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1دورية أكاديمية
المؤلفون: Hille Pajupuu, Rene Altrov, Jaan Pajupuu
المصدر: Eesti Rakenduslingvistika Ühingu Aastaraamat, Vol 20, Pp 181-197 (2024)
مصطلحات موضوعية: radio commercials, speaking styles, voice likability, speech perception, acoustic features, gemaps, Philology. Linguistics, P1-1091, Finnic. Baltic-Finnic, PH91-98.5
وصف الملف: electronic resource
العلاقة: http://arhiiv.rakenduslingvistika.ee/ajakirjad/index.php/aastaraamat/article/view/ERYa20.11Test; https://doaj.org/toc/1736-2563Test; https://doaj.org/toc/2228-0677Test
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2دورية أكاديمية
المؤلفون: Lingyun Xie, Yuehong Wang, Yan Gao
المصدر: EURASIP Journal on Audio, Speech, and Music Processing, Vol 2024, Iss 1, Pp 1-13 (2024)
مصطلحات موضوعية: Chinese traditional music, Aesthetic, Machine learning, Acoustic features, Feature selection, Acoustics. Sound, QC221-246, Electronic computers. Computer science, QA75.5-76.95
وصف الملف: electronic resource
العلاقة: https://doaj.org/toc/1687-4722Test
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3دورية أكاديمية
المصدر: Poultry Science, Vol 103, Iss 6, Pp 103711- (2024)
مصطلحات موضوعية: duckling, sex identification, acoustic features, deep learning, animal welfare, Animal culture, SF1-1100
وصف الملف: electronic resource
العلاقة: http://www.sciencedirect.com/science/article/pii/S003257912400292XTest; https://doaj.org/toc/0032-5791Test
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4دورية أكاديمية
المؤلفون: Casalino Gabriella, Castellano Giovanna, Hryniewicz Olgierd, Leite Daniel, Opara Karol, Radziszewska Weronika, Kaczmarek-Majer Katarzyna
المصدر: International Journal of Applied Mathematics and Computer Science, Vol 33, Iss 3, Pp 419-428 (2023)
مصطلحات موضوعية: semi-supervised learning, mental health monitoring, acoustic features, pattern recognition, ai in medicine, Mathematics, QA1-939, Electronic computers. Computer science, QA75.5-76.95
وصف الملف: electronic resource
العلاقة: https://doaj.org/toc/2083-8492Test
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5دورية أكاديمية
المؤلفون: Takeyuki Haraguchi, Takahiro Emoto
المصدر: Sensors, Vol 24, Iss 10, p 3054 (2024)
مصطلحات موضوعية: bowel sound, BS-based stimulus–response curve, BS-time-domain acoustic features, BS-based stimulus–response plots, Chemical technology, TP1-1185
وصف الملف: electronic resource
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6دورية أكاديمية
المؤلفون: Arkin Gulnur, Wu Shengyi
المصدر: Applied Mathematics and Nonlinear Sciences, Vol 9, Iss 1 (2024)
مصطلحات موضوعية: intermediate level learners, pronunciation quality, mandarin, acoustic features, computer assisted language learning system, 068t50, Mathematics, QA1-939
وصف الملف: electronic resource
العلاقة: https://doaj.org/toc/2444-8656Test
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7دورية أكاديمية
المؤلفون: Alkhatib, Mohammed I.I., Talei, Amin, Chang, Tak Kwin, Hermawan, Andreas Aditya, Pauwels, Valentijn R.N.
المصدر: Alkhatib , M I I , Talei , A , Chang , T K , Hermawan , A A & Pauwels , V R N 2024 , ' Towards the development of a citizens’ science-based acoustic rainfall sensing system ' , Journal of Hydrology , vol. 633 , 130973 . https://doi.org/10.1016/j.jhydrol.2024.130973Test
مصطلحات موضوعية: Acoustic features, Machine learning techniques, Rainfall sensing, Urban soundscape
وصف الملف: application/pdf
الإتاحة: https://doi.org/10.1016/j.jhydrol.2024.130973Test
https://research.monash.edu/en/publications/92691ec0-e510-4b09-93b8-feb78ce91695Test
https://researchmgt.monash.edu/ws/files/599301551/578886806.pdfTest
http://www.scopus.com/inward/record.url?scp=85186376270&partnerID=8YFLogxKTest -
8دورية أكاديمية
المؤلفون: Rui Wang, Mengru Wang, Georgi V. Georgiev
المصدر: Frontiers in Human Neuroscience, Vol 17 (2023)
مصطلحات موضوعية: interrogative words, mismatch negativity, intonation, Mandarin tone, language lexical semantic function, acoustic features, Neurosciences. Biological psychiatry. Neuropsychiatry, RC321-571
وصف الملف: electronic resource
العلاقة: https://www.frontiersin.org/articles/10.3389/fnhum.2023.1326602/fullTest; https://doaj.org/toc/1662-5161Test
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9
المؤلفون: Zhirnov, Ivan, Panahi, Negar, Åsberg, Mikael, Krakhmalev, Pavel, Professor, 1973
المصدر: Procedia CIRP. 111:363-367
مصطلحات موضوعية: acoustic features, data-centric, laser powder bed fusion, machine learning, material properties, monitoring, smart data, spattering, tool steel, Acoustic waves, Data acquisition, Data handling, Deep learning, Information analysis, Signal processing, Stochastic systems, Surface roughness, Acoustic monitoring, Acoustic signals, Data centric, Laser powders, Machine-learning, Powder bed, SMART datum, Maskinteknik, Mechanical Engineering, Materialteknik, Materials Engineering
وصف الملف: electronic
الوصول الحر: https://urn.kb.se/resolve?urn=urn:nbn:se:kau:diva-92582Test
https://doi.org/10.1016/j.procir.2022.08.167Test
https://kau.diva-portal.org/smash/get/diva2:1714738/FULLTEXT01.pdfTest -
10دورية أكاديمية
المؤلفون: H. Y. Swathi, G. Shivakumar
المصدر: Mathematical Biosciences and Engineering, Vol 20, Iss 7, Pp 12529-12561 (2023)
مصطلحات موضوعية: multi-modal crowd analysis, deep-spatio-temporal features, acoustic features, ensemble learning, audio-visual crowd classification, Biotechnology, TP248.13-248.65, Mathematics, QA1-939
وصف الملف: electronic resource
العلاقة: https://doaj.org/toc/1551-0018Test