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Modeling methods
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In this paper, a nonlinear path tracking controller based on a combination of kinematics and torque backstepping methods is applied to a nonholonomic Two-Wheeled Mobile Robot (WMR). The mobile robot is considered in terms of dynamics model in Cartesian coordinates and its parameters are exactly known.
6p
vithomson
02-07-2024
0
0
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The study sheds light on the role of word embeddings in constructing robust spam detection models, offering valuable guidance for model selection. The methodology, comparative analysis, and future directions are also presented in the paper.
5p
vithomson
02-07-2024
0
0
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This research focuses on developing a method to optimize the DCNN (Deep Convolutional Neural Network) classification model for plant diseases. We enriched the data by incorporating data from two public datasets, PlantVillage Dataset (PVD) and CroppedPlant Dataset (CPD), and we trained the model using two-step transfer learning.
6p
vithomson
02-07-2024
0
0
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This study seeks to introduce a more comprehensive assessment method than previous endeavors, particularly concerning the bond strength of FRP bars with various surface types within concrete, spanning normal, high-strength, and ultra-high-strength concrete.
16p
vithomson
02-07-2024
0
0
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This study proposes a constitutive mechanical law to model the behavior of the interface between a microcracked viscoelastic medium and an undamaged elastic body based on the homogenization method. The interface is modeled by a layer of zero thickness. The coupling between the homogenization technique and the Griffith’s theory is used to provide the effective behavior of the micro-cracked medium.
15p
vithomson
02-07-2024
2
0
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This study focuses on developing the predicted models of materials removal rate and tool wear rate by utilizing the response surface method (RSM) for the machining of SKD61 steel by EDM process with adding tungsten compound powder.
14p
vithomson
02-07-2024
0
0
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This study expands upon an existing one-dimensional model to develop an innovative two-dimensional numerical framework for simulating moisture propagation within wood. Utilizing the finite difference method, this approach offers a more detailed analysis of moisture behavior in wood structures.
15p
vithomson
02-07-2024
0
0
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Part 2 book "Nitrogen fixation - Methods and protocols" includes content: X-Ray crystallography; X-ray absorption spectroscopy, small angle X-ray scattering spectroscopy; electron paramagnetic resonance spectroscopy; magnetic circular dichroism spectroscopy; mössbauer spectroscopy; nitrogenase structure and function relationships by density functional theory; modeling the mofe nitrogenase system with broken symmetry density functional theory.
182p
dianmotminh04
12-07-2024
0
0
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In this study, it is split into two main steps. First, an analytical design is proposed to define the desired parameters with affects of different flux air gaps. Then, a finite element approach is introduced to simulate magnetic field quantities (such as inductance, fringing flux, magnetic flux density, electromagnetic force, current, voltage) of the SRs.
6p
vialicene
02-07-2024
1
0
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Part 1 of ebook "An introduction to statistical learning with applications in R" provides readers with contents including: Chapter 1 - Introduction; Chapter 2 - Statistical learning; Chapter 3 - Linear regression; Chapter 4 - Classification; Chapter 5 - Resampling methods;...
212p
daonhiennhien
03-07-2024
1
1
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Part 2 of ebook "An introduction to statistical learning with applications in R" provides readers with contents including: Chapter 6 - Linear model selection and regularization; Chapter 7 - Moving beyond linearity; Chapter 8 - Tree-based methods; Chapter 9 - Support vector machines; Chapter 10 - Unsupervised learning;...
222p
daonhiennhien
03-07-2024
2
1
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Part 1 of ebook "Bayesian essentials with R (Second edition)" provides readers with contents including: Chapter 1 - User's manual; Chapter 2 - Normal models; Chapter 3 - Regression and variable selection; Chapter 4 - Generalized linear models;...
