Over the last decades, web services are used for performing specific tasks demanded by
users. The most important task of service's classification system is to match an anonymous …

Clustering is a popular technique that can help make large datasets more manageable and
usable by grouping together similar objects. Most clustering approaches are too …

A Hyperspectral is the imaging technique that contains very large dimension data with the
hundreds of channels. Meanwhile, the Hyperspectral Images (HISs) delivers the complete …

Flood is the most destructive natural disaster in Malaysia, causing significant economic and
human life losses. Recent flood management paid more attention to flood risk assessment to …

Standard experimental datasets permit comprehensive analysis between approaches.
These datasets are ubiquitous in many data science domains but uncommon in remote …

Satellites have proven to be a technology that can help in a variety of environmental and
human development contexts. However, at times some pixels in the satellite images are not …

A Hyperspectral is the imaging technique that contains very large dimension data with the
hundreds of channels. Meanwhile, the Hyperspectral Images (HISs) delivers the complete …

This article considers applying machine learning algorithms for solving customer
relationship management problems, more specifically, for predicting the success of banks …