Kosta Mitreski

Learn More
One of the main goals of the TRABOREMA project was related to the design of the integrated database system. The created database system should provide a convenient, easy-to-use, intuitive way of storing the captured data. The integrated database system represents a centralized storage facility which enables the users to better organize, control, manage and(More)
In this paper we present the conceptual model for environmental management system with a module for processing data, which represents a combination of telecom-routing algorithms, data transmission to the station, mathematical model of total phosphorus cycle and visualization with GIS software for the model output. The concentration of total phosphorus (TP)(More)
In this paper we use the property of diatoms as bioindicators, to indentify which WQC is the taken sample using machine learning classifying algorithm – CN2. Important physical-chemical parameters such as conductivity, saturated oxygen and mostly used pH have defined range in which water class they belong. These physical-chemical parameters have(More)
In September 1996 the EU adopted Framework Directive 96/62/EC (FWD)[1] that defines the key principles of and general requirements for air quality assessment and management in subsequent (Daughter) Directives that lay down limit levels and specify in more detail the requirements concerning each of the pollutants declared in the FWD. The requirements of(More)
The challenge to discover knowledge from environmental data that has led to usage of methods and techniques such as data mining tools, can bridge the knowledge gap between the biological experts and organisms. This research aimed to assess relationships between the diatoms and the indicators of the environment with Naïve Bayes method. Diatoms are ideal(More)
The goal of the fuzzy diatoms models is to use the advancement of the fuzzy theory and with predictive modelling to predict the outcome of given condition of diatoms. Fuzzy modelling depends from many factors, mainly by the shape of the membership functions, similarity metrics and above all the operation between the fuzzy sets – the fuzzy operators. In this(More)