Results 51 to 60 of about 2,113 (198)
Bir dizel motorun NEDC ve WLTC yöntemlerine göre emisyon değerlerinin karşılaştırılarak incelenmesi [PDF]
, 2019 06.03.2018 tarihli ve 30352 sayılı Resmi Gazetede yayımlanan “Yükseköğretim Kanunu İle Bazı Kanun Ve Kanun Hükmünde Kararnamelerde Değişiklik Yapılması Hakkında Kanun” ile 18.06.2018 tarihli “Lisansüstü Tezlerin Elektronik Ortamda Toplanması ...
Gögebakan, Emrah
core
Energies, 2017 Although Hybrid Electric Vehicles (HEVs) represent one of the key technologies to reduce CO2 emissions, their effective potential in real world driving conditions strongly depends on the performance of their Energy Management System (EMS) and on its ...
Claudio Cubito +8 more
doaj +1 more source
Machines, 2022 Hydraulic mechanical continuously variable transmission (HMCVT) is a transmission system combining mechanical and hydraulic power flow. The matching and design of the power source and transmission system contribute to the energy-saving and emission ...
Yuting Chen, Zhun Cheng, Yu Qian
doaj +1 more source
Advanced Science, Volume 13, Issue 12, 27 February 2026.A comprehensive technology platform enables high‐fidelity, volumetric MALDI imaging of 3D cell cultures by integrating custom embedding molds, a semi‐automated computational framework for 3D reconstruction, voxel‐instead of pixel‐based biomarker discovery, and immersive mixed reality data exploration.
Stefania Alexandra Iakab +16 more
wiley +1 more source
Research on the Fuel Saving Effect of Idle Parking car Based on NEDC System Analysis [PDF]
Proceedings of the 4th International Conference on Mechatronics, Materials, Chemistry and Computer Engineering 2015, 2015 Objective: To study the technology of auxiliary motor starting and stopping of the direct injection gasoline engine, and analyze the effect of the idle start stop system and oil saving energy. Method: the fuel saving effect analysis of the fuel saving effect of the system is analyzed by the multiple model.
Xiangsheng Dai, Youde Li, Jiapeng Lu
openaire +1 more source
Advanced Energy and Sustainability Research, Volume 7, Issue 1, January 2026.This study compares the gassing behavior of Na‐ion cells with NaMnO2 cathode and various NaClO4‐ and NaPF6‐based electrolyte formulations using differential electrochemical mass spectrometry. Those containing ethylene carbonate, propylene carbonate, and dimethyl carbonate as solvents and fluoroethylene carbonate as an additive exhibit minimal gas ...
Siyu An +4 more
wiley +1 more source
, 2022 Since 1997, the NEDC (New European Driving Cycle) has been used to measure CO2 emissions. However, because this cycle is unable to accurately replicate real-world driving conditions, a new procedure has been developed.
Karamangil, M. İhsan, Tekin, Merve
core
Advanced Tissue Imprinting With Pneumatic Press for Mass Spectrometry Imaging of Plant Tissues
Journal of Mass Spectrometry, Volume 61, Issue 1, January 2026.ABSTRACT Sample preparation is an important first step to obtain high quality mass spectrometry imaging (MSI) data. Preparing plant tissues is especially challenging for MSI of thin tissues along the lateral dimensions. The unique challenges involved with plant tissues, such as fragile cell walls, hydrophobic barriers, and specific tissue structures ...
Pubudu Nuwan Perera Hapuarachchige +2 more
wiley +1 more source
IET Electric Power Applications, Volume 20, Issue 1, January/December 2026.A new down‐scaling method for the laboratory based analysis of transient drive cycles is proposed and analysed. In contrast to the typically used dimensionless per unit steady‐state operating‐point based scaling methods, this approach also considers information on the cycles' transient characteristics in the scaling process. ABSTRACT Standardised drive
Pawan Kumar Dhakal +3 more
wiley +1 more source
Scaled Custom Attention for Enhanced Temporal Dependency Modeling in EEG Classification
IET Signal Processing, Volume 2026, Issue 1, 2026.Accurate electroencephalography (EEG) signals classification is essential for diagnosing brain disorders such as epilepsy. Whereas deep learning models such as convolution neural networks (CNNs) and long short‐term memory (LSTM) improved EEG classification performance over traditional methods, existing attention mechanisms such as Additive, Luong, and ...
Swaleh Omar +4 more
wiley +1 more source