Results 41 to 50 of about 6,830,142 (327)

Diagnostic accuracy of computed tomography perfusion in the prediction of haemorrhagic transformation and patient outcome in acute ischaemic stroke: A systematic review and meta-analysis

European Stroke Journal, 2019
Purpose The aim of this systematic review and meta-analysis is to determine the diagnostic accuracy of computed tomography brain perfusion in the prediction of haemorrhagic transformation and patient outcome in acute ischaemic stroke.
Olushola D Adebayo, G. Culpan
semanticscholar   +1 more source

Elevated vascular transformation blood biomarkers in Long-COVID indicate angiogenesis as a key pathophysiological mechanism

Molecular Medicine, 2022
Background Long-COVID is characterized by prolonged, diffuse symptoms months after acute COVID-19. Accurate diagnosis and targeted therapies for Long-COVID are lacking. We investigated vascular transformation biomarkers in Long-COVID patients.
Maitray A. Patel, M. Knauer, M. Nicholson, Mark Daley, L. V. Van Nynatten, Claudio Martin, E. Patterson, G. Cepinskas, Shannon Seney, Verena Dobretzberger, M. Miholits, B. Webb, D. Fraser   +12 more
semanticscholar   +1 more source

Short-Term Nacelle Orientation Forecasting Using Bilinear Transformation and ICEEMDAN Framework

Frontiers in Energy Research, 2021
To maximize energy extraction, the nacelle of a wind turbine follows the wind direction. Accurate prediction of wind direction is vital for yaw control.
Huajin Li, Jiahao Deng, Peng Feng, Chuanhao Pu, Dimuthu D. K. Arachchige, Qian Cheng   +5 more
semanticscholar   +1 more source

Generalizing Deep Learning for Medical Image Segmentation to Unseen Domains via Deep Stacked Transformation

IEEE Transactions on Medical Imaging, 2020
Recent advances in deep learning for medical image segmentation demonstrate expert-level accuracy. However, application of these models in clinically realistic environments can result in poor generalization and decreased accuracy, mainly due to the ...
Ling Zhang, Xiaosong Wang, Dong Yang, Thomas Sanford, S. Harmon, B. Turkbey, B. Wood, H. Roth, Andriy Myronenko, Daguang Xu, Ziyue Xu   +10 more
semanticscholar   +1 more source

A Rapid Coordinate Transformation Method Applied in Industrial Robot Calibration Based on Characteristic Line Coincidence

Sensors, 2016
Coordinate transformation plays an indispensable role in industrial measurements, including photogrammetry, geodesy, laser 3-D measurement and robotics. The widely applied methods of coordinate transformation are generally based on solving the equations ...
Bailing Liu, Fumin Zhang, Xinghua Qu, Xiaojia Shi   +3 more
doaj   +1 more source

Pricing and Hedging Asian Basket Options with Quasi-Monte Carlo Simulations [PDF]

, 2009
In this article we consider the problem of pricing and hedging high-dimensional Asian basket options by Quasi-Monte Carlo simulation. We assume a Black-Scholes market with time-dependent volatilities and show how to compute the deltas by the aid of the ...
A Alfonsi, A Kohatsu-Higa, A Owen, A Papageorgiou, D Brigo, D Nualart, E Fournié, IM Sobol, J Imai, J Matoušek, LO Dahl, M Stein, Nicola Cufaro Petroni, P Acworth, P Glasserman, P Sabino, Piergiacomo Sabino, R Caflisch, S Paskov, X Wang   +19 more
core   +4 more sources

The Effects of Grid Accuracy on Flow Simulations: A Numerical Assessment

Fluids, 2020
High-quality, accurate grid generation is a critical challenge in the computational simulation of fluid flows around complex geometries. In particular, the accuracy of the grids is an effective factor in order to achieve a successful numerical simulation.
Majid Allahyari, Vahid Esfahanian, Kianoosh Yousefi   +2 more
doaj   +1 more source

Introducing engineering undergraduates to CNC machine tool error compensation

Advances in Industrial and Manufacturing Engineering, 2022
For manually operated machine tools, the accuracy of the machine tool structure limits the accuracy of the parts produced. Such is not necessarily the case with computer numerically controlled (CNC) machine tools.
Abhijit Bhattacharyya, Tony L. Schmitz, Scott W.T. Payne, Palash Roy Choudhury, John K. Schueller   +4 more
doaj   +1 more source

The Effectiveness of Image Augmentation in Deep Learning Networks for Detecting COVID-19: A Geometric Transformation Perspective

Frontiers in Medicine, 2021
Chest X-ray imaging technology used for the early detection and screening of COVID-19 pneumonia is both accessible worldwide and affordable compared to other non-invasive technologies.
M. Elgendi, M. U. Nasir, Qunfeng Tang, David L Smith, J. Grenier, Catherine Batte, B. Spieler, W. Leslie, C. Menon, R. Fletcher, Newton Howard, R. Ward, William Parker, S. Nicolaou   +13 more
semanticscholar   +1 more source

ROBUST MOSAICKING OF UAV IMAGES WITH NARROW OVERLAPS [PDF]

The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences, 2016
This paper considers fast and robust mosaicking of UAV images under a circumstance that each UAV images have very narrow overlaps in-between. Image transformation for image mosaicking consists of two estimations: relative transformations and global ...
J. Kim, T. Kim, D. Shin, S. H. Kim
doaj   +1 more source