activity
20192022
most citedAdvancing from Predictive Maintenance to Intelligent Maintenance with AI and IIoT

22 citations · 29 across the 4 of their papers we have counts for

collaborators

5 papers

stat.AP2022★ 2 cited

Modeling and mitigation of occupational safety risks in dynamic industrial environments

Ashutosh Tewari, Antonio R. Paiva

Identifying and mitigating safety risks is paramount in a number of industries. In addition to guidelines and best practices, many industries already have safety management systems…

stat.AP2022★ 3 cited

Methodology for Testing and Evaluation of Safety Analytics Approaches

Antonio R. Paiva, Ashutosh Tewari

There has been a significant increase in the development of data-driven safety analytics approaches in recent years. In light of these advances it has become imperative to evaluate…

eess.SP2021★ 2 cited

Assessing Machine Learning Approaches to Address IoT Sensor Drift

Haining Zheng, Antonio Paiva

The proliferation of IoT sensors and their deployment in various industries and applications has brought about numerous analysis opportunities in this Big Data era. However, drift…

cs.LG2020★ 22 cited

Advancing from Predictive Maintenance to Intelligent Maintenance with AI and IIoT

Haining Zheng, Antonio R. Paiva, Chris S. Gurciullo

As Artificial Intelligent (AI) technology advances and increasingly large amounts of data become readily available via various Industrial Internet of Things (IIoT) projects, we eva…

stat.ML2019

Fault Detection and Identification using Bayesian Recurrent Neural Networks

Weike Sun, Antonio R. C. Paiva, Peng Xu +2

In processing and manufacturing industries, there has been a large push to produce higher quality products and ensure maximum efficiency of processes. This requires approaches to e…