Data analysi

Floods are one of the most significant devastating natural hazards around the globe. Recent development in remote sensing technology supports faster and low-cost analysis of flood hazards. This study used the Sentinel-1 SAR data for flood mapping and damage assessment. We selected the October 2022 flood event in Thua Thien Hue province, Vietnam.

10p vithomson 02-07-2024 0 0   Download

This study demonstrates that the two-step cluster method is not only more effective than the k-means method in terms of clustering ability but also in data pre-processing. The study's results enable authorities to gain a more detailed understanding of typical traffic accident patterns in Hanoi.

15p vithomson 02-07-2024 0 0   Download

This paper focuses on utilizing a dataset obtained from Amazon, comprising reviews spanning various product categories such as laptops, cameras and mobile phones. Following data preprocessing, we employ machine learning algorithms to classify the reviews as either positive or negative sentiment.

6p vithomson 02-07-2024 0 0   Download

Part 1 book "Plant epigenetics and epigenomics - Methods and protocols" includes content: Landscaping plant epigenetics, the gene balance hypothesis - dosage effects in plants; inference of allele specific expression from RNA seq data 5 screening for imprinted genes using high resolution melting analysis of PCR amplicons; analysis of genomic imprinting by quantitative allele specific expression by pyrosequencing,... and other contents.

20p dianmotminh04 12-07-2024 0 0   Download

Part 2 book "Quantitative genetics, genomics and plant breeding" includes content: Genotype–environment interaction - Progress and prospects; analysing QTL–environment interaction by factorial regression, with an application to the cimmy drought and low nitrogen STR; elements of genotype–environment interaction - genetic components of the photoperiod response in maize; mechanisms of improved nitrogen use efficiency in cereals; biplot analysis of multi environment trial data,... and other contents.

182p dianmotminh04 12-07-2024 0 0   Download

High quality of service (QoS) requirements in multi-priority wireless sensor networks pose new challenges to the Internet of Things (IoT). In a multi-event wireless sensor network (MWSN), nodes generate different types of data packets with different priority such as urgent (high priority) or normal (low priority), with different traffic proportion.

10p vithomson 02-07-2024 0 0   Download

This study was qualitative in nature, and it used the phenomenological research design. It utilized the Interpretative Phenomenological Analysis (IPA) steps for its data analysis method.

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This paper aimed to unleash the modular experiences of university freshmen during the onset. Using a transcendental phenomenological approach, the data were collected through individual phone interviews with fifteen university freshmen key informants analyzed through Colizzi’s seven steps in data analysis.

14p vialicene 02-07-2024 0 0   Download

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   Download

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   Download

Part 1 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 1 - Data spread, standard deviations; Chapter 2 - Data summaries, histograms, wide and narrow gaussian curves; Chapter 3 - Null-hypothesis testing with graphs; Chapter 4 - Null-hypothesis testing with the T-table; Chapter 5 - One-sample continuous data (One-sample T-test, One-sample Wilcoxon test); Chapter 6 - Paired continuous data (Paired T-test, Wilcoxon signed rank test); C...

160p daonhiennhien 03-07-2024 2 1   Download

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   Download

Part 1 of ebook "Data structures and algorithms in Python" provides readers with contents including: Chapter 1 - Python primer; Chapter 2 - Object-oriented programming; Chapter 3 - Algorithm analysis; Chapter 4 - Recursion; Chapter 5 - Array-based sequences; Chapter 6 - Stacks, queues, and deques; Chapter 7 - Linked lists; Chapter 8 - Trees;...

383p daonhiennhien 03-07-2024 2 1   Download

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   Download

Part 1 of ebook "Introduction to statistics and data analysis: With exercises, solutions and applications in R" provides readers with contents including: Chapter 1 - Introduction and framework; Chapter 2 - Frequency measures and graphical representation of data; Chapter 3 - Measures of central tendency and dispersion; Chapter 4 - Association of two variables; Chapter 5 - Combinatorics; Chapter 6 - Elements of probability theory; Chapter 7 - Random variables; Chapter 8 - Probability distributions;...

185p daonhiennhien 03-07-2024 3 1   Download

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   Download

Part 2 of ebook "Machine learning in medicine - A complete overview" provides readers with contents including: Chapter 50 - Neural networks for assessing relationships that are typically nonlinear; Chapter 51 - Complex samples methodologies for unbiased sampling; Chapter 52 - Correspondence analysis for identifying the best of multiple treatments in multiple groups; Chapter 53 - Decision trees for decision analysis; Chapter 54 - Multi-dimensional scaling for visualizing experienced drug efficacies; Chapter 55 - Stochastic processes for long term predictions from short term observations;...

194p daonhiennhien 03-07-2024 1 1   Download

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   Download

Part 1 of ebook "Statistical analysis and data display: An intermediate course with examples in R (Second edition)" provides readers with contents including: Chapter 1 - Introduction and motivation; Chapter 2 - Data and statistics; Chapter 3 - Statistics concepts; Chapter 4 - Graphs; Chapter 5 - Introductory inference; Chapter 6 - One-way analysis of variance; Chapter 7 - Multiple comparisons; Chapter 8 - Linear regression by least squares; Chapter 9 - Multiple regression- more than one predictor;...

451p daonhiennhien 03-07-2024 1 1   Download

Part 2 of ebook "Statistical analysis and data display: An intermediate course with examples in R (Second edition)" provides readers with contents including: Chapter 13 - Design of experiments - factorial designs; Chapter 14 - Design of experiments - complex designs; Chapter 15 - Bivariate statistics - discrete data; Chapter 16 - Nonparametrics; Chapter 17 - Logistic regression; Chapter 18 - Time series analysis;...

458p daonhiennhien 03-07-2024 3 1   Download