Rainfall affects local water quantity and quality. A data-mining approach is applied to predict
rainfall in a watershed basin at Oxford, Iowa, based on radar reflectivity and tip**-bucket …

Allergic rhinitis has become a global health problem in recent decades because airborne
pollen is a primary trigger of this respiratory disorder. Moreover, pollinosis can exacerbate …

As an unsupervised learning technique, clustering can effectively capture the patterns in a
data stream based on similarities among the data. Traditional data stream clustering …

Workflows have been used to model repeatable tasks or operations in manufacturing,
business process, and software. In recent years, workflows are increasingly used for …

Data-intensive and long-lasting applications running in the form of workflows are being
increasingly dispatched to cloud computing systems. Current scheduling approaches for …

Workflows have been used to model repeatable tasks or operations in a number of different
industries including manufacturing and software. In recent years, workflows are increasingly …

Support vector machine (SVM), as a general and useful supervised learning tool, is facing
with some challenges such as low learning efficiency, poor generalization performance …

Hazard analysis is the first step in any disaster management activity. Drought is a serious
environmental hazard strongly limiting the agricultural production in the tropical countries …

According to Brundtland Commission of the United Nations, sustainability can be defined as
“capacity to endure the needs of today's population without jeopardizing the ability of the …

Gaining knowledge on weather patterns, trends and the influence of their extremes on
various crop production yields and quality continues to be a quest by scientists …