๐๐๐ญ๐๐๐ฅ๐ข๐ฑ ๐๐จ๐ง๐ฌ๐จ๐ซ๐ญ๐ข๐ฎ๐ฆ ๐๐ญ ๐๐๐๐๐ ๐๐๐๐ ๐๐จ๐ง๐๐๐ซ๐๐ง๐๐ ๐ข๐ง ๐๐๐ซ๐ญ๐ก
From ๐๐ฎ๐ ๐ฎ๐ฌ๐ญ ๐๐ ๐ญ๐จ ๐๐, ๐๐๐๐, the international ๐๐๐๐๐๐ ๐๐๐๐ conference (Application of Computers and Operations Research in the Minerals Industry) took place in ๐๐๐ซ๐ญ๐ก, ๐๐ฎ๐ฌ๐ญ๐ซ๐๐ฅ๐ข๐. This event stands out for its exceptionally high scientific standard and is dedicated to digitalization professionals, researchers, and teams developing AI models for the mining industry.
For the ๐๐๐ญ๐๐๐ฅ๐ข๐ฑ ๐๐จ๐ง๐ฌ๐จ๐ซ๐ญ๐ข๐ฎ๐ฆ, participation in APCOM 2025 provided invaluable opportunitiesโnot only through peer review of our analytical models but also via knowledge transfer of advanced solutions that support our analytics development and offering processes. The program featured over ๐๐ ๐ฉ๐๐๐ซ-๐ซ๐๐ฏ๐ข๐๐ฐ๐๐ ๐ฉ๐๐ฉ๐๐ซ๐ฌ, training sessions, workshops, and expert panels, delivering a knowledge exchange and training level comparable to the worldโs top industry events.
Representing the ๐๐ฒ๐ฌ๐ญ๐๐ฆ ๐๐ง๐๐ฅ๐ฒ๐ญ๐ข๐๐ฌ ๐๐๐ฉ๐๐ซ๐ญ๐ฆ๐๐ง๐ญ ๐๐ญ KGHM CUPRUM sp. z o.o. – Centrum Badawczo-Rozwojowe, dr hab. eng. Paweล Stefaniak (Habilitated Doctor of Engineering) and MSc Eng. Maria Stachowiak presented research results conducted within the NetHelixEU ๐ฉ๐ซ๐จ๐ฃ๐๐๐ญ, delivering ๐ญ๐ก๐ซ๐๐ ๐ญ๐๐๐ก๐ง๐ข๐๐๐ฅ ๐ฉ๐๐ฉ๐๐ซ๐ฌ:
1๏ธโฃMonitoring-based optimization of Horizontal Transport in Underground Mines Using Machine Learning and Data Integration from NGIMU sensors.
2๏ธโฃOptimization of Mining Machinery Maintenance in Modern Mining Enterprises through Text Mining and Machine Learning Techniques
3๏ธโฃReal-Time Monitoring and Machine Tracking in Large-Scale Underground Mines Using Safety Systems and Machine Learning Techniques
The NetHelix project demonstrates how interdisciplinary collaboration across research institutions and industry can lead to innovation in reliability modeling, system network analysis, and predictive mining operations.
A big thank-you to all our consortium partners โ your contribution is making an international impact! ๐๐

