Results 71 to 80 of about 1,190 (161)
, 2022 vDört bölümden oluşan bu yüksek lisans tezinin birinci bölümü literatür taraması için girişe ayrılmıştır. ˙Ikinci bölüm diğer bölümlerin daha iyi anlaşılabilmesi için bazı temel kavramlardan oluşmaktadır ki bu bölüm Riemann manifoldları ve Riemann ...
Karataş Kılınç, Beren Nazar
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Para-Sasakian geometry in thermodynamic fluctuation theory
, 2015 In this work we tie concepts derived from statistical mechanics, information theory and contact Riemannian geometry within a single consistent formalism for thermodynamic fluctuation theory. We derive the concrete relations characterizing the geometry of
Bravetti A, Lopez-Monsalvo CS
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Application of a center manifold theory to a reaction-diffusion system of collective motion of camphor disks and boats [PDF]
, 2014 summary:Unidirectional motion along an annular water channel can be observed in an experiment even with only one camphor disk or boat. Moreover, the collective motion of camphor disks or boats in the water channel exhibits a homogeneous and an ...
Ei, Shin-Ichiro +3 more
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, 2008 This dissertation studies classification on smooth manifolds and the behavior of High Dimensional Low Sample Size (HDLSS) data as the dimension increases.
Sen, Suman Kumar
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, 2008 Diffusion Tensor magnetic resonance imaging (DT-MRI) provides a comprehensive characterization of white matter (WM) in the brain and therefore, plays a crucial role in the investigation of diseases in which WM is suspected to be compromised such as ...
Ragini Verma +4 more
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Regression Methods for Replicated Cox Point Process Data and Fréchet Manifold Learning.
, 2022 Data in the form of temporal point processes has received increasing attention in the literature due to advances in technology that allow to record and store large amounts of information such as the individual random times at which an event of interest ...
Gajardo Cataldo, Álvaro Eduardo
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Characterizing and Analyzing Diffusion Tensor Images by Learning their Underlying Manifold Structure
, 2006 The growing importance of diffusion tensor imaging (DTI) in studying the white matter architecture in normal and pathologic states necessitates the development of tools for comprehensive analysis of diffusion tensor data.
Davatzikos, Christos +2 more
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3D Morphable Models: Data Pre-Processing, Statistical Analysis and Fitting [PDF]
, 2011 This thesis presents research aimed at using a 3D linear statistical model (known as a 3D morphable model) of an object class (which could be faces, bodies, cars, etc) for robust shape recovery.
Patel, Ankur, Ankur Patel
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Galilean DKP theory and Bose-Einstein condensation
, 2015 This work is devoted to the development of Galilean Duffin-Kemmer-Petiau (DKP) theory at finite temperature and to the study of Bose-Einstein condensation (BEC).
Pimentel, B. M. [UNESP] +3 more
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Topological hypothesis on phase transitions : the simplest case [PDF]
, 2004 We critically analyze the possibility of finding signatures of a phase transition by looking exclusively at static quantities of statistical systems, like, e.g., the topology of potential energy submanifolds (PES’s).
Stariolo, Daniel Adrian +1 more
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