Results 201 to 210 of about 14,047 (249)
Thermo-hydro-mechanical response of energy-piled walls under varying wall configurations, pipe layouts, and seepage conditions. [PDF]
Sci RepVillegas L, Narsilio G, Fuentes R.
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Abdominal Stent Graft Numerical Models to Virtually Simulate Endovascular Aortic Repair: A Scoping Review. [PDF]
EJVES Vasc Forumde Campo G +8 more
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Random Neural Networks for Rough Volatility. [PDF]
Appl Math OptimJacquier A, Žurič Ž.
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The Case Against the ‘S’: Is Functional Neurological Disorder(s) One Condition or Many?
Palmer DD, Edwards MJ, Mattingley JB.
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Control of spatial discretisation in coastal oil spill modelling [PDF]
International Journal of Applied Earth Observation and Geoinformation, 2007 Spatial discretisation plays an important role in many numerical environmental models. This paper studies the control of spatial discretisation in coastal oil spill modelling with a view to assure the quality of modelling outputs for given spatial data ...
Li, Yang
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Discretised general fractional derivative
Mathematics and Computers in Simulation, 2023zbMATH Open Web Interface contents unavailable due to conflicting licenses.
Enyu Fan, Changpin Li, Martin Stynes
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MIL: a data discretisation approach
International Journal of Data Mining, Modelling and Management, 2011Data discretisation is an important step in the process of machine learning, since it is easier for classifiers to deal with discrete attributes rather than continuous attributes. Over the years, several methods of performing discretisation such as Boolean reasoning, equal frequency binning, entropy have been proposed, explored, and implemented.
Shib Sana, Kripasindhu Chaudhuri
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Adaptive Discretisation of Shell Problems
ZAMM - Journal of Applied Mathematics and Mechanics / Zeitschrift für Angewandte Mathematik und Mechanik, 2000AbstractA seven parameter Reißner‐Mindlin shell kinematic is employed for a elastoplastic material with hardening. The resulting nonlinear minimization problem is discretised within a finite element method on the mid surface of the shell. A posteriori error estimates are discussed and related adaptive algorithms are presented.
Hecht, Axel +2 more
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Duration discretisation for activity recognition
Technology and Health Care, 2007Activity recognition has become a key component within smart environments that aim at providing assistive solutions for their users. Learning high level activities from low level sensor data depends on several parameters, one of which is the duration of the activities themselves.
Priyanka, Chaurasia +3 more
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