Zobrazeno 1 - 10
of 62
pro vyhledávání: '"Ilkyeun Ra"'
Publikováno v:
Journal of Low Power Electronics and Applications, Vol 14, Iss 1, p 6 (2024)
Smart lighting control systems represent an advanced approach to reducing energy use. These systems leverage advanced technology to provide users with better control over their lighting, allowing them to manually, remotely, and automatically modify t
Externí odkaz:
https://doaj.org/article/1e6c282f689a41809879c3011f38290a
Autor:
Abeer Abdel Khaleq, Ilkyeun Ra
Publikováno v:
IEEE Access, Vol 9, Pp 35464-35476 (2021)
Cloud applications are becoming more containerized in nature. Developing a cloud application based on a microservice architecture imposes different challenges including scalability at the container level. What adds to the challenge is that cloud appl
Externí odkaz:
https://doaj.org/article/3cc91345150b4b6586e7c34cc4b8d89d
Autor:
Abeer Abdel Khaleq, Ilkyeun Ra
Publikováno v:
Cluster Computing.
Autor:
Keon Myung Lee, Ilkyeun Ra
Publikováno v:
Information Technology and Management. 21:191-204
Data are collected and regarded as valuable assets in many business domains. Their owner would not want to disclose them to the public due to their potential value. Distributed knowledge discovery techniques have been proposed which assume the cooper
Autor:
Abeer Abdel Khaleq, Ilkyeun Ra
Publikováno v:
ACSOS-C
Microservices play an essential role in cloud application scalability. When demand increases on a microservice-based application, the microservices need to be scaled to sustain the demand without degrading the application performance. At the same tim
Autor:
Abeer Abdel Khaleq, Ilkyeun Ra
Publikováno v:
2019 International Conference on Computational Science and Computational Intelligence (CSCI).
Cloud applications are becoming more containerized in nature. Developing a cloud application based on a microservice architecture imposes different challenges including scalability at the container level. What adds to the challenge is that applicatio
Publikováno v:
Advanced Science Letters. 23:12769-12774
Publikováno v:
International Journal of Control and Automation. 10:345-356
Publikováno v:
ICTC
This paper proposes a deep multimodal reinforcement learning policy combining convolutional neural network (CNN) and long short-term memory (LSTM) neural network for stock price prediction. The proposed machine learning system generates various chart
Publikováno v:
International Journal of Multimedia and Ubiquitous Engineering. 10:61-66
As times become increasingly digitized and the importance of IoT_(Internet of Things) technology still growing, the number of IP-based IoT devices is also sharply increasing. This has the advantage of improving the quality of life because by increasi