Results 91 to 100 of about 23,683 (254)

A method for generating stochastic 3D tree models with Python in Autodesk Maya

open access: yesJournal of Graphic Engineering and Design, 2016
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

open access: yesSoftwareX
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

In silico analysis of putative interactions identifies fibroblasts as hubs for cell–cell communication during early regeneration of the zebrafish heart

open access: yesDevelopmental Dynamics, EarlyView.
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

Enabling Ultrastable Microbubbles With Graphene Aerogel Enrichment and Machine Learning for Highly Efficient Carbon Storage

open access: yesElectron, EarlyView.
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

open access: yesSoftwareX
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

open access: yesEnergy Science &Engineering, EarlyView.
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

Inter‐Material Transfer Learning for Accelerated Nanofluid Heat Transfer Prediction: A Machine Learning Approach for Energy Systems

open access: yesEnergy Science &Engineering, EarlyView.
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

A Novel Method for Hill Cipher Encryption and Decryption Using Gaussian Integers Implemented in Banking Systems

open access: yesIraqi Journal for Computer Science and Mathematics
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

Thermal Analysis of Cells Behavior in Modular Lithium Iron Phosphate Battery System in Urban Electric Bus Fleet

open access: yesEnergy Science &Engineering, EarlyView.
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

open access: yesCAAI Transactions on Intelligence Technology, EarlyView., 2023
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

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