Results 1 to 10 of about 611,251 (307)
Challenges and Opportunities of Centrifugal Microfluidics for Extreme Point-of-Care Testing [PDF]
Micromachines, 2016 The advantages offered by centrifugal microfluidic systems have encouraged its rapid adaptation in the fields of in vitro diagnostics, clinical chemistry, immunoassays, and nucleic acid tests.
Issac J. Michael +3 more
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Electrocardiogram Signal Denoising Using Extreme-Point Symmetric Mode Decomposition and Nonlocal Means [PDF]
Sensors, 2016 Electrocardiogram (ECG) signals contain a great deal of essential information which can be utilized by physicians for the diagnosis of heart diseases. Unfortunately, ECG signals are inevitably corrupted by noise which will severely affect the accuracy of
Xiaoying Tian +5 more
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The GenePOC Platform, a Rational Solution for Extreme Point-of-Care Testing [PDF]
Micromachines, 2016 Extreme point-of-care (POC) testing for infections, as performed (endured) in low-resource settings, developing countries, tropical areas, or in conditions following emergency crises or natural disasters, must be undertaken under environmental, logistic,
Luc Bissonnette, Michel G. Bergeron
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CD-Based Microfluidics for Primary Care in Extreme Point-of-Care Settings [PDF]
Micromachines, 2016 We review the utility of centrifugal microfluidic technologies applied to point-of-care diagnosis in extremely under-resourced environments. The various challenges faced in these settings are showcased, using areas in India and Africa as examples ...
Suzanne Smith +12 more
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Random resistive memory-based deep extreme point learning machine for unified visual processing [PDF]
Nature CommunicationsVisual sensors, including 3D light detection and ranging, neuromorphic dynamic vision sensor, and conventional frame cameras, are increasingly integrated into edge-side intelligent machines.
Shaocong Wang +23 more
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Energies, 2019 Due to the nonlinear and non-stationary characteristics of the carbon price, it is difficult to predict the carbon price accurately. This paper proposes a new novel hybrid model for carbon price prediction. The proposed model consists of an extreme-point
Jianguo Zhou +3 more
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Error Function and Certain Subclasses of Analytic Univalent Functions [PDF]
Sahand Communications in Mathematical Analysis, 2023 In the present investigation, our main aim is to introduce a certain subclass of analytic univalent functions related to the Error function. We discuss the implications of our main results, including the coefficient bound, extreme points, weighted mean ...
Seyed Hadi Sayedain Boroujeni +1 more
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Application of construction site management based on digital twin and point cloud semantic segmentation technology. [PDF]
PLoS ONEConstruction sites are particularly susceptible to the effects of extreme weather, with unsafe items posing a significant risk of causing substantial damage to construction projects and neighboring communities.
Wenli Qin
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Objects as Extreme Points [PDF]
, 2021 Object detection can be regarded as a pixel clustering task, and its boundary is determined by four extreme points (leftmost, top, rightmost, and bottom). However, most studies focus on the center or corner points of the object, which are actually conditional results of the extreme points.
Yang Yang 0087 +5 more
openaire +2 more sources
Modeling Under-Reporting in Cyber Incidents
Risks, 2022 Under-reporting in cyber incidents is a well-established problem. Due to reputational risk and the consequent financial impact, a large proportion of incidents are never disclosed to the public, especially if they do not involve a breach of protected ...
Seema Sangari +2 more
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