Iftikhar U. Sikder

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Management of invasive species depends on developing prevention and control strategies through comprehensive risk assessment frameworks that need a thorough analysis of exposure to invasive species. However, accurate exposure analysis of invasive species can be a daunting task because of the inherent uncertainty in invasion processes. Risk assessment of(More)
Evolutionary algorithms (EA) are gaining popularity due to their success in solving optimization problems. New methods are being introduced continuously in the literature. One such technique, biogeography-based optimization (BBO) is proving itself as an effective algorithm for real-world problems with large number of variables. Previous work shows that(More)
The characterisation of uncertainty and the management of Quality of Service are important issues in mobile communications. In a Wireless Sensor Network, there is a high probability of redundancy, correlation and noise in the sensor features since data is often collected from a large array of densely deployed neighbouring sensors. This article proposes a(More)
This paper presents a machine learning approach to characterizing premonitory factors of earthquake. The characteristic asymmetric distribution of seismic events and sampling limitations make it difficult to apply the conventional statistical predictive techniques. The paper shows that inductive machine learning techniques such as rough set theory and(More)
abstract Spatial epidemiological approach to healthcare studies provides significant insight in evaluating health intervention and decision making. This article illustrates a space-time cluster analysis using Kulldorff's Scan Statistics (1999), local indicators of spatial autocorrelation, and local G-statistics involving routine clinical service data as(More)
This paper illustrates a rule induction approach to discover decision patterns by using Dominance-based Rough Set Approach (DRSA) to unravel the intrinsic factors for learning successes and failures in a cooperative group-learning environment. It employs an innovative group quiz method in a university Management Information Systems (MIS) course which(More)