Iskalni niz:
išči po
išči po
išči po
išči po
Vrsta gradiva:
Jezik:
Št. zadetkov: 14
Open-source transformer-based information retrieval system for energy efficient robotics related literature
Tine Bertoncel
Izvirni znanstveni članek
Oznake: energy efficiency;keyphase extraction;early warning system;information system;semantic network;transformer models;industry 4.0;
Background and Purpose: This article employs the Hugging Face keyphrase-extraction-kbir-inspec machine learning model to analyze 654 abstracts on the topic of energy efficiency in systems and control, computer science and robotics. Methods: This study targeted specific arXiv categories related to en ...
Leto: 2025 Vir: Fakulteta za organizacijske vede (UM FOV)
Managerial early warning system and decision making model in contex of industry 4.0
Tine Bertoncel, Maja Meško
Doktorska disertacija
Oznake: industry 4.0;smart manufactoring;managerial early warning system;decision making;data mining;artifical intelligence;cyberphysical system;
Leto: 2020 Vir: Fakulteta za management (UP FM)
Digitalna transformacija
Polonca Beravs, Tine Bertoncel
Diplomsko delo
Oznake: digitalna transformacija;digitalna strategija;sistematični pregled literature;
Leto: 2024 Vir: Fakulteta za management (UP FM)
Generative artificial intelligence as decision support in creative industries
Mitja Bervar, Tine Bertoncel
Izvirni znanstveni članek
Oznake: creative industries;music;generative artificial intelligence;decision support;
This article examines use of generative artificial intelligence in creative industries, focusing on music.Artificial intelligence is increasingly used in production and content development; however, its integration raises challenges in the field of musical creation, where meaning and value are close ...
Leto: 2026 Vir: Fakulteta za management (UP FM)
Digitalna transformacija izbrane organizacije v padalski industriji
Špela Cehner, Tine Bertoncel
Magistrsko delo
Oznake: digitalna transformacija;padalska industrija;uporabniške izkušnje;poslovni procesi;Skydive Dubai;
Leto: 2026 Vir: Fakulteta za management (UP FM)
Use of artificial intelligence in managerial decision making within the creative industries
Mitja Bervar, Tine Bertoncel
Doktorska disertacija
Oznake: artificial intelligence;managerial decision making;creative industries;large language models;AI ethics;
Leto: 2026 Vir: Fakulteta za management (UP FM)
Generative Artificial Intelligence as Decision Support in Creative Industries
Mitja Bervar, Tine Bertoncel
Izvirni znanstveni članek
Oznake: creative industries;music;generative artificial intelligence;decision support;
This article examines use of generative artificial intelligence in creative industries, focusing on music. Artificial intelligence is increasingly used in production and content development; how­ever, its integration raises challenges in the field of musical creation, where meaning and value are clo ...
Leto: 2026 Vir: Filozofska fakulteta (UL FF)
Psychosocial factors in the development of low back pain among professional drivers
Friderika Kresal, Tine Bertoncel, Maja Meško
Izvirni znanstveni članek
Oznake: low back pain;psychosocial factors;professional drivers;prevention;Slovenia;
Background and purpose: Professional drivers as a group are exposed to high risk of developing low back pain due to ergonomic factors and work conditions. The purpose of the study was to examine to what extent the low back pain occurs among Slovene professional drivers as a result of the development ...
Leto: 2017 Vir: Fakulteta za management (UP FM)
Future job profile at smart factories
Andrej Jerman, Tine Bertoncel, Ivan Erenda, Anita Trnavčevič
Izvirni znanstveni članek
Oznake: Industry 4.0;smart factory;job profiles;
Leto: 2018 Vir: Repozitorij Univerze na Primorskem (RUP)
Generative artificial intelligence and the creative industries
Mitja Bervar, Tine Bertoncel, Mirjana Pejić Bach
Pregledni znanstveni članek
Oznake: artificial intelligence;creative industries;human–AI collaboration;creative labor;business ecosystems;value creation;
Generative artificial intelligence (GenAI) is increasingly transforming creative industries through its ability to generate high-quality content, raising critical questions about authorship, ownership, and the future of creative labor. This paper addresses these challenges by conducting a systematic ...
Leto: 2026 Vir: Fakulteta za management (UP FM)
Št. zadetkov: 14
Ključne besede:
Leto izdaje:
Avtorji:
Repozitorij:
Tipologija:
Jezik: