Results 11 to 20 of about 11,802,626 (213)

Small Farm Quarterly - Summer 2003 [PDF]

open access: yes, 2003
Small Farm Quarterly is for farmers and farm families — including spouses and children - who value the quality of life that smaller farms provide.CONTENTS: EDITORIAL: Welcome to Small Farm Quarterly, by Bill Henning and Joanna Green, Page 3; PRODUCTION
Cornell Small Farms Program
core   +6 more sources

Small Farm Quarterly - Summer 2004 [PDF]

open access: yes, 2004
Small Farm Quarterly is for farmers and farm families — including spouses and children - who value the quality of life that smaller farms provide.CONTENTS: EDITORIAL: From the Editors by John Thurgood, Page 3; READERS WRITE: Page 3 & 5; SMALL FARM ...
Cornell Small Farms Program
core   +5 more sources

Advances in Hyperspectral Image Classification Methods with Small Samples: A Review

open access: yesRemote Sensing, 2023
Hyperspectral image (HSI) classification is one of the hotspots in remote sensing, and many methods have been continuously proposed in recent years. However, it is still challenging to achieve high accuracy classification in applications. One of the main
Xiaozhen Wang   +4 more
doaj   +1 more source

Analyzing small data sets using Bayesian estimation: the case of posttraumatic stress symptoms following mechanical ventilation in burn survivors [PDF]

open access: yesEuropean Journal of Psychotraumatology, 2015
Background: The analysis of small data sets in longitudinal studies can lead to power issues and often suffers from biased parameter values. These issues can be solved by using Bayesian estimation in conjunction with informative prior distributions.
Rens van de Schoot   +4 more
doaj   +1 more source

Defining and Applying a New Approximation for the Parametric Probability Densities of Spherical Particle Profile Sizes

open access: yesImage Analysis and Stereology, 2022
A novel approximation for the parametric probability densities of spherical particle profile diameters is suggested. The spheres are approximated from solids obtained by rotating regular polygons around their axes of symmetry.
Ekaterina Poliakova
doaj   +1 more source

CNN Training with Twenty Samples for Crack Detection via Data Augmentation

open access: yesSensors, 2020
The excellent generalization ability of deep learning methods, e.g., convolutional neural networks (CNNs), depends on a large amount of training data, which is difficult to obtain in industrial practices.
Zirui Wang   +3 more
doaj   +1 more source

The analysis of very small samples of repeated measurements II: a modified box correction [PDF]

open access: yes, 2010
There is a need for appropriate methods for the analysis of very small samples of continuous repeated measurements. A key feature of such analyses is the role played by the covariance matrix of the repeated observations.
Skene, S.S.   +9 more
core   +1 more source

Storage and hydrolysis of seawater samples for inorganic carbon isotope analysis [PDF]

open access: yes, 2013
Preservation of seawater samples was tested for total inorganic carbon (ΣCO2), stable carbon isotopes (δ13C), and radiocarbon (14C) applications using foil bags and storage by refrigeration and freezing.
Murray, C.   +9 more
core   +1 more source

Adaptive Residual Life Prediction for Small Samples of Mechanical Products Based on Feature Matching Preprocessor-LSTM

open access: yesApplied Sciences, 2022
In order to solve the problem of predicting the residual life of mechanical products accurately based on small-sample data, this paper proposes a small-sample adaptive residual life prediction model of mechanical products based on feature matching ...
Yongming Liu   +5 more
doaj   +1 more source

Small Farm Quarterly - Summer 2014

open access: yes, 2014
Small Farm Quarterly is for farmers and farm families — including spouses and children - who value the quality of life that smaller farms provide. OUR GOALS ARE TO: Celebrate the Northeast region’s smaller farms; Inspire and inform farm families and
Cornell Small Farms Program
core   +5 more sources

Home - About - Disclaimer - Privacy