Abstract. In this paper we introduce RuleRunner, a Runtime Verification system for monitoring LTL properties over finite traces. By exploiting results from ...
The results show that neural networks can perform real-time runtime verification and techniques of parallel computing can be applied to improve the performance ...
This study presents a novel in-situ monitoring approach for LW-DED, utilizing process images for melt pool segmentation, melt pool geometrical characteristics ...
Missing: Scalable Rules
This comprises connecting machines, sensors, and other devices to each other and to the cloud, allowing users to monitor and control manufacturing processes.
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Abstract— This work demonstrates a programmable in- memory-computing (IMC) inference accelerator for scalable execution of neural network (NN) models, ...
Mar 16, 2023 · Learn how to design and test your neural network model to make it scalable and robust in production, with tips on architecture, ...
Nov 21, 2024 · We present a highly compact run-time monitoring approach for deep computer vision networks that extracts selected knowledge from only a few ...
In this work reliable and efficient methods for process state prediction using Machine Learning (ML) classification methods were developed for this application.
Missing: Rules | Show results with:Rules
Oct 31, 2024 · Scaling has been a critical factor in improving model performance and generalization across various fields of machine learning.
Missing: Rules | Show results with:Rules
Jul 19, 2022 · We propose an approach, called CNN-BiGRU, by combining Convolutional Neural Network (CNN) with a variant and enhancement of Recurrent Neural Network (RNN).