Results 21 to 30 of about 17,776,929 (243)

Modeling digital camera monitoring count data with intermittent zeros for short-term prediction

open access: yesHeliyon, 2022
Digital camera monitoring has revolutionised survey designs in many fields, as an important source of information. The extended sampling coverage offered by this monitoring scheme makes it preferable compared to other traditional methods of survey ...
E. Afrifa-Yamoah, U.A. Mueller
doaj   +1 more source

Detection of Intermittent Oscillation in Process Control Loops with Semi-Supervised Learning

open access: yesJurnal Rekayasa Elektrika, 2023
Oscillations in the control loops indicate the poor performance of the control loops. The occurrence of oscillations in the process control loop is quite high in the industry, so it needs to be reduced so that the control loop can work properly.
Nova Zidane Ibrahim   +2 more
doaj   +1 more source

Intermittent heat instabilities in an air plume [PDF]

open access: yesNonlinear Processes in Geophysics, 2016
We report the results of heating experiments carried out in an abandoned limestone quarry close to Paris, in an isolated room of a volume of about 400 m3. A heat source made of a metallic resistor of power 100 W was installed on the floor of the room, at
J.-L. Le Mouël   +3 more
doaj   +1 more source

Multivariate physiological recordings in an experimental hemorrhage model

open access: yesData in Brief, 2018
In this paper we describe a data set of multivariate physiological measurements recorded from conscious sheep (N = 8; 37.4 ± 1.1 kg) during hemorrhage. Hemorrhage was experimentally induced in each animal by withdrawing blood from a femoral artery at two
Farid Yaghouby   +12 more
doaj   +1 more source

Smart PV Inverter Cyberattack Detection Using Hardware-in-the-Loop Test Facility

open access: yesIEEE Access, 2023
This paper evaluates residential smart photovoltaic (PV) inverters’ responses to cyberattacks and assesses the performance of an intrusion detection strategy for smart grid devices by comparing time-series power flow results from a simulation ...
Thunchanok Kaewnukultorn   +5 more
doaj   +1 more source

Intermittent Chaos in the CSTR Bray–Liebhafsky Oscillator-Specific Flow Rate Dependence

open access: yesFrontiers in Chemistry, 2020
Dynamic states with intermittent oscillations consist of a chaotic mixture of large amplitude relaxation oscillations grouped in bursts, and between them, small-amplitude sinusoidal oscillations, or even the quiescent parts, known as gaps. In this study,
Itana Nuša Bubanja   +6 more
doaj   +1 more source

Cluster-Based Forecasting for Intermittent and Non-intermittent Time Series

open access: yes, 2021
Producing accurate forecasts is an essential part of successful inventory management for any retail business. Previous research has shown that the clustering of time series data into disjoint clusters can reduce the forecast error, eventually leading to ...
van de Looij, T.   +3 more
core   +1 more source

Intermittent particle dynamics in marine coastal waters [PDF]

open access: yesNonlinear Processes in Geophysics, 2015
Marine coastal processes are highly variable over different space scales and timescales. In this paper we analyse the intermittency properties of particle size distribution (PSD) recorded every second using a LISST instrument (Laser In-Situ Scattering ...
P. R. Renosh, F. G. Schmitt, H. Loisel
doaj   +1 more source

Comparison of selection and combination strategies for demand forecasting methods [PDF]

open access: yesProduction, 2020
Paper aims In this study, effective strategies to combine and select forecasting methods are proposed. In the selection strategy, the best performing forecasting method from a pool of methods is selected based on its accuracy, whereas the combination ...
Saymon Galvão Bandeira   +3 more
doaj   +1 more source

Deep Learning Pose Estimation for Phenotyping of Co‐Occurring Hyperkinetic Movement Disorders

open access: yesAnnals of Clinical and Translational Neurology, EarlyView.
ABSTRACT Objective To explore whether routine outpatient video combined with deep learning‐based pose estimation and clinically interpretable kinematic features can support multi‐label phenotyping of co‐occurring hyperkinetic movement disorders (HMDs).
Laura Cif   +17 more
wiley   +1 more source

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