Ethereum
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Ethereum Price Prediction Using Extra Trees and Random Forest Regressors
Abstract: The Ethereum market is famous for its unpredictability and the possibility of significant profits, presenting both opportunities and obstacles for investors and stakeholders. Given the dynamic nature of this ecosystem, accurate prediction of Ethereum’s price movements is essential for informed decision-making. In this project, we propose an innovative approach that leverages ensemble learning techniques, specifically extra trees and random forest regressors, for Ethereum price prediction. By harnessing a diverse dataset …
Published in International Journal of Distributed Computing and Technology · Vol. 10, Issue 2, 2024 · pp. 9–25 Read article
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Implementation of Dropshipping Using Blockchain
Abstract: This research introduces a novel approach to dropshipping via integration of blockchain technology and smart contracts. Dropshipping is a business model where retailers avoid stocking products by directly fulfilling orders from wholesalers, and face challenges related to inventory management, understocking, overstocking, and financial risks attached. This also focuses on issues related to tampering of data and mishandling of products during the exit transits. Our study addresses these challenges by leveraging …
Published in International Journal of Distributed Computing and Technology · Vol. 10, Issue 1, 2024 · pp. 29–34 Read article