A viral outbreak is a global challenge that affects public health and safety. The coronavirus
disease 2019 (COVID-19) has been spreading globally, affecting millions of people …

Artificial intelligence (AI) has received a lot of attention with many publications in recent
years. Interestingly related projects in the industry are mostly still in their early stages. We …

The complexity of industrial processes imposes a lot of challenges in building accurate and
representative causal models for abnormal events diagnosis, control and maintenance of …

Machining activities in recent times have shifted their focus towards tool life and tool wear.
Cutting tools have been utilized on a daily basis and play a vital role in manufacturing …

Recently, carbon capture has gained increased attention as a sustainable way for mitigating
global warming. One of the promising technologies for carbon capture is the adsorption …

Fatigue failure poses a serious challenge for ensuring the operational safety of critical
components subjected to cyclic/random loading. In this context, various machine learning …

This work develops best practices for building consistent data-driven CDU models for
production planning and for monitoring. Prior knowledge-based transformations of raw data …

Abstract Analysis of industrial data imposes several challenges. These data are acquired
from heterogeneous sources such as sensors, cameras, IoT, etc, and are stored in different …

This paper proposes an innovative multi-output regression method that processes and
converts the numeric data variables into representative images (polygons) to build accurate …

This work introduces a deep-learning network, ie, multi-input self-organizing-map ResNet
(MISR), for modeling refining units comprised of two reactors and a separation train. The …