Results 281 to 290 of about 2,950,028 (313)

Impact of metal oxides on thermal response of zirconia coated diesel engines fueled by Momordica biodiesel machine learning insights. [PDF]

Sci Rep
Shaisundaram VS, Elumalai PV, Padmanabhan S, Ramachandran UN, Tripathi AK, Yaping C, Goud BN, Prabhakar S.   +7 more
europepmc   +1 more source

Global decarbonization corresponding with unseasonal land cover change. [PDF]

Nat Commun
He K, Wang L, Liu Z.
europepmc   +1 more source

Tracing CO₂ emissions across megacity landscapes: beyond citywide totals to structural heterogeneity and mitigation. [PDF]

Environ Sci Ecotechnol
Zhu Y, Zhang Y, Zhang Y, Zheng B.
europepmc   +1 more source

Sustainable RCCI engine operation with an ANN based novel tri-fuel approach. [PDF]

Sci Rep
Elumalai PV, Shieh CS, Reddy MS, Sree SR, Krishnan S.   +4 more
europepmc   +1 more source

Place of fuel consumption in the criteria of choice of vehicles (Individuals)

, 2006
Thierry Meyer, Arnaud Clavel, Julien Cestac   +2 more
openalex   +1 more source

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Minimum hydrogen consumption‐based energy management strategy for hybrid fuel cell unmanned aerial vehicles using direction prediction optimal foraging algorithm

Fuel Cells, 2023
In hybrid energy storage systems of fuel cell unmanned aerial vehicles (UAVs), achieving energy management while minimizing hydrogen consumption is the main goal for economic aspects and endurance enhancement.
Rui Quan, Zhongxin Li, Ping Liu, Yangxin Li, Yufang Chang, Huaicheng Yan   +5 more
semanticscholar   +1 more source

Neural network-based fuel consumption estimation for container ships in Korea

, 2020
Due to the outstanding strength of advanced machine-learning techniques, they have become increasingly common in predictive studies in recent years, particularly in predicting ship energy performance. In constructing predictive models, prior studies have
L. Le, Gunwoo Lee, Keun-sik Park, Hwayoung Kim   +3 more
semanticscholar   +1 more source