This study investigates the performance and emission characteristics of a multi-cylinder,
naturally aspirated, compression ignition diesel engine using ammonia as a secondary fuel …

Air pollution is detrimental to pregnancy adversely affecting maternal and child health. Our
objective was to unravel epigenetic mechanisms mediating the effect of preconception …

Accurate prediction of urban traffic exhaust emissions plays a crucial role in controlling
motor vehicle exhaust pollution. Urban public transport vehicles often operate in stop-and …

This paper proposes the assessment of the impacts of using electric vehicles for urban
service trips. In particular, the focus is on trips performed for delivering and installing …

This study aims to reduce the testing volume and cost of engine bench tests. By combining
neural network models and ensemble learning algorithms, a model cluster prediction …

This study investigates real-world carbon dioxides (CO2) and nitrogen oxides (NOx)
emissions from diesel (Bharat Stage-IV (BS-IV)) and petrol/gasoline (BS-IV and BS-VI) cars …

The information, provided by vehicles to their drivers is crucial for their reliable operation.
This study presents an IoT-based concept for vehicles monitoring, aimed at increasing the …

In 2018, a study published in Nature Climate Change highlighted that global tourism is
responsible for 8 percent of worldwide emissions, with nearly half (49 percent) attributed to …

Forecasting is a key component of the activities of many companies due to its irregular
nature and fluctuations in demand over time. Incorrect prediction of the demand volume …

This work covers issues related to real decision-making problems in the areas of forecasting
and process optimization. It presents basically two aspects, the first one concerns the …