Results 111 to 120 of about 885,103 (313)

Methods for Fuel Consumption Reduction in Commercial Vehicles

Механика машин, механизмов и материалов, 2014
The following means to reduce fuel consumption by commercial vehicles were examined: decrease of aerodynamic drag and tire drag; optimization of engine and transmission characteristics, and optimization of their operation modes.
D.Kh. Valeev, V.S. Karabtsev
doaj  

Optoelectrical Devices for Neural Interfacing: Engineering Integration, Stability, and Multimodal Sensing

Advanced Healthcare Materials, EarlyView.
Implantable optoelectrical devices are an effective resource for the modulation and monitoring of neural activity with high spatiotemporal resolution. This review discusses current challenges faced by these devices and outlines future perspectives for the development of next‐generation neural interfaces targeting chronic, multisite, and multimodal ...
Stella Aslanoglou, Barbara Spagnolo, Antonio Balena, Massimo De Vittorio, Ferruccio Pisanello   +4 more
wiley   +1 more source

MATHEMATICAL ASPECTS OF AIRCRAFT ENGINES RUNNING OPTIMIZATION FOR MINIMUM FUEL CONSUMPTION WHILE LANDING

Научный вестник МГТУ ГА, 2017
The consistency of the potential increase of fuel efficiency, based on aircraft maintenance optimization, is mathe- matically proved. The mathematical apparatus and a set mathematical model of aircraft spatial motion allow to analyze aircraft behavior on
Y. M. Chinyuchin, V. A. Belkin
doaj  

Design of a Ship Speed Control System Using Hybrid Propulsion Based on Fuzzy Logic

Emitor: Jurnal Teknik Elektro
The maritime transportation sector, especially in archipelagic countries like Indonesia, faces significant challenges in optimising ship speed and fuel efficiency, particularly when using hybrid propulsion systems.
Fajar Surya Muhammad Aldoko, Edi Kurniawan, Romanda Annas Amrullah, Henna Nurdiansari, Wulan Marlia Sandi   +4 more
doaj   +1 more source

Nanotherapies for Atherosclerosis: Targeting, Catalysis, and Energy Transduction

Advanced Healthcare Materials, EarlyView.
Atherosclerosis management is hindered by poor drug targeting and plaque heterogeneity. Nanotechnology overcomes these barriers via three core strategies: (1) target‐engineered nanocarriers that achieve lesion‐specific precision via ligand modification, biomimetic camouflage, stimuli‐responsive release, and self‐propelling nanomotors; (2) catalytic ...
Yuqi Yang, Jingguo Qu, Tonghuan Xiao, Xinyang Han, Michael Tin‐Cheung Ying   +4 more
wiley   +1 more source

A Systematic Literature Review of Adaptive Machine Learning Approaches for Real-Time Fuel Efficiency Optimization in Open-Pit Mining Trucks

Jurnal Sisfokom
Fuel consumption in open-pit mining operations is a significant operational cost, making fuel efficiency an important research topic. This project seeks to investigate the use of adaptive machine learning (ML) methodologies to improve real-time fuel ...
Kusnawi, Mochamad Agung Wibowo, Ridwan Sanjaya   +2 more
doaj   +1 more source

Climate policies for road transport revisited (I): Evaluation of the current framework [PDF]

The global rise of greenhouse gas (GHG) emissions and its potentially devastating consequences require a comprehensive regulatory framework for reducing emissions, including those from the transport sector.
Emily McGlynn, Felix Creutzig, Jan Minx, Ottmar Edenhofer   +3 more
core  

Role of Liquid Composition in the Transient Liquid Assisted Growth of Superconducting YBa2Cu3O7‐δ Films

Advanced Materials, EarlyView.
The Y supersaturation in the [Ba‐Cu(I/II)‐O] transient liquid composition is the driving force toward YBCO nucleation and growth in TLAG. Tuning the initial (Ba:Cu) molar ratio in the ink composition determines the YBCO epitaxial nucleation through supersaturation control.
Lavinia Saltarelli, Diana García, Laia Soler, Elzbieta Pach, Kapil Gupta, Daniel Sanchez‐Rodriguez, Jordi Aguilar, Víctor Fuentes, Eduardo Solano, Cristian Mocuta, Jordi Farjas, Xavier Obradors, Teresa Puig   +12 more
wiley   +1 more source

Intelligent Multi-Objective Path Planning for Unmanned Surface Vehicles via Deep and Fuzzy Reinforcement Learning

Journal of Marine Science and Engineering
Unmanned Surface Vehicles (USVs) are increasingly employed in maritime operations requiring high levels of autonomy, safety, and energy efficiency. However, traditional path planning techniques struggle to simultaneously address multiple conflicting ...
Ioannis A. Bartsiokas, Charis Ntakolia, George Avdikos, Dimitris Lyridis   +3 more
doaj   +1 more source

Fuel cells : state of the art [PDF]

, 2009
Publication CIMNEThis report pretends to explain the state of the art of fuel cells and the applications focused on aviation, such as unmanned aerial vehicles (UAV).
Jarauta Arabí, Àlex, Pons Prats, Jordi
core   +1 more source