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Titlebook: Internet of Things and Connected Technologies; Conference Proceedin Rajiv Misra,Nishtha Kesswani,Ashok Patel Conference proceedings 2021 Th

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41#
發(fā)表于 2025-3-28 17:18:26 | 只看該作者
42#
發(fā)表于 2025-3-28 20:50:58 | 只看該作者
Animesh Chandra Roy,Mohammad Shamsul Arefiner than the ability to pay’. But while Scotland’s system of free tuition distinguishes it from the rest of the UK, students must still fund their living costs and most do so through a combination of parental contributions, student loans, bursaries and part-time work. This chapter explores the ways i
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發(fā)表于 2025-3-29 00:58:49 | 只看該作者
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發(fā)表于 2025-3-29 06:14:06 | 只看該作者
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發(fā)表于 2025-3-29 17:04:25 | 只看該作者
Data Mining Techniques in IoT Knowledge Discovery: A Survey,sion, model visualization, and summarization techniques were considered as challenging tasks due to the nature of IoT settings. This in turn demanded a new direction of research so as to come up with enhanced service provision in the area of IoT. Overlooked data mining techniques and comparison of t
48#
發(fā)表于 2025-3-29 23:15:10 | 只看該作者
Literature Review on Answer Processing in Community Question Answering System,ng answers. These shortcomings are resolved by already proposed work but they lack generalization ability and their performance is not satisfying. Feature extraction based methods mostly involve manual featurization which are not generalized form, therefore it can be avoided by deep learned feature.
49#
發(fā)表于 2025-3-30 01:20:52 | 只看該作者
Shallow over Deep Neural Networks: A Empirical Analysis for Human Emotion Classification Using AudiEmotional Speech and Song” (RAVDESS). We propose a novel approach for emotion classification of audio conversations based on speech signals. Acoustic properties based emotion classification is independent of any spoken language and it can be used for cross-language emotion classification. The aim of
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發(fā)表于 2025-3-30 05:06:54 | 只看該作者
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