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Towards the Development of a Rule-based Drought Early Warning Expert Systems using Indigenous Knowledge
Drought forecasting and prediction is a complicated process due to the complexity and scalability of the environmental parameters involved.
Semantic Interoperability Middleware Architecture for Heterogeneous Environmental Data Sources
Data heterogeneity hampers the effort to integrate and infer knowledge from vast heterogeneous data sources.
Road Detection Technique Using Filters with Application to Autonomous Driving System
Comparison results of the road detection system with and without filtering algorithm shows the filtering algorithm's capability to suppress the effect of environmental noises because better road/non-road classification is achieved by the road detection system.
A Framework for Accurate Drought Forecasting System Using Semantics-Based Data Integration Middleware
Technological advancement in Wireless Sensor Networks (WSN) has made it become an invaluable component of a reliable environmental monitoring system; they form the digital skin' through which to 'sense' and collect the context of the surroundings and provides information on the process leading to complex events such as drought.
