不再流行 发表于 2025-3-27 00:12:43
https://doi.org/10.1007/978-0-387-49333-6 behavior as it involves massive interactions and communications. Social Behavioral Biometrics is a very recently introduced research area that attempts to extract unique behavioral features from the social interactions of individuals, which are powerful enough to be used as biometric identifiers. T有害 发表于 2025-3-27 02:18:55
Richard H. Enns,George C. McGuireing IoT cloud societal applications such as smart driving or smart living applications or medical applications. In fact, the dataset relating to human emotions remains as a crucial pre-requisite for designing efficient machine learning algorithms or applications. The traditionally available datasetsdysphagia 发表于 2025-3-27 08:18:27
Richard H. Enns,George C. McGuireand so on has exceptionally increased. Named Entity Recognition (NER) is an initial step towards converting this unstructured data into structured data which can be used by a lot of applications. The existing methods on NER for Cyber Security data are based on rules and linguistic characteristics. A烧瓶 发表于 2025-3-27 12:46:42
https://doi.org/10.1007/978-0-387-49333-6t of its kind in depression detection using Audio Visual and Emotional Challenge 2011 (AVEC 2011) and Computational and Paralinguistics challenge 2016 (ComParE 2016) feature sets. A novel method of ensemble classification using simple machine learning algorithms of Instance-Based classifier with par纬线 发表于 2025-3-27 16:04:48
http://reply.papertrans.cn/15/1497/149690/149690_35.pngECG769 发表于 2025-3-27 19:06:56
https://doi.org/10.1007/978-0-387-49333-6iving system of transport vehicles. The model is built based on convolutional neural network. The German Traffic Sign Detection Benchmark (GTSDB), a standard open-source segmented image dataset with forty-three different signboard classes is considered for experimentation. Implementation of the systCLASH 发表于 2025-3-28 00:56:39
Richard H. Enns,George C. McGuireapplications. We introduce a novel audio database of isolated Gujarati digits in this work. This database contains recordings of digits spoken by 20 users from 5 different regions of Gujarat in practical environments. To the best of our knowledge, this is the first publicly available Gujarati spoken不可知论 发表于 2025-3-28 03:18:16
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http://reply.papertrans.cn/15/1497/149690/149690_39.pngLiberate 发表于 2025-3-28 11:48:20
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