Zobrazeno 1 - 10
of 15
pro vyhledávání: '"Matin Hosseini"'
Publikováno v:
Computer and Knowledge Engineering, Vol 2, Iss 1, Pp 1-10 (2019)
A vision-based intelligent traffic control system is a robust framework that controls the traffic flow in real-time by estimating the traffic density near traffic lights. In this paper, a traffic light control system based on fuzzy Q-learning is prop
Externí odkaz:
https://doaj.org/article/7f58bbb9fb094896a299d9988065ac71
Publikováno v:
Energies, Vol 12, Iss 21, p 4055 (2019)
Variation in solar irradiance causes power generation fluctuations in solar power plants. Power grid operators need accurate irradiance forecasts to manage this variability. Many factors affect irradiance, including the time of year, weather and time
Externí odkaz:
https://doaj.org/article/546dd9537ff94003b4a1db6d2ee59769
Publikováno v:
SN Computer Science. 4
Publikováno v:
Data-Enabled Discovery and Applications. 4
The complexity metric is an effective tool to evaluate the behavioral dynamics in systems with high level of nonlinearity and interconnectivity. This paper aims to evaluate the effectiveness of using the entropic complexity as a feature to enhance si
Publikováno v:
ISGT
This study is mainly focused on identification of minor faults in power distribution systems utilizing four intelligent classifiers for pattern recognition. Dynamics discussed in this paper are not easily detectable by protection devices; however, th
Publikováno v:
AAAI
In this paper, we proposed a novel deep-learning method called Inception LSTM for video frame prediction. A standard convolutional LSTM uses a single size kernel for each of its gates. Having multiple kernel sizes within a single gate would provide a
Autor:
Henk Seubers, Joop Helder, Peter R. Wellens, Matin Hosseini, Peter van der Plas, Arthur Veldman, Xing Chang
Publikováno v:
Volume 2: CFD and FSI.
Wave forces can form a serious threat to offshore platforms and ships. The damage produced by these forces of nature jeopardizes their operability as well as the well-being of their crews. Similar remarks apply to coastal defense systems. To develop
Autor:
Veldman, Arthur E.P., van der Plas, Peter, Seubers, Henk, Zahraei, S. Matin Hosseini, Chang, Xing, Wellens, Peter R., Helder, Joop
Publikováno v:
UPCommons. Portal del coneixement obert de la UPC
Universitat Politècnica de Catalunya (UPC)
Universitat Politècnica de Catalunya (UPC)
Extreme waves and their impact on (fixed and floating) offshore structures have long been subjects that could only be studied with experimental methods; sufficiently accurate existing numerical methods (CFