AI And Automation In Logistics

Here are four practical priorities, plus a 12‑month roadmap, to move from AI and automation experimentation to durable ...
Quanta Magazine

Using AI, Mathematicians Find Hidden Glitches in Fluid Equations

A $1 million prize awaits anyone who can show where the math of fluid flow breaks down. With specially trained AI systems, ...
Frontiers

Developing a generalized nonlinear mixed-effects biomass model at stand-level under different age conditions for Chinese fir based on LiDAR and ground survey data in southern China

Introduction: Chinese fir (Cunninghamia lanceolata) is a crucial afforestation and timber species in southern China. Accurate estimation of its stand biomass is vital for forest resource assessment, ...
Frontiers

Assessing the role of model choice in parameter identifiability of cancer treatment efficacy

1 Department of Psychology, Technische Universitat Braunschweig, Braunschweig, Germany 2 Department of Physics & Astronomy, Texas Christian University, Fort Worth, TX, United States • Mendelsohn: the ...
Scientific Research Publishing

Comparative Study of the Malthusian Population Model and the Logistic Population Model for Bangladesh ()

Bangladesh has a denser population in comparison with many other countries. Though the rate of population increase has been regarded as a concerning issue, estimation of the population instability in ...
TechRepublic

OpenAI Unveils ‘Strawberry’ Model, Optimized for Complex Coding and Math

OpenAI Unveils ‘Strawberry’ Model, Optimized for Complex Coding and Math Your email has been sent OpenAI o1, one of a family of models known as Strawberry, is designed for building rather than ...
IEEE

Logistic modeling of progressive breakdown in ultrathin gate oxides

Abstract: The sigmoidal behavior exhibited by the current-time characteristics of constant voltage stressed MOS capacitors with ultrathin oxides is ascribed to a self-constrained increase of the ...
Scientific Research Publishing

Knafl, G.J. (2023) Modeling Correlated Outcomes Using Extensions of Generalized Estimating Equations and Linear Mixed Modeling. Springer, Berlin.

ABSTRACT: Adaptive fractional polynomial modeling of general correlated outcomes is formulated to address nonlinearity in means, variances/dispersions, and correlations. Means and ...