Assessing Machine Learning Approaches to Address IoT Sensor Drift

no code implementations • 2 Sep 2021 • 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.

BIG-bench Machine Learning

Advancing from Predictive Maintenance to Intelligent Maintenance with AI and IIoT

no code implementations • 1 Sep 2020 • 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 evaluate the state of the art of predictive maintenance approaches and propose our innovative framework to improve the current practice.

BIG-bench Machine Learning Decision Making +1

DEEVA: A Deep Learning and IoT Based Computer Vision System to Address Safety and Security of Production Sites in Energy Industry

no code implementations • 2 Mar 2020 • Nimish M. Awalgaonkar, Haining Zheng, Christopher S. Gurciullo

When it comes to addressing the safety/security related needs at different production/construction sites, accurate detection of the presence of workers, vehicles, equipment important and formed an integral part of computer vision-based surveillance systems (CVSS).

Decision Making object-detection +4