Research Output per year

## Personal profile

### URL

http://science.utm.my/

## Fingerprint Fingerprint is based on mining the text of the persons scientific documents to create an index of weighted terms, which defines the key subjects of each individual researcher.

- 1 Similar Profiles

Support vector machines
Engineering & Materials Science

Model
Mathematics

Decomposition
Engineering & Materials Science

Forecasting
Mathematics

Time series
Engineering & Materials Science

frequency analysis
Earth & Environmental Sciences

Moment
Mathematics

rainfall
Earth & Environmental Sciences

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Network
Recent external collaboration on country level. Dive into details by clicking on the dots.

## Research Output 2006 2017

## Comparison between MEMD-LSSVM AND MEMD-ARIMA in forecasting exchange rate

Rashid, N. I. A., Shabri, A. & Samsudin, R. 31 Jan 2017 In : Journal of Theoretical and Applied Information Technology. 95, 2, p. 328-339 12 p.Research output: Contribution to journal › Article

Least squares support vector machine

Support vector machines

Decompose

Decomposition

Moving average

## Regional frequency analysis of streamflow based on partial L-moments approach

Zakaria, Z. A., Shabri, A. & Awang, M. K. 1 Feb 2017 In : Far East Journal of Mathematical Sciences. 101, 4, p. 689-702 14 p.Research output: Contribution to journal › Article

L-moments

Partial

Frequency analysis

Malaysia

Generalized extreme value distribution

## Tourism forecasting using hybrid modified empirical mode decomposition and neural network

Yahya, N. A., Samsudin, R. & Shabri, A. 1 Mar 2017 In : International Journal of Advances in Soft Computing and its Applications. 9, 1, p. 14-31 18 p.Research output: Contribution to journal › Article

Decomposition

Neural networks

Time series

Industry

Experiments

## A modified EMD-ARIMA based on clustering analysis for fishery landing forecasting

Shabri, A. 2016 In : Applied Mathematical Sciences. 10, 33-36, p. 1719-1729 11 p.Research output: Contribution to journal › Article

Fisheries

Forecasting

Decompose

Landing

Decomposition

## Exchange rate forecasting using modified empirical mode decomposition and least squares support vector machine

Rashid, N. I. A., Samsudin, R. & Shabri, A. 2016 In : International Journal of Advances in Soft Computing and its Applications. 8, 3, p. 31-47 17 p.Research output: Contribution to journal › Article

Support vector machines

Decomposition

Ion exchange

Autocorrelation

Pattern recognition