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1دورية 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 -
2دورية أكاديمية
المؤلفون: КИСЛЯК, Богдан
المصدر: Fine Art and Culture Studies; No. 1 (2024): Fine Art and Culture Studies; 22-28 ; Fine Art and Culture Studies; № 1 (2024): Fine Art and Culture Studies; 22-28 ; 2786-5436 ; 2786-5428 ; 10.32782/facs-2024-1
مصطلحات موضوعية: сонорний параметр, баянно-акордеонна музика, інструментально-тембровий проєкт, сучасна музика, тембр, акустичні особливості, електронні технології, sonorous parameter, instrumental-timbral project, contemporary music, timbre, acoustic features, electronic technologies
وصف الملف: application/pdf
العلاقة: http://journals.vnu.volyn.ua/index.php/art/article/view/1577/1470Test; http://journals.vnu.volyn.ua/index.php/art/article/view/1577Test
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3مؤتمر
المؤلفون: Piernicki, Tomasz, Korvel, Gražina, Kostek, Bozena
المصدر: DAMSS: 14th conference on data analysis methods for software systems, Druskininkai, Lithuania, November 30 - December 2, 2023., Vilnius : Vilniaus universiteto leidykla, 2023, p. 70. ; eISBN 9786090709856
مصطلحات موضوعية: dysarthric speech, synthetic speech, acoustic features
وصف الملف: application/pdf
العلاقة: https://epublications.vu.lt/object/elaba:184261172/184261172.pdfTest; https://repository.vu.lt/VU:ELABAPDB184261172&prefLang=en_USTest
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4دورية أكاديمية
المؤلفون: Ryota Togai, Takashi Tsunakawa, Masafumi Nishida, Masafumi Nishimura
المصدر: International Journal of Artificial Intelligence (IJ-AI) 12(1) 12-22
مصطلحات موضوعية: Chat dialog system, Information-gathering dialog system, Nonverbal acoustic features, Talking motivation, Topic induction
العلاقة: https://zenodo.org/record/7320889Test; https://doi.org/10.11591/ijai.v12.i1.pp12-22Test; oai:zenodo.org:7320889
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5دورية أكاديمية
المؤلفون: Mohammad Ali Humayun, Hayati Yassin, Pg Emeroylariffion Abas
المصدر: International Journal of Artificial Intelligence (IJ-AI) 12(2) 739-746
مصطلحات موضوعية: Acoustic features, Arabic language, Dialect identification, Linguistic features, Spontaneous speech
العلاقة: https://zenodo.org/record/7455768Test; https://doi.org/10.11591/ijai.v12.i2.pp739-746Test; oai:zenodo.org:7455768
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6دورية أكاديمية
المؤلفون: Scimeca S., Amato F., Olmo G., Asci F., Suppa A., Costantini G., Saggio G.
المساهمون: Scimeca, S, Amato, F, Olmo, G, Asci, F, Suppa, A, Costantini, G, Saggio, G
مصطلحات موضوعية: acoustic features, machine learning, Parkinson's disease, speech analysis, statistical analysis, Settore ING-INF/01 - ELETTRONICA
العلاقة: info:eu-repo/semantics/altIdentifier/pmid/37384279; info:eu-repo/semantics/altIdentifier/wos/WOS:001016965100001; volume:14; journal:FRONTIERS IN NEUROLOGY; https://hdl.handle.net/2108/331203Test; info:eu-repo/semantics/altIdentifier/scopus/2-s2.0-85164007977
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7دورية أكاديمية
المؤلفون: Vjosa Preniqi, Kyriaki Kalimeri, Charalampos Saitis
مصطلحات موضوعية: Neuroscience, Sociology, Science Policy, Space Science, Environmental Sciences not elsewhere classified, Biological Sciences not elsewhere classified, top 5 songs, song 8217, meet individual needs, machine learning approach, facebook page likes, used basic features, acoustic features separately,
+music%22">xlink "> music, linking music preferences, participants 8217, likes per user, level audio features, audio features boosted, predicting moral values, capturing moral values, lyrics features obtained, preferred music artists, higher prediction scores, audio p, audio features, moral values, textual features, music rehabilitation, music experience الإتاحة: https://doi.org/10.1371/journal.pone.0294402.s002Test
https://figshare.com/articles/journal_contribution/Summary_of_experimental_designs_built_for_regression_models_with_type_and_number_of_independent_features_for_each_model_/24661163Test -
8دورية أكاديمية
المؤلفون: Vjosa Preniqi, Kyriaki Kalimeri, Charalampos Saitis
مصطلحات موضوعية: Neuroscience, Sociology, Science Policy, Space Science, Environmental Sciences not elsewhere classified, Biological Sciences not elsewhere classified, top 5 songs, song 8217, meet individual needs, machine learning approach, facebook page likes, used basic features, acoustic features separately,
+music%22">xlink "> music, linking music preferences, participants 8217, likes per user, level audio features, audio features boosted, predicting moral values, capturing moral values, lyrics features obtained, preferred music artists, higher prediction scores, audio p, audio features, moral values, textual features, music rehabilitation, music experience الإتاحة: https://doi.org/10.1371/journal.pone.0294402.s001Test
https://figshare.com/articles/journal_contribution/Demographic_breakdown_of_our_data_according_to_gender_and_age_/24661160Test -
9دورية أكاديمية
المؤلفون: Vjosa Preniqi, Kyriaki Kalimeri, Charalampos Saitis
مصطلحات موضوعية: Neuroscience, Sociology, Science Policy, Space Science, Environmental Sciences not elsewhere classified, Biological Sciences not elsewhere classified, top 5 songs, song 8217, meet individual needs, machine learning approach, facebook page likes, used basic features, acoustic features separately,
+music%22">xlink "> music, linking music preferences, participants 8217, likes per user, level audio features, audio features boosted, predicting moral values, capturing moral values, lyrics features obtained, preferred music artists, higher prediction scores, audio p, audio features, moral values, textual features, music rehabilitation, music experience الإتاحة: https://doi.org/10.1371/journal.pone.0294402.s004Test
https://figshare.com/articles/journal_contribution/Model_significance_ANOVA_between_all_and_best_feature_models_/24661172Test -
10دورية أكاديمية
المؤلفون: Vjosa Preniqi, Kyriaki Kalimeri, Charalampos Saitis
مصطلحات موضوعية: Neuroscience, Sociology, Science Policy, Space Science, Environmental Sciences not elsewhere classified, Biological Sciences not elsewhere classified, top 5 songs, song 8217, meet individual needs, machine learning approach, facebook page likes, used basic features, acoustic features separately,
+music%22">xlink "> music, linking music preferences, participants 8217, likes per user, level audio features, audio features boosted, predicting moral values, capturing moral values, lyrics features obtained, preferred music artists, higher prediction scores, audio p, audio features, moral values, textual features, music rehabilitation, music experience العلاقة: https://figshare.com/articles/journal_contribution/Complete_classification_results_/24661166Test
الإتاحة: https://doi.org/10.1371/journal.pone.0294402.s003Test
https://figshare.com/articles/journal_contribution/Complete_classification_results_/24661166Test