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[HTML][HTML] Optimizing IC engine efficiency: A comprehensive review on biodiesel, nanofluid, and the role of artificial intelligence and machine learning
Transportation and power generation have historically relied upon Internal Combustion
Engines (ICEs). However, because of environmental impact and inefficiency, considerable …
Engines (ICEs). However, because of environmental impact and inefficiency, considerable …
Biofuels for a sustainable future: Examining the role of nano-additives, economics, policy, internet of things, artificial intelligence and machine learning technology in …
As the global population and economy grow, so does the energy demand. Over-reliance on
non-renewable resources leads to depletion and price spikes, making renewable …
non-renewable resources leads to depletion and price spikes, making renewable …
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 …
State-of-the-art and future directions of machine learning for biomass characterization and for sustainable biorefinery
Abstract Machine learning (ML) has emerged as a significant tool in the field of biorefinery,
offering the capability to analyze and predict complex processes with efficiency. This article …
offering the capability to analyze and predict complex processes with efficiency. This article …
Optimizing biodiesel production from abundant waste oils through empirical method and grey wolf optimizer
The failure of classical techniques and algorithms have triggered researchers to search for
stochastic tools capably of exploring the search space with constant convergence speed …
stochastic tools capably of exploring the search space with constant convergence speed …
[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 …
[HTML][HTML] Genetic algorithm approach to design of multi-layer perceptron for combined cycle power plant electrical power output estimation
In this paper a genetic algorithm (GA) approach to design of multi-layer perceptron (MLP) for
combined cycle power plant power output estimation is presented. Dataset used in this …
combined cycle power plant power output estimation is presented. Dataset used in this …
Agricultural biomass waste to biochar: A review on biochar applications using machine learning approach and circular economy
P Rex, KR Mohammed Ismail… - ChemEngineering, 2023 - mdpi.com
Biochar has gained attention as an alternative source of solid energy and for the proper
disposal of agricultural biomass waste (ABW). Microwave-assisted pyrolysis (MAP) is a …
disposal of agricultural biomass waste (ABW). Microwave-assisted pyrolysis (MAP) is a …
Progress in pyrolysis conversion of waste into value-added liquid pyro-oil, with focus on heating source and machine learning analysis
This work emphases the influence of using different heating sources (direct thermal, solar,
infrared, microwave heating) on the pyro-oil yield. The effect of the dominating process …
infrared, microwave heating) on the pyro-oil yield. The effect of the dominating process …
[HTML][HTML] An artificial intelligence approach to model and optimize biodiesel production from used cooking oil using CaO incorporated zeolite catalyst
The current work investigated the possibility of employing chicken eggshell-zeolite
composite as a cheap and recyclable heterogeneous catalyst for used cooking oil (UCO) …
composite as a cheap and recyclable heterogeneous catalyst for used cooking oil (UCO) …