Results 81 to 90 of about 15,675 (200)

Extremely Fast Maximum Likelihood Estimation of High‐Order Autoregressive Models

Journal of Time Series Analysis, EarlyView.
ABSTRACT We consider the problem of exact maximum likelihood estimation of potentially high‐order (p>50$$ p>50 $$) autoregressive models. We propose an extremely fast coordinate‐wise algorithm for fitting autoregressive models. This fast algorithm exploits several properties of the negative log‐likelihood when parameterised in terms of partial ...
Daniel F. Schmidt, Enes Makalic
wiley   +1 more source

Analysis of Models to Estimate Morbidity Rates of Respiratory Diseases Through Deep Learning

Tropical Medicine &International Health, EarlyView.
ABSTRACT Respiratory diseases remain a challenge in Brazil due to socioeconomic inequalities and environmental risks that intensify population vulnerability. This study compared XGBoost with a deep learning model using stacked Gated Recurrent Units (GRU), trained with morbidity data from respiratory diseases and exogenous variables such as per capita ...
Liliane Moreira Nery, Nícholas de Paula Nicomedes, Pedro Cesar Madureira de Godoy Camargo, Sidney Alves de Outeiro, Leopoldo André Dutra Lusquino Filho, Claudio Miceli de Farias, Darllan Collins da Cunha e Silva   +6 more
wiley   +1 more source

Sewing Thread Consumption for Chain Stitches of Class 400 using Geometrical and Multilinear Regression Models

AUTEX Research Journal, 2021
This work deals with determination of rapid and precise methods to predict the amount of sewing thread needed to sew a garment using different chain stitches of the class 400 (from 401 to 407 chain stitches).
Malek Sarah, Khedher Faouzi, Adolphe Dominique C., Jaouachi Boubaker   +3 more
doaj   +1 more source

Effects of land management on soil carbon storage in the Brazilian Amazon

Agrosystems, Geosciences &Environment, Volume 9, Issue 2, June 2026.
Abstract This study assessed the influence of land use on soil physical and chemical properties and evaluated machine learning (ML) models for predicting soil organic carbon (SOC) content and stocks in the top 0–30 cm layer across selected sites in the Brazilian Amazon. A total of 649 georeferenced samples of surface soil were analyzed for soil texture,
Gizachew Ayalew Tiruneh, Ciro Abbud Righi, Jefferson Lordello Polizel, Vinicius Gonçalves, Carlos Rodrigues Pereira   +4 more
wiley   +1 more source

A Laser Beam Welding Process and Its Microstructural Thermoelastoplastic Analysis

Proceedings in Applied Mathematics and Mechanics, Volume 26, Issue 2, June 2026.
ABSTRACT Laser beam welding has emerged as an advanced, contactless joining technique in recent years. This is primarily due to its high feed rates and low thermal distortion compared to conventional welding processes. These advantages stem from the focused energy input of the laser, enabling precise and controlled process execution.
Philipp Hartwig, Lisa Scheunemann, Jörg Schröder   +2 more
wiley   +1 more source

Blind source separation of tensor-valued time series

, 2017
The blind source separation model for multivariate time series generally assumes that the observed series is a linear transformation of an unobserved series with temporally uncorrelated or independent components.
Nordhausen, Klaus, Virta, Joni
core   +2 more sources

Predictive Modelling of Service Building and Users Mobility Related Energy Consumption Through Machine Learning and Graph Based Analysis

Expert Systems, Volume 43, Issue 6, June 2026.
ABSTRACT Accurately assessing the energy consumption associated with public buildings and the services they provide is essential for supporting sustainable infrastructure planning. This work presents an integrated modelling framework that combines machine learning prediction of building energy use with a graph based representation of user mobility ...
Valerio Bellandi, Stefano Siccardi, Maria Giulia Vincini, Federico Mastroleo, Giulia Marvaso, Barbara Alicja Jereczek‐Fossa, Ernesto Damiani   +6 more
wiley   +1 more source

Uncertainty Quantification and Sensitivity Analysis of Concrete Structure Using Multi-Linear Regression Technique

Science, Engineering and Technology
The dynamic analysis of structures with uncertain parameters presents an attractive field of structural health monitoring in many cases of technological interest.
Abdelhamid Hebbouche, Salim Bennoud, Ayoub Zeroual   +2 more
doaj   +1 more source

Heterogeneous Responses of High‐Latitude Forest Productivity to Interannual Climate Variability

Geophysical Research Letters, Volume 53, Issue 9, 16 May 2026.
Abstract Amplified warming has altered the phenology and structure of high‐latitude forests, yet their carbon uptake responses to environmental variations remain uncertain. Using satellite observations of solar‐induced chlorophyll fluorescence (SIF), we quantify interannual variations in growing‐season (GS) productivity of these forests and their ...
Ke Liu, Junjie Liu, Yitong Yao, Christian Frankenberg, Paul Wennberg   +4 more
wiley   +1 more source

Training Input-Output Recurrent Neural Networks through Spectral Methods [PDF]

, 2016
We consider the problem of training input-output recurrent neural networks (RNN) for sequence labeling tasks. We propose a novel spectral approach for learning the network parameters.
Anandkumar, Anima, Sedghi, Hanie
core   +2 more sources