Results 151 to 160 of about 1,442,152 (332)

Real‐Time Data‐Driven Fault Diagnosis of Photovoltaic Arrays Using an Edge‐Server Machine‐Learning Framework

Energy Science &Engineering, EarlyView.
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, Sowmya Ravichandran, Deepak Kumar Sinha, Chandran Ramakrishnan, Omar Almomani   +4 more
wiley   +1 more source

Point and Risk estImation Using an enSemble of Models for Nowcasting: PRISM‐Now

Journal of Forecasting, EarlyView.
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

Parameter estimation of switching piecewise linear system

42nd IEEE International Conference on Decision and Control (IEEE Cat. No.03CH37475), 2003
J. Ragot, G. Mourot, D. Maquin
semanticscholar   +1 more source

Trajectories of child emotional and behavioural difficulties before and during the COVID‐19 pandemic in a longitudinal UK cohort

JCPP Advances, EarlyView.
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, Daphne Kounali, Elise Paul, Alex S. F. Kwong, Daniel Major‐Smith, Ilaria Costantini, Deborah A. Lawlor, Kapil Sayal, Helen Bould, Nicholas J. Timpson, Kate Northstone, Melanie Lewcock, Kate Tilling, Rebecca M. Pearson   +13 more
wiley   +1 more source

Age-structured mechanical models for tumor growth. [PDF]

J Math Biol
Levy D, Lim H, Mellet A, Wildes M.
europepmc   +1 more source

Study of a piecewise linear dynamic system with negative and positive stiffness

Communications in nonlinear science & numerical simulation, 2015
Keguan Zou, Satish Nagarajaiah
semanticscholar   +1 more source

Dry‐Season Water Deficits in the Southwestern Amazon Under High Emissions

International Journal of Climatology, EarlyView.
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, Chris Jones, Richard A. Betts, Igor J. M. Ferreira, Luiz E. O. C. Aragão, Guilherme Mataveli, Henrique Leão, Breno I. Domingos, Beatriz F. Cabral, Philip M. Fearnside, Paulo M. L. A. Graça, Aurora M. Yanai, Celso H. L. Silva‐Junior, Thais P. de Medeiros, Ricardo Dalagnol, Daniel Braga, Vinícius Peripato, Chantelle Burton, Liana O. Anderson   +18 more
wiley   +1 more source

Sharp Lyapunov inequalities and the emergence of chaos in discrete fractional systems. [PDF]

Sci Rep
Arab M, Mohammed PO, Baleanu D, Hamasalh FK.   +3 more
europepmc   +1 more source

Decadal Changes of UV Aerosol Optical Depth in Hobart, Australia Measured With a Brewer MKIII: Relationship to Bushfire Events and Climate Indices

International Journal of Climatology, EarlyView.
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, Antonio Serrano, Peter Love, Nels Larson   +3 more
wiley   +1 more source

A low-power VHF transceiver for airborne SAR with enhanced buried object detection using chirped signal processing. [PDF]

Sci Rep
Siddik Y, Hussein KFA, Esmaiel H, El-Samie FEA, Mubarak AS.   +4 more
europepmc   +1 more source