The Earthquake Risk Model of Switzerland, ERM-CH23

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This article focuses on the study of lactating sows, where the main interest is the influence of temperature, measured throughout the day, on the lower quantiles of the daily feed intake. We outline a model framework and estimation methodology for quantile ...

We describe a novel method to compute the components of dynamo tensors from direct magnetohydrodynamic (MHD) simulations. Our method relies upon an extension and generalization of the standard H & ouml;gbom CLEAN algorithm widely used in radio astronomy to ...

Current post-earthquake damage assessment methodologies are not only time-consuming but also subjective in nature and difficult to document. Recent advancements in artificial intelligence and technological devices make it possible to accomplish this task a ...

This paper presents a benchmark exercise for the seismic assessment of unreinforced masonry (URM) buildings as a follow-up of a blind prediction test organized in the context of the European Conference of Earthquake Engineering Series. The blind prediction ...

Air-conditioning systems contribute the most to energy consumption among building equipment. Hence, energy saving for air-conditioning systems would be the essence of reducing building energy consumption. The conventional energy-saving diagnosis method thr ...

Evaluating earthquake-induced losses, such as structural repair costs, downtime and casualties, is becoming a standard practice within the performance-based earthquake engineering framework. Nonetheless, this evaluation is a demanding task that requires de ...

Objective. Optic nerve's intraneural stimulation is an emerging neuroprosthetic approach to provide artificial vision to totally blind patients. An open question is the possibility to evoke individual non-overlapping phosphenes via selective intraneural op ...

How many training data are needed to learn a supervised task? It is often observed that the generalization error decreases as n(-beta) where n is the number of training examples and beta is an exponent that depends on both data and algorithm. In this work ...

The Multi-Directional Hybrid Testing System (MDHTS) at Polytechnique Montreal is an advanced structural testing system that can be used to study the response of large-scale structural components such as columns, walls, or bridge piers subjected to any comb ...

During severe seismic events the base of unanchored steel liquid-storage tanks can uplift, causing large inelastic rotation demands at the shell-to-base connections. With repeated cycles of uplift, these shell-to-base connections are susceptible to low-cyc ...

The Earthquake Risk Model of Switzerland, ERM-CH23

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Quantile Regression for Longitudinal Functional Data with Application to Feed Intake of Lactating Sows

Iterative removal of sources to model the turbulent electromotive force

Automated post-earthquake damage assessment of stone masonry buildings integrating machine learning, computer vision, and physics-based modeling

Benchmarking the seismic assessment of unreinforced masonry buildings from a blind prediction test

Systematic Method for the Energy-Saving Potential Calculation of Air-Conditioning Systems via Data Mining. Part I: Methodology

EaRL: An Open-Source Software for Earthquake Risk, Loss and Lifecycle Assessment

A machine-learning algorithm correctly classifies cortical evoked potentials from both visual stimulation and electrical stimulation of the optic nerve

Asymptotic learning curves of kernel methods: empirical data versus teacher-student paradigm

Multi-Directional Structural Component Hybrid Testing System for the Assessment of the Seismic Response of Steel I-Shaped Columns

Fatigue analysis of unanchored steel liquid storage tank shell-to-base connections during earthquake induced uplift