Results 71 to 80 of about 185,199 (284)

Hopfield Neural Networks for Online Constrained Parameter Estimation With Time‐Varying Dynamics and Disturbances

International Journal of Adaptive Control and Signal Processing, EarlyView.
This paper proposes two projector‐based Hopfield neural network (HNN) estimators for online, constrained parameter estimation under time‐varying data, additive disturbances, and slowly drifting physical parameters. The first is a constraint‐aware HNN that enforces linear equalities and inequalities (via slack neurons) and continuously tracks the ...
Miguel Pedro Silva
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

Determining Optimal Nonlinear Regression Models for Studying the Kinetics of Fatty Acid Ruminal Biohydrogenation In Vitro. [PDF]

ACS Omega, 2023
Zarnegar Z, Ebrahimi SH, Rohani A, Jensen SK, Lashkari S, Valizadeh R, Naserian AA.   +6 more
europepmc   +1 more source

Current Tracking Adaptive Control of Brushless DC Motors

International Journal of Adaptive Control and Signal Processing, EarlyView.
In this paper, the current tracking for Brushless Direct Current motors is approached considering uncertainty in the parameters of the motor's model. An adaptive control scheme to compensate electrical parameters uncertainty is proposed without requiring any knowledge of the mechanical parameters.
Fernanda Ramos‐García, Axel Coronado‐Andrade, Gerardo Espinosa‐Pérez, Luis Alvarez‐Icaza   +3 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  

Sample size and power determination for multiparameter evaluation in nonlinear regression models with potential stratification. [PDF]

Biometrics, 2023
Martens MJ, Kim S, Ahn KW.
europepmc   +1 more source

Operational modal analysis using symbolic regression for a nonlinear vibration system [PDF]

, 2020
Xuchu Jiang, Feng Jiang
openalex   +1 more source

Enhancing Corrosion Resistance and Mechanical Strength of 3D‐Printed Iron Polylactic Acid for Marine Applications via Laser Surface Texturing

Advanced Engineering Materials, EarlyView.
Laser surface texturing significantly improves the corrosion resistance and mechanical strength of 3D‐printed iron polylactic acid (Ir‐PLA) for marine applications. Optimal laser parameters reduce corrosion by 80% and enhance tensile strength by 25% and ductility by 15%.
Mohammad Rezayat, Mojtaba Karamimoghadam, Mohammadreza Lalegani Dezaki, Ali Zolfagharian, Giuseppe Casalino, Antonio Mateo, Mahdi Bodaghi   +6 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