An Overview Computational Intelligence Solution in Forensic Drug Analysis

Authors

  • Yee Ching Saw
  • Azah Kamilah Muda

Keywords:

Forensic Drug Analysis, Molecular Structures, Computational Intelligence, Artificial Intelligence

Abstract

In the past decade, computational intelligence has been widely applied in various fields to performing the task that are difficult or expensive in cost using conventional techniques. CI aims to ease the burden of human on a specific task. It is widely applied in various fields such as electrical engineering, computer science, business, and electronic and communication engineering. Hence, this has successfully drawn the attention from the researchers. The purpose of this paper is to present the application of CI in forensic drug analysis. In this paper, we present an overview of the CI techniques in various molecular structure research. We will study how CI techniques including genetic algorithm, artificial neural network, fuzzy logic, and hybrids of these techniques, could be employed to study the variety of different molecular structures such as protein, gene expression, and DNA structure. In addition, this application review also aims to present a concise survey of articles appearing in publication that appeal to forensic drug analysis. A brief explanation of several forensic drug analysis techniques that employed in the industries laboratory has been provided. Besides, several key articles have been selected to describe how CI techniques have been practiced in the forensic drug analysis within the scope of each of the discipline areas.

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Published

2016-10-01

How to Cite

Yee Ching Saw, & Azah Kamilah Muda. (2016). An Overview Computational Intelligence Solution in Forensic Drug Analysis. Journal of Network and Innovative Computing, 4, 8. Retrieved from https://cspub-jnic.org/index.php/jnic/article/view/127

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Section

Original Article