Registered Data

[CT124]

  • Session Time & Room
    • CT124 (1/1) : 5D @E803 [Chair: Paul Samuel Ignacio]
  • Classification
    • CT124 (1/1) : Artificial intelligence (68T) / Mechanics of deformable solids (74-)

[02091] Stock Data has Shape: Managing Stock Portfolio via Topology-informed Machine Learning

  • Session Time & Room : 5D (Aug.25, 15:30-17:10) @E803
  • Type : Contributed Talk
  • Abstract : Given time-series data of a stocks portfolio, we generate sequences of point-cloud embeddings and use topology-based features to train a classifier on a binary classification task: determine whether or not a stock performs well on day-to-day trading. Using the trained classifier, we predict which stocks in our portfolio are projected to earn on a future trading day. We evaluate our topology-informed classifier via standard metrics and projected cumulative earnings based on a tier-structured investment scheme.
  • Classification : 68Txx, 68Uxx, Machine Learning
  • Format : Talk at Waseda University
  • Author(s) :
    • Paul Samuel Ignacio (University of the Philippines Baguio)

[00031] Stoneley wave in the transversely isotropic thermoelastic diffusion materials

  • Session Time & Room : 5D (Aug.25, 15:30-17:10) @E803
  • Type : Contributed Talk
  • Abstract : This paper investigate the secular equations of Stoneley wave propagating through bonded and unbonded interfaces between two dissimilar transversely isotropic thermoelastic diffusion half-spaces. These equations are solved numerically by modelling two distinct crustal rocks and the resultant phase velocities and attenuations are plotted graphically. This analysis explicates the position and permeability of fractures and also helps in the assessment of valuable materials under earth’s crust. Some particular cases are also deduced from the present formulation.
  • Classification : Continuum Mechanics
  • Format : Talk at Waseda University
  • Author(s) :
    • Sanjay Debnath (Mizoram University)

[01045] Advances on intimate partner femicide applying machine learning techniques and algorithms

  • Session Time & Room : 5D (Aug.25, 15:30-17:10) @E803
  • Type : Contributed Talk
  • Abstract : Intimate partner femicide (IPF) is female’s leading cause of violent death worldwide. The accuracy of existing risk assessment instruments for IPF developed by conventional statistics is not completely competitive. In this study, machine learning techniques and algorithms for classification were used to discriminate between lethal or non-lethal violence against women by intimate partners and to detect which variables discern them the most. The obtained evidenced-based knowledge could assist professionals in predicting and preventing lethality.
  • Classification : 68Txx
  • Author(s) :
    • Esperanza Garcia-Vergara (Universidad Loyola Andalucia)
    • Carlos Fresneda-Portillo (Universidad Loyola Andalucía (Spain))

[02472] Geometry and mechanics of shape-programmable systems

  • Session Time & Room : 5D (Aug.25, 15:30-17:10) @E803
  • Type : Contributed Talk
  • Abstract : Modern responsive materials such as liquid crystal elastomers (LCEs) can be pre-programmed to undergo spatially inhomogeneous deformations in response to external stimuli such as heat and light. Shape-programming of LCEs has been the subject of intense research in recent years, resulting in the discovery of patterning designs and techniques that allow flat 2D sheets to assume target geometries upon activation. In this talk, we present recent mathematical, computational and experimental advances in shape-programming of LCEs.
  • Classification : 74-04, 74-10, 74S05, 74M05, 74G65
  • Format : Talk at Waseda University
  • Author(s) :
    • Daniel Duffy (University of Cambridge)
    • Cyrus Mostajeran (Nanyang Technological University)
    • John Simeon Biggins (University of Cambridge)
    • Timothy J White (University of Colorado Boulder)
    • Mark Warner (University of Cambridge)

[00397] A continuum model for the bulldozing of an immersed granular material in a confined geometry

  • Session Time & Room : 5D (Aug.25, 15:30-17:10) @E803
  • Type : Contributed Talk
  • Abstract : We present a reduced-order continuum model for the bulldozing of an immersed, sedimented granular material by a rigid piston in a fluid filled gap between two parallel plates. In our model, the granular pile and the overlying fluid layer evolves as coupled thin-films. We solve our model numerically for a variety of different scenarios to develop insight into the interactions between wall friction, internal viscous-like stresses, and fluid flow both above and through the pile.
  • Classification : 74-10, 76-10
  • Format : Talk at Waseda University
  • Author(s) :
    • Liam Morrow (University of Oxford)
    • Chris MacMinn (University of Oxford)