International Conference on Computing and Data Science

August 14, 2021 | USA

The 2nd International Conference on Computing and Data Science is an annual leading conference on computing technology, machine learning, computer science and data science hosted by Eliwise Academy. The 3rd International Conference on Computing and Data Science (CONF-CDS) is an leading conference on computing technology, machine learning, computer science and data science hosted by Eliwise Academy. The conference looks for significant contributions to computing, data mining and data science in theoretical and practical aspects. The submission will first be reviewed for its topic and length, then go through an originality check. The peer-review process will begin soon after the paper is found to be qualified. The paper will be sent to have a double-blind peer review by 3 reviewers. If the paper is accepted, notification of acceptance and review comments will be sent to the author via email.

Spotlight

Unplanned downtime is one of the most significant pain points for industrial manufacturers today, costing them an estimated $50 billion each year. The risk is even greater for process manufacturing, where a critical equipment failure could result in the loss of an entire batch, environmental hazards, or safety risks. The adoption of digital technologies, such as the industrial internet of things (IIoT), promises to mitigate these threats by forecasting equipment failures and catching faults before they lead to unscheduled shutdowns. However, in practice, several challenges arise when maintenance personnel and operations leaders work to implement an IIoT solution aimed at eliminating unplanned downtime.


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Spotlight

Unplanned downtime is one of the most significant pain points for industrial manufacturers today, costing them an estimated $50 billion each year. The risk is even greater for process manufacturing, where a critical equipment failure could result in the loss of an entire batch, environmental hazards, or safety risks. The adoption of digital technologies, such as the industrial internet of things (IIoT), promises to mitigate these threats by forecasting equipment failures and catching faults before they lead to unscheduled shutdowns. However, in practice, several challenges arise when maintenance personnel and operations leaders work to implement an IIoT solution aimed at eliminating unplanned downtime.

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