Data mining is an analytical approach that contributes to achieving a solution to many
problems by extracting previously unknown, fascinating, nontrivial, and potentially valuable …

Internet of things (IoT) furnished recent cultivated procedures can alter the prevailing
agriculture mechanisms by computerizing the complete technique of farming since crop …

Sensing technologies place significant interest in the use of biometrics for the recognition
and assessment of individuals. Pattern mining techniques have established a critical step in …

The current study identifies infrastructure locations for air taxi operations in New York City
(NYC) using a prescriptive analytics approach. Based on the potential air taxi demand …

Background Knowing the feed intake pattern during lactation of modern genetic sows is
crucial because it allows to anticipate possible problems and maximize their performance …

For the past two decades, there is a paradigm shift in the field of automation (IoT), and it is
affecting several aspects of life.“Activity Modeling” is a part of such automation, and it has …

Rural electrification planning is a complex process requiring careful consideration of various
factors to ensure efficient and cost-effective solutions. Existing clustering methods in …

Multi-modal clustering represents a formidable challenge in the domain of unsupervised
learning. The objective of multi-modal clustering is to categorize data collected from diverse …

The exploitation of software security vulnerabilities can have severe consequences. Thus, it
is crucial to devise new processes, techniques, and tools to support teams in the …

This paper is intended to identify the optimal number of clusters automatically from an image
dataset using some quantum behaved nature inspired meta-heuristic algorithms. Due to the …