The p-median problem represents a widely applicable problem in different fields such as
operational research and supply chain management. Numerous versions of the p-median …

Dementia is a disease that affects a large proportion of elders and the number of elders that
suffer from this condition is expected to increase dramatically in the next decades …

This research paper addresses the challenge of optimal camera placement to achieve
maximum coverage of a simple polygon with holes, a critical aspect in computer vision, the …

Digitalization, analysis and optimization of discrete manufacturing processes represent a
research challenge because the data generated by the sensors that monitor the …

Insider threat continues to pose a risk to organizations, and in some cases, the country at
large. Data breach events continue to show the insider threat risk has not subsided. This …

ABSTRACT Extreme Learning Machines (ELM) is a fast learning algorithm that eliminates
the tuning of input parameters (weights and biases) of the hidden layer. However, ELM does …

The second generation of algorithms intended for neural networks is named extreme
learning machines (ELMs). Since the computing of output weights of ELM encounters the …

Decision-making is a critical task in our day-to-day applications. Any problem in this real
world needs accurate solution at any point of time. There are several machine learning …

Most classification algorithms suffer from manual parameter tuning and it affects the training
computational time and accuracy performance. Extreme Learning Machines (ELM) emerged …

Node embeddings present a powerful method of embedding graph-structured data into a
low dimensional space while preserving local node information. Clustering is a common …