Results 141 to 150 of about 993,426 (339)

A new generalized consider covariance analysis and other tools for challenging estimation scenarios

, 2012
Joanna Hinks
openalex   +2 more sources

Impact of a time-dependent background error covariance matrix on air quality analysis [PDF]

, 2012
Elodie Jaumouillé, S. Massart, Andrea Piacentini, D. Cariolle, Vincent‐Henri Peuch   +4 more
openalex   +1 more source

All Organic Fully Integrated Neuromorphic Crossbar Array

Advanced Electronic Materials, EarlyView.
In this work, the first fully integrated crossbar array of electrochemical random‐access memory (ECRAM) that is composed entirely of organic materials is represented. This array can perform inference and in situ parallel training and is capable of classifying linearly separable 2D and 3D classification tasks with high accuracy.
Setareh Kazemzadeh, Tim Stevens, Yoeri van de Burgt   +2 more
wiley   +1 more source

EKF based Data Fusion using Interval Analysis via Covariance Intersection, ML and a Class of OGK Covariance Estimators

, 2012
Samuel B. Lazarus, Antonios Tsourdos, João Sequeira, Al Savvaris   +3 more
openalex   +1 more source

Covariance Local Search for Memetic Frameworks: A Fitness Landscape Analysis Approach

, 2020
Ferrante Neri, Yuyang Zhou
openalex   +2 more sources

MFP and CFAP Official Announcement and Pre‐Official Announcement Effects on the Corn and Soybean Futures Market

Applied Economic Perspectives and Policy, EarlyView.
ABSTRACT This study examines the official announcement effect of the Market Facilitation Program (MFP) and the Coronavirus Food Assistance Program (CFAP) on the corn and soybean futures market. Using a permutation test and a 2‐stage GLS model, we find no significant official announcement effect.
Zhining Sun, Ani L. Katchova, Anil K. Giri, Dipak Subedi   +3 more
wiley   +1 more source

Analysis of the covariance matrix in FWI through density of covariance maps

, 2020
Anyeres Neider Jimenez, Juan Carlos Muñoz Cuartas, Sheryl Avendaño, Leonardo Gómez Bernal   +3 more
openalex   +2 more sources

Probabilistic Modeling for Prediction Errors to Enhance Balancing Market Participation of Photovoltaic Systems: Error Threshold Estimation, Multisite Aggregation, and Overloading Effects

Advanced Energy and Sustainability Research, EarlyView.
This study proposes a method to increase the value of solar power in balancing markets by managing prediction errors. The approach models prediction uncertainties and quantifies reserve requirements based on a probabilistic model. This enables the more reliable participation of photovoltaic plants in balancing markets across multiple sites, especially ...
Jindan Cui, Xue Fang, Takashi Oozeki, Yuzuru Ueda   +3 more
wiley   +1 more source

Appendix C. Analysis of covariance model for the relationship between mode of regeneration, taxonomic family, and extant density of plant species, with estimated canopy seed store size per plant as covariate, for four high-diversity shrubland sites near Eneabba, southwestern Australia.

, 2016
Neal J. Enright, Eva Mosner, Ben P. Miller, Nancy Collins Johnson, Byron B. Lamont   +4 more
openalex   +1 more source

Do outgrower schemes enhance technology adoption and productivity? Evidence from maize farmers in Northern Ghana

Agribusiness, EarlyView.
Abstract Nucleus outgrower schemes are contractual arrangements where well‐resourced large‐scale farmers (nucleus farmers) are empowered by development support agencies to take charge of smallholder farmers, by providing them with market access and the necessary training on agronomic practices and farm inputs for production.
Dominic Tasila Konja, Awudu Abdulai
wiley   +1 more source