封面圖片

Choice of percentage of cumulative in principal component analysis to define region

Saved in:

書目詳細資料
主要作者:	Shaharudin, Shazlyn Milleana
格式:	Conference or Workshop Item
出版:	2011
主題:	Q Science (General)
在線閱讀:	http://eprints.utm.my/id/eprint/45655/
標簽:	添加標簽沒有標簽, 成為第一個標記此記錄!

相似書籍

A modified correlation in principal component analysis for torrential rainfall patterns identification
由: Shazlyn Milleana Shaharudin
出版: (2020)

DEVELOPMENT OF TRACE METALS CONCENTRATION MODEL FOR RIVER: APPLICATION OF PRINCIPAL COMPONENT ANALYSIS AND ARTIFICIAL NEURAL NETWORK
由: Shazlyn Milleana Shaharudin
出版: (2023)

An efficient method to improve the clustering performance using hybrid robust principal component analysis-spectral biclustering in rainfall patterns identification
由: Shazlyn Milleana Shaharudin
出版: (2019)

Regionalization of rainfall regimes using hybrid rf-bs couple with multivariate approaches
由: Shazlyn Milleana Shaharudin
出版: (2021)

Improved cluster partition in principal component analysis guided clustering
由: Shaharudin, S. M., et al.
出版: (2013)

Identification of rainfall patterns on hydrological simulation using robust principal component analysis
由: Shaharudin, Shazlyn Milleana, et al.
出版: (2018)

Classifying students’ academic performance using principal component analysis during pandemic COVID-19
由: Siusin, Suharti, et al.
出版: (2023)

Development of trace metals concentration model for river: application of principal component analysis and artificial neural network
由: Faudzi, Fikriah, et al.
出版: (2023)

Classification of retinal images based on statistical moments and principal component analysis
由: Salami, Momoh Jimoh Emiyoka, et al.
出版: (2014)

Regionalization of rainfall regimes using hybrid rf-bs couple with multivariate approaches (SCOPUS)
由: Shazlyn Milleana Shaharudin
出版: (2021)

Detecting beef and pork adulteration using principal component analysis
由: Siti, Nur Avivah, et al.
出版: (2022)

Signal refinement: principal component analysis and wavelet transform of visual evoked response
由: Almurshedi, Ahmed Fadhil Hassoney, et al.
出版: (2015)

Identifying Influential Variables in Complex System: Network Topology Versus Principal Component Analysis
由: Nur Syahidah, Yusoff, et al.
出版: (2016)

An Integrated Principal Component Analysis And Weighted Apriori-T Algorithm For Imbalanced Data Root Cause Analysis
由: Ong, Phaik Ling
出版: (2016)

Dimension Reduction For Classification Using Principal Component Analysis (PCA) To Detect Malicious Executables
由: Jamal, Zalifh
出版: (2017)

Improving the performance of combined Shewhart-cumulative sum control charts
由: Abujiya, Mu'azu Ramat, et al.
出版: (2013)

Modified singular spectrum analysis in identifying rainfall trend over Peninsular Malaysia
由: Shazlyn Milleana Shaharudin
出版: (2019)

Spatial torrential rainfall modelling in pattern analysis based on robust pca approach (SCOPUS)
由: Shazlyn Milleana Shaharudin
出版: (2021)

A region-based Principal Component Analysis (PCA) technique for medical image compression
由: Lim, Sin Ting
出版: (2022)

Modified singular spectrum analysis in identifying temporal torrential rainfall patterns over Peninsular Malaysia
由: Shazlyn Milleana Shaharudin
出版: (2018)

Prediction of epidemic trends in covid-19 with mann-kendall and recurrent forecasting-singular spectrum analysis (SCOPUS)
由: Shazlyn Milleana Shaharudin
出版: (2021)

Mapping of Students Academic Performance in Online Learning Environment during Pandemic Using Multiple Correspondence Analysis
由: Shazlyn Milleana Shaharudin
出版: (2023)

Comparison of singular spectrum analysis forecasting algorithms for student's academic performance during COVID-19 outbreak (SCOPUS)
由: Shazlyn Milleana Shaharudin
出版: (2021)

Students Performance Prediction in Higher Education During COVID-19 Pandemic Based on Recurrent Forecasting and Singular Spectrum Analysis
由: Shazlyn Milleana Shaharudin
出版: (2023)

Detection of added plastics in the frying oils using differential scanning calorimetry (DSC) combined with principal component analysis (PCA)
由: M.S, Mualim, et al.
出版: (2018)

Assimilation of principal component analysis and wavelet with kernel support vector regression for medium-term financial time series forecasting
由: Alhassan, Baba Gimba, et al.
出版: (2020)

Identification of non-halal recycled cooking oils using differential scanning calorimetry (DSC) combined with principal component analysis (PCA)
由: M.S, Mualim, et al.
出版: (2018)

Cumulative Index To Hamadryad Volumes 1–29 (1976–2004)
由: Das, Indraneil, et al.
出版: (2004)

The comparison of T-Mode and Pearson Correlation matrices in classfication of daily rainfall patterns in Peninsular Malaysia
由: Shaharudin, Shazlyn Milleana, et al.
出版: (2013)

Principal component analysis dimensionality reduction for writer verification
由: Ramlee, Rimashadira
出版: (2015)

Algorithm of face recognition by principal component analysis
由: Al-Khateeb, Khalid A. Saeed, et al.
出版: (2002)

Principal component analysis hardware acceleration
由: Ng, Yee Wei
出版: (2020)

Sentiment Analysis on COVID-19 Vaccine Tweets using Machine Learning and Deep Learning Algorithms
由: Shazlyn Milleana binti Shaharudin
出版: (2023)

BRAND AND INDUSTRY COLOR DEFINER
由: Ahmad Badardin, Mohamad Syahmin
出版: (2020)

Neural network and principal component regression in non-destructive soluble solids content assessment: a comparison
由: Abdul Rahim, Herlina, et al.
出版: (2012)

Spatial and temporal torrential rainfall guided cluster pattern based on dimension reduction methods
由: Shaharudin, Shazlyn Milleana
出版: (2017)

A comparison on classical-hybrid conjugate gradient method under exact line search
由: Shazlyn Milleana Shaharudin
出版: (2019)

Classification of daily torrential rainfall patterns based on a robust correlation measure
由: Shazlyn Milleana Shaharudin
出版: (2019)

Predictive Analytics on Academic Performance in Higher Education Institution during COVID-19 using Regression Model (SCOPUS)
由: Shazlyn Milleana Shaharudin
出版: (2021)

Short-Term Forecasting of Daily Confirmed COVID-19 Cases in Malaysia Using RF-SSA Model (SCOPUS)
由: Shazlyn Milleana Shaharudin
出版: (2021)