for sustainable energy generation and waste …
Sensors and artificial intelligence methods and algorithms for human–computer intelligent interaction: A systematic mapping study
To equip computers with human communication skills and to enable natural interaction
between the computer and a human, intelligent solutions are required based on artificial …
between the computer and a human, intelligent solutions are required based on artificial …
Artificial intelligence foundation and pre-trained models: Fundamentals, applications, opportunities, and social impacts
A Kolides, A Nawaz, A Rathor, D Beeman… - … Modelling Practice and …, 2023 - Elsevier
With the emergence of foundation models (FMs) that are trained on large amounts of data at
scale and adaptable to a wide range of downstream applications, AI is experiencing a …
scale and adaptable to a wide range of downstream applications, AI is experiencing a …
Application of machine learning algorithms for predicting the engine characteristics of a wheat germ oil–Hydrogen fuelled dual fuel engine
FJJS Bai, K Shanmugaiah, A Sonthalia… - International journal of …, 2023 - Elsevier
In this research work, performance and emission parameters of wheat germ oil (WGO)-
hydrogen dual fuel was investigated experimentally and these parameters were predicted …
hydrogen dual fuel was investigated experimentally and these parameters were predicted …
Investigations on biomass gasification derived producer gas and algal biodiesel to power a dual-fuel engines: Application of neural networks optimized with Bayesian …
The adoption of sustainable energy sources is a crucial step towards achieving a low-
carbon economy and mitigating the effects of climate change. One promising approach is …
carbon economy and mitigating the effects of climate change. One promising approach is …
Prediction of oxygen-enriched combustion and emission performance on a spark ignition engine using artificial neural networks
P Sun, J Zhang, W Dong, D Li, X Yu - Applied Energy, 2023 - Elsevier
The experiment about gasoline fuel plus oxygen-enriched combustion (OEC) technology is
conducted on a combined injection engine in this paper. OEC is an effective in-cylinder …
conducted on a combined injection engine in this paper. OEC is an effective in-cylinder …
Prediction technique for flow boiling heat transfer and critical heat flux in both microgravity and Earth gravity via artificial neural networks (ANNs)
This study is part of the Flow Boiling and Condensation Experiment (FBCE) and utilizes flow
boiling data collected in both microgravity onboard the International Space Station (ISS) and …
boiling data collected in both microgravity onboard the International Space Station (ISS) and …
A comprehensive review of planning, modeling, optimization, and control of distributed energy systems
J Hao, Y Yang, C Xu, X Du - Carbon Neutrality, 2022 - Springer
Distributed energy system, a decentralized low-carbon energy system arranged at the
customer side, is characterized by multi-energy complementarity, multi-energy flow synergy …
customer side, is characterized by multi-energy complementarity, multi-energy flow synergy …
Multi-strategy Slime Mould Algorithm for hydropower multi-reservoir systems optimization
The challenge to determine the best policies for hydropower multiple reservoir systems is a
high-dimensional and nonlinear problem, making it challenging to attain a global solution …
high-dimensional and nonlinear problem, making it challenging to attain a global solution …
Knock probability determination in a turbocharged gasoline engine through exhaust gas temperature and artificial neural network
M Hosseini, I Chitsaz - Applied Thermal Engineering, 2023 - Elsevier
In the present study, a new combination of different available engine sensors along with an
exhaust gas temperature sensor is used as the input of an artificial neural network to …
exhaust gas temperature sensor is used as the input of an artificial neural network to …