Motivation: The past decade has seen the introduction of fast and relatively inexpensive
methods to detect genetic variation across the genome and exponential growth in the …

The ability to accurately determine localized building occupancy in real time enables several
compelling applications, including intelligent control of building systems to minimize energy …

Supervised learning has been a great success in real-world applications. It is used in almost
every domain, including text and Web domains. Supervised learning is also called …

Data pre-processing plays a vital role in data mining for ensuring good quality of data. In
general data pre-processing tasks include imputation of missing values, identification of …

Surface mining activities, exploitation of ore and stripping and dumping overburden, cause
changes on the land cover and land use of the mine area. Sustainable mining requires …

In this paper, we introduce an innovative method to diagnose electoral fraud using vote
counts. Specifically, we use synthetic data to develop and train a fraud detection prototype …

Data structure selection is one of the most critical aspects of developing effective
applications. By analyzing data structures' behavior and their interaction with the rest of the …

We present a method whereby an embodied agent using visual perception can efficiently
create a model of a local indoor environment from its experience of moving within it. Our …

In recent years, due to increasing necessity and the rise in agricultural production
worldwide, an efficient, uncomplicated and precise classification mechanism of agricultural …

Learning techniques for famine prediction. Early detection of famine reduces vulnerability of
the society at risk. The dataset used in the study was collected between 2004 to 2005 across …