Asian Science Citation Index is committed to provide an authoritative, trusted and significant information by the coverage of the most important and influential journals to meet the needs of the global scientific community.  
ASCI Database
308-Lasani Town,
Sargodha Road,
Faisalabad, Pakistan
Fax: +92-41-8815544
Contact Via Web
Suggest a Journal
 
Articles by S.A.A. Karim
Total Records ( 3 ) for S.A.A. Karim
  M.K. Hasan , J. Sulaiman , S.A.A. Karim and M. Othman
  The objective of this study was to describe numerical methods that apply complexity reduction approach to solve various scientific problems. Due to their low in complexity, their computations are faster than their standard form. Some of the methods have even higher in accuracy compared to their standard methods. In this study, we will describe the development of some of the methods that have been recently used to solve various scientific problems.
  S.A.A. Karim and R. Razali
  The current flu pandemic caused by the Influenza Type A virus called H1N1 started in late March 2009 and to date has infected more than 1 million persons all over the world with more than 15,000 deaths in 182 countries. Malaysia is one of the countries has registered about 12,000 cases with 77 fatalities. In this study we discuss our preliminaries studies of the development of mathematical model to help understand the dynamics of an epidemic, to design treatment and develop a control strategies such as a vaccination program or quarantine policy.
  S.A.A. Karim , B.A. Karim , M.T. Ismail , M.K. Hasan and J. Sulaiman
  The development of wavelet theory in recent years has motivated the emergence of applications such as in signal processing, image and function representation, finance, economics, numerical method etc. One of the dvantages wavelet as compared with Fourier is, it has fast algorithm to evaluate the series expansion. In the present study, we will discuss the applications of fast wavelet algorithm namely Discrete Wavelet Transform (DWT) in finance such as denoising the time series by using wavelet thresholding. Some numerical results by using real data will be presented.
 
 
 
Copyright   |   Desclaimer   |    Privacy Policy   |   Browsers   |   Accessibility