Results 121 to 130 of about 10,032,701 (265)

An algorithm for seizure detection in rodents

open access: yesEpilepsia Open, EarlyView.
Abstract Objective Epilepsy animal research often relies on long‐term intracranial electroencephalographic (iEEG) recordings. Here, we describe an artificial neural network (ANN) algorithm for automatic detection of seizures. Methods The algorithm was trained on iEEG recordings of three mouse models of chronic epilepsy: (1) the pilocarpine model of ...
Lyna Kamintsky   +9 more
wiley   +1 more source

Stage-wise selection of tropical wheat populations using univariate and multivariate BLUP models

open access: yesCrop Breeding and Applied Biotechnology
Plant breeding programs often involve several segregating populations that must be selected for multiple traits. This study aimed to identify tropical wheat populations combining earliness and high grain yield (GY) using univariate and multivariate best ...
Henrique Caletti Mezzomo   +7 more
doaj  

A Genetic Algorithm‐Optimized LSTM Framework for Mechanics‐Conditioned Reconstruction of Stress–Strain Curves in High‐Performance Cementitious Materials

open access: yesEnergy Science &Engineering, EarlyView.
GA‐optimized LSTM for full stress–strain curve prediction of high‐performance cementitious materials. Compression‐test data are preprocessed (cleaning, normalization, interpolation/standardization, and Savitzky–Golay smoothing). A Genetic Algorithm tunes LSTM hyperparameters, while a physics‐informed loss enforces stiffness, peak response ( σ max ...
Mahmoud AlJamal   +7 more
wiley   +1 more source

On the Trail of Creativity: Dimensionality of Divergent Thinking and Its Relation With Cognitive Abilities, Personality, and Insight

open access: yesEuropean Journal of Personality, EarlyView., 2020
Abstract Divergent thinking (DT) is an important constituent of creativity that captures aspects of fluency and originality. The literature lacks multivariate studies that report relationships between DT and its aspects with relevant covariates, such as cognitive abilities, personality traits (e.g. openness), and insight. In two multivariate studies (N 
S. Weiss   +6 more
wiley   +1 more source

Poverty Mapping of the Coastal Areas Using Spatial Empirical Best Linear Unbiased Prediction Method

open access: yesJournal of Physics: Conference Series, 2019
E Sunandi, D Agustina, H Fransiska
openaire   +1 more source

Pendekatan Empirical Best Linear Unbiased Prediction (EBLUP) dalam Small Area Estimation [PDF]

open access: yes, 2017
ABSTRAK Penelitian ini mengkaji literatur yang berkaitan dengan metode Small Area Estimation (SAE). SAE dalam beberapa tahun terakhir telah menerima banyak perhatian, karena permintaan untuk statistik wilayah kecil dapat diandalkan.
Fajrin H, Iin Ayudhina
core  

A New Implementation of Network GARCH Model for Stock Volatility and Co‐Volatility Forecasting

open access: yesJournal of Forecasting, EarlyView.
ABSTRACT Volatility clustering and spillovers are key features of financial time series with many cross‐sectional assets. While network analysis links similar or correlated stocks and helps trace volatility spillovers, contemporary multivariate ARCH‐GARCH formulations struggle to represent structured network dependence and remain parsimonious.
Peiyi Zhou
wiley   +1 more source

Who Knows Best What the Next Year Will Hold for You? The Validity of Direct and Personality‐based Predictions of Future Life Experiences Across Different Perceivers

open access: yesEuropean Journal of Personality, EarlyView., 2020
Abstract This study explored the validity of person judgements by targets and their acquaintances (‘informants’) in longitudinally predicting a broad range of psychologically meaningful life experiences. Judgements were gathered from four sources (targets, N = 189; and three types of informants, N = 1352), and their relative predictive validity was ...
Nele M. Wessels   +3 more
wiley   +1 more source

Bayesian Multivariate Two‐Stage Volatility‐Return Models (MTS‐VR)

open access: yesJournal of Forecasting, EarlyView.
ABSTRACT This paper develops a class of models to capture the joint dynamics of asset returns and multivariate volatility. Owing to its two‐stage construction, this class is referred to as the multivariate two‐stage volatility‐return (MTS‐VR) model.
Zhenglyu Huang   +2 more
wiley   +1 more source

Nonparametric Regression for Cost‐Effectiveness Analyses With Observational Data—A Tutorial

open access: yesHealth Economics, EarlyView.
ABSTRACT Healthcare decision‐making often requires selecting among multiple treatment options under budget constraints, particularly when one option is more effective but also more costly. Cost‐effectiveness analysis (CEA) provides a framework for evaluating whether the health benefits of a treatment justify its additional costs.
Jonas Esser   +3 more
wiley   +1 more source

Home - About - Disclaimer - Privacy