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SeLoC-ML: Semantic Low-Code Engineering for Machine Learning Applications in Industrial IoT. (arXiv:2207.08818v1 [cs.SE])
cs.LG updates on arXiv.org arxiv.org
Internet of Things (IoT) is transforming the industry by bridging the gap
between Information Technology (IT) and Operational Technology (OT). Machines
are being integrated with connected sensors and managed by intelligent
analytics applications, accelerating digital transformation and business
operations. Bringing Machine Learning (ML) to industrial devices is an
advancement aiming to promote the convergence of IT and OT. However, developing
an ML application in industrial IoT (IIoT) presents various challenges,
including hardware heterogeneity, non-standardized representations of ML
models, device and …
applications arxiv code engineering industrial industrial iot iot learning low-code machine machine learning ml semantic