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Titlebook: Recent Advances in Information and Communication Technology 2021; Proceedings of the 1 Phayung Meesad,Dr. Sunantha Sodsee,Sakchai Tangwan C

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Herb Suggestion Model for Treat Disease by Symptoms Using Decision Tree Techniques,ymptoms in 8 groups of diseases or symptoms and used 38 attributes for filtering the diseases to generate a model. The attributes information related to the diagnosis of disease or symptoms are collected from the knowledge of the herbal medicine books and online medias for use as a learning and test
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Enhancing Forex Rates Prediction with Machine Learning on EUR to USD with Moving Average Methods anfactors (Dollar Index, the US Interest rate, Inflation rate, and Real Gross Domestic Product). Four FOREX datasets are FOREX, FOREX with factors, FOREX with MAs, and FOREX with factors and MAs to forecast FOREX rates. In the previous research, we used four factors and Simple Moving Average (SMA) alo
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Abusive Language and Hate Speech Detection for Indonesian-Local Language in Social Media Text,miliate individuals or groups on social media, such as Twitter. Various detection methods have been developed to control the spread of abusive language and hate speech in Indonesia, but the detection process is still focused on monolingual. As a country with various ethnicities and cultures, Indones
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English-Vietnamese Machine Translation Using Deep Learning,or translating text or speech from one language to another. Machine translators have replaced the word mechanism in one language for words in another with verbatim translations. However, a good translation should be employed a both a sentence and a word that have complete meaning in accordance with
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Automatically Retrieving of Software Specification Requirements Related to Each Actor,ge software requirements may be ambiguity. This can lead to poor design and performance of the final software product and can be time-consuming at the system analysis stage. Previous studies applied natural language processing (NLP) techniques to identify these ambiguities and reduce them to improve
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