Results 101 to 110 of about 15,200 (191)

Modeling and optimization of performance and emissions in a gasoline-isopropanol SI engine: multi-model prediction and a PID-based search algorithm. [PDF]

Sci Rep
Bogar E, Arabaci E, Halis S, Uyumaz A.
europepmc   +1 more source

Auto Machine Learning for predicting Ship Fuel Consumption

, 2018
In recent years, machine learning has evolved in a fast pace as both algorithms and computing power are constantly improving. In this study, a machine learning model for predicting the fuel oil consumption from engine data has been developed for a cruise ship operating in the Baltic Sea.
Ahlgren, Fredrik, Thern, Marcus
openaire   +1 more source

Performance emission and combustion characteristics of TIO₂ and CEO₂ nanoparticle enhanced Mahua biodiesel diesel blends using experimental and machine learning approaches. [PDF]

Sci Rep
Janaki V, Ranjit PS, Balakrishna B.
europepmc   +1 more source

Development of predictive flight fuel consumption models

Fuel consumption is a crucial consideration in the aviation industry. This last one, integral to global connectivity, faces significant environmental concerns due to the escalating demand for air travel and its substantial contribution to greenhouse gas emissions.
openaire   +1 more source

Photothermal solar assisted Madhuca diethyl ether fuel processing for LHR engines with AI-based performance and yield prediction. [PDF]

Sci Rep
Dubey R, Prajapati AK, Bharadwaj S, Kamchoom V, Onyelowe KC, Arunachalam KP.   +5 more
europepmc   +1 more source

Response surface and TQM-ML analysis of a PCCI engine fueled with PO and microalgae biodiesel. [PDF]

Sci Rep
Al Awadh M, Michael GKO.
europepmc   +1 more source

A multi-criteria sustainability and engine performance study of andropogon narudus biodiesel using the PUGH matrix and ML. [PDF]

Sci Rep
Pv E, Saleel CA, Gulbarga MI, Hussain F, Khan SA, Rajendran P, Kaewthep C, Yong X.   +7 more
europepmc   +1 more source

Predicting energy prices and renewable energy adoption through an optimized tree-based learning framework with explainable artificial intelligence. [PDF]

Sci Rep
Tang T.
europepmc   +1 more source

Carbon Emission Intensity Modeling in Freight Operations Using eXplainable AI in Real-World Conditions. [PDF]

ACS Omega
Ranjan S, Madanayak SNS.
europepmc   +1 more source

Experimental Investigation and Artificial Intelligence-Based Modeling of Novel Biodiesel Fuels Containing Hybrid Nanoparticle Additives. [PDF]

Molecules
Uyar MM, Demirpolat AB, Çıtlak A.
europepmc   +1 more source