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Automated time series forecasting
Published 2011“…While quantitative technique is based on statistical concepts and requires large amount of data in order to formulate the mathematical models.This technique can be classified into projective and causal technique.The projective technique (or univariate modelling) just involve one variable while the causal technique (or econometric modelling) suitable for multi-variables.Since forecasting involves uncertainty, several methods need to be executed on one set of time series data in order to produce accurate forecast.Hence, usually in practice forecaster need to use several softwares to obtain the forecast values.If this practice can be transformed into algorithm (well-defined rules for solving a problem) and then the algorithm can be transformed into a computer program, less time will be needed to compute the forecast values where in business world time is money.In this study, we focused on algorithm development for univariate forecasting techniques only and will expand towards econometric modelling in the future.Two set of simulated data (yearly and non-yearly) and several univariate forecasting techniques (i.e. …”
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Monograph -
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Provider independent cryptographic tools
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Monograph -
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RSA Encryption & Decryption using JAVA
Published 2006“…The key is the trigger mechanism to the algorithm. Until the advent of the Internet, encryption was rarely used by the public, but was largely a military tool. …”
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Final Year Project -
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CSC126 - Fundamentals of Algorithms and Computer Problem Solving / Faculty of Computer And Mathematical Sciences
Published 2023“…This course is an introduction to problem solving using a computer programming language. It emphasizes on algorithm development and writing computer programs, as well as common good practices in writing programs. …”
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Teaching Resource -
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Comparison Between Linear Programming And Integer Linear Programming: A Review
Published 2018“…Two techniques to solve LP, simplex method and interior-point method were introduced. …”
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Article -
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Comparison of Some Numerical Methods for Solving Real-Life Nonlinear Equations by Using Python Programming / Annie Gorgey ... [et al.]
Published 2024“…The bisection method converges quickly compared with other methods for solving Planck’s radiation law, while Algorithm 1 converges quicker than other methods for solving the beam design problem. …”
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Shuffled frog leaping algorithm for solving economic load dispatch problem / Mohammad Ariffin Aizat Ezanee
Published 2015“…The proposed SFLA method is developed using MATLAB programming. This SFLA method is tested on IEEE 30 bus system and the results show that it can solve ELD problem by providing minimum cost. …”
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Thesis -
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Modeling a problem solving approach through computational thinking for teaching programming / Zebel Al Tareq
Published 2021“…This study aims to investigate teaching issues in solving programming problems and find the right approach to teach programming using a suitable problem solving approach method. …”
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Sudoku Generator based on hybrid algorithm / Faridah Abdul Rahman
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Algorithm as a problem solving technique for teaching and learning of the Malay language
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Proceeding Paper -
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Direct approach for mining association rules from structured XML data
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Solving economic load dispatch problem using genetic algorithm method / Norliza Kamarulzaman
Published 2009“…The objective of this paper is to find the generation scheduling such that the total operating cost can be minimized. Genetic Algorithm Toolbox functions in MATLAB program are utilized in solving the proposed method. …”
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A combined filter line search and trust region method for nonlinear programming
Published 2006“…A framework for solving a class of nonlinear programming problems via the filter method is presented. …”
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Article -
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An alternative method to solve combined economic emission dispatch problems using flower pollination algorithm
Published 2016“…CEED actually is a multi-objective problem and need complex programming to solve it. The problem becomes complicated when there is practical constraints to be considered as well. …”
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Double-layered hybrid neural network approach for solving mixed integer quadratic bilevel problems
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Book chapter -
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Solving Sudoku puzzles in Binary Integer Linear Programming using Branch and Bound algorithm / Ahida Waliyyah Ahmad Fuad
Published 2024“…This study explores the application of a Binary Integer Linear Programming (BILP) model combined with the Branch and Bound (B&B) algorithm to solve Sudoku puzzles. …”
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Optimization of blood vessel detection in retina images using multithreading and native code for portable devices
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Conference or Workshop Item -
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Analytical Approach for Linear Programming Using Barrier and Penalty Function Methods
Published 2003“…In order to solve the primal linear programming problems (and its dual) some methods have been used such as simplex method, geometric approach and interior points methods. …”
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