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Journal ArticleDOI

Industry 4.0: A Survey on Technologies, Applications and Open Research Issues

TLDR
A comprehensive review on Industry 4.0 is conducted and presents an overview of the content, scope, and findings by examining the existing literatures in all of the databases within the Web of Science.
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This article is published in Journal of Industrial Information Integration.The article was published on 2017-06-01. It has received 1906 citations till now. The article focuses on the topics: Industry 4.0 & Enterprise architecture.

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Citations
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Journal ArticleDOI

Predictive maintenance in the Industry 4.0: A systematic literature review

TL;DR: It was concluded that computer science, including artificial intelligence and distributed computing fields, is more and more present in an area where engineering was the dominant expertise, so detaching the importance of a multidisciplinary approach to address Industry 4.0 effectively.
Journal ArticleDOI

Federated Learning for Internet of Things: A Comprehensive Survey

TL;DR: In this paper, a comprehensive survey of the emerging applications of federated learning in IoT networks is provided, which explores and analyzes the potential of FL for enabling a wide range of IoT services, including IoT data sharing, data offloading and caching, attack detection, localization, mobile crowdsensing and IoT privacy and security.
Journal ArticleDOI

Industry 5.0: A survey on enabling technologies and potential applications

TL;DR: This paper aims to provide a survey-based tutorial on potential applications and supporting technologies of Industry 5.0 from the perspective of different industry practitioners and researchers.
Journal ArticleDOI

Edge Computing in Industrial Internet of Things: Architecture, Advances and Challenges

TL;DR: Some typical application scenarios of edge computing in IIoT, such as prognostics and health management, smart grids, manufacturing coordination, intelligent connected vehicles (ICV), and smart logistics, are introduced.
Journal ArticleDOI

Privacy-Preserved Data Sharing Towards Multiple Parties in Industrial IoTs

TL;DR: This paper proposes a privacy-preserved data sharing framework for IIoTs, where multiple competing data consumers exist in different stages of the system, and provides for both algorithms a comprehensive consideration on privacy, data utility, bandwidth efficiency, payment, and rationality for data sharing.
References
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Towards a Methodology for Developing Evidence-Informed Management Knowledge by Means of Systematic Review

TL;DR: The extent to which the process of systematic review can be applied to the management field in order to produce a reliable knowledge stock and enhanced practice by developing context-sensitive research is evaluated.
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Towards a Methodology for Developing Evidence-Informed Management Knowledge by Means of Systematic Review

TL;DR: In this article, the authors evaluate the process of systematic review used in the medical sciences to produce a reliable knowledge stock and enhanced practice by developing context-sensitive research and highlight the challenges in developing an appropriate methodology.
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Analyzing the past to prepare for the future: writing a literature review

TL;DR: A review of prior, relevant literature is an essential feature of any academic project that facilitates theory development, closes areas where a plethora of research exists, and uncovers areas where research is needed.
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Internet of Things in Industries: A Survey

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A Cyber-Physical Systems architecture for Industry 4.0-based manufacturing systems

TL;DR: A unified 5-level architecture is proposed as a guideline for implementation of Cyber-Physical Systems (CPS), within which information from all related perspectives is closely monitored and synchronized between the physical factory floor and the cyber computational space.
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