Results 1 to 10 of about 3,693,446 (196)

Partial derivative Nonlinear Global Pandemic Machine Learning prediction of COVID 19 [PDF]

Chaos, Solitons and Fractals, 2020
The recent worldwide outbreak of the novel coronavirus disease 2019 (COVID-19) opened new challenges for the research community. Machine learning (ML)-guided methods can be useful for feature prediction, involved risk, and the causes of an analogous ...
Manikandan Ramachandran, Amir Gandomi, Durga Prasad Kavadi   +2 more
exaly   +3 more sources

Experts’ understanding of partial derivatives using the partial derivative machine [PDF]

Physical Review Special Topics. Physics Education Research, 2015
[This paper is part of the Focused Collection on Upper Division Physics Courses.] Partial derivatives are used in a variety of different ways within physics.
David Roundy, Eric Weber, Tevian Dray, Rabindra R. Bajracharya, Allison Dorko, Emily M. Smith, Corinne A. Manogue   +6 more
doaj   +7 more sources

Partial Derivative Approach to the Integral Transform for the Function Space in the Banach Algebra [PDF]

Entropy, 2020
We investigate some relationships among the integral transform, the function space integral and the first variation of the partial derivative approach in the Banach algebra defined on the function space.
Kim Young Sik
doaj   +2 more sources

A Partial Derivative Approach to the Change of Scale Formula for the Function Space Integral [PDF]

Entropy, 2020
We investigate the partial derivative approach to the change of scale formula for the functon space integral and we investigate the vector calculus approach to the directional derivative on the function space and prove relationships among the Wiener ...
Young Sik Kim
doaj   +2 more sources

Partial derivative-based dynamic sensitivity analysis expression for non-linear auto regressive with exogenous (NARX) model case studies on distillation columns and model's interpretation investigation

Chemical Engineering Journal Advances
Constructing the reliable dynamic sensitivity profile for the output variable using the machine learning model is a challenging task; however, the dynamic sensitivity trends are helpful to understand the impact of the input variables on the system ’ s ...
Vivek Dua, Waqar Muhammad Ashraf
exaly   +2 more sources

Partial derivative of matrix functions with respect to a vector variable

Vietnam Journal of Mechanics, 2008
The partial derivatives of scalar functions and vector functions with respect to a vector variable are defined and used in dynamics of multibody systems.
Nguyen Van Khang
doaj   +2 more sources

The Quadratic Constitutive Model Based on Partial Derivative and Taylor Series of Ti6242s Alloy and Predictability Analysis [PDF]

Materials, 2023
Jiansheng Zhang
exaly   +2 more sources

Reduced differential transform method for partial differential equations within local fractional derivative operators

Advances in Mechanical Engineering, 2016
The non-differentiable solution of the linear and non-linear partial differential equations on Cantor sets is implemented in this article. The reduced differential transform method is considered in the local fractional operator sense.
Hassan Kamil Jassim, Hossein Jafari, Fairouz Tchier   +2 more
exaly   +2 more sources

Using derivative and ratio spectra derivative: spectrophotometries as new data preprocessing method in partial least squares technique for resolving overlapped spectra of montelukast sodium, desloratadine, and levocetirizine dihydrochloride

Reviews in Analytical Chemistry, 2012
Chemometric techniques are widely used for resolving overlapped spectra in different analysis type including simultaneous determination of active ingredients in pharmaceutical preparation.
Palabiyik Ismail Murat, Caglayan Mehmet Gokhan, Onur Feyyaz   +2 more
doaj   +2 more sources

The partial derivative framework for substantive regression effects.

Psychological methods, 2022
egression models are ubiquitous in the psychological sciences. The standard practice in reporting and interpreting regression models are to present and interpret coefficient estimates and the associated standard errors, confidence intervals and p-values.
Dale S. Kim, Connor J. McCabe
semanticscholar   +1 more source