Business intelligence in the music industry
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Industry 4.0 vs. Industry 5.0 : Co-existence, Transition, or a Hybrid
Golovianko, Mariia; Terziyan, Vagan; Branytskyi, Vladyslav; Malyk, Diana (Elsevier, 2023)Smart manufacturing is being shaped nowadays by two different paradigms: Industry 4.0 proclaims transition to digitalization and automation of processes while emerging Industry 5.0 emphasizes human centricity. This turn ... -
Patented intelligence : cloning human decision models for Industry 4.0
Terziyan, Vagan; Gryshko, Svitlana; Golovianko, Mariia (Elsevier Ltd, 2018)Industry 4.0 is a trend related to smart factories, which are cyber-physical spaces populated and controlled by the collective intelligence for the autonomous and highly flexible manufacturing purposes. Artificial Intelligence ... -
Ethical User Stories : Industrial Study
Halme, Erika; Agbese, Mamia; Antikainen, Jani; Alanen, Hanna-Kaisa; Jantunen, Marianna; Khan, Arif Ali; Kemell, Kai-Kristian; Vakkuri, Ville; Abrahamsson, Pekka (2022)In Port terminals a progressive change is underway in digitalizing traditional systems to SMART systems with the aid of AI. This study follows one of such progressions, the SMARTER project. SMARTER is a sub research and ... -
Artificial General Intelligence vs. Industry 4.0 : Do They Need Each Other?
Kumpulainen, Samu; Terziyan, Vagan (Elsevier, 2022)Artificial Intelligence (AI) is known to be a driving force behind the Industry 4.0. Nowadays the current hype on development and industrial adoption of the AI systems is mostly associated with the deep learning, i.e., ... -
Explainable AI for Industry 4.0 : Semantic Representation of Deep Learning Models
Terziyan, Vagan; Vitko, Oleksandra (Elsevier, 2022)Artificial Intelligence is an important asset of Industry 4.0. Current discoveries within machine learning and particularly in deep learning enable qualitative change within the industrial processes, applications, systems ...
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