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TruMuzic: A Deep Learning and Data Provenance-Based Approach to Evaluating the Authenticity of Music
Publikováno v:
Applied Sciences, Vol 13, Iss 16, p 9425 (2023)
The digitalization of music has led to increased availability of music globally, and this spread has further raised the possibility of plagiarism. Numerous methods have been proposed to analyze the similarity between two pieces of music. However, the
Externí odkaz:
https://doaj.org/article/b6e140af1b1f4d79a9be2227a6f71828
Autor:
Mrs. K. Sridevi devi, kuldeep gurjar
Publikováno v:
THE RESEARCH RESERVOIR. 7:1-4
Infertility is a global health issue. It is not merely a health problem. It is also a matter of social injustice and inequality. Infertility affects relatively large number of couples at some point in their reproductive lives.
Autor:
Kuldeep Gurjar, Yang-Sae Moon
Publikováno v:
Journal of Information Processing Systems.
Due to the proliferation of data being exchanged and the increase of dependency on this data for critical decision-making, it has become imperative to ensure the trustworthiness of the data at the receiving end in order to obtain reliable results. Da