To meet surging demands for deep learning inference services, many cloud computing
vendors employ high-performance specialized accelerators, called neural processing units …

The worldwide adoption of mobile devices is raising the value of Mobile Performance
Marketing, which is supported by Demand-Side Platforms (DSP) that match mobile users to …

Within the context of Industry 4.0, quality assessment procedures using data-driven
techniques are becoming more critical due to the generation of massive amounts of …

In this paper, we propose an Intelligent Decision Support System (IDSS) for the design of
new textile fabrics. The IDSS uses predictive analytics to estimate fabric properties (eg …

Abstract Categorical Attribute traNsformation Environment (CANE) is a simpler but powerful
data categorical preprocessing Python package. The package is valuable since there is …

In this paper, we propose a Machine Learning (ML) approach to predict faults that may occur
during the production of fabrics and that often cause production downtime delays. We …

Within the context of Industry 4.0, quality assessment procedures using data-driven
techniques are becoming more critical due to the generation of massive amounts of …

Nowadays, the general interest in Machine Learning (ML) based solutions is increasing.
However, to develop and deploy a ML solution often requires experience and it involves …

This article develops a conceptual proposal for an “Autonomous Consumer Business”(ACB),
which is characterized by fully automated transactions between a provider and a consumer …

Anomaly detection attempts to identify abnormal events that deviate from normality. Since
such events are often rare, data related to this domain is usually imbalanced. In this paper …