The rapidly growing and gigantic body of stored data in the building field, coupled with the
need for data analysis, has generated an urgent need for powerful tools that can extract …

With the advances of information technologies, today's building automation systems (BASs)
are capable of managing building operational performance in an efficient and convenient …

Imbalanced data is an important problem for medical data analysis. Medical datasets are
often not balanced in their class labels. The traditional classifiers can be seriously affected …

Recently, large amount of data is widely available in information systems and data mining
has attracted a big attention to researchers to turn such data into useful knowledge. This …

In surface mines and underground excavations, every blasting operation can have some
destructive environmental impacts, among which air overpressure (AOp) is of major …

In this paper, blast-induced ground vibration (BIGV) was considered as the primary
objective, and a new artificial intelligence system was proposed to predict BIGV with high …

A major challenge in many countries is providing sufficient energy for human beings and for
supporting economic activities while minimizing social and environmental harm. This study …

The thermophysical properties of refrigerating systems should be accurately understood for
designing low-temperature refrigeration cycles of economic acceptance. The present work …

Abstract Purpose of Review This paper reviews the data mining (DM)-related research and
applications at the building operation stage. It aims to summarize DM-based solutions for …

The temperature of a multi-junction (MJ) cell under high concentration is basic to evaluate
the performances of a concentrating photovoltaic (CPV) system from electric and thermal …