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Nedim Karavdić

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Research Article Open Access Comparative Analysis of cVAE, cGAN, and LSTM Models for Music Generation Based on Weather Conditions
Nedim Karavdić, Bećir Isaković 
International Symposium on AI-Driven Engineering Systems Vol. 22 pp. 89–95 2026 https://doi.org/10.36287/setsci.22.11.001

Generative Artificial Intelligence is gaining popularity every day and uses contextual data to personalize and enhance user experiences. This paper explores music generation that is conditioned on weather. It influences musical compositions…

Research Contributions (2019+)Peer reviewed by at least two reviewers
Open AccessCC BY 4.0
Open Discovery Metadata · DOI · OAI-PMH
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