Results 151 to 160 of about 97,564 (280)
This study leverages machine learning algorithms—specifically artificial neural networks (ANN) and genetic programming (GP)—to forecast and analyze variations in vault settlement measurements during excavation of small interval tunnel. A settlement prediction model was developed and validated through comparative analysis with regression to evaluate the
Wenjie Zhai +7 more
wiley +1 more source
An adaptive fuzzy controller using an interval type‐3 fuzzy logic system replaces the SMC switching term to mitigate chattering while preserving global stability for islanded inverters. Simulations show lower THD, greater robustness to disturbances and parameter variations, and improved voltage‐tracking accuracy, with applicability to other uncertain ...
Man‐Wen Tian +7 more
wiley +1 more source
A real‐time, data‐driven framework detects and classifies photovoltaic array faults using edge sensing and server‐side machine learning. Ensemble tree models achieve near‐perfect accuracy with low latency, enabling practical, low‐cost deployment for reliable PV monitoring and intelligent maintenance.
Premkumar Manoharan +4 more
wiley +1 more source
Limit cycles of continuous and discontinuous piecewise-linear differential systems in R³
We study the limit cycles of two families of piecewise-linear differential systems in R³ with two pieces separated by a plane Ʃ. In one family the differential systems are only continuous on the plane Ʃ, and in the other family they are only discontinuous on the plane Ʃ.
De Freitas, Bruno R. +2 more
openaire +4 more sources
Point and Risk estImation Using an enSemble of Models for Nowcasting: PRISM‐Now
ABSTRACT We propose PRISM‐Now, a novel ensemble forecasting system for near‐term GDP projection. Recognizing that relevant economic information evolves over time, we treat forecasts from multiple base models as draws from a mixture distribution of “good” and “bad” estimates, whose composition changes continuously and cannot be identified ex ante.
Beomseok Seo, Hyungbae Cho, Dongjae Lee
wiley +1 more source
Abstract Background There are substantial age‐related changes in emotional and behavioural problems over childhood. In order to establish the impact of the Covid‐19 pandemic on child emotional and behavioural problems, longitudinal designs which take into account age‐related trends are needed.
Nicky Wright +13 more
wiley +1 more source
A unified Haar wavelet collocation framework for fractional volterra integro-differential equations with application to tumor-immune dynamics modeling. [PDF]
Hamood MM, Sharif AA, Ghadle KP.
europepmc +1 more source
Dry‐Season Water Deficits in the Southwestern Amazon Under High Emissions
Projected climatic water deficit in the study region indicates a longer and more intense dry season, with delays in the onset of the wet season under higher emission scenarios. These changes, particularly, pronounced under SSP5‐8.5, suggest increased ecological vulnerability and greater seasonal water stress.
Débora J. Dutra +18 more
wiley +1 more source
The Interplay Between Non-Instantaneous Dynamics of mRNA and Bounded Extrinsic Stochastic Perturbations for a Self-Enhancing Transcription Factor. [PDF]
Cabriel L +4 more
europepmc +1 more source
Monthly average aerosol optical depth at 320 nm obtained with a Brewer MKIII spectrophotometer for Hobart, Australia (42.8806° S, 147.3250° E) over a 21‐year period. There is a linear trend of 15.4% per decade. There are 9 months when the average aerosol optical depth exceeds twice the monthly standard deviation.
Manuel Nuñez +3 more
wiley +1 more source

