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Data models
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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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Part 2 book "Matrix algebra - Theory, computations and applications in statistics" included contents: Special matrices and operations useful in modeling and data analysis; selected applications in statistics; numerical methods; numerical linear algebra; software for numerical linear algebra.
316p
dianmotminh04
12-07-2024
2
0
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In this study, four machine learning models have been studied which are Artificial Neural Networks, Convolutional Neural Networks, Long Short-Term Memory (LSTM) and Extreme Learning Machine (ELM). They have been used to forecast the solar power of Nhi Ha solar farm in short-term. First, data from Nhi Ha solar farm were collected and underwent preprocessing before being utilized by aforementioned distinct machine learning models.
8p
vialicene
02-07-2024
0
0
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Part 1 of ebook "Applied predictive modeling" provides readers with contents including: Chapter 1 - Introduction; Chapter 2 - A short tour of the predictive modeling process; Chapter 3 - Data pre-processing; Chapter 4 - Overfitting and model tuning; Chapter 5 - Measuring performance in regression models; Chapter 6 - Linear regression and its cousins; Chapter 7 - Nonlinear regression models; Chapter 8 - Regression trees and rule-based models; Chapter 9 - A Summary of solubility models; Chapter 10 - Case study compressive strength of concrete mixtures;...
251p
daonhiennhien
03-07-2024
2
1
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Part 2 of ebook "Artificial intelligence for fashion: How AI is revolutionizing the fashion industry" provides readers with contents including: Chapter 6 - Data science and subscription services; Chapter 7 - Predictive analytics and size recommendations; Chapter 8 - Generative models as fashion designers; Chapter 9 - Data mining and trend forecasting; Chapter 10 - Deep learning and demand forecasting; Chapter 11 - Robotics and manufacturing; Chapter 12 - Democratization and impacts of AI;...
121p
daonhiennhien
03-07-2024
1
1
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Part 1 of ebook "Beginning data science in R: Data analysis, visualization, and modelling for the data scientist" provides readers with contents including: Chapter 1 - Introduction to R programming; Chapter 2 - Reproducible analysis; Chapter 3 - Data manipulation; Chapter 4 - Visualizing data; Chapter 5 - Working with large data sets; Chapter 6 - Supervised learning;...
188p
daonhiennhien
03-07-2024
1
1
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Part 2 of ebook "Beginning data science in R: Data analysis, visualization, and modelling for the data scientist" provides readers with contents including: Chapter 7 - Unsupervised learning; Chapter 8 - More R programming; Chapter 9 - Advanced R programming; Chapter 10 - Object oriented programming; Chapter 11 - Building an R package; Chapter 12 - Testing and package checking; Chapter 13 - Version control; Chapter 14 - Profiling and optimizing;...
181p
daonhiennhien
03-07-2024
2
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 2 of ebook "Economic and financial modelling with EViews: A guide for students and professionals" provides readers with contents including: Chapter 8 - Modelling volatility in finance and economics - ARCH, GARCH and EGARCH models; Chapter 9 - Limited dependent variable models; Chapter 10 - Vector autoregression (VAR) model; Chapter 11 - Panel data analysis; Chapter 12 - Capital asset pricing model (CAPM);...
139p
daonhiennhien
03-07-2024
4
2
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Part 2 of ebook "Introduction to statistics and data analysis: With exercises, solutions and applications in R" provides readers with contents including: Chapter 9 - Inference; Chapter 10 - Hypothesis testing; Chapter 11 - Linear regression; Appendix A - Introduction to R; Appendix B - Solutions to exercises; Appendix C - Technical appendix; Appendix D - Visual summaries;...
272p
daonhiennhien
03-07-2024
2
1
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Part 2 of ebook "Introduction to time series and forecasting (Third edition)" provides readers with contents including: Chapter 7 - Time series models for financial data; Chapter 8 - Multivariate time series; Chapter 9 - State-space models; Chapter 10 - Forecasting techniques; Chapter 11 - Further topics; Appendix A - Random variables and probability distributions; Appendix B - Statistical complements; Appendix C - Mean square convergence;...
224p
daonhiennhien
03-07-2024
1
1
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Part 1 of ebook "Introductory time series with R" provides readers with contents including: Chapter 1 - Time series data; Chapter 2 - Correlation; Chapter 3 - Forecasting strategies; Chapter 4 - Basic stochastic models; Chapter 5 - Regression;...
131p
daonhiennhien
03-07-2024
3
1
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Part 1 of ebook "Regression modeling strategies: With applications to linear models, logistic and ordinal regression, and survival analysis (Second edition)" provides readers with contents including: Chapter 1 - Introduction; Chapter 2 - General aspects of fitting regression models; Chapter 3 - Missing data; Chapter 4 - Multi-variable modeling strategies; Chapter 5 - Describing, resampling, validating, and simplifying the model; Chapter 6 - R software; Chapter 7 - Modeling longitudinal responses using generalized least squares; Chapter 8 - Case study in data reduction;...
297p
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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This study aims to analyze climate projections for Vietnam throughout the 21st century, incorporating data from 25 models to provide valuable insights into potential future climate scenarios. This study emphasizes temperature disparities between the Northern and Southern regions, with the Northwest showing the highest increase and the Southern region displaying the least prominent rise.
10p
viwalton
02-07-2024
2
1
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Part 1 of ebook "Integrated construction information" provides readers with contents including: Part One - What is integration and why is it important; Part Two - The history of construction integration; Part Three - Product modelling;...
263p
mothoiphong
28-06-2024
1
1
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Part 2 of ebook "Statistics and analysis of shapes" provides readers with contents including: on the representation of shapes using implicit functions; computing with point cloud data; determining intrinsic dimension and entropy of high-dimensional shape spaces; object-image metrics for generalized weak perspective projection; wulff shapes at zero temperature for some models used in image processing;...
222p
mothoiphong
28-06-2024
1
1
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Part 2 of ebook "Uniform across-the-board promotions" provides readers with contents including: Chapter 4 - Adjustment and permanent effects of uniform across the board promotions; Chapter 5 - UABPs - antecedents and consequences on a household level; Chapter 6 - Summary of results;...
46p
giangmacvien
22-06-2024
1
1
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