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Fog Computing and Industry 4.0 for Newsvendor Model Using Attention Mechanism and GRU

https://doi.org/10.2139/ssrn.4646486
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Outgoing claims: the papers this work cites, builds on, or argues with.

inferredcites →https://doi.org/10.1007/978-3-319-70087-8_93openalex-extracted
Assessing the Performance of Deep Learning Algorithms for Newsvendor Problem
inferredcites →https://doi.org/10.1016/j.ejor.2021.12.047openalex-extracted
An integrated data-driven method using deep learning for a newsvendor problem with unobservable features
inferredcites →https://doi.org/10.1016/j.future.2018.08.043openalex-extracted
Modeling industry 4.0 based fog computing environments for application analysis and deployment
inferredcites →https://doi.org/10.1016/j.icte.2021.05.004openalex-extracted
A Review on Fog Computing: Architecture, Fog with IoT, Algorithms and Research Challenges
inferredcites →https://doi.org/10.1016/j.ifacol.2018.08.279openalex-extracted
CONTROL THEORY APPLICATIONS TO OPERATIONS SYSTEMS, SUPPLY CHAIN MANAGEMENT AND INDUSTRY 4.0 NETWORKS
inferredcites →https://doi.org/10.1016/j.ijforecast.2019.07.001openalex-extracted
DeepAR: Probabilistic forecasting with autoregressive recurrent networks
inferredcites →https://doi.org/10.1080/24725854.2019.1632502openalex-extracted
Applying deep learning to the newsvendor problem
inferredcites →https://doi.org/10.1108/jmtm-10-2019-0368openalex-extracted
The impact of Industry 4.0 implementation on supply chains
inferredcites →https://doi.org/10.1109/access.2017.2766923openalex-extracted
A Framework of Fog Computing: Architecture, Challenges, and Optimization
inferredcites →https://doi.org/10.1109/access.2019.2923610openalex-extracted
A Smart Manufacturing Service System Based on Edge Computing, Fog Computing, and Cloud Computing
inferredcites →https://doi.org/10.1109/besc48373.2019.8962977openalex-extracted
The Multi-product Newsvendor Problem: Review and Extensions
inferredcites →https://doi.org/10.1109/tii.2018.2855198openalex-extracted
Deploying Fog Computing in Industrial Internet of Things and Industry 4.0
inferredcites →https://doi.org/10.1109/tnnls.2020.3019893openalex-extracted
Attention in Natural Language Processing
inferredcites →https://doi.org/10.1287/mnsc.32.10.1336openalex-extracted
A Single Product Cycling Problem Under Brownian Motion Demand
inferredcites →https://doi.org/10.1287/opre.2018.1757openalex-extracted
The Big Data Newsvendor: Practical Insights from Machine Learning
inferredcites →https://doi.org/10.3115/v1/d14-1179openalex-extracted
Learning Phrase Representations using RNN Encoder–Decoder for Statistical Machine Translation
inferredcites →https://doi.org/10.48550/arxiv.1409.0473openalex-extracted
Neural Machine Translation by Jointly Learning to Align and Translate
inferredcites →https://doi.org/10.48550/arxiv.2203.07425openalex-extracted
Computational Perspective of the Fog Node
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