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Large-scale End-of-Life Prediction of Hard Disks in Distributed Datacenters
Past work suggests using LSTMs as an excellent approach to predicting remaining useful life.
Aspirations and Practice of Model Documentation: Moving the Needle with Nudging and Traceability
The documentation practice for machine-learned (ML) models often falls short of established practices for traditional software, which impedes model accountability and inadvertently abets inappropriate or misuse of models.
Integration of a machine learning model into a decision support tool to predict absenteeism at work of prospective employees
Originality/value - In this paper, we propose a model that is trained based on attributes that can be collected during the hiring process.
Remaining Useful Life Estimation of Hard Disk Drives using Bidirectional LSTM Networks
Physical and cloud storage services are well-served by functioning and reliable high-volume storage systems.
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