Abnormal operation of HVAC systems can result in an increase in energy usage as well as
poor indoor air quality, thermal discomfort, and low productivity. Building automated systems …

Abstract Machine learning (ML) pervades an increasing number of academic disciplines and
industries. Its impact is profound, and several fields have been fundamentally altered by it …

Background Dietary pattern analysis is a promising approach to understanding the complex
relationship between diet and health. While many statistical methods exist, the literature …

Abstract The arrival of Big Data era has brought large, complex, and growing data generated
from numerous sources. Due to the power in felicitous decision making based on diverse …

Clustering is an essential tool in data mining research and applications. It is the subject of
active research in many fields of study, such as computer science, data science, statistics …

Newer generation sources and loads are posing new challenges to the conventional power
system protection schemes. Adaptive and intelligent protection methodology, based on …

To understand the intricacies of microorganisms at the molecular level requires making
sense of copious volumes of data such that it may now be humanly impossible to detect …

Image segmentation is an essential phase of computer vision in which useful information is
extracted from an image that can range from finding objects while moving across a room to …

Cluster analysis is an essential tool in data mining. Several clustering algorithms have been
proposed and implemented, most of which are able to find good quality clustering results …

Due to the high degree of intermittency of renewable energy sources (RES) and the growing
interdependences amongst formerly separated energy pathways, the modeling of adequate …