With the increasing amount of available data, computing power and network speed for a
decreasing cost, the manufacturing industry is facing an unprecedented amount of data to …

In the modern era, welding systems have been made smart with the inclusion of
contemporary information technologies such as intelligent manufacturing and machine …

This paper proposes a systematic approach for exploring the compliance level of the
international safety management (ISM) code with the ISO 9001: 2000 in order to structure an …

El objetivo de este trabajo fue analizar cómo la sostenibilidad (económica, social y
ambiental), bajo el enfoque de triple línea base, afecta la calidad de servicio, el valor …

This study solved a practical problem in a case in the sheet metal industry using machine
learning and deep learning algorithms. The problem in the case company was related to …

In today's fashion retailing business, providing “fashion mix-and-match” or “fashion
coordination” recommendations is a 'must'strategy to enhance customer service and …

The inability of experts to articulate the knowledge required to solve a problem is, arguably,
the greatest challenge to building an expert system. The problem is made worse in …

The exploration of processes leading to coastal eutrophication is a major challenge in
ecological research, particularly in light of important new policies such as the European …

Classification and regression tree (CART) has been widely used in data mining to solve
classification and prediction problems. In this paper, we propose a novel numerical ant …

Recently, use of a Learning Classifier System (LCS) has become promising method for
performing classification tasks and data mining. For the task of classification, the quality of …