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Titlebook: Innovations in Smart Cities Applications Edition 3; The Proceedings of t Mohamed Ben Ahmed,Anouar Abdelhakim Boudhir,?smail Conference proc

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41#
發(fā)表于 2025-3-28 16:07:15 | 只看該作者
42#
發(fā)表于 2025-3-28 21:10:12 | 只看該作者
Anasse Hanafi,Lotfi Elaachak,Mohamed Bouhormaon, and a detailed review of the patient’s orthodontic records. This includes cephalometric radiographs, dental casts or dental scanning, and a series of intra-oral and extra-oral photographs. The orthodontic diagnosis relies heavily on the Edward Angle classification in which Class I indicates norm
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發(fā)表于 2025-3-29 00:29:52 | 只看該作者
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發(fā)表于 2025-3-29 04:08:21 | 只看該作者
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發(fā)表于 2025-3-29 09:10:53 | 只看該作者
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發(fā)表于 2025-3-29 14:18:19 | 只看該作者
Citizen Sentiment Analysis in Social Media Moroccan Dialect as Case Studys of urban infrastructure. Nowadays these citizens like to communicate using social media such as Facebook and Twitter, thus building a smart city is not free from these platforms that have changed citizen’s daily life and becoming a new source of real-time information. These data are named Big Data
47#
發(fā)表于 2025-3-29 18:21:03 | 只看該作者
Social Networks Fake Profiles Detection Using Machine Learning Algorithmsdentifying fake profiles in social media. The approaches to identifying fake profiles in social media can be classified into the approaches aimed on analysing profiles data and individual accounts. Social networks fake profile creation is considered to cause more harm than any other form of cyber cr
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發(fā)表于 2025-3-29 19:55:23 | 只看該作者
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發(fā)表于 2025-3-30 01:41:54 | 只看該作者
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發(fā)表于 2025-3-30 05:28:56 | 只看該作者
Machine Learning for Sentiment Analysis: A Surveynion concerning political, economic and social issues. The objective of sentiment classification is to classify opinions of users as positive, negative or neutral from textual information alone. For that, purpose researchers used data mining classification techniques such as na?ve Bayes classifier a
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