Results 81 to 90 of about 2,383,589 (344)
Liu-type Shrinkage Estimators for Mixture of Logistic Regressions: An Osteoporosis Study [PDF]
arXiv, 2022 The logistic regression model is one of the most powerful statistical methods for the analysis of binary data. The logistic regression allows to use a set of covariates to explain the binary responses. The mixture of logistic regression models is used to fit heterogeneous populations through an unsupervised learning approach.
arxiv
Using an inverse-logistic model to describe growth increments of blacklip abalone (Haliotis rubra) in Tasmania [PDF]
, 2008 A new description of growth in blacklip abalone (Haliotis rubra) with the use of an inverse-logistic model is introduced. The inverse-logistic model avoids the disadvantageous assumptions of either rapid or slow growth for small and juvenile individuals ...
Haddon, Malcolm +2 more
core
Journal of Sustainable Development of Energy, Water and Environment Systems, 2020 Active modes of transportation are essential for the promotion of sustainable mobility. Increasing cycling and walking participation has the potential to improve various aspects of traffic congestion and contribute to human health. The goal of this study
Elisa Henning +2 more
doaj +1 more source
Environmental Research Communications, 2023 A consequence of the improvement in China’s agricultural production capacity has been increased production of pesticide packaging waste, which is a major obstacle to the sustainable development of rural areas.
Ye Li +4 more
doaj +1 more source
Research on Jing Dong's Self-built Logistics Based on Technology Acceptance Model [PDF]
Today is a time of rapid e-commerce development, and Jing Dong, China's e-commerce giant, has taken its place in the highly competitive industry with its self-built logistics system. This paper analyzed the impact of Jing Dong's self-built logistics system characteristics on user satisfaction and continuous use intention by using the Technology ...
arxiv +1 more source
Advanced Materials Interfaces, EarlyView., 2023 This review discusses the use of Surface‐Enhanced Raman Spectroscopy (SERS) combined with Artificial Intelligence (AI) for detecting antimicrobial resistance (AMR). Various SERS studies used with AI techniques, including machine learning and deep learning, are analyzed for their advantages and limitations.
Zakarya Al‐Shaebi +4 more
wiley +1 more source
Jurnal Teknik Industri, 2013 This paper investigates the relationship between logistics and economic development in Indonesia using time series data on traffic volume and economic growth for the period from 1988 to 2010.
Mohammad Reza
doaj
A note on logistic regression and logistic kernel machine models [PDF]
arXiv, 2011 This is a note on logistic regression models and logistic kernel machine models. It contains derivations to some of the expressions in a paper -- SNP Set Analysis for Detecting Disease Association Using Exon Sequence Data -- submitted to BMC proceedings by these authors.
arxiv
Logistic damping effect in chemotaxis models with density-suppressed motility [PDF]
arXiv, 2021 This paper is concerned with a parabolic-elliptic chemotaxis model with density-suppressed motility and general logistic source in an $n$-dimensional smooth bounded domain with Neumann boundary conditions. Under the minimal conditions for the density-suppressed motility function, we explore how strong the logistic damping can warrant the global ...
arxiv
A logistic regression model for microalbuminuria prediction in overweight male population [PDF]
, 2010 Background: Obesity promotes progression to microalbuminuria and increases the risk of chronic kidney disease. Current protocols of screening microalbuminuria are not recommended for the overweight or obese. Design and Methods: A cross-
BaoDe Chen +5 more
core +1 more source