Results 61 to 70 of about 93,664 (290)

Rockburst prediction based on data preprocessing and hyperband‐RNN‐DNN

Deep Underground Science and Engineering, EarlyView.
A data preprocessing workflow is proposed to address challenges in rockburst data analysis. Coupled algorithms preprocess the data set, and hyperband optimization is used to enhance RNN performance. Results show that preprocessing improves accuracy, while dense layers enhance model stability and prediction performance.
Yong Fan, Chenxi Yin, Guangdong Yang, Shengyong Ding, Bin Tian   +4 more
wiley   +1 more source

Adaptive Segmentation and Statistical Analysis for Multivariate Big Data Forecasting

Big Data and Cognitive Computing
Forecasting high-volume, univariate, and multivariate longitudinal data streams is a critical challenge in Big Data systems, especially with constrained computational resources and pronounced data variability.
Desmond Fomo, Aki-Hiro Sato
doaj   +1 more source

Biomechanical Correlates of Falls Risk in Gait Impaired Stroke Survivors

Frontiers in Physiology, 2022
Increased falls risk is prevalent among stroke survivors with gait impairments. Tripping is the leading cause of falls and it is highly associated with mid-swing Minimum Foot Clearance (MFC), when the foot’s vertical margin from the walking surface is ...
Hanatsu Nagano, Catherine M. Said, Catherine M. Said, Catherine M. Said, Catherine M. Said, Lisa James, William A. Sparrow, Rezaul Begg   +7 more
doaj   +1 more source

Constrained correlation functions from the Millennium Simulation

, 2015
Context. In previous work, we developed a quasi-Gaussian approximation for the likelihood of correlation functions, which, in contrast to the usual Gaussian approach, incorporates fundamental mathematical constraints on correlation functions.
Röseler, Randolf, Schneider, Peter, Wilking, Philipp   +2 more
core   +1 more source

Framing Effects on Public Support and Behavioral Responses to Sustainable Forest Management in South Korea

Environmental Policy and Governance, EarlyView.
ABSTRACT Despite South Korea's extensive forest coverage, which accounts for approximately 63% of its total land area, the country imports over 83% of its timber needs and has shown a gradual decline in forest carbon sequestration capacity. The Circular Forest Management Policy (CFMP) addresses these challenges through systematic forest resource ...
Seoryeon Son, Yoonseo Bae, Gayoung Won, Hee Han, Minki Yeo   +4 more
wiley   +1 more source

Artificial intelligence in preclinical epilepsy research: Current state, potential, and challenges

Epilepsia Open, EarlyView.
Abstract Preclinical translational epilepsy research uses animal models to better understand the mechanisms underlying epilepsy and its comorbidities, as well as to analyze and develop potential treatments that may mitigate this neurological disorder and its associated conditions. Artificial intelligence (AI) has emerged as a transformative tool across
Jesús Servando Medel‐Matus, Cesar Santana‐Gomez, Ruby G. Escalante, Dominique Duncan, Pedro F. Viana, Giulia Sofia Cereda, Naoto Kuroda, Aristea S. Galanopoulou   +7 more
wiley   +1 more source

Assessment of survival in patients with idiopathic pulmonary fibrosis using quantitative HRCT indexes

Multidisciplinary Respiratory Medicine, 2018
Background The assessment of Idiopathic Pulmonary Fibrosis (IPF) using HRCT requires great experience and is limited by a significant inter-observer variability, even between trained radiologists.
Sebastiano Emanuele Torrisi, Stefano Palmucci, Alessandro Stefano, Giorgio Russo, Alfredo Gaetano Torcitto, Daniele Falsaperla, Mauro Gioè, Mauro Pavone, Ada Vancheri, Gianluca Sambataro, Domenico Sambataro, Letizia Antonella Mauro, Emanuele Grassedonio, Antonio Basile, Carlo Vancheri   +14 more
doaj   +1 more source

Term Spread Volatility as a Leading Indicator of Economic Activity

Journal of Forecasting, EarlyView.
ABSTRACT In this paper, we examine the macroeconomic predictive power of the volatility of the US Treasury yield curve slope (term spread volatility). Our forecasting exercise shows that US term spread volatility has significant predictive power for US industrial production and employment growth.
Anastasios Megaritis, Dimitrios Bakas, Theodora Bermpei, Athanasios Triantafyllou   +3 more
wiley   +1 more source

Forecasting Volatility of Commodity, Currency, and Stock Markets: Evidence From Markov‐Switching Multifractal Models

Journal of Forecasting, EarlyView.
ABSTRACT This paper adopts a bivariate Markov‐switching multifractal (BMSM) model to reexamine comovement in SV between commodity, foreign exchange (FX), and stock markets. After the 2007–2008 global financial crisis understanding volatility linkages and the correlation structure between these markets becomes very important for risk analysts, portfolio
Ruipeng Liu, Mawuli Segnon, Oguzhan Cepni, Rangan Gupta   +3 more
wiley   +1 more source

Independent component analysis for tensor-valued data

, 2017
In preprocessing tensor-valued data, e.g. images and videos, a common procedure is to vectorize the observations and subject the resulting vectors to one of the many methods used for independent component analysis (ICA).
Li, Bing, Nordhausen, Klaus, Oja, Hannu, Virta, Joni   +3 more
core   +1 more source