Results 1 to 10 of about 11,318,306 (287)
Contributions of Support Point Number to Mirror Assembly Thermal Sensitivity Control [PDF]
Sensors, 2023 Due to the extreme environmental temperature variations, solutions that enable ultra-low thermal sensitivity in a mirror assembly are crucial for high-performance aerial optical imaging sensors (AOIS).
Haixing Li +4 more
doaj +2 more sources
Evaluating a clinical decision support point of care instrument in low resource setting [PDF]
BMC Medical Informatics and Decision Making, 2023 Background Clinical pathways are one of the main tools to manage the health care’s quality and concerned with the standardization of care processes. They have been used to help frontline healthcare workers by presenting summarized evidence and generating
Geletaw Sahle Tegenaw +5 more
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Dynamic balance of circles with one support point on pommel horse exercise [PDF]
Scientific ReportsDouble-leg circles on pommel horse exercises require a high degree of dynamic balance. However, theoretical conditions for maintaining dynamic balance are unclear.
Taiga Yamasaki +6 more
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Breakdown Point of Robust Support Vector Machines [PDF]
Entropy, 2017 Support vector machine (SVM) is one of the most successful learning methods for solving classification problems. Despite its popularity, SVM has the serious drawback that it is sensitive to outliers in training samples.
Takafumi Kanamori +2 more
doaj +3 more sources
AN EXTENSION OF CITYJSON TO SUPPORT POINT CLOUDS [PDF]
The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences, 2021 The combination between dense point clouds and 3D vector objects permits new cartographic representation of urban information. This paper proposes an extension for the CityJSON encoding to support point clouds.
G.-A. Nys +3 more
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UNSUPERVISED OBJECT-BASED CLUSTERING IN SUPPORT OF SUPERVISED POINT-BASED 3D POINT CLOUD CLASSIFICATION [PDF]
The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences, 2021 The number of approaches available for semantic segmentation of point clouds has grown exponentially in recent years. The availability of numerous annotated datasets has resulted in the emergence of deep learning approaches with increasingly promising ...
E. Grilli, F. Poux, F. Remondino
doaj +1 more source
The Annals of Statistics, 2018 This paper introduces a new way to compact a continuous probability distribution $F$ into a set of representative points called support points. These points are obtained by minimizing the energy distance, a statistical potential measure initially proposed by Székely and Rizzo (2004) for testing goodness-of-fit.
Mak, Simon, Joseph, V. Roshan
openaire +3 more sources
CHANGE DETECTION FROM POINT CLOUDS TO SUPPORT INDOOR 3D CADASTRE [PDF]
The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences, 2018 Recently in The Netherlands, there are many examples of changes in the functionalities of buildings over time. Tracking these changes could be challenging when the building geometry will change as well; for example a change from administrative to ...
S. Nikoohemat +3 more
doaj +1 more source
Point of care ultrasound: a clinical decision support tool for COVID-19
Singapore Medical Journal, 2023 The COVID-19 global pandemic has overwhelmed health services with large numbers of patients presenting to hospital, requiring immediate triage and diagnosis.
Suneel Ramesh Desai +4 more
doaj +1 more source