Results 101 to 110 of about 1,811,075 (266)

Humidity Ramp Protocols Systematically Underestimate Human Heat Tolerance Limits

open access: yesSafety Science and Technology, EarlyView.
Short dwell times in humidity‐ramp protocols (Δt/τ≪1 ${\Delta }t/\tau \mathit{\ll }1$) prevent human core temperature from reaching equilibrium, causing premature inflection points and systematic underestimation of critical environmental limits by ∼3°C–4°C.
Fèlix Faming Wang   +6 more
wiley   +1 more source

Strong ground motion and structural damage in the 2023 Kahramanmaraş earthquakes: A comparative case study of numerical predictions and field observations

open access: yesStructural Concrete, EarlyView.
Abstract On February 6, 2023, southeastern Türkiye was struck by two catastrophic earthquakes (Mw: 7.7 and Mw: 7.6) along the East Anatolian Fault Zone, causing extensive structural failures and significant loss of life. This study evaluates the seismotectonic characteristics of the sequence, analyzes strong ground motion data against the Turkish ...
Saruhan Kartal   +2 more
wiley   +1 more source

Double‐Integration‐Enhanced Stochastic Gradient Descent Based on Neural Dynamics for Improving Generalisation

open access: yesCAAI Transactions on Intelligence Technology, EarlyView.
ABSTRACT Generalisation is a crucial aspect of deep learning, enabling models to perform well on unseen data. Currently, most optimisers that improve generalisation typically suffer from efficiency bottlenecks. This paper proposes a double‐integration‐enhanced stochastic gradient descent (DIESGD) optimiser, which treats the negative gradient as an ...
Ting Li   +3 more
wiley   +1 more source

SDFs from Unoriented Point Clouds using Neural Variational Heat Distances

open access: yesComputer Graphics Forum, EarlyView.
We propose a novel variational approach for computing neural Signed Distance Fields (SDF) from unoriented point clouds. We first compute a small time step of heat flow (middle) and then use its gradient directions to solve for a neural SDF (right). Abstract We propose a novel variational approach for computing neural Signed Distance Fields (SDF) from ...
Samuel Weidemaier   +5 more
wiley   +1 more source

A finite difference method for fractional diffusion equations with Neumann boundary conditions

open access: yesOpen Mathematics, 2015
A finite difference numerical method is investigated for fractional order diffusion problems in one space dimension. The basis of the mathematical model and the numerical approximation is an appropriate extension of the initial values, which incorporates
Szekeres Béla J., Izsák Ferenc
doaj   +1 more source

EvolvED: Evolutionary Embeddings to Understand the Generation Process of Diffusion Models

open access: yesComputer Graphics Forum, EarlyView.
EvolvED visualises how diffusion models generate images by embedding intermediate outputs to preserve semantics and evolutionary structure. It supports analysis via (a) user‐defined goals and prompts, (b) sampling intermediate images, (c) extracting relevant features, and (d) visualising them in structured radial and rectilinear layouts for ...
Vidya Prasad   +5 more
wiley   +1 more source

Adaptive Optical Layers: Efficient Tall Cell Grids for Liquid Simulation

open access: yesComputer Graphics Forum, EarlyView.
Abstract Tall cell grids have been proposed as an efficient approach to accelerate large‐scale liquid simulation. In this framework, regions near the liquid surface are discretized with regular grids, while regions farther away are represented by elongated rectangular cells.
Fumiya Narita, Takashi Kanai
wiley   +1 more source

theta-scheme for solving Caputo fractional differential equations

open access: yesElectronic Journal of Differential Equations
We formulate a \(\theta\)-numerical scheme for solving Caputo fractional differential equations (FDEs) of order  \(\alpha\in(0,1)\), with vector fields satisfying  a standard  Lipschitz continuity condition in the state variable and a  Holder continuity
Thai Son Doan Doan   +2 more
doaj   +1 more source

DiskScissors: Cutting Arbitrary‐Topology Solids for Bijective Mapping

open access: yesComputer Graphics Forum, EarlyView.
Abstract An algorithm for cutting solid objects in a topology‐controlled manner is presented. Concretely, given a loop on the object boundary, a disk‐topology cut surface bounded by the loop is constructed in the interior. In contrast to various previous approaches, both disk topology and conformance to the prescribed loop are ensured by construction ...
S. Hinderink, M. Campen
wiley   +1 more source

Progressively Projected Newton's Method

open access: yesComputer Graphics Forum, EarlyView.
Abstract Newton's Method is widely used to find the solution of complex non‐linear simulation problems. To guarantee a descent direction, it is common practice to clamp the negative eigenvalues of each element Hessian prior to assembly—a strategy known as Projected Newton (PN)—but this perturbation often hinders convergence.
J. A. Fernández‐Fernández   +2 more
wiley   +1 more source

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