151p
daonhiennhien
03-07-2024
3
1
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Part 2 of ebook "Clinical data analysis on a pocket calculator: Understanding the scientific methods of statistical reasoning and hypothesis testing (Second edition)" provides readers with contents including: Chapter 27 - Robust tests for imperfect data; Chapter 28 - Non-linear modeling on a pocket calculator; Chapter 29 - Fuzzy modeling for imprecise and incomplete data; Chapter 30 - Bhattacharya modeling for unmasking hidden Gaussian curves; Chapter 31 - Item response modeling instead of classical linear analysis of questionnaires; Chapter 32 - Meta-analysis of continuous data; Chapter 33...
168p
daonhiennhien
03-07-2024
1
1
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Part 1 of ebook "Methods of mathematical modelling: Continuous systems and differential equations" provides readers with contents including: Formulation of models; Chapter 1 - Rate equations; Chapter 2 - Transport equations; Chapter 3 - Variational principles; Chapter 4 - Dimensional scaling analysis;...
123p
daonhiennhien
03-07-2024
1
1
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Part 2 of ebook "Methods of mathematical modelling: Continuous systems and differential equations" provides readers with contents including: Chapter 5 - Self-similar scaling solutions of differential equations; Chapter 6 - Perturbation methods; Chapter 7 - Boundary layer theory; Chapter 8 - Long-wave asymptotics for PDE problems; Chapter 9 - Weakly-nonlinear oscillators; Chapter 10 - Fast/slow dynamical systems; Chapter 11 - Reduced models for PDE problems;...
186p
daonhiennhien
03-07-2024
1
1
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Part 2 of ebook "Statistics and analysis of scientific data (Second edition)" provides readers with contents including: Chapter 8 - Maximum likelihood methods for two-variable datasets; Chapter 9 - Multi-variable regression; Chapter 10 - Goodness of fit and parameter uncertainty; Chapter 11 - Systematic errors and intrinsic scatter; Chapter 12 - Fitting two-variable datasets with bivariate errors; Chapter 13 - Model comparison; Chapter 14 - Monte Carlo methods; Chapter 15 - Introduction to Markov Chains; Chapter 16 - Monte Carlo Markov Chains;...
165p
daonhiennhien
03-07-2024
1
1
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Part 1 of ebook "The elements of statistical learning: Data mining, inference, and prediction (Second edition)" provides readers with contents including: Chapter 1 - Introduction; Chapter 2 - Overview of supervised learning; Chapter 3 - Linear methods for regression; Chapter 4 - Linear methods for classification; Chapter 5 - Basis expansions and regularization; Chapter 6 - Kernel smoothing methods; Chapter 7 - Model assessment and selection; Chapter 8 - Model inference and averaging; Chapter 9 - Additive models, trees, and related methods;...
355p
daonhiennhien
03-07-2024
2
1
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Part 2 of ebook "The elements of statistical learning: Data mining, inference, and prediction (Second edition)" provides readers with contents including: Chapter 10 - Boosting and additive trees; Chapter 11 - Neural networks; Chapter 12 - Support vector machines and flexible discriminants; Chapter 13 - Prototype methods and nearest-neighbors; Chapter 14 - Unsupervised learning; Chapter 15 - Random forests; Chapter 16 - Ensemble learning; Chapter 17 - Undirected graphical models; Chapter 18 - High-dimensional problems p ≫ N;...
409p
daonhiennhien
03-07-2024
4
1
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In recent times, the phase field method is a robust simulation tool that can predict crack formation and propagation in structures. In brittle and quasi-brittle materials, the strain tensor is decomposed into negative and positive parts corresponding to the compression and tension behaviors when the structure is loaded.
14p
viwalton
02-07-2024
1
1
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This paper presents the impacts of Electric Vehicle Charging Stations (EVCSs) on voltage and frequency quality in the Microgrid. It addresses security analysis, voltage and frequency quality, as well as issues related to EVCSs. In this paper, modeling and simulation method is utilized to evaluate the impact of Charging Stations (CSs) in Microgrid power systems using PowerWorld software.
13p
viwalton
02-07-2024
2
1
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