Graph neural networks (GNNs) haven proven to be an indispensable approach in modeling
complex data, in particular spatial temporal data, eg, relating to sensor data given as time …

The issue of determining the financial condition of commercial banks and separating
investment-attractive banks from problem banks on this ground is extremely important for …

One of the tasks of robotics is to develop a robot's ability to perform specific actions for as
long as possible without human assistance. One such step is to open different types of …

Due to coupling and correlation between nodes and buses in the power system, Power Grid
Partitioning (PGP) is a promising approach to analyze large power systems and provide …

Introduction Government agencies are now encouraging industries to enhance their security
systems to detect and respond proactively to cybersecurity incidents. Consequently …

This research paper presents a new approach for systematically categorizing philanthropic
corporate social responsibility (PCSR) initiatives using document clustering and topic …

The DBSCAN algorithm can discover clusters of arbitrary shapes, but it has difficulty in
predicting the appropriate clustering parameters. In this study, the data field is introduced …

Clustering is the division of data samples into separate groups based on standard features
to discover their structural properties. In recent studies, researchers introduced the peak …

The modern market is full of offers and discounts. Marketers use several promotional
programs to entice customers to buy products and services. While advertising goals are long …