AI Methods Used for Spam Detection in Social Systems – an overview
Published in: The 10th International Conference on Social Networks Analysis, Management and Security (SNAMS-2023)
Nov 23, 2023
Over the past few years, AI has emerged as a formidable asset in the battle against spam. AI approaches have demonstrated their potential in improving spam detection in social systems. The importance of AI methods lies in their flexibility and ability to identify patterns, rendering them highly suitable for addressing the ever-changing characteristics of spam. In this paper, we provide an overview of all AI methods and algorithms used for spam detection in social systems, and evaluation of thei...
COVID-19 Spread Modeling Incorporating Suggestive Optimal Control Strategies under Uncertainty
Published in: Advances in Systems Science and Applications
Nov 22, 2023
In the present paper, we have provided a five-compartmental epidemic model in an interval environment to analyze the spread of COVID-19 infection in India. The proposed model divides the entire population of India into five classes. They are susceptible, exposed, asymptomatic, symptomatic, and recovered classes. Under some suppositions, the crisp model is constructed and converted to an imprecise model by the interval number. We introduced a parametric functional form of an interval number to s...
Detection of Butane and Propane Gases via C2N Sensors: First Principles Modeling
Published in: Scientific Reports
Nov 07, 2023