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Titlebook: Advances in Intelligent Informatics, Smart Technology and Natural Language Processing; Selected Revised Pap Thanaruk Theeramunkong,Rachada

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发表于 2025-3-21 17:30:57 | 显示全部楼层 |阅读模式
期刊全称Advances in Intelligent Informatics, Smart Technology and Natural Language Processing
期刊简称Selected Revised Pap
影响因子2023Thanaruk Theeramunkong,Rachada Kongkachandra,Kiyot
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发行地址Presents recent research on natural language, intelligent informatics, and smart systems technology.Includes the proceedings of the Joint International Symposium on Artificial Intelligence and Natural
学科分类Advances in Intelligent Systems and Computing
图书封面Titlebook: Advances in Intelligent Informatics, Smart Technology and Natural Language Processing; Selected Revised Pap Thanaruk Theeramunkong,Rachada
影响因子.This book constitutes the refereed proceedings of the 13th Joint International Symposium on Artificial Intelligence and Natural Language Processing, iSAI-NLP2017, held in Prachuap Khiri Khan, Thailand, in August 2017, and the 10th International Conference on Knowledge, Information and Creativity Support Systems, KICSS2015, held in Phuket, Thailand, in November 2015. It presents 22 carefully reviewed full papers on the following topics: artificial intelligence; machine learning; decision support systems; data mining; data analysis; natural language processing; multilingual processing; language and ontology unification; text classification; knowledge-based information systems; tracking systems; virtual reality; pattern recognition and image processing; signal classification; object detection and recognition; real-time sensor network; cloud-based services; and information security..
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P. J. J. Tromp,F. Kapteijn,J. A. Moulijnther seven foreign languages: English and Italian; Spanish and Chinese; German and Japanese, with French, this contains 1,654 parallel lexical entries together with the illustrations and recorded voices. All nodes were attached and retained in the designed tree structure with fourteen categories and
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Upgrading of Coal-Derived Liquids4) knowledge management, (5) reasoning capabilities, and (6) compute power. Improvement along these dimensions will make adoption of service robots with advanced capabilities much more widespread. We propose the use of real time cloud computation as one means to enable these improvements. This paper
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https://doi.org/10.1007/978-3-319-95846-0the initial State of CNN as the encryption key, which generates five-dimensional chaotic sequence. Then the image pixel values were changed by performing XOR operation between the original image pixel values and the modified chaotic sequence. Finally, the pixel positions were changed using a constru
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Rama Devi Nandineni,Shanta Pragyan Dashes named-entity from other word types. Previous Thai NER system heavily depends on human’s knowledge in a form of feature selection and external resources such as dictionaries. A recent trend in NER research shows that deep learning approach can be used to train high-quality NER system without resor
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Praveena Rajkobal,Handun Athukorala’ ECG measurement, which are Normal Sinus Rhythm (NSR), Atrial Fibrillation (AF) and Congestive Heart Failure (CHF). This feature has been previously employed to measure the healthiness in persons via their ECG recordings. The algorithm was designed and implemented to extract the Hjorth features and
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