Results 81 to 90 of about 12,139 (206)

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

Modeling vegetation structure parameter bp for L-MEB models over agricultural sites

International Journal of Applied Earth Observations and Geoinformation
With a penetration capacity through vegetation, passive microwave provides an opportunity to estimate vegetation water content (VWC) through vegetation optical depth (VOD) and vegetation structure parameter bp.
Hui Zhang, Hongquan Wang, Zhibin Sun, Lun Gao, Yixiang Wang, Cheng Tong, Luyao Zhu, Zhou Shi   +7 more
doaj   +1 more source

Multitarget Approach to Drug Candidates against Alzheimer’s Disease Related to AChE, SERT, BACE1 and GSK3β Protein Targets

Molecules, 2020
Alzheimer’s disease is a neurodegenerative condition for which currently there are no drugs that can cure its devastating impact on human brain function.
Larisa Ivanova, Mati Karelson, Dimitar A. Dobchev   +2 more
doaj   +1 more source

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

Estimating Fresh Weight of Individual Pea Shoots Using Measurable Morphological Characteristics

HortScience, 2020
Nondestructive estimation of individual shoot fresh weight (FW) from its measurable morphological traits is useful for a wide variety of purposes in pea shoot production.
Yun Kong , Xiangyue Kong , Youbin Zheng
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

Machine Learning-Based Interpretable Modeling for Subjective Emotional Dynamics Sensing Using Facial EMG

Sensors
Understanding the association between subjective emotional experiences and physiological signals is of practical and theoretical significance. Previous psychophysiological studies have shown a linear relationship between dynamic emotional valence ...
Naoya Kawamura, Wataru Sato, Koh Shimokawa, Tomohiro Fujita, Yasutomo Kawanishi   +4 more
doaj   +1 more source

Medium‐Range Forecasting of Solar Wind: A Case Study of Building Regression Model With Space Weather Forecast Testbed (SWFT)

Space Weather, 2020
The Space Weather Forecast Testbed (SWFT) is developed by a team of space weather scientists and mathematicians at the University of Southern California (USC) and Jet Propulsion Laboratory (JPL) to foster the creation of models for space weather forecast
Chunming Wang, I. Gary Rosen, Bruce T. Tsurutani, Olga P. Verkhoglyadova, Xing Meng, Anthony J. Mannucci   +5 more
doaj   +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