Modeling, diagnostics, optimization, and control of internal combustion engines via modern machine learning techniques: A review and future directions
A critical review of the existing Internal Combustion Engine (ICE) modeling, optimization,
diagnosis, and control challenges and the promising state-of-the-art Machine Learning (ML) …
diagnosis, and control challenges and the promising state-of-the-art Machine Learning (ML) …
Machine learning technology in biodiesel research: A review
M Aghbashlo, W Peng, M Tabatabaei… - Progress in Energy and …, 2021 - Elsevier
Biodiesel has the potential to significantly contribute to making transportation fuels more
sustainable. Due to the complexity and nonlinearity of processes for biodiesel production …
sustainable. Due to the complexity and nonlinearity of processes for biodiesel production …
[HTML][HTML] Machine learning for biochemical engineering: A review
The field of machine learning is comprised of techniques, which have proven powerful
approaches to knowledge discovery and construction of 'digital twins' in the highly …
approaches to knowledge discovery and construction of 'digital twins' in the highly …
Evolving kernel extreme learning machine for medical diagnosis via a disperse foraging sine cosine algorithm
J Xia, D Yang, H Zhou, Y Chen, H Zhang, T Liu… - Computers in Biology …, 2022 - Elsevier
Kernel extreme learning machine (KELM) has been widely used in the fields of classification
and identification since it was proposed. As the parameters in the KELM model have a …
and identification since it was proposed. As the parameters in the KELM model have a …
Evaluation of the engine performance and exhaust emissions of biodiesel-bioethanol-diesel blends using kernel-based extreme learning machine
Highlights•Biodiesel-bioethanol-diesel blends can be used in CI engines without
modifications.•K-ELM modelling facilitates in minimizing fuel consumption and exhaust …
modifications.•K-ELM modelling facilitates in minimizing fuel consumption and exhaust …
Diesel engine combustion characteristics using nano-particles in biodiesel-diesel blends
G Najafi - Fuel, 2018 - Elsevier
The current experimental research study focuses on influence of CNT and Ag nano-particles
on combustion parameters of diesel engine. The based fuel used is blend of biodiesel and …
on combustion parameters of diesel engine. The based fuel used is blend of biodiesel and …
Applications of artificial intelligence‐based modeling for bioenergy systems: A review
M Liao, Y Yao - GCB Bioenergy, 2021 - Wiley Online Library
Bioenergy is widely considered a sustainable alternative to fossil fuels. However, large‐
scale applications of biomass‐based energy products are limited due to challenges related …
scale applications of biomass‐based energy products are limited due to challenges related …
Automatic detection and classification of mammograms using improved extreme learning machine with deep learning
SRS Chakravarthy, H Rajaguru - Irbm, 2022 - Elsevier
Background and objective Breast cancer, the most intrusive form of cancer affecting women
globally. Next to lung cancer, breast cancer is the one that provides a greater number of …
globally. Next to lung cancer, breast cancer is the one that provides a greater number of …
Effects of waste fish oil biodiesel on diesel engine combustion characteristics and emission
Highlights•Waste fish oil biodiesel instead of diesel decreased the cycle-to-cycle
variations.•WFO had about 2.92% more gross thermal efficiency when compared with the …
variations.•WFO had about 2.92% more gross thermal efficiency when compared with the …
Forecasting of groundwater level fluctuations using ensemble hybrid multi-wavelet neural network-based models
Accurate prediction of groundwater level (GWL) fluctuations can play an important role in
water resources management. The aims of the research are to evaluate the performance of …
water resources management. The aims of the research are to evaluate the performance of …