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1دورية 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 -
2دورية 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 -
3دورية 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 -
4دورية 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 -
5صورة
المؤلفون: Yi Tang, Chenshu Liu, Xiang Yuan
مصطلحات موضوعية: Ecology, Science Policy, Biological Sciences not elsewhere classified, Information Systems not elsewhere classified, utilizes sound data, extreme gradient boosting, certhia familiaris <, certhia brachydactyla <, certhia americana <, best performance among, acoustic complexity index, div >< p, bi ), median, bird species recognition, bird species, acoustic indices, acoustic features, wildlife conservation, three models, svm ), results showed, random forest, new approach, ndsi ), highest auc, highest accuracy, effective tool, crucial aspect, calculated including
الإتاحة: https://doi.org/10.1371/journal.pone.0297988.g001Test
https://figshare.com/articles/figure/Data_flow_diagram_for_recognition_of_bird_species_with_birdsong_records_/25281257Test -
6
المؤلفون: Yi Tang, Chenshu Liu, Xiang Yuan
مصطلحات موضوعية: Ecology, Science Policy, Biological Sciences not elsewhere classified, Information Systems not elsewhere classified, utilizes sound data, extreme gradient boosting, certhia familiaris <, certhia brachydactyla <, certhia americana <, best performance among, acoustic complexity index, div >< p, bi ), median, bird species recognition, bird species, acoustic indices, acoustic features, wildlife conservation, three models, svm ), results showed, random forest, new approach, ndsi ), highest auc, highest accuracy, effective tool, crucial aspect, calculated including
العلاقة: https://figshare.com/articles/dataset/The_meaning_of_acoustic_indices_in_this_study_/25281263Test
الإتاحة: https://doi.org/10.1371/journal.pone.0297988.t001Test
https://figshare.com/articles/dataset/The_meaning_of_acoustic_indices_in_this_study_/25281263Test -
7صورة
المؤلفون: Yi Tang, Chenshu Liu, Xiang Yuan
مصطلحات موضوعية: Ecology, Science Policy, Biological Sciences not elsewhere classified, Information Systems not elsewhere classified, utilizes sound data, extreme gradient boosting, certhia familiaris <, certhia brachydactyla <, certhia americana <, best performance among, acoustic complexity index, div >< p, bi ), median, bird species recognition, bird species, acoustic indices, acoustic features, wildlife conservation, three models, svm ), results showed, random forest, new approach, ndsi ), highest auc, highest accuracy, effective tool, crucial aspect, calculated including
الإتاحة: https://doi.org/10.1371/journal.pone.0297988.g002Test
https://figshare.com/articles/figure/The_violin_plots_of_acoustic_indices_grouped_by_species_/25281260Test -
8
المؤلفون: Yi Tang, Chenshu Liu, Xiang Yuan
مصطلحات موضوعية: Ecology, Science Policy, Biological Sciences not elsewhere classified, Information Systems not elsewhere classified, utilizes sound data, extreme gradient boosting, certhia familiaris <, certhia brachydactyla <, certhia americana <, best performance among, acoustic complexity index, div >< p, bi ), median, bird species recognition, bird species, acoustic indices, acoustic features, wildlife conservation, three models, svm ), results showed, random forest, new approach, ndsi ), highest auc, highest accuracy, effective tool, crucial aspect, calculated including
الإتاحة: https://doi.org/10.1371/journal.pone.0297988.t002Test
https://figshare.com/articles/dataset/The_performace_of_machine_learning_models_Mean_SD_/25281266Test -
9صورة
المؤلفون: Buyu Wang, Jingwei Qi, Xiaoping An, Yuan Wang
مصطلحات موضوعية: Physiology, Biotechnology, Space Science, Biological Sciences not elsewhere classified, Information Systems not elsewhere classified, thermal source images, support vector machine, source signal signature, sound source signals, robust feature representation, sound source features, deep physiological features, feature fusion method, recognizing porcine cough, porcine cough recognition, porcine cough plays, acoustic source segment, two heterogeneous features, biological features extracted, proposed fusion approach, porcine cough, acoustic features, heterogeneous fusion, vital role, various domains, validation algorithm, thereby establishing, rigorous experimentation, representative multi, named thermographicnet
الإتاحة: https://doi.org/10.1371/journal.pone.0297655.g002Test
https://figshare.com/articles/figure/Multimodal_data_acquisition_system_based_on_cloud-edge-end_architecture_/25128094Test -
10صورة
المؤلفون: Buyu Wang, Jingwei Qi, Xiaoping An, Yuan Wang
مصطلحات موضوعية: Physiology, Biotechnology, Space Science, Biological Sciences not elsewhere classified, Information Systems not elsewhere classified, thermal source images, support vector machine, source signal signature, sound source signals, robust feature representation, sound source features, deep physiological features, feature fusion method, recognizing porcine cough, porcine cough recognition, porcine cough plays, acoustic source segment, two heterogeneous features, biological features extracted, proposed fusion approach, porcine cough, acoustic features, heterogeneous fusion, vital role, various domains, validation algorithm, thereby establishing, rigorous experimentation, representative multi, named thermographicnet
الإتاحة: https://doi.org/10.1371/journal.pone.0297655.g003Test
https://figshare.com/articles/figure/The_data_distribution_graph_/25128097Test