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pro vyhledávání: '"Jeeyung Kim"'
Autor:
Jeeyung Kim, Sangjae Bae
Publikováno v:
2020 IEEE Power & Energy Society General Meeting (PESGM).
The Electric Vehicle has became viable option not only for individual drivers but also for the industries or government-affiliated organizations who own fleet vehicles. Before replacement of vehicles, construction of electric vehicle supply equipment
Publikováno v:
SNTA@HPDC
Machine Learning (ML) methods have been widely used in Intrusion Detection Systems (IDS). In particular, many botnet detection methods are based on ML. However, due to the fast-evolving nature of network security threats, it is necessary to frequentl
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::9bef52bb8e1697c901ed50720f34c4b1
https://escholarship.org/uc/item/2tt7m1f7
https://escholarship.org/uc/item/2tt7m1f7
Publikováno v:
GLOBECOM
Botnet detection is an active research topic as botnets are a source of many malicious activities, including distributed denial-of-service (DDoS), click-fraud, spamming, and crypto-mining attacks. However, it is getting more complicated to identify b
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::8c16dfae3bc008c9057e10ee695b05c0
http://arxiv.org/abs/2004.00234
http://arxiv.org/abs/2004.00234
Autor:
Jeeyung Kim
Publikováno v:
IEEE BigData
The factors impacting on what users purchase can be classified as an internal factor which is time-invariant user’s unique taste and an external factor which is time-varying item characteristic. However, the current recommendation system has a limi
Publikováno v:
AAAI
In automated material handling systems (AMHS), delivery time is an important issue directly associated with the production cost and the quality of the product. In this paper, we propose a dynamic routing strategy to shorten delivery time and delay. W