Results 91 to 100 of about 423,513 (317)

Comparison of Different Models for Determining Time up to 50% Maximum Germination: A Case Study of Cottonseeds (Gossypium hirsutum)

open access: yesپژوهش‌های بذر ایران, 2019
DOR: 98.1000/2383-1251.1397.5. 1.10.2.1605.41 Extended abstract Introduction: Germination speed is one of the most important germination indices, used in most studies to compare the effects of different treatments on seed germination.
Farnaz Porali   +3 more
doaj  

COMPARISON OF BINARY PROBIT REGRESSION AND FOURIER SERIES NONPARAMETRIC LOGISTIC REGRESSION IN MODELING DIABETES STATUS AT HAJJ GENERAL HOSPITAL SURABAYA

open access: yesBarekeng
Diabetes mellitus is a chronic disease with a rising global prevalence, including in Indonesia. Early detection and accurate modeling are crucial for effective prevention and management.
Bambang Widjanarko Otok   +6 more
doaj   +1 more source

Precision Obtained Using an Artificial Neural Network for Predicting the Material Removal Rate in Ultrasonic Machining

open access: yesApplied Sciences, 2017
The present study proposes a back propagation artificial neural network (BPANN) to provide improved precision for predicting the material removal rate (MRR) in ultrasonic machining.
Gaoyan Zhong, Min Kang, Shoufeng Yang
doaj   +1 more source

Estimation and model specification testing in nonparametric and semiparametric econometric models [PDF]

open access: yes
This paper considers two classes of semiparametric nonlinear regression models, in which nonlinear components are introduced to reflect the nonlinear fluctuation in the mean.
Gao, Jiti, King, Maxwell
core   +1 more source

Sublinear expectation linear regression [PDF]

open access: yes, 2013
Nonlinear expectation, including sublinear expectation as its special case, is a new and original framework of probability theory and has potential applications in some scientific fields, especially in finance risk measure and management.
Lin, Lu   +3 more
core  

Iterative Estimation of Solutions to Noisy Nonlinear Operator Equations in Nonparametric Instrumental Regression

open access: yes, 2013
This paper discusses the solution of nonlinear integral equations with noisy integral kernels as they appear in nonparametric instrumental regression. We propose a regularized Newton-type iteration and establish convergence and convergence rate results ...
Dunker, Fabian   +4 more
core   +2 more sources

Microsphere Autolithography—A Scalable Approach for Arbitrary Patterning of Dielectric Spheres

open access: yesAdvanced Functional Materials, EarlyView.
MicroSphere Autolithography (µSAL) enables scalable fabrication of patchy particles with customizable surface motifs. Focusing light through dielectric microspheres creates well defined, tunable patches via a conformal poly(dopamine) photoresist. Nearly arbitrary surface patterns can be achieved, with the resolution set by the index contrast between ...
Elliott D. Kunkel   +3 more
wiley   +1 more source

Testing the Specification of Econometric Models in Regression and Non-Regression Directions [PDF]

open access: yes
The asymptotic power of a statistical test depends on the model being tested, the (implicit) alternative against which the test is constructed, and the process which actually generated the data.
James G. MacKinnon, Russell Davidson
core  

Optimal designs for rational function regression

open access: yes, 2011
We consider optimal non-sequential designs for a large class of (linear and nonlinear) regression models involving polynomials and rational functions with heteroscedastic noise also given by a polynomial or rational weight function.
A. Dembo   +92 more
core   +1 more source

Spectrally Tunable 2D Material‐Based Infrared Photodetectors for Intelligent Optoelectronics

open access: yesAdvanced Functional Materials, EarlyView.
Intelligent optoelectronics through spectral engineering of 2D material‐based infrared photodetectors. Abstract The evolution of intelligent optoelectronic systems is driven by artificial intelligence (AI). However, their practical realization hinges on the ability to dynamically capture and process optical signals across a broad infrared (IR) spectrum.
Junheon Ha   +18 more
wiley   +1 more source

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