Zobrazeno 1 - 10
of 49
pro vyhledávání: '"Kiyohito Yoshihara"'
Publikováno v:
2022 International Conference on Artificial Intelligence in Information and Communication (ICAIIC).
Autor:
Jiun-Long Huang, Hongtaek Ju, Yoshiaki Kitaguchi, Yen-Wen Chen, Kiyohito Yoshihara, Woojin Seok
Publikováno v:
Journal of Network and Systems Management. 28:423-431
This article presents a report on APNOMS 2019, which was held on September 18–20, 2019 in Kunibiki Messe, Matsue, Japan. The theme of APNOMS 2019 was “Management in a Cyber-Physical World.”
Publikováno v:
Lecture Notes in Computer Science ISBN: 9783030668877
MABS
MABS
Electric power sharing among households based on the bidding method is studied as a future service. In order to verify the feasibility of such a service, a new multi-agent simulation model has been designed. We validated this model through some evalu
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::96a64973dc0aabd1c95be6e0c634e444
https://doi.org/10.1007/978-3-030-66888-4_4
https://doi.org/10.1007/978-3-030-66888-4_4
Publikováno v:
Human Activity Recognition Challenge ISBN: 9789811582684
We propose a model that combines only simple techniques to meet the challenge of cooking activity recognition. The challenge dataset is basically small, consisting only of four subjects where three are used for training and one for validation. In ord
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::860488002b5e083113ba0a3a86133aec
https://doi.org/10.1007/978-981-15-8269-1_3
https://doi.org/10.1007/978-981-15-8269-1_3
Publikováno v:
SMARTCOMP
With the deployment of smart homes, we find that human activity recognition (HAR) is essentially important to many applications, e.g., child/senior care, intelligent information push and exercise promotion. Although it is always better to build HAR m
Publikováno v:
IEEE BigData
The landscape of power grids is gradually changing. The growing number of electrical appliances as well as the outbreak of Electric Vehicles (EVs) is increasing the need for electricity. As a consequence, high-accuracy consumption predictions are nec
Autor:
Myung-Sup Kim, Haruo Oishi, Taesang Choi, Chih-Wei Yi, Jiun-Long Huang, Hongtaek Ju, Kiyohito Yoshihara
Publikováno v:
Journal of Network and Systems Management. 27:541-549
This article presents a report on APNOMS2017, which was held on Sept. 27–29, 2017 in Seoul, Korea. The theme of APNOMS2017 was “Managing a World of Things.”
Publikováno v:
Advances in Knowledge Discovery and Data Mining ISBN: 9783319930398
PAKDD (3)
PAKDD (3)
Most real-world sequence data for binary classification tasks appear to possess unilateral common factor. That is, samples from one of the classes occur because of common underlying causes while those from the other class may not. We are interested i
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::140fb877f0fccadcccfdfc17fed9ea62
https://doi.org/10.1007/978-3-319-93040-4_26
https://doi.org/10.1007/978-3-319-93040-4_26
Publikováno v:
ICDM Workshops
We treat failure prediction in a supervised learning framework using a convolutional neural network (CNN). Due to the nature of the problem, learning a CNN model on this kind of dataset is generally associated with three primary problems: 1) negative
Publikováno v:
IEICE Communications Society Magazine. 8:39-45