Results 91 to 100 of about 15,200 (191)

Variations in carbon emissions from vehicles at signalised intersections

, 2011
Carbon emissions from road transport make up 20% of the total greenhouse gas emissions in the UK. Therefore, reducing carbon emissions from road transport is significant in reaching carbon reduction targets.
Ing, Koh
core  

Fully empirical prediction of fuel consumption and greenhouse gas emission of ships sailing in seaways

, 2019
Fuel consumption and greenhouse gas emission (GHG) are key areas of concern for the maritime industry. Rising fuel costs and rising trends of emissions calls for a relook on the current state of voyage optimisation.
Yong, Hui Liang
core  

Optimizing Fuel Consumption Prediction Model Without an On-Board Diagnostic System in Deep Learning Frameworks. [PDF]

Sensors (Basel)
Keskin R, Belge E, Kutoglu SH.
europepmc   +1 more source

PREDICTION OF PASSENGER CAR FUEL CONSUMPTION USING ARTIFICIAL NEURAL NETWORK: A CASE STUDY IN THE CITY OF NIŠ

, 2016
The reduction of CO2 emission which is in direct relationship with fuel consumption is of prime importance for the future sustainable use of passenger cars.
Predić, Bratislav, Madić, Miloš, Stojanović, Dragan, Roganović, Miloš, Kovačević, Marko   +4 more
core  

Fuel consumption prediction of civil air crafts using deep learning: a comparative study

Accurate fuel consumption prediction is critical for minimizing the adverse impact of fuel emissions on the environment, conserving fuel, and reducing flight costs.
Nguyen, Hoang Lan; University of Economics Ho Chi Minh City (UEH), Nguyen, Quoc Hung; University of Economics Ho Chi Minh City (UEH)   +1 more
core   +1 more source

A simulation model to predict agricultural tractor-semi-trailer combination traction performance under different operating conditions. [PDF]

Sci Rep
Fouda T, Hegazy R, Alhamshary K.
europepmc   +1 more source

A machine learning framework for predicting fuel consumption and CO2 emissions in hybrid and combustion vehicles: comparative analysis and performance evaluation. [PDF]

PLoS One
Ibrahim RA, Zakzouk NE.
europepmc   +1 more source

An automated decision making framework for modern vehicles CO₂ emissions using multi modal engine telemetry and feature interpretability. [PDF]

Sci Rep
Saraswat SK, Abdullah M, Habelalmateen MI, Vivek V, Sahu PK, Pant R, Sharma S, Shojonov M, Madaminov B.   +8 more
europepmc   +1 more source

A study on carbon emission prediction of multi-energy complementary power system based on multiple linear regression model. [PDF]

Carbon Balance Manag
Sha J, Kang W, Ma R, Zhu D, Liu J.
europepmc   +1 more source

Coordinated Temporal Convolutional Network and Transformer for enhanced carbon emission prediction in energy intensive industries. [PDF]

Sci Rep
Zheng B, Pan M, Liu C, Zhang J, Tong J, Li D, Li J, Zhuang Z, Duan M, Fang K, Huang Y, Yuan J, Guo Z, Li Y.   +13 more
europepmc   +1 more source