The present research presents a framework that supports the development and operation of
machine-learning (ML) algorithms to develop, maintain and manage the whole lifecycle of …

This paper proposes monitoring of the dual dc-dc converters that independently operate of
each other in the same topology (Buck-Boost). The dual converter structure is proposed to …

Impurity removal is an essential stage in non-ferrous metal hydrometallurgy. The control
removal process influences the stability and production qualification of the whole process …

The paper introduces the Quality Clusters for Operators (QC4O) approach, aimed at
improving quality control strategies in modern manufacturing. It identifies a dual challenge …

The concept of Total Quality Management (TQM) was introduced in Japan and United
States. Most of researchers have focused on soft TQM (principles and concepts) while some …

Orta yoğunluktaki lif levha (MDF) ürün piyasasında özellikle Çin, Endonezya gibi işçilik
ücretlerinin, enerji ve hammadde maliyetlerinin düşük olduğu ülkeler ile yoğun rekabet …

Nowadays industry and the in particular process industry more and more relies on new
information theory and artificial intelligence related solutions that can help to improve the …

As technology advances, chemical analysis laboratories use statistical techniques to
demonstrate the accuracy and precision of analytical methods. To make comparisons …

El trabajo propuesto está centrado en el estudio del consumo específico de combustible en
el horno de una unidad de destilación de crudo de una empresa petroquímica. Por motivos …