Results 121 to 130 of about 53,984 (288)
Computational Approach to Geometric Modeling of Plow Bodies
In this article, a detailed analysis of modern research and publications on the selected subject was carried out related to the computer-variant geometric modeling of the working surfaces of the plow blades.
Yablonskyi P. +5 more
doaj +1 more source
The flow in the section of the Seversky Donets river in Kharkiv region is studied based on long-term measurements of the channel profile in a 10 cm increments.
Kizilova Natalya M. +2 more
doaj +1 more source
ABSTRACT This study examines the economic consequences of Digital Technologies Disclosure (DTD), focusing on its impact on the cost of capital. The increasing significance of digital transformation in shaping corporate strategies and market perceptions motivates the study.
Hussein Mohsen Saber Ahmed +2 more
wiley +1 more source
Restricted Tweedie stochastic block models
Abstract The stochastic block model (SBM) is a widely used framework for community detection in networks, where the network structure is typically represented by an adjacency matrix. However, conventional SBMs are not directly applicable to an adjacency matrix that consists of nonnegative zero‐inflated continuous edge weights.
Jie Jian, Mu Zhu, Peijun Sang
wiley +1 more source
Splines and Special Functions to Solve Boundary Value Problems in Differential Equations
Professional applications in engineering and physics and applied sciences require Boundary value problems (BVPs) for their mathematical modeling. The traditional solution methods struggle to handle nonlinear BVPs because stability issues and accuracy limits prevent them from obtaining satisfactory results.
openaire +1 more source
Stagewise crop yield prediction with multisource functional indices
Abstract Index insurance design involves integrating weather data, soil moisture, phenology information, and satellite imagery, which presents challenges in data fusion. This article addresses the modelling of multisource functional indices of varying lengths by constructing a stagewise ensemble of sequential models.
Jing Zou, Ostap Okhrin
wiley +1 more source
Bayesian inverse ensemble forecasting for COVID‐19
Abstract Variations in strains of COVID‐19 have a significant impact on the rate of surges and on the accuracy of forecasts of the epidemic dynamics. The primary goal for this article is to quantify the effects of varying strains of COVID‐19 on ensemble forecasts of individual “surges.” By modelling the disease dynamics with an SIR model, we solve the ...
Kimberly Kroetch, Don Estep
wiley +1 more source
Rockburst prediction based on data preprocessing and hyperband‐RNN‐DNN
A data preprocessing workflow is proposed to address challenges in rockburst data analysis. Coupled algorithms preprocess the data set, and hyperband optimization is used to enhance RNN performance. Results show that preprocessing improves accuracy, while dense layers enhance model stability and prediction performance.
Yong Fan +4 more
wiley +1 more source
Correlative species distribution models (SDMs) are quantitative tools in biogeography and macroecology. Building upon the ecological niche concept, they correlate environmental covariates to species presence to model habitat suitability and predict species distributions.
Moritz Klaassen +3 more
wiley +1 more source
In this work, a polyurethane‐based fluorinated SICEs with excellent mechanical properties (7.35 MPa and 61.4 MJ m−3), conductivity (4.2 × 10−4 S cm−1), and harsh environmental resistance were prepared by a “three birds with one stone” strategy that combines multiple interactions with fluorine effects. The paper‐folding TENG is capable of harvesting not
Zequan Li +9 more
wiley +1 more source

