印度尼西亚人工智能的研究发展和景观

Muhammad Alvin Noor Reza, E. A. Z. Hamidi, Ririn Herawati, E. Mulyana
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引用次数: 0

摘要

本研究旨在找出印尼人工智能研究的发展地图。一项研究的发展将与以前所做的研究相互关联。方法、基础设施、数据和其他因素的存在成为进行研究时的考虑因素。一项研究的成功离不开这些东西的存在。使用的方法是浏览Lens.org网站,关键词是人工智能、机器学习、深度学习、人工神经网络、卷积神经网络、自然语言处理、计算机视觉、反向传播和支持向量机。数据来源也来自使用Google表单平台进行的调查,其中调查结果的数据仍然是初步结果的形式。这两个来源的数据被导出并处理成几个部分,分别是出版物数量、出版物类型、最活跃的机构、开放获取出版物、被引用最多的出版物以及人工智能技术在生活方面的应用。发表最多的类别是支持向量机。被广泛宣传的出版物类型是期刊文章和会议记录。在每个领域发表论文最多的机构通常是电信大学、印度尼西亚大学、万隆理工学院和塞普卢11月理工学院。被引用最多的论文属于支持向量机范畴。基于这些数据,印尼的人工智能研究可以说发展迅速。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Research Development and Landscape Artificial Intelligence in Indonesia
This study aims to find out the map of the development of Artificial Intelligence Research in Indonesia. The development of a study will be interrelated with research that has been done before. The existence of methods, infrastructure, data and others become a consideration when conducting research. The success of a study is supported by the existence of these things. The method used is to browse through the Lens.org website with keywords Artificial Intelligence, Machine Learning, Deep Learning, Artificial Neural Network, Convolution Neural Network, Natural Language Processing, Computer Vision, Backpropagation, and Support Vector Machine. Data sources were also taken from surveys conducted using the Google form platform, where the data from the survey results are still in the form of preliminary results. Data from these two sources are exported and processed into several parts, namely the number of publications, the type of publication, the most active institutions, open access publications, the most publications cited and the application of artificial intelligence technology in life aspects. The most published category is Support Vector Machine. The types of publications that are widely publicized are journal articles and conference proceedings. Institutions that have the most publications in each field are generally Telkom University, University of Indonesia, Bandung Institute of Technology and Sepuluh November Institute of Technology. The most cited paper is in the support vector machine category. Based on these data, Artificial Intelligence Research in Indonesia can be said to have developed rapidly.
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