BOYUTSAL AÇIDAN MÜZİK - DYNAMIC OVERHEAD MUSIC by Mustafa Kabataş

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THE CONFLUENCE OF SCIENCE AND ARTISTIC INSPIRATION IN GYÖRGY LIGETI’S MUSICAL THINKING by Attila FODOR

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A comparative study of EEG microstate dynamics during happy and sad music videos by Ashish Gupta, Chandan Kumar Srivastava, Braj Bhushan, Laxmidhar Behera, Laxmidhar Behera

“…EEG microstates offer a unique window into the dynamics of emotional experiences. This study delved into the emotional responses of happiness and sadness triggered by music videos, employing microstate analysis and eLoreta source-level investigation in the alpha band. …”
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Optimization of Music Feature Recognition System for Internet of Things Environment Based on Dynamic Time Regularization Algorithm by Hong Kai

“…The music feature analysis module of the application layer uses a dynamic time regularization algorithm to obtain the maximum similarity between the test template and the reference. …”
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A big data dynamic approach for adaptive music instruction with deep neural fuzzy logic control by Dong Li, Zhenfang Liu

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Music and Gesture—New Perspectives in Conducting and in Education by Riccardo Lombardo

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MUSICAL EDUCATION VERSUS MAN OF CONTEMPORARY SOCIETY by Stela GUŢANU

“…Along with the other forms of art, music contributes to the society’s cultural continuity and stability. …”
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Evolution of sample-based music authorship network by Dongju Park, Juyong Park

“…One can then ask how this process has taken place in history and shaped the history of contemporary popular music, which we study in this work. We specifically study the evolution of sample-based music between the years 1980 and 2019, taking cue from the citation network analysis of academic literature that intuitively follows a similar dynamic of the flow of ideas and material from the old works into new ones. …”
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Music Emotion Research Based on Reinforcement Learning and Multimodal Information by Yue Hu

“…In this paper, a multimodal fusion algorithm for music emotion analysis is proposed, and a dynamic model based on reinforcement learning is constructed to improve the analysis accuracy. …”
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Analysis on the Application of Internet Multimedia Technology in College Music Education by Lili Cong

“…In order to improve the effect of college music teaching, this paper combines Internet multimedia technology to construct a college music intelligent teaching system and uses the DASH multihypothesis framework to improve the transmission effect of Internet multimedia. …”
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Using Factor Decomposition Machine Learning Method to Music Recommendation by Dapeng Sun

“…And the recommended music is indeed feasible and practical.…”
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Construction and Application of Music Audio Database Based on Collaborative Filtering Algorithm by Jianfei Zheng

“…In recent years, with the development of Big Data and dynamic modeling technology, people have gradually deepened the research on the efficient construction of music audio database. …”
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Beyond the Trends: Evolution and Future Directions in Music Recommender Systems Research by Babak Amiri, Nikan Shahverdi, Amirali Haddadi, Yalda Ghahremani

“…The study of Music Recommender Systems (MRS) has become crucial in digital music consumption, influencing how people discover and interact with music. …”
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‘Subtle Instrument of Music’: Translating the Sound and Appearance of Decadence in Wilde’s Salomé by Erin Dunbar

“…Wilde called the play his ‘first venture to use for art that subtle instrument of music, the French tongue’ (Hart-Davis 331). Its initial performance in England was prohibited and it was not produced on stage until 1896; even then, it opened in Paris and not London. …”
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Quantitative Influence Analysis of the Development Scale of Market Economy on the Level of Music Innovation by Yang Li, Qiuyi Zhang, Tianzhuo Gong

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Music Recommendation Algorithm Based on Multidimensional Time-Series Model Analysis by Juanjuan Shi

“…Then, a music recommendation method is proposed, which integrates the long-term, medium-term, and real-time behaviors of users and considers the dynamic adjustment of the influence weight of the three behaviors so as to further improve the effect of music recommendation by adopting the advanced long short time memory (LSTM) technology. …”
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Music Segmentation Algorithm Based on Self-Adaptive Update of Confidence Measure by Jianhua Li

“…The dynamic threshold notes are segmented according to the update result to realize music segmentation. …”
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AESTHETIC TRENDS AND DEVELOPMENTS IN BESSARABIAN OPERA MUSIC OF 20th CENTURY by Luminiţa GUŢANU

“…Essentially, opera in Bessarabia presents the attributes of a heterogeneous, mixed language, integrating the traditional resources of Romanian folklore into the dynamic reality of European music aesthetics, but also retaining important influences from the Russian epic opera music (M. …”
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Deep gradient reinforcement learning for music improvisation in cloud computing framework by Fadwa Alrowais, Munya A. Arasi, Saud S. Alotaibi, Mohammed Alonazi, Radwa Marzouk, Ahmed S. Salama

“…The difficulty of writing dynamic, flexible musical compositions in real time is discussed in this article. …”
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Reframing the filter bubble through diverse scale effects in online music consumption by Dougal Shakespeare, Victor Chareyron, Camille Roth

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