Work2022

Integration of PSO and Deep Learning for Trend Analysis of Meta-Verse

Vivek Veeraiah · Huma Qamar Khan · Arhath Kumar · Shahanawaj Ahamad · Anagha Arun Mahajan · Ankur Gupta

34 citations0/0 files storedInternational Conference on Advance Computing and Innovative Technologies in Engineering (ICACITE)

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Stock Market Forecasting Methods Metaheuristic Optimization Algorithms Research Artificial Intelligence Applications

Abstract

Meta-verse is a latest type of application that incorporates a number of cutting-edge technologies. It's multi-technological, social, and hyper-spatiotemporal in nature. Deep learning techniques have made significant advances in recent years. Particle swarm optimization of nonlinear functions was introduced. A major goal of the proposed research was to verify the accuracy of PSO and deep learning for trend analysis of meta-verse. In this study, the precision of the proposed work was compared to that of previous work. Meta-verse, Deep learning, PSO, and Trending Analysis will be used in a real-world scenario in the proposed work. The proposed work provides a wide range of possibilities and adaptability.

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2019Recent trends in deep learning based personality detection 2011Innovation and imitation effects in Metaverse service adoption 2017A Deep Transfer Learning Approach for Improved Post-Traumatic Stress Disorder Diagnosis

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