Blockchain acceptance rate prediction in the resilient supply chain with hybrid system dynamics and machine learning approach

P Roozkhosh, A Pooya, R Agarwal - Operations Management Research, 2023 - Springer
In today's era, the importance and implementation of blockchain networks have become
feasible as it improves the resilience of the supply chain network at all levels by clarifying …

[HTML][HTML] A K-means clustering model for analyzing the Bitcoin extreme value returns

D Das, P Kayal, M Maiti - Decision Analytics Journal, 2023 - Elsevier
Bitcoin prices are highly volatile and have extreme upper tails of the return distributions. One
important component of Bitcoin price jumps is that it does not follow a normal distribution …

Selecting green suppliers by considering the internet of things and CMCDM approach

V Bafandegan Emroozi, P Roozkhosh… - Process Integration and …, 2023 - Springer
Selecting the suppliers in a green supply chain (GSC) improves supply chain capabilities by
considering environmental policies. On the other hand, considering the development of …

[HTML][HTML] A new supply chain design to solve supplier selection based on internet of things and delivery reliability

A Modares, M Kazemi, VB Emroozi… - Journal of Industrial …, 2023 - aimsciences.org
In this study, an attempt is made to examine the planning for supply, production, and
distribution with an integrated approach to reduce waste and returned products in such a …

Degradation and polarization curve prediction of proton exchange membrane fuel cells: An interpretable model perspective

Y Yu, Q Yu, RS Luo, S Chen, J Yang, F Yan - Applied Energy, 2024 - Elsevier
Balancing the performance and durability of Proton Exchange Membrane Fuel Cells
(PEMFCs) is a significant challenge. Current data-driven technologies mainly focus on …

Centralized decomposition approach in LSTM for Bitcoin price prediction

E Koo, G Kim - Expert Systems with Applications, 2024 - Elsevier
It has been reported that integrating time-series decomposition methods and neural network
models improves financial time-series prediction performance. Despite its practical …

Dynamic analysis of bitcoin price under market news and sentiments and government support policies

P Roozkhosh, A Pooya - Computational Economics, 2023 - Springer
Numerous variables are involved in determining the market capitalization and price of
cryptocurrencies. So, It is impossible to ignore the feedback of each variable on the other …

Gauging Demand for Cryptocurrency over the Economic Policy Uncertainty and Stock Market Volatility

EK Chowdhury, MN Abdullah - Computational Economics, 2023 - Springer
This paper analyzes the response of cryptocurrency returns to the movement of economic
policy uncertainty (EPU) and stock market volatility (VIX), as well as a few macroeconomic …

A new vendor-managed inventory four-tier model based on reducing environmental impacts and optimal suppliers selection under uncertainty

A Modares, NM Farimani… - Journal of Industrial and …, 2024 - aimsciences.org
For the best implementation of (vendor-managed inventory) VMI, a vendor must choose the
optimal combination of suppliers that can better meet the criteria of environmental problems …

[HTML][HTML] A novel approach to traffic modelling based on road parameters, weather conditions and GPS data using feedforward neural networks

I Betkier, M Oszczypała - Expert Systems with Applications, 2024 - Elsevier
This article presents the development of a estimation model using an artificial neural
network to estimate the traffic factor parameter, which reflects changes in travel time for a …