Zobrazeno 1 - 10
of 291
pro vyhledávání: '"Jun-Ho Huh"'
Publikováno v:
IEEE Access, Vol 12, Pp 91780-91792 (2024)
Coffee, the second-largest global soft commodity, can take advantage of a comprehensive mining of daily and historical market data for more effective informed trading decisions. Advanced ICT and data mining technologies can change the trading market
Externí odkaz:
https://doaj.org/article/f0a1742222184ebfa79abc66ef289f54
Publikováno v:
IEEE Access, Vol 12, Pp 87838-87849 (2024)
Massive jellyfish outbreaks have put human lives and marine ecosystems in great danger. As a result, the jellyfish detection methods have drawn a lot of attention, following two directions optical and sonar imaging. This work focuses on using optical
Externí odkaz:
https://doaj.org/article/8beb4210157a40e38773c6d09deb492d
Publikováno v:
IEEE Access, Vol 12, Pp 53838-53854 (2024)
This paper minimizes fake news, which has been a hot topic recently, using blockchain and artificial intelligence technology, and verifies it with blockchain. Also, using Artificial Intelligence technology, we want to create an algorithm that predict
Externí odkaz:
https://doaj.org/article/7f0fb0fe092047a2b19d24a7d6a2bff5
Publikováno v:
IEEE Access, Vol 12, Pp 32472-32481 (2024)
How can scalable vector graphics (SVG) data of human faces be transformed to resemble specific animal faces? Since the early $20^{th}$ century, multimedia featuring animals has garnered significant attention, particularly as interest in anthropomorph
Externí odkaz:
https://doaj.org/article/8657252d877041aa8a1604385262a1cb
Publikováno v:
IEEE Access, Vol 12, Pp 20705-20725 (2024)
With the development of artificial intelligence, there have been many attempts to incorporate artificial intelligence into algorithmic trading. In particular, reinforcement learning, which aims to solve dynamic decision-making problems, is attracting
Externí odkaz:
https://doaj.org/article/e9ceac1cfddc44c9bf2a1d6cbb7848c9
Autor:
Sangil Park, Jun-Ho Huh
Publikováno v:
IEEE Access, Vol 11, Pp 96131-96142 (2023)
In the Smart Factory environment of the $4^{th}$ industrial revolution, much data is generated from equipment, IoT sensors, and a wide range of manufacturing systems. As manufacturing sites are scattered around the world, information exchange between
Externí odkaz:
https://doaj.org/article/53f18e719479415fb5cdead8e093dff3
Autor:
Ji-Hyeon Bang, Sung-Wook Park, Jun-Yeong Kim, Jun Park, Jun-Ho Huh, Se-Hoon Jung, Chun-Bo Sim
Publikováno v:
IEEE Access, Vol 11, Pp 76691-76702 (2023)
Vision Transformer (ViT) has been proposed as a new image recognition method in the field of computer vision. ViT applies a Transformer structure with excellent performance in the field of natural language processing to recognize images. Unlike exist
Externí odkaz:
https://doaj.org/article/2165447041b148b8b574e6d058d91a3a
Publikováno v:
IEEE Access, Vol 11, Pp 66895-66909 (2023)
Autonomous underwater vehicles (AUVs) have been developed and used in research to perform various tasks such as marine surveys and the collection of bathymetric data in certain areas that are difficult for humans to access, such as deep seas. Because
Externí odkaz:
https://doaj.org/article/0a7af786f065442699b17f583e6e230d
Autor:
Baek-Yong Jung, Seung-Mo Je, Hoon-Gi Lee, Hong-Sik Kim, Jong-Young Park, Bu-Yeol Oh, Jung-Woo Park, Jun-Ho Huh, Jae-Hun Lee
Publikováno v:
Fire, Vol 5, Iss 6, p 216 (2022)
Among the fire reports caused by seasonal devices registered with the Korea Fire Information Center in 2021, fires caused by heating cables accounted for the largest portion with 350 cases. As a result of analyzing the heating cable fires from 2015 t
Externí odkaz:
https://doaj.org/article/940989d369fe42a88e7a31f40a034795
Publikováno v:
Energies, Vol 15, Iss 21, p 8233 (2022)
Photovoltaic (PV) technology converts solar energy into electrical energy, and the PV industry is an essential renewable energy industry. However, the amount of power generated through PV systems is closely related to unpredictable and uncontrollable
Externí odkaz:
https://doaj.org/article/d4e232cb930b49e09b3bfed4d3d042e9