Results 1 to 10 of about 23,657,443 (332)

Logistic Model Trees [PDF]

Machine Learning, 2003
zbMATH Open Web Interface contents unavailable due to conflicting licenses.
Landwehr, Niels, Hall, Mark, Frank, Eibe
openaire   +3 more sources

Analysis coronavirus disease (COVID-19) model using numerical approaches and logistic model

AIMS Bioengineering, 2020
The coronavirus disease (COVID-19) is a global health care problem that international efforts have been suggested and discussed to control this disease.
Ayub Ahmed, Bashdar Salam, Mahmud Mohammad, Ali Akgül, Sarbaz H. A. Khoshnaw   +4 more
doaj   +2 more sources

Forecasting the Worldwide Spread of COVID-19 based on Logistic Model and SEIR Model

medRxiv, 2020
Background: With the outbreak of coronavirus disease 2019 (COVID-19), a sudden case increase in late February 2020 led to deep concern globally. Italy, South Korea, Iran, France, Germany, Spain, the US and Japan are probably the countries with the most ...
Zhou X, Ma X, Hong N, Su L, Ma Y, He J, Jiang H, Liu C, Shan G, Zhu W, Zhang S, Long Y.   +11 more
europepmc   +2 more sources

The Gudermannian Growth Model: Theory, Application and Statistical Analysis [PDF]

Brazilian Archives of Biology and Technology, 2022
: Processes producing sigmoid curves are common in many areas such as biology, agrarian sciences, demography and engineering. Several mathematical functions have been proposed for modeling sigmoid curves.
Marcelo Teixeira Leite
doaj   +1 more source

Studying the Logistic Model

Reports in Advances of Physical Sciences, 2022
Several studies have used the logistic equation to model the growth of cancer cell populations1 as seen in Eq. (1). This has included correlated multiplicative, [Formula: see text] and additive, [Formula: see text], noise terms.
Jacob Baxley, David Lambert, Paolo Grigolini   +2 more
doaj   +1 more source

Adjusting the growth curve of sugarcane varieties using nonlinear models [PDF]

Ciência Rural, 2020
: Assessing sugarcane (Saccharum spp.) stalk growth helps to adequately manage the phenological stages of the crop. The aim of this study was to describe the height-growth curve of four sugarcane varieties (RB92579, RB93509, RB931530 and SP79-1011), in ...
Sérgio Alberto Jane, Felipe Augusto Fernandes, Edilson Marcelino Silva, Joel Augusto Muniz, Tales Jesus Fernandes, Guilherme Vieira Pimentel   +5 more
doaj   +1 more source

How Does Social Embeddedness Affect Farmers’ Adoption Behavior of Low-Carbon Agricultural Technology? Evidence From Jiangsu Province, China

Frontiers in Environmental Science, 2022
Agricultural carbon emissions, which are the second largest source of greenhouse gas emissions in China, not only place great pressure on emission reduction but also seriously affect food security and sustainable development of agriculture.
Huawei Zheng, Huawei Zheng, Jing Ma, Jing Ma, Zhaoyu Yao, Feng Hu   +5 more
doaj   +1 more source

Nonlinear regression analysis of length growth in cultured rainbow trout [PDF]

Arquivo Brasileiro de Medicina Veterinária e Zootecnia, 2020
Length growth as a function of time has a non-linear relationship, so nonlinear equations are recommended to represent this kind of curve. We used six nonlinear models to calculate the length gain of rainbow trout (Oncorhynchus mykiss) during the final ...
P.C. Janampa-Sarmiento, R. Takata, T.M. Freitas, M.M.B. Pereira, L. Sá-Freire, V. Lugert, C. Sarturi, M.M. Pereira   +7 more
doaj   +1 more source

Shallow Landslide Susceptibility Mapping: A Comparison between Logistic Model Tree, Logistic Regression, Naïve Bayes Tree, Artificial Neural Network, and Support Vector Machine Algorithms

International Journal of Environmental Research and Public Health, 2020
Shallow landslides damage buildings and other infrastructure, disrupt agriculture practices, and can cause social upheaval and loss of life. As a result, many scientists study the phenomenon, and some of them have focused on producing landslide ...
Viet-Ha Nhu, A. Shirzadi, H. Shahabi, Sushant Kumar Singh, N. Al‐Ansari, J. Clague, A. Jaafari, Wei Chen, Shaghayegh Miraki, J. Dou, Chinh Luu, Krzysztof Górski, Binh Thai Pham, H. Nguyen, B. Ahmad   +14 more
semanticscholar   +1 more source

A Comparative Study of Kernel Logistic Regression, Radial Basis Function Classifier, Multinomial Naïve Bayes, and Logistic Model Tree for Flash Flood Susceptibility Mapping

Water, 2020
Risk of flash floods is currently an important problem in many parts of Vietnam. In this study, we used four machine-learning methods, namely Kernel Logistic Regression (KLR), Radial Basis Function Classifier (RBFC), Multinomial Naïve Bayes (NBM), and ...
B. Pham, T. Phong, H. Nguyen, Chongchong Qi, N. Al‐Ansari, A. Amini, Lanh Si Ho, T. T. Tuyen, H. Yen, H. Ly, Indra Prakash, D. Tien Bui   +11 more
semanticscholar   +1 more source