Silence project was present at ESReDA Webinar

Silence project was present at ESReDA Webinar

Silence project was present at ESReDA Webinar the 3rd of June 2026 (https://lnkd.in/dH9BYKwv) where an hybrid attendance of f2f (10 people) + online attendees (17 people) listened to the current status of the project. It was an important dissemination event to further discuss the project results with interested stakeholders.

DMAD and SKILLS4EII Meeting and Research Seminar

Silence project participation to DMAD and SKILLS4EII Meeting and Research Seminar

On June 3rd 2026 Silence project representatives will give a presentation on the current results at the DMAD and SKILLS4EII Meeting and Research Seminar.

Silence project participation to Rina Dissemination Day

Silence project participation to Rina Dissemination Day

On April 24th 2026 Silence project representatives participated online to Rina Dissemination day where, together with other European project, representatives of the partners presented the current status of the project and the achieved results.

SILENCE meeting Rome

6th in person meeting in Belgium

Engaging conversations have been done the 12th December during the sixth in person meeting of the SILENCE project. It’s an excellent chance to align perspectives, exchange ideas, discuss next steps and reinforce collaboration among partners.

SILENCE meeting Rome

The 5th in-person meeting for the SILENCE project is currently underway in Rome!

Exciting discussions are taking place around the project's current results and the next steps ahead. A great opportunity to align visions, share insights, and strengthen collaboration among partners.

A recently published article in Mathematics

A recently published article in Mathematics, a journal included in the top 10% of the prestigious Journal Citation Reports list, explores cutting-edge statistical methods and algorithms to model copper recovery performance that will soon be in the domain of the SILENCE project. The paper, titled "Comparison of Trivariate Copula-Based Conditional Quantile Regression Versus Machine Learning Methods for Estimating Copper Recovery", was authored by, among others, Dr. Aitor Goti, from the University of Deusto. Thus, all techniques mentioned in the article (but specially the neural network techniques) will be tested and used in the research.

ESTEP 2024

Participation at the Digital-4-Environment ESTEP Workshop

20th and 21st Feb 2024

Overview, recent developments and future trends

FENO and APERAM

FENO and APERAM have begun to identify the places where to install new suitable real-time

1 Oct 2023

A list of questions related to different issues have been selected, regarding the industrial environment and the nearby urban area to be presented of internal workers of the steel plants.