Class imbalance (CI) is a well-known problem in data science. Nowadays, it is affecting the
data modeling of many of the real-world processes that are being digitized. The …

Additive manufacturing (AM) or fused filament fabrication (FFF) are used to fabricate
innovative virgin/composite structures using thermoplastic polymers. FFF is one of the most …

Deep learning-based fault diagnosis models achieve great success with sufficient balanced
data, but the imbalanced dataset in real industrial scenarios will seriously affect the …

Abstract Machine learning (ML) has recently enabled many modeling tasks in design,
manufacturing, and condition monitoring due to its unparalleled learning ability using …

Rotating machines are among the most used equipment in industrial environments.
Monitoring the machine's parameters as well as predicting its failures are crucial tasks, as …

The ship shaft alignment is crucial to achieve a high-performance propulsion system. This
alignment is carried out, still in drydock, by adjusting the bearings' offsets. However, there …

Deep networks have been successfully applied to industrial applications for clean unimodal
data (eg, sensors, images, or audio). Leveraging multimodal data is a common approach to …

Object Detection (OD) has proven to be a significant computer vision method in extracting
localized class information and has multiple applications in the industry. Although many of …

Complementing the theoretical concepts taught in the classroom with practice has been
known to enhance students' contextual understanding of the subject matter. Exposing …

Atualmente, o ambiente das indústrias é extremamente competitivo, com as empresas
buscando otimizar os desempenhos de suas operações. Dentro do contexto dos avanços …