Zobrazeno 1 - 10
of 45
pro vyhledávání: '"Iwao Maeda"'
Publikováno v:
Transportation Engineering, Vol 5, Iss , Pp 100077- (2021)
It is important to predict the fatigue conditions of in-service roads for monitoring the state of internal pavement layers, planning the routine maintenance services and for ensuring the safety of travelling vehicles. Among various factors, the frict
Externí odkaz:
https://doaj.org/article/489789b05c604b6091a0a044c3e75c46
Autor:
Atsuo Kato, Kiyoshi Izumi, Hiroyasu Matsushima, Michiharu Kitano, David deGraw, Hiroki Sakaji, Iwao Maeda
Publikováno v:
International Journal of Smart Computing and Artificial Intelligence. 5:1-18
Publikováno v:
Transportation Engineering, Vol 5, Iss, Pp 100077-(2021)
It is important to predict the fatigue conditions of in-service roads for monitoring the state of internal pavement layers, planning the routine maintenance services and for ensuring the safety of travelling vehicles. Among various factors, the frict
Publikováno v:
SSRN Electronic Journal.
Autor:
Hiroyasu Matsushima, Michiharu Kitano, Atsuo Kato, Kiyoshi Izumi, Iwao Maeda, David deGraw, Hiroki Sakaji
Publikováno v:
Journal of Risk and Financial Management, Vol 13, Iss 250, p 250 (2020)
Journal of Risk and Financial Management
Volume 13
Issue 11
Journal of Risk and Financial Management
Volume 13
Issue 11
While exchanges and regulators are able to observe and analyze the individual behavior of financial market participants through access to labeled data, this information is not accessible by other market participants nor by the general public. A key q
Autor:
Hiroyasu Matsushima, Hirokazu Tomioka, Iwao Maeda, Michiharu Kitano, Atsuo Kato, Kiyoshi Izumi, David deGraw, Hiroki Sakaji
Publikováno v:
Advances in Intelligent Systems and Computing ISBN: 9783030382261
Forecasting financial market trends is challenging. Predicting financial market trends always involves uncertainty because the economy is a complex system with a wide variety of interactions. Thus, to consider uncertainty, trends must be estimated st
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::35dc65e443ade4d707f9484541af87c4
https://doi.org/10.1007/978-3-030-38227-8_24
https://doi.org/10.1007/978-3-030-38227-8_24
Publikováno v:
Optical Fiber Technology. 67:102705
This paper describes field applications of distributed optical fiber sensors (DOFS) for monitoring the traffic load on an existing road. To investigate the optimal embedment depth for DOFS for pavement monitoring, a series of field tests was conducte
Autor:
Hiroki Sakaji, Michiharu Kitano, David deGraw, Atsuo Kato, Kiyoshi Izumi, Hiroyasu Matsushima, Iwao Maeda
Publikováno v:
IIAI-AAI
Accurate prediction of financial markets is considered one of the most difficult problems due to the nature of its complexity, influenceability, and nonstationarity. Recent financial forecasting applications using neural networks typically have not t
Autor:
Hiroyasu Matsushima, Michiharu Kitano, Iwao Maeda, Atsuo Kato, Kiyoshi Izumi, Hiroki Sakaji, David deGraw
Publikováno v:
Journal of Risk and Financial Management
Volume 13
Issue 4
Journal of Risk and Financial Management, Vol 13, Iss 71, p 71 (2020)
Volume 13
Issue 4
Journal of Risk and Financial Management, Vol 13, Iss 71, p 71 (2020)
Prediction of financial market data with deep learning models has achieved some level of recent success. However, historical financial data suffer from an unknowable state space, limited observations, and the inability to model the impact of your own
Autor:
Iwao Maeda, deGraw, David, Michiharu Kitano, Hiroyasu Matsushima, Kiyoshi Izumi, Hiroki Sakaji, Atsuo Kato
Publikováno v:
Journal of Risk & Financial Management; Nov2020, Vol. 13 Issue 11, p1-12, 12p, 1 Chart