Sorayya Malek

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Freshwater algae can be used as indicators to monitor freshwater ecosystem condition. Algae react quickly and predictably to a broad range of pollutants. Thus they provide early signals of worsening environment. This study was carried out to develop a computer-based image processing technique to automatically detect, recognize, and identify algae genera(More)
BACKGROUND This study assesses four predictive ecological models; Fuzzy Logic (FL), Recurrent Artificial Neural Network (RANN), Hybrid Evolutionary Algorithm (HEA) and multiple linear regressions (MLR) to forecast chlorophyll- a concentration using limnological data from 2001 through 2004 of unstratified shallow, oligotrophic to mesotrophic tropical(More)
Cephalometric analysis and measurements of skull parameters using X-Ray images plays an important role in predicating and monitoring orthodontic treatment. Manual analysis and measurements of cephalometric is considered tedious, time consuming, and subjected to human errors. Several cephalometric systems have been developed to automate the cephalometric(More)
In this paper we describe the feasibility of applying Kohonen self organizing feature maps (SOM) and rule based system to determine the growth of selected algal division, Pyrrophyta using limnological time-series data of tropical Putrajaya Lake and Wetlands (Malaysia). A rule based model was developed based on the rules extracted from the SOM to model and(More)
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