Machine learning technology in biodiesel research: A review
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 …
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) …
[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 **a, 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
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 …
[HTML][HTML] Machine learning approaches to modeling and optimization of biodiesel production systems: State of art and future outlook
One of the main limitations to the economic sustainability of biodiesel production remains
the high feedstock cost. Modeling and optimization are crucial steps to determine if …
the high feedstock cost. Modeling and optimization are crucial steps to determine if …
Applications of artificial intelligence‐based modeling for bioenergy systems: A review
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
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 …