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A brief history of nearly EV‐erything – The rise and rise of extracellular vesicles
Journal of Extracellular Vesicles, 2021 Extracellular vesicles (EVs) are small cargo‐bearing vesicles released by cells into the extracellular space. The field of EVs has grown exponentially over the past two decades; this growth follows the realisation that EVs are not simply a waste disposal
Y. Couch +11 more
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Multiplexed analysis of EV reveals specific biomarker composition with diagnostic impact
Nature Communications, 2023 Exosomes and extracellular vesicles (EV) are increasingly being explored as circulating biomarkers, but their heterogenous composition will likely mandate the development of multiplexed EV technologies. Iteratively multiplexed analyses of near single EVs
J. Spitzberg +5 more
semanticscholar +1 more source
EV-FlowNet: Self-Supervised Optical Flow Estimation for Event-based Cameras [PDF]
Robotics: Science and Systems, 2018 Event-based cameras have shown great promise in a variety of situations where frame based cameras suffer, such as high speed motions and high dynamic range scenes. However, developing algorithms for event measurements requires a new class of hand crafted
A. Z. Zhu +3 more
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Ev-NeRF: Event Based Neural Radiance Field [PDF]
IEEE Workshop/Winter Conference on Applications of Computer Vision, 2022 We present Ev-NeRF, a Neural Radiance Field derived from event data. While event cameras can measure subtle brightness changes in high frame rates, the measurements in low lighting or extreme motion suffer from significant domain discrepancy with complex
I. Hwang, Junho Kim, Y. Kim
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Inequitable Access to EV Charging Infrastructure [PDF]
Electricity Journal, 2021 Access to and affordability of electric vehicle (EV) charging infrastructure are the two prominent barriers for EV adoption. While major efforts are underway in the United States to roll-out public EV charging infrastructure, persistent social ...
Hamzullah Khan +3 more
semanticscholar +1 more source
Reliability of Power Electronic Systems for EV/HEV Applications
Proceedings of the IEEE, 2021 The electrification of the transportation sector is moving on at a fast pace. All car manufacturers have strong programs to electrify their car fleet to fulfill the demands of society and customers by offering carbon-neutral technologies to bring goods ...
F. Blaabjerg +4 more
semanticscholar +1 more source
Journal of Extracellular Vesicles, 2020 Extracellular vesicles (EVs) are small, heterogeneous and difficult to measure. Flow cytometry (FC) is a key technology for the measurement of individual particles, but its application to the analysis of EVs and other submicron particles has presented ...
J. Welsh +26 more
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Prediction of EV Charging Behavior Using Machine Learning
IEEE Access, 2021 As a key pillar of smart transportation in smart city applications, electric vehicles (EVs) are becoming increasingly popular for their contribution in reducing greenhouse gas emissions.
Sakib Shahriar +4 more
semanticscholar +1 more source
Reinforcement Learning Based EV Charging Management Systems–A Review
IEEE Access, 2021 To mitigate global warming and energy shortage, integration of renewable energy generation sources, energy storage systems, and plug-in electric vehicles (PEVs) have been introduced in recent years.
H. Abdullah, A. Gastli, L. Ben‐Brahim
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Constrained EV Charging Scheduling Based on Safe Deep Reinforcement Learning
IEEE Transactions on Smart Grid, 2020 Electric vehicles (EVs) have been popularly adopted and deployed over the past few years because they are environment-friendly. When integrated into smart grids, EVs can operate as flexible loads or energy storage devices to participate in demand ...
Hepeng Li, Zhiqiang Wan, Haibo He
semanticscholar +1 more source