Results 91 to 100 of about 23,683 (254)
A method for generating stochastic 3D tree models with Python in Autodesk Maya
This paper introduces a method for generating 3D tree models using stochastic L-systems with stochastic parameters and Perlin noise. L-system is the most popular method for plant modeling and Perlin noise is extensively used for generating high detailed ...
Nemanja Stojanović
doaj
opseestools: A Python library to streamline OpenSeesPy workflows
OpenSees, a framework for nonlinear structural analysis, has significantly advanced seismic research and practice. The introduction of OpenSeesPy in 2018, which integrated Python as an interpreter alongside TCL, greatly enhanced the framework's utility ...
Orlando Arroyo +3 more
doaj +1 more source
Abstract Background The zebrafish heart regenerates upon injury. During injury response, fibroblasts and endothelial cells accumulate at the site of damage, and cardiomyocyte cell cycle reentry allows cardiac muscle regrowth. It is relevant to understand how the different cell types communicate with each other to coordinate regeneration.
João A. S. Carvalho +6 more
wiley +1 more source
This study aims to introduce a novel‐designed structure of the colloidal aphron microbubbles reinforced by incorporating hydrophobic aerographene microparticles onto the hydrophobic outer shell. This results in the formation of a robust composite film and armored microbubble that offers exceptional ultrastability under elevated pressures of up to 400 ...
Mohammad Hossein Akhlaghi +4 more
wiley +1 more source
AsymIntervals: A Python library for uncertainty modeling with asymmetric interval numbers
Moore interval arithmetic represents uncertainty using symmetric bounds, yet many real-world quantities and operations exhibit asymmetric behavior. Asymmetric Interval Numbers (AINs) generalize Moore intervals by introducing an expected value within the ...
Wojciech Sałabun
doaj +1 more source
Energy Consumption and CO2 Emissions Forecasting of Transport Sector Using Machine Learning
The transport sector accounts for approximately one‐quarter of Iran's final energy consumption. The energy demand in this sector has the least variation, with petroleum products accounting for more than 85% of the demand. Furthermore, the accelerated growth of energy consumption and the sector's reliance on fossil fuels, which are the main cause of ...
Amir Hossein Akbari +2 more
wiley +1 more source
This study presents an inter‐material transfer learning framework for nanofluid heat transfer prediction in energy systems. By leveraging knowledge from Al2O3‐water data, the model accurately predicts hybrid Al2O3‐TiO2 nanofluid performance with only 20 simulations, achieving R2 = 0.985 and reducing computational requirements by 78. ABSTRACT This paper
Soumaya Hadj Salah +2 more
wiley +1 more source
Cryptographic tools like Hill's encryption algorithm protect digital data. In this work, we present a novel Hill cipher security method that utilizes Gaussian integers from number theory. Using these intriguing mathematical entities to disguise plaintext
Saba Salman +3 more
doaj +1 more source
Real‐world analysis of lithium iron phosphate battery systems in electric buses shows minimal short‐term temperature impact on energy but significant long‐term degradation at higher temperatures. Efficient cooling and thermal uniformity are critical to prevent accelerated aging, maintain performance, and ensure safety under dynamic operating conditions.
Wiktoria Kaczmarek +4 more
wiley +1 more source
Explainable human‐in‐the‐loop healthcare image information quality assessment and selection
Abstract Smart healthcare applications cannot be separated from healthcare data analysis and the interactive interpretability between data and model. A human‐in‐the‐loop active learning approach is introduced to reduce the cost of healthcare data labelling by evaluating the information quality of unlabelled medical data and then screening the high ...
Yang Li, Sezai Ercisli
wiley +1 more source

