Zobrazeno 1 - 10
of 34
pro vyhledávání: '"Sangkyoon Kim"'
Publikováno v:
The Korean Data Analysis Society. 22:13-22
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::45b4ab49d6a5ff06c38b38a2158fef1b
https://doi.org/10.37727/jkdas.2020.22.1.13
https://doi.org/10.37727/jkdas.2020.22.1.13
Publikováno v:
Advances in Computer Science and Ubiquitous Computing ISBN: 9789811593420
Generally, the problem of predicting yields of onions grown in a year is of utmost concern to both the farmers who grow vegetables and the government departments that manage them. In this study, we first considered five environmental variables, Mean
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::caa4316fbdc5ade80492a0f8a08fc553
https://doi.org/10.1007/978-981-15-9343-7_22
https://doi.org/10.1007/978-981-15-9343-7_22
Publikováno v:
Electronics
Volume 9
Issue 6
Electronics, Vol 9, Iss 1039, p 1039 (2020)
Volume 9
Issue 6
Electronics, Vol 9, Iss 1039, p 1039 (2020)
With the demand for clean energy increasing, novel research is presented in this paper on providing sustainable, clean energy for a university campus. The Internet of Things (IoT) is now a leading factor in saving energy. With added deep learning for
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::ac422f403f8e6295617a3d1f0c624d82
Publikováno v:
The Korean Data Analysis Society. 20:2213-2221
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::690976ee350eba90720de1342ba050f4
https://doi.org/10.37727/jkdas.2018.20.5.2213
https://doi.org/10.37727/jkdas.2018.20.5.2213
Publikováno v:
IEIE Transactions on Smart Processing & Computing. 7:132-139
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::7a8573306ee1b559dba1bea192924eee
https://doi.org/10.5573/ieiespc.2018.7.2.132
https://doi.org/10.5573/ieiespc.2018.7.2.132
Publikováno v:
Advanced Science Letters. 23:12712-12716
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::0e5ba745b8835d7605c45e150c1d30df
https://doi.org/10.1166/asl.2017.10884
https://doi.org/10.1166/asl.2017.10884
Publikováno v:
Advanced Science Letters. 23:10123-10127
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::0794b3aef236d29f35cb9eadc90aa088
https://doi.org/10.1166/asl.2017.10401
https://doi.org/10.1166/asl.2017.10401
Publikováno v:
Multimedia Tools and Applications. 77:18563-18582
The multinomial logistic Gaussian process is a flexible non-parametric model for multi-class classification tasks. These tasks are often involved in solving a pattern recognition problem in real life. In such contexts, the multinomial logistic functi
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::4206f68f983b9b503d1eca879bcad407
https://doi.org/10.1007/s11042-017-5210-z
https://doi.org/10.1007/s11042-017-5210-z
Publikováno v:
Advanced Science Letters. 23:1652-1655
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::eb22089ef90cefc4b665a7a1cab3eb68
https://doi.org/10.1166/asl.2017.8599
https://doi.org/10.1166/asl.2017.8599
Publikováno v:
ICCE
In this paper, we present a novel context-aware architecture for a classroom environment, recognizing student activities and saving energy. In contrast to previous models which are mainly focused on either video or image, various sensor data such as
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::818e74c2e9fe55a640bb0297595b3983
https://doi.org/10.1109/icce.2019.8661842
https://doi.org/10.1109/icce.2019.8661842