Search Results - (( using pca based algorithm ) OR ( java application testing algorithm ))

Improved nu-support vector regression algorithm based on principal component analysis by Abdullah Mohammed, Rashid, Habshah, Midi

Get full text
Get full text

RSA Encryption & Decryption using JAVA by Ramli, Marliyana

“…The implementation of this project will be based on Rapid Application Design Methodology (RAD) and will be more focusing on research and finding, ideas and the implementation of the algorithm, and finally running and testing the algorithm. …”
Get full text
Get full text

Anomaly detection in system log files using machine learning algorithms / Zahedeh Zamanian by Zahedeh, Zamanian

“…Also, log files are heterogenous and cannot fed them directly in machine learning algorithms. Furthermore, many of the companies use the signature-based detection method which is not capable of capturing more advanced attackers that use unfamiliar attacks methods. …”
Get full text
Get full text
Get full text

Register Transfer Level Implementation Of Pooling - Based Feature Extraction For Finger Vein Identification by Mohamed Ali, Mohamed Hassan

“…The algorithm was mainly inspired by spatial pyramid pooling in generic image classification combined with PCA. …”
Get full text
Get full text

Modeling and validation of base pressure for aerodynamic vehicles based on machine learning models by Quadros, Jaimon Dennis, Khan, Sher Afghan, Aabid, Abdul, Baig, Muneer

“…In this work, the optimal base pressure is determined using the PCA-BAS-ENN-based algorithm to modify the base pressure presetting accuracy, thereby regulating the base drag required for the smooth flow of aerodynamic vehicles. …”
Get full text
Get full text
Get full text
Get full text
Get full text

The performance of k-means clustering method based on robust principal components by Kadom, Ahmed, Midi, Habshah, Rana, Sohel

“…To remedy this problem, we proposed to integrate robust principal component analysis (RPCA) with the k-means algorithm. Simulation study and real examples are carried out to compare the performance of the classical k-means, k-means based on PCA and k-means based on RPCA. …”
Get full text
Get full text

Performance analysis of robust road sign identification by Mohd Ali, Nursabillilah

“…For successful recognition rates using PCA can be achieved in the range of 94-98%. …”
Get full text
Get full text

A region-based Principal Component Analysis (PCA) technique for medical image compression by Lim, Sin Ting

“…The research has successfully developed an improved region-based compression scheme for medical images where lossy and lossless compression is implemented in one PCA architecture. …”
Get full text
Get full text
Get full text
Get full text

Towards Practical Face Recognition System Employing Row-Based Distance Method In 2dpca Based Algorithms by Al-Arashi, Waled Hussein Mohammed

“…One of the most important extensions of PCA is Two-dimensional PCA (2DPCA). However, 2DPCA-based features are matrices rather than vectors as in PCA. …”
Get full text
Get full text

Adaptive Pca-Based Models To Reconstruct 3d Faces From Single 2d Images by Maghari, Ashraf Y. A.

“…Example-based statistical face models using Principle Component Analysis (PCA) have been widely used for 3D face reconstruction and face recognition. …”
Get full text
Get full text

Optimal Weighted Learning of PCA and PLS for Multicollinearity Discriminators and Imbalanced Groups in Big Data (S/O: 13224) by Mahat, Nor Idayu, Engku Abu Bakar, Engku Muhammad Nazri, Zakaria, Ammar, Mohd Nazir, Mohd Amril Nurman, Misiran, Masnita

“…Then, the weights are used together with either Principal Component Analysis (PCA) or Partial Least Square (PLS) to tackle the collinearity among variables. …”
Get full text
Get full text

Improved robust principal component analysis based on minimum regularized covariance determinant for the detection of high leverage points in high dimensional data by Habshah Midi, Jaaz Suhaiza, Mohd Aslam, Hani Syahida, Emi Amielda

“…However, the MRCD-PCA algorithm is quite cumbersome and required longer computational running time. …”
Get full text
Get full text
Get full text

Face identification and verification using PCA and LDA by Chan, Lih Heng, Shaikh Salleh, Sheikh Hussain, Ting, Chee Ming, Ariff, Ahmad Kamarul

“…Algorithms based on PCA (Principal Components Analysis) and LDA (Linear Discriminant Analysis) are among the most popular appearance-based approaches in face recognition. …”
Get full text
Get full text

An Integrated Principal Component Analysis And Weighted Apriori-T Algorithm For Imbalanced Data Root Cause Analysis by Ong, Phaik Ling

“…The proposed PCA-WAT algorithm is benchmarked with the Apriori and Apriori-T algorithms.Comparison analysis on weighted support has been performed to evaluate the capability of PCA in normalising item’s support value. …”
Get full text
Get full text
Get full text
Get full text

Performance analysis of robust road sign identification by Ali, Nursabillilah M, Mohd Mustafah, Yasir, Alang Md Rashid, Nahrul Khair

“…For successful recognition rates using PCA can be achieved in the range of 94-98. …”
Get full text
Get full text
Get full text

Improved robust principal component analysis based on minimum regularized covariance determinant for the detection of high leverage points in high dimensional data (penambahbaikan... by Midi, Habshah, Suhaiza, Jaaz, Mohd Aslam, ., Hani Syahida, ., Emi Amielda, .

“…However, the MRCD-PCA algorithm is quite cumbersome and required longer computational running time. …”
Get full text
Get full text
Get full text

Fault diagnostic model for rotating machinery based on principal component analysis and neural network by Muhammad, M.B, Sarwar, U., Tahan, M.R., Abdul Karim, Z.A.

“…The effectiveness of the proposed model is illustrated by a case study on two shaft industrial gas turbine where the real-time performance monitoring data collected from the plant and used to train and test the proposed algorithm. The analysis results show that the PCA-based fusion process has significantly enhanced the performance of NNbased model when compared against NN algorithm without PCA. …”
Get full text
Get full text

Fault diagnostic model for rotating machinery based on principal component analysis and neural network by Muhammad, M.B, Sarwar, U., Tahan, M.R., Abdul Karim, Z.A.

“…The effectiveness of the proposed model is illustrated by a case study on two shaft industrial gas turbine where the real-time performance monitoring data collected from the plant and used to train and test the proposed algorithm. The analysis results show that the PCA-based fusion process has significantly enhanced the performance of NNbased model when compared against NN algorithm without PCA. …”
Get full text
Get full text

Assessing the predictability of an improved ANFIS model for monthly streamflow using lagged climate indices as predictors by Ehteram M., Afan H.A., Dianatikhah M., Ahmed A.N., Fai C.M., Hossain M.S., Allawi M.F., Elshafie A.

Algorithm for rapid identification of flavonoids classes by Che Noh, Che Hafizah, Mohamed Azmin, Nor Fadhillah, Amid, Azura, Asnawi, Ani Liza

“…Fourier Transform Infrared (FTIR) spectroscopy coupled with multivariate statistical data analysis, which is Principal Component Analysis (PCA) was utilized. The results exhibited that few significant wavenumber range provides the identification and characterization of the flavonoids classes based on PCA algorithm. …”
Get full text
Get full text
Get full text
Get full text