Lion Swarm Optimization with Deep Learning Driven Predictive Model on Blockchain Financial Product Return Rates

Sudha, P.; Amalraj, J. Jegathesh; Sivakumar, M.

doi:10.1109/icears56392.2023.10085579

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Cited by 3 publications

References 17 publications

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A new financial risk prediction model based on deep learning and quasi-oppositional coot algorithm

Alhomayani,

Alruwaitee

2024

Alexandria Engineering Journal

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A new financial risk prediction model based on deep learning and quasi-oppositional coot algorithm

Alhomayani,

Alruwaitee

2024

Alexandria Engineering Journal

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From blocks to bridges: navigating the globalization-blockchain nexus through bibliometrics analysis

Goel,

Kushwah

2024

QRFM

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Purpose This study aims to comprehensively inspect the impact of blockchain technology in the context of globalization, focusing on the most influential research works, scientific production by countries, commonly used keywords, trending topics and the conceptual and intellectual structure of this field. Design/methodology/approach A bibliometric analysis was conducted in R Studio, involving the review and scrutiny of 194 research papers indexed in the Scopus database. This analytical approach allowed for a systematic examination of the literature and the identification of key patterns and trends in blockchain and globalization research. Findings The analysis revealed the most influential research contributions, highlighted countries with significant scientific production, identified frequently used keywords and unveiled emerging trends and areas of focus in the field of blockchain and digitization. Additionally, the study explores prospective research directions. Research limitations/implications This research provides insights into the current state of blockchain and globalization research, offering valuable information for scholars, policymakers and industry professionals. The recognized themes provide a systematic structure for upcoming inquiries, directing studies toward vital domains like supply chain management and sustainable development. Moreover, the analysis emphasizes the significance of interdisciplinary collaboration and provides practical insights, enabling businesses and policymakers to enhance transparency, counteract fraud and adjust to the digital era for societal and economic advancement. Originality/value The study contributes to the prevailing literature by steering a comprehensive analysis of the interplay between blockchain technology and globalization, shedding light on influential works and emerging trends. It adds value by providing a structured overview of the field's intellectual landscape.

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A Deep Learning based Model for Predicting the future prices of Bitcoin

Singathala,

Malla,

Jayashree

et al. 2023

2023 2nd International Conference on Vision Towards Emerging Trends in Communication and Networking Technologies (ViTECoN)

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Lion Swarm Optimization with Deep Learning Driven Predictive Model on Blockchain Financial Product Return Rates

Cited by 3 publications

References 17 publications

A new financial risk prediction model based on deep learning and quasi-oppositional coot algorithm

A new financial risk prediction model based on deep learning and quasi-oppositional coot algorithm

From blocks to bridges: navigating the globalization-blockchain nexus through bibliometrics analysis

A Deep Learning based Model for Predicting the future prices of Bitcoin

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