Results 31 to 40 of about 1,722,167 (288)

The estimation of the watermelon density from a two-dimensional photograph [PDF]

Warasan Witthayasat Lae Theknoloyi Mahawitthayalai Mahasarakham, 2019
The density of a watermelon floating in a container of water is estimated with a simplified method from theoretical geometry without consideration of three –dimensional effects. The watermelon was approximated as a sphere.
Choojit Sarapak
doaj  

Evaluation of Acoustic Recording Devices to Survey Northern Bobwhite Populations

Wildlife Society Bulletin, 2020
Reliable methods for monitoring wildlife populations are paramount to effective conservation and management. There are a variety of available techniques that vary in cost and feasibility. We field‐tested a commercially available acoustic recording device
Nathan G. Wilhite, Paige E. Howell, James A. Martin   +2 more
doaj   +1 more source

Quasi-concave density estimation

, 2010
Maximum likelihood estimation of a log-concave probability density is formulated as a convex optimization problem and shown to have an equivalent dual formulation as a constrained maximum Shannon entropy problem.
Koenker, Roger, Mizera, Ivan
core   +1 more source

Using conditional kernel density estimation for wind power density forecasting [PDF]

, 2012
Of the various renewable energy resources, wind power is widely recognized as one of the most promising. The management of wind farms and electricity systems can benefit greatly from the availability of estimates of the probability distribution of wind ...
Bremnes J. B., Cripps E., Focken U., Gneiting T., Holmes M., James W. Taylor, Jooyoung Jeon, Pinson P., Pinson P., Rosenblatt M., Taylor J. W., Watson G. S.   +11 more
core   +1 more source

Robust kernel density estimation [PDF]

2008 IEEE International Conference on Acoustics, Speech and Signal Processing, 2008
We propose a method for nonparametric density estimation that exhibits robustness to contamination of the training sample. This method achieves robustness by combining a traditional kernel density estimator (KDE) with ideas from classical $M$-estimation.
Kim, JooSeuk, Scott, Clayton D.
openaire   +2 more sources

Frequency-Based Density Estimation and Identification of Partial Discharges Signal in High-Voltage Generators via Gaussian Mixture Models

Eng
Online monitoring of partial discharge (PD) is a complex task traditionally requiring specialized expertise. However, recent advancements in signal processing and machine learning have facilitated the development of automated tools to identify and ...
Krissana Romphuchaiyapruek, Sarawut Wattanawongpitak   +1 more
doaj   +1 more source

Multivariate kernel density estimation with a parametric support [PDF]

Opuscula Mathematica, 2009
We consider kernel density estimation in the multivariate case, focusing on the use of some elements of parametric estimation. We present a two-step method, based on a modification of the EM algorithm and the generalized kernel density estimator, and ...
Jolanta Jarnicka
doaj   +1 more source

Unified Probabilistic and Similarity-Based Position Estimation from Radio Observations

Sensors
We propose a modeling approach for position estimation based on the observed radio propagation in an environment. The approach is purely similarity-based and therefore free of explicit physical assumptions.
Max Werner, Markus Bullmann, Toni Fetzer, Frank Deinzer   +3 more
doaj   +1 more source

Nonparametric Estimation for Functional Data by Wavelet Threshold

Revstat Statistical Journal, 2013
This paper deals with density and regression estimation problems for functional data. Using wavelet bases for Hilbert spaces of functions, we develop a new adaptive procedure based on a term-by-term selection of the wavelet coefficients estimators.
Christophe Chesneau , Maher Kachour , Bertrand Maillot   +2 more
doaj   +1 more source

Integrating telemetry data into spatial capture–recapture modifies inferences on multi‐scale resource selection

Ecosphere, 2018
Estimating population size and resource selection functions (RSFs) are common approaches in applied ecology for addressing wildlife conservation and management objectives.
Daniel W. Linden, Alexej P. K. Sirén, Peter J. Pekins   +2 more
doaj   +1 more source