Mohd Zakree

Mohd Zakree
Universiti Kebangsaan Malaysia | ukm · Center for Artificial Intelligence Technology

About

11
Publications
2,443
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106
Citations
Citations since 2016
6 Research Items
84 Citations
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Publications

Publications (11)
Article
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Streaming data applications are common due to the advancement of technology to continuously capture or produce data, such as sensors for temperature, humidity and precipitation observations, social media or chatbots. These data applications receiving massive data in real-time requires an efficient algorithm and sufficient memory for analytics. Inte...
Article
The clustering algorithms importance has increased with the continuous increase of the data size collected from different sources every day. Clustering has been used in various applications for extracting and analyzing patterns from the data. However, data clustering is facing many challenges, which the researchers try to solve via different method...
Article
The development of Internet-of-Things (IoT) technologies is increasing at an undiminished rate. The IoT embedded in a system requires a robust algorithm for clustering a vast amount of data streaming online, in real-time. Processing such an amount of data in real-time requires an efficient algorithm and sufficient memory. The density-based method h...
Article
Full-text available
Indonesia is the most populous Muslim country, but yet drugs and substance abuse has not abated. Death penalty to punish drug traffickers does not stopping the statistics on drug-related death to rise. Thus, education about drugs abuse is an essential part of the war against drugs abuse. The daily loss of dozens of lives to drug addiction in Indone...
Article
Full-text available
Target searching in unknown environment using multi-robot search systems has received increasing attention in recent years. Particle Swarm Optimization (PSO) has applied successfully on multi-robot target searching system. However, this algorithm suffer from premature convergence problem and cannot escape from the local optima. It is, therefore, im...
Article
Full-text available
The Aircraft Landing Problem (ALP) is an important element in airport operations. It has been widely explored and a variety of approaches have been investigated and developed. ALP is an NP-hard problem that deals in assigning an arriving aircraft to an available runway and a landing time. The landing time for each aircraft must be within a time int...
Article
Full-text available
This paper proposes a method based on the Multi-Swarm Particle Swarm Optimization (PSO) with Local Search on the multi-robot search system to find a given target in a Complex environment that contains static obstacles. This method by applying Multi-Swarm with Multi-Best particles on the multi-robot system can overcome the premature convergence prob...
Article
Full-text available
Robot Path Planning (RPP) in dynamic environments is a search problem based on the examination of collision-free paths in the presence of dynamic and static obstacles. Many techniques have been developed to solve this problem. Trapping in a local minima and maintaining a Real-Time performance are known as the two most important challenges that thes...
Article
Full-text available
Particle Swarm Optimization (PSO) is a biologically inspired computational search and optimization method based on the social behaviors of birds flocking or fish schooling. Although PSO is represented in solving many well-known numerical test problems, but it suffers from the premature convergence. A number of basic variations have been developed d...
Article
Full-text available
The number of messages that can be mined from online entries increases as the number of online application users increases. In Malaysia, online messages are written in mixed languages known as ‘Bahasa Rojak’. Therefore, mining opinion using natural language processing activities is difficult. This study introduces a Malay Mixed Text Normalization A...
Article
Attribute reduction deals in finding all possible reducts by egesting redundant attributes while maintaining the information of the problem in hand. This paper aims to investigate an alternative approach to find the minimal attribute from a large set of attributes. Towards this goal, a reheat simulated annealing (Reheat-SA) is proposed to solve an...

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