Scaling analysis and model estimation of solar corona index
Sign Up to like & getrecommendations! Published in 2018 at "Advances in Space Research"
DOI: 10.1016/j.asr.2018.01.036
Abstract: Abstract A monthly average solar green coronal index time series for the period from January 1939 to December 2008 collected from NOAA (The National Oceanic and Atmospheric Administration) has been analysed in this paper in… read more here.
Keywords: index; analysis model; scaling analysis; model estimation ... See more keywords
Model estimation and selection for partial linear varying coefficient EV models with longitudinal data
Sign Up to like & getrecommendations! Published in 2021 at "Journal of Applied Statistics"
DOI: 10.1080/02664763.2021.1904847
Abstract: In this paper, we consider the estimation and model selection for longitudinal partial linear varying coefficient errors-in-variables (EV) models when the covariates are measured with some additive... read more here.
Keywords: model estimation; selection; partial linear; varying coefficient ... See more keywords
An analytical model for estimation of internal erosion rate
Sign Up to like & getrecommendations! Published in 2019 at "Geomechanics and Geoengineering"
DOI: 10.1080/17486025.2019.1602735
Abstract: ABSTRACT Estimating erosion rate of solid particles in a porous medium is of interest to geotechnical engineers; which use analytical or numerical models for this purpose. Constitutive law of erosion is a key component in… read more here.
Keywords: analytical model; erosion; model estimation; rate ... See more keywords
Triplet Relationship Guided Sampling Consensus for Robust Model Estimation
Sign Up to like & getrecommendations! Published in 2022 at "IEEE Signal Processing Letters"
DOI: 10.1109/lsp.2022.3154675
Abstract: RANSAC (RANdom SAmple Consensus) is a widely used robust estimator for estimating a geometric model from feature matches in an image pair. Unfortunately, it becomes less effective when initial input feature matches (i.e., input data)… read more here.
Keywords: consensus; triplet relationships; model estimation; model ... See more keywords
Deep Dichromatic Model Estimation Under AC Light Sources
Sign Up to like & getrecommendations! Published in 2021 at "IEEE Transactions on Image Processing"
DOI: 10.1109/tip.2021.3100550
Abstract: The dichromatic reflection model has been popularly exploited for computer vison tasks, such as color constancy and highlight removal. However, dichromatic model estimation is an severely ill-posed problem. Thus, several assumptions have been commonly made… read more here.
Keywords: model estimation; model; dichromatic model; light sources ... See more keywords
CORDIC-Based High-Speed VLSI Architecture of Transform Model Estimation for Real-Time Imaging
Sign Up to like & getrecommendations! Published in 2021 at "IEEE Transactions on Very Large Scale Integration (VLSI) Systems"
DOI: 10.1109/tvlsi.2020.3035514
Abstract: Transform model estimation (TME) is a geometric operation, widely utilized in real-time imaging systems. Considering the massive computational load of matrix algebra-based TME realizations, most of the imaging systems resort to highly paralleled software-platform-based TME… read more here.
Keywords: time; transform model; real time; hardware ... See more keywords
Bilateral Trade Performance in West Africa: A Gravity Model Estimation
Sign Up to like & getrecommendations! Published in 2019 at "African Development Review"
DOI: 10.1111/1467-8268.12359
Abstract: This study provides empirical insights on the functioning of regional trade agreements within the Economic Community of West African States (ECOWAS) by identifying bilateral trade barriers that affect the extent of trade flows among member… read more here.
Keywords: trade; bilateral trade; gravity model; model estimation ... See more keywords
Interacting Multiple Model Estimation for Helicopter Regime Recognition
Sign Up to like & getrecommendations! Published in 2020 at "Journal of Aircraft"
DOI: 10.2514/1.c035871
Abstract: Regime recognition (RR) is an important aspect of condition-based maintenance for modern helicopters. RR involves the postflight classification of flight data into regime categories. These classifi... read more here.
Keywords: multiple model; model estimation; interacting multiple; regime recognition ... See more keywords