Results 101 to 110 of about 8,395,195 (223)

Quantifying the climatic influence on Lassa fever incidences in six high-risk Nigerian states using multilinear regression and generalized additive models

Discover Public Health
Introduction Lassa fever, a viral hemorrhagic disease endemic to West Africa, presents significant public health challenges due to its environmental sensitivity and high mortality rate.
Ibiyinka Fuwape, Samuel Ogunjo, Funmilayo Erinfolami, Olugbenga Osunmakinwa, Opeyemi Ajanaku, Aderonke Akerele, Adetoun Akinlami, Joshua Akinsusi, Josephine Olayinka-Olagunju, Olayinka Asubiaro   +9 more
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EEG data classification using multilinear regression model

, 2020
Beyin Bilgisayar Arayüzleri (BCI), kişilerin, sinir sistemlerini kullanmaksızın,elektromekanik veya nöroprostetik bir cihazı bilgisayar yardımıyla denetlemelerini sağlayan sistemlerdir. Kafaderisi üzerine yerleştirilen elektrotlardan elde edilen ve Elektroansefalogram (EEG) adı verilen elektriksel kayıtlar sayesinde beyin dokuları hakkındabilgi ...
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Optimal Scaling of Interaction Effects in Generalized Linear Models [PDF]

Multiplicative interaction models, such as Goodman's RC(M) association models, can be a useful tool for analyzing the content of interaction effects. However, most models for interaction effects are only suitable for data sets with two or three predictor
Koning, A.J., Rosmalen, J.M. van, Groenen, P.J.F.   +2 more
core  

Role of constrained modulus in predicting resilient modulus of RAP-included granular materials via ML and conventional methods

Results in Engineering
Conventional regression and modern machine learning (ML) models were developed and evaluated to estimate the resilient modulus (MR) of unbound granular materials.
Muhammad Arshad, Muhammad Zaka Emad
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BayesX: Analyzing Bayesian Structural Additive Regression Models [PDF]

There has been much recent interest in Bayesian inference for generalized additive and related models. The increasing popularity of Bayesian methods for these and other model classes is mainly caused by the introduction of Markov chain Monte Carlo (MCMC)
Andreas Brezger, Stefan Lang, Thomas Kneib   +2 more
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Beta-Stacy survival regression models [PDF]

, 2007
This paper introduces a class of survival models for discrete time-to-event data with random right censoring. Flexible distributions for the survival times are constructed by modelling the random survival functions as discrete-time beta-Stacy processes (
Muliere, Pietro, Rigat, Fabio
core  

Sustainable Polyurethane-Based Polymer Concrete: Mechanical and Non-destructive Properties with Machine Learning Technique

International Journal of Concrete Structures and Materials
Polyurethane-based polymer concrete (PUC) has become a popular material for pavement repair. However, its compressive strength (f c) is essential to achieve effective repair work.
S. I. Haruna, Han Zhu, Yasser E. Ibrahim, Jian Yang, AIB Farouk, Jianwen Shao, Musa Adamu, Omar Shabbir Ahmed   +7 more
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High-dimensional Structured Additive Regression Models: Bayesian Regularisation, Smoothing and Predictive Performance [PDF]

, 2009
Data structures in modern applications frequently combine the necessity of flexible regression techniques such as nonlinear and spatial effects with high-dimensional covariate vectors. While estimation of the former is typically achieved by supplementing
Konrath, Susanne, Kneib, Thomas, Fahrmeir, Ludwig   +2 more
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Comparative study of oil palm productivity estimation models: multilinear regression and holt-winters approach

IOP Conference Series: Earth and Environmental Science
Abstract Oil palm plays a crucial role in Indonesia’s economy through the increased production and export of oil palm. However, managing and predicting productivity in expanding oil palm plantations presents significant challenges. Current estimation methods are resource-intensive and time-consuming.
I K Sari, null Liyantono, M Solahudin
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Weeks-Ahead Epidemiological Predictions of Varicella Cases From Univariate Time Series Data Applying Artificial Intelligence

Infectious Diseases & Immunity
. Background. “Chickenpox” is a highly infectious disease caused by the varicella-zoster virus, influenced by seasonal and spatial factors. Dealing with varicella-zoster epidemics can be a substantial drain on health-authority resources.
David A. Wood, Haijuan Wang
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