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Titlebook: Data Science and Artificial Intelligence; Second International Chutiporn Anutariya,Marcello M. Bonsangue,Opim Sal Conference proceedings 20

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樓主: eternal
41#
發(fā)表于 2025-3-28 17:19:09 | 只看該作者
42#
發(fā)表于 2025-3-28 22:40:58 | 只看該作者
43#
發(fā)表于 2025-3-28 23:12:10 | 只看該作者
The Impact of?AI Avatar Appearance and?Disclosure on?User Motivationch, we explore how AI disclosure and AI avatar gender affect user motivation. We conducted a game-based experiment involving over 72,500 participants who solved search problems alone or with an AI companion. Different groups experienced varying AI appearances and disclosures, observing the differenc
44#
發(fā)表于 2025-3-29 04:16:53 | 只看該作者
Cost Sensitive Ensemble Learning Framework for EEG- Based Emotion Recognitionrediction errors/ misclassifications made in the form of costs. Varying consequences of misclassification costs are often overlooked in existing research that uses standard metrics such as prediction accuracy leading to suboptimal performances in real-world settings. This paper emphasizes the need o
45#
發(fā)表于 2025-3-29 09:09:11 | 只看該作者
46#
發(fā)表于 2025-3-29 12:08:59 | 只看該作者
47#
發(fā)表于 2025-3-29 18:54:04 | 只看該作者
Enhancing Automotive Products with?TinyML and?MEMS Sensors: A?Preliminary Approachmicrocontrollers. Despite major challenges related to hardware constraints, TinyML has been expanding the scope of applications in several domains, with the automotive industry taking special interest in these models for their potential to enhance existing Advanced Driver Assistance Systems (ADAS).
48#
發(fā)表于 2025-3-29 20:04:19 | 只看該作者
https://doi.org/10.1007/978-981-97-9793-6Foundations of Data Science and Artificial Intelligence; Data Mining; Machine Learning; Deep Learning; I
49#
發(fā)表于 2025-3-30 02:00:04 | 只看該作者
978-981-97-9792-9The Editor(s) (if applicable) and The Author(s), under exclusive license to Springer Nature Singapor
50#
發(fā)表于 2025-3-30 06:15:53 | 只看該作者
Communications in Computer and Information Sciencehttp://image.papertrans.cn/e/image/284450.jpg
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