Advdo: Realistic adversarial attacks for trajectory prediction
Trajectory prediction is essential for autonomous vehicles (AVs) to plan correct and safe
driving behaviors. While many prior works aim to achieve higher prediction accuracy, few …
driving behaviors. While many prior works aim to achieve higher prediction accuracy, few …
Calibration of a hypoplastic model using genetic algorithms
This article proposes an optimization framework, based on genetic algorithms (GA), to
calibrate the constitutive law of von Wolffersdorff. This constitutive law, known as Sand …
calibrate the constitutive law of von Wolffersdorff. This constitutive law, known as Sand …
On the automatic parameter calibration of a hypoplastic soil model
This paper presents an approach for the automatic parameter calibration (AC) of a
hypoplastic constitutive soil model. The calibration software developed in this work simplifies …
hypoplastic constitutive soil model. The calibration software developed in this work simplifies …
[HTML][HTML] How can we justify grouping of nanoforms for hazard assessment? Concepts and tools to quantify similarity
N Jeliazkova, E Bleeker, R Cross, A Haase, G Janer… - NanoImpact, 2022 - Elsevier
The risk of each nanoform (NF) of the same substance cannot be assumed to be the same,
as they may vary in their physicochemical characteristics, exposure and hazard. However …
as they may vary in their physicochemical characteristics, exposure and hazard. However …
Contextual dependencies expand the re-usability of genetic inverters
The implementation of Boolean logic circuits in cells have become a very active field within
synthetic biology. Although these are mostly focussed on the genetic components alone, the …
synthetic biology. Although these are mostly focussed on the genetic components alone, the …
Simulating travel paths of construction site workers via deep reinforcement learning considering their spatial cognition and wayfinding behavior
Many optimization methods for construction site layout planning (CSLP) generate the
shortest path of workers to calculate traveling costs and site safety performance. However …
shortest path of workers to calculate traveling costs and site safety performance. However …
Imitationflow: Learning deep stable stochastic dynamic systems by normalizing flows
We introduce ImitationFlow, a novel Deep generative model that allows learning complex
globally stable, stochastic, nonlinear dynamics. Our approach extends the Normalizing …
globally stable, stochastic, nonlinear dynamics. Our approach extends the Normalizing …
[HTML][HTML] Robust and efficient fixed-point algorithm for the inverse elastostatic problem to identify myocardial passive material parameters and the unloaded reference …
Image-based computational models of the heart represent a powerful tool to shed new light
on the mechanisms underlying physiological and pathological conditions in cardiac function …
on the mechanisms underlying physiological and pathological conditions in cardiac function …
The LSST Era of Supermassive Black Hole Accretion Disk Reverberation Mapping
AB Kovačević, V Radović, D Ilić… - The Astrophysical …, 2022 - iopscience.iop.org
Abstract The Vera C. Rubin Observatory's Legacy Survey of Space and Time (LSST) will
detect an unprecedentedly large sample of actively accreting supermassive black holes with …
detect an unprecedentedly large sample of actively accreting supermassive black holes with …
Gas dynamics in the galaxy: total mass distribution and the bar pattern speed
Z Li, J Shen, O Gerhard, JP Clarke - The Astrophysical Journal, 2022 - iopscience.iop.org
Gas morphology and kinematics in the Milky Way contain key information for understanding
the formation and evolution of our Galaxy. We present hydrodynamical simulations based on …
the formation and evolution of our Galaxy. We present hydrodynamical simulations based on …