A Study of the Integrated Automated Emotion Music with the Motion Gesture Synthesis via ZigBee Wireless Communication by Chih-Fang Huang, Wei-Po Nien

“…The computer generative music can be integrated with other domains using proper mapping techniques, such as the intermedia arts with music technology. This paper mainly discusses the possibility of integrating both automatic composition and motion devices with an Emotional Identification System (EIS) using the emotion classification and parameters through wireless communication ZigBee. …”
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Health Musicking Technology by Kjetil Høyer Jonassen

“…The discussion includes reflections and critique concerning health-affordance, health musicking, and identity, and it argues for the benefits of using digital music technology with adolescents in mental health care. …”
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Acoustic detection of unknown bird species and individuals by Stavros Ntalampiras, Ilyas Potamitis

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The development trend of music art based on content analysis method by Jiao Pengcheng

“…This is followed by the pop music technology area, which has a combined development level of 91%. …”
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Microrheology with optical tweezers: data analysis by Manlio Tassieri, R M L Evans, Rebecca L Warren, Nicholas J Bailey, Jonathan M Cooper

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Computer music playback quality: digital audio reproduction versus synthesized sound by Ang, Minni Kim Huai, Wong, Sook Sian

“…The ability to distinguish synthesized sound from digital reproductions of original sound sources is tested through a set of listening tests conducted on music technology undergraduate students. Research findings indicate that certain synthesizers and soundcards are able to produce high quality synthesized sound that is perceived to be as good as the original instrument timbres.…”
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Audio recognition of Chinese traditional instruments based on machine learning by Rongfeng Li, Qin Zhang

“…Abstract This paper is part of a special issue on Music Technology. We study the type recognition of traditional Chinese musical instrument audio in the common way. …”
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Resources and Praxeologies Involved in Teachers’ Design of an Interdisciplinary STEAM Activity by Gabriella Pocalana, Ornella Robutti, Elena Ciartano

“…We adopted an approach based on a case study involving four teachers (art, music, technology, and mathematics/science teachers) designing an activity focused on the concept of symmetry. …”
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Detection and estimation of population density of bean weevils (Coleoptera: Bruchidae) in stored pulses via bioacoustic analysis by Eliopoulos, Panagiotis A., Potamitis, Ilyas

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Genres as Social Affect: Cultivating Moods and Emotions through Playlists on Spotify by Ignacio Siles, Andrés Segura-Castillo, Mónica Sancho, Ricardo Solís-Quesada

“…As material embodiments of cultivated affect, playlists offer a promise of identification and belonging to “intimate publics” formed by strangers through the specific bonds between music, technology, and affect they enact (as genres). Our analysis concludes with a discussion of the implications of our study for rethinking the relationship between technology, affect, and genre.…”
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The Electronic McPhail Trap by Ilyas Potamitis, Iraklis Rigakis, Konstantinos Fysarakis

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Edge Computing for Vision-Based, Urban-Insects Traps in the Context of Smart Cities by Ioannis Saradopoulos, Ilyas Potamitis, Stavros Ntalampiras, Antonios I. Konstantaras, Emmanuel N. Antonidakis

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Dynamic cluster structure and predictive modelling of music creation style distributions by Rajsuryan Singh, Eita Nakamura

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Accessing medieval music: from material codex to digital specimen by de la Flor, G, Jirotka, M, Meyer, E

Velody 2—Resilient High-Capacity MIDI Steganography for Organ and Harpsichord Music by Eric Järpe, Mattias Weckstén

“…The MIDI standard is a user-friendly music technology protocol that is frequently deployed by composers of different levels of ambition. …”
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In-Vivo Vibroacoustic Surveillance of Trees in the Context of the IoT by Ilyas Potamitis, Iraklis Rigakis, Nicolaos-Alexandros Tatlas, Stelios Potirakis

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An HMM-Based Approach for Cross-Harmonization of Jazz Standards by Maximos Kaliakatsos-Papakostas, Konstantinos Velenis, Leandros Pasias, Chrisoula Alexandraki, Emilios Cambouropoulos

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A Low-Cost, Low-Power, Multisensory Device and Multivariable Time Series Prediction for Beehive Health Monitoring by Iraklis Rigakis, Ilyas Potamitis, Nicolas-Alexander Tatlas, Giota Psirofonia, Efsevia Tzagaraki, Eleftherios Alissandrakis

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Automated Dysarthria Severity Classification: A Study on Acoustic Features and Deep Learning Techniques by Amlu Anna Joshy, Rajeev Rajan

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Stretching Method-Based Damage Detection Using Neural Networks by Emmanouil Daskalakis, Christos G. Panagiotopoulos, Chrysoula Tsogka

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