Results 71 to 80 of about 198,857 (251)

Nonlinear interaction between stroke length and stroke rate in elite swimming

Frontiers in Sports and Active Living
IntroductionCompetitive freestyle swimming performance depends on the interaction between stroke rate (SR) and stroke length (SL), yet this relationship has generally been examined using linear approaches.
Samer Mansoor Jameel
doaj   +1 more source

Machine Learning‐Supported Analysis for Predicting and Visualizing Nonlinear Relationships Between Material Properties in Electroplated Chromium Layers

Advanced Engineering Materials, EarlyView.
This study applies machine learning regression to predict chromium layer thickness in decorative trivalent chromium electroplating, using 441 experiments from laboratory‐scale (1L) and pilot‐scale (14L) setups. Tree‐based models, particularly CatBoost, outperformed linear regression by capturing nonlinear parameter interactions (R2$R^2$ up to 0.77 ...
Christoph Baumer, Christopher Mai, Luca Eisentraut, Andreas Bund, Ricardo Buettner   +4 more
wiley   +1 more source

Nonlinear Regression Approach as a Correction Factor of Measurements of Low-Cost Electrochemical Air Quality Sensors

Applied Sciences
Air quality directly affects the health of humans. The health implications of poor air quality are recognized by professionals and the public alike and these concerns have driven both the proliferation of formal sensor networks, but also low-cost sensors
Ioannis Christakis, Odysseas Tsakiridis, Elena Sarri, Dimos Triantis, Ilias Stavrakas   +4 more
doaj   +1 more source

Relationship between body and testicular measurements in young buffalo bulls in Cuba

Revista Colombiana de Ciencias Pecuarias, 2017
Background: appropriate selection of sires holds great importance in plans to genetically improve and raise buffalos. Objective: to obtain a statistical model that provides accurate associations between body and testicular measurements intended for ...
Yanara Almaguer, Harold Font, Suitberto Cabrera, Yaritza Arias   +3 more
doaj   +1 more source

New AI‐Assisted Approach for Expanding the Solution Space: Application to Lattice Structure Design

Advanced Engineering Materials, EarlyView.
This work introduces an innovative framework for designing structured materials by ex panding the design space through reparameterization of qualitative variables into continuous structural descriptors. Combined with machine‐learning‐based prediction and multi‐objective optimization, the approach enables the discovery of novel lattice architectures ...
G. H. Gahimbare, Y. Beideler, D. Chune, R. De Guio, T. Roland, H. Chibane   +5 more
wiley   +1 more source

Information security vulnerability scoring model for intelligent vehicles

网络与信息安全学报, 2022
More and more electronic devices are integrated into the modern vehicles with the development of intelligent vehicles.There are various design flaws and vulnerabilities hidden in a large number of hardware, firmware and software.Therefore, the ...
Haiyang YU, Xiuzhen CHEN, Jin MA, Zhihong ZHOU, Shuning HOU   +4 more
doaj  

Microstructure Modification of Additively Manufactured Mo–9Si–8B by Annealing and Its Effects on High‐Temperature Mechanical Properties

Advanced Engineering Materials, EarlyView.
Postbuild annealing systematically modifies the phase fractions and morphology of EB‐PBF processed Mo–9Si–8B. Quantitative microstructure–property correlations reveal how controlled phase evolution enhances high‐temperature compressive strength and creep resistance.
Christopher Schmidt, Yong Chen, Georg Hasemann, Benjamin Wahlmann, Carolin Körner, Manja Krüger   +5 more
wiley   +1 more source

Statistical Analysis of the Three-Dimensional Data of Software Metrics RFC, CBO, and WMC that are not Normally Distributed

Proceedings of the International Conference on Applied Innovations in IT
Empirical data of RFC (response for a class), CBO (coupling between object classes), and WMC (weighted methods per class) software metrics, that can be used for estimation of software quality, deviate from normality.
Sergiy Prykhodko, Lidiia Makarova, Andrii Pukhalevych   +2 more
doaj   +1 more source

From Geometry to Function: Programmable Mechanical Response in 3D‐Printed Adipose‐Inspired Soft Metamaterials

Advanced Functional Materials, EarlyView.
Geometry‐driven design of soft cellular metamaterials is systematically investigated by combining experiments, finite element modeling, and statistical prediction. The study quantifies how unit cell geometry and material properties govern stiffness, instability, densification, and energy absorption.
Alice Berardo, Gianmarco Dolino, Damiano Coato, Paolo Gargiulo, Emanuele Luigi Carniel   +4 more
wiley   +1 more source

Análise da curva de crescimento de machos Hereford Growth curve analysis for Hereford cattle males

Ciência e Agrotecnologia, 2003
Para estudar a função de melhor ajustamento ao crescimento de bovinos Hereford, foram utilizados dados de 160 machos, ajustando-se as funções de Brody, Gompertz, Logística, Richards e von Bertalanffy.
Ana Rita de Assumpção Mazzini, Joel Augusto Muniz, Luiz Henrique de Aquino, Fabyano Fonseca e Silva   +3 more
doaj   +1 more source