Results 21 to 30 of about 3,660,974 (305)
Drive Cycle Optimisation for Pollution Reduction [PDF]
, 2015 Green house gas emissions have abraded environmental quality for human existence. Automobile exhaust is a significant contributor globally to green house gases, among other contributors.
Alghadhi +5 more
core +3 more sources
Physics Guided Deep Learning for Data-Driven Aircraft Fuel Consumption Modeling
Aerospace, 2021 This paper presents a physics-guided deep neural network framework to estimate fuel consumption of an aircraft. The framework aims to improve data-driven models’ consistency in flight regimes that are not covered by data.
Mevlut Uzun, M. Demirezen, G. Inalhan
semanticscholar +1 more source
Predicting fuel energy consumption during earthworks [PDF]
, 2016 This research contributes to the assessment of on-site fuel consumption and the resulting carbon dioxide emissions due to earthworks-related processes in residential building projects, prior to the start of the construction phase.
Bossi, Benedetta +3 more
core +2 more sources
Fuel Consumption Prediction Model using Machine Learning
International Journal of Advanced Computer Science and Applications, 2021 In the paper, we are enhancing the accuracy of the fuel consumption prediction model with Machine Learning to minimize Fuel Consumption. This will lead to an economic improvement for the business and satisfy the domain needs.
M. Hamed +2 more
semanticscholar +1 more source
Vehicle Fuel Consumption Prediction Method Based on Driving Behavior Data Collected from Smartphones
Journal of Advanced Transportation, 2020 Transportation is an important factor that affects energy consumption, and driving behavior is one of the main factors affecting vehicle fuel consumption. The purpose of this paper is to improve fuel consumption monitoring databases based on mobile phone
Ying Yao +6 more
semanticscholar +1 more source
Heavy Duty Vehicle Fuel Consumption Modelling Using Artificial Neural Networks. [PDF]
, 2019 The file attached to this record is the author's final peer reviewed version. The Publisher's final version can be found by following the DOI link.In this paper an artificial neural network (ANN) approach to modelling fuel consumption of heavy duty ...
bera +8 more
core +1 more source
Energies, 2020 It is widely discussed that GDP growth has a vague impact on environmental pollution due to carbon dioxide emissions from fossil fuels consumed in production, transportation, and power generation.
E. Rasoulinezhad +2 more
semanticscholar +1 more source
Journal of Marine Science and Engineering, 2020 Hybrid propulsion and using liquefied natural gas (LNG) as the alternative fuel have been applied on automobiles and some small ships, but research investigating the fuel consumption and emissions over the total voyage of ocean-going cargo ships with a ...
Congbiao Sui +4 more
semanticscholar +1 more source
Applying artificial neural networks for modelling ship speed and fuel consumption
Neural computing & applications (Print), 2020 This paper deals with modelling ship speed and fuel consumption using artificial neural network (ANN) techniques. These tools allowed us to develop ANN models that can be used for predicting both the fuel consumption and the travel time to the ...
W. Tarelko, K. Rudzki
semanticscholar +1 more source
Big Data Fusion to Estimate Fuel Consumption: A Case Study of Riyadh [PDF]
, 2017 Falling oil revenues and rapid urbanization are putting a strain on the budgets of oil producing nations which often subsidize domestic fuel consumption.
Awwad, Zeyad +3 more
core +2 more sources