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Youngki Park and Youhyun Shin
The existing block-based machine learning educational environments have a drawback in that they do not support model training based on large-scale data. This makes it difficult for young students to learn the importance of large amounts of data when crea...
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Seojeong Yang, Yoonji Kim and Seungho Choi
This paper explores how the traditional incumbents coped with the rapid transition provoked by disruptive innovation in the South Korean retail industry. More specifically, the study concentrates on the challenges incumbents faced and their step-by-step ...
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Md. Oli-Uz-Zaman, Saleh Ahmad Khan, Geng Yuan, Zhiheng Liao, Jingyan Fu, Caiwen Ding, Yanzhi Wang and Jinhui Wang
When deep neural network (DNN) is extensively utilized for edge AI (Artificial Intelligence), for example, the Internet of things (IoT) and autonomous vehicles, it makes CMOS (Complementary Metal Oxide Semiconductor)-based conventional computers suffer f...
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Marie Bieber and Wim J. C. Verhagen
In recent years, there has been an enormous increase in the amount of research in the field of prognostics and predictive maintenance for mechanical and electrical systems. Most of the existing approaches are tailored to one specific system. They do not ...
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Ashish Bagwari, Anurag Sinha, N. K. Singh, Namit Garg and Jyotshana Kanti
Business-based decision support systems have been proposed for a few decades in the e-commerce and textile industries. However, these Decision Support Systems (DSS) have not been so productive in terms of business decision delivery. In our proposed model...
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