With the ongoing digitization of the manufacturing industry and the ability to bring together
data from manufacturing processes and quality measurements, there is enormous potential …

Because of their cross-functional nature in the company, enhancing Production Planning
and Control (PPC) functions can lead to a global improvement of manufacturing systems …

Past maintenance logs may encapsulate meaningful data for predicting the duration of
machine breakdowns, the potential causes of a problem, or the necessity to stop production …

In this research, we propose a variant of the Particle Swarm Optimization (PSO) algorithm,
namely hybrid learning PSO (HLPSO), for skin lesion segmentation and classification …

Real-time traffic crash prediction has been a major concern in the development of Collision
Avoidance Systems (CASs) along with other intelligent and resilient transportation …

This paper presents an approach for image classification based on an ensemble of
convolutional neural networks and the application to a real case study of an industrial …

Ensembling is a powerful technique to obtain the most accurate results. In some cases, the
large number of learners in ensemble learning mostly increases both computational load …

Identifying, locating, and evaluating concrete construction defects in the construction sector
consumes time and is overlaid by subjectivity. This study proposes a single-shot multibox …

Anticipating technology convergence is crucial for driving innovation and gaining a
competitive advantage. Develo** a method for forecasting the convergence of previously …

The quality of prefabricated concrete (PC) components during the construction phase is
crucial for project safety. However, manual inspections are no longer sufficient to meet the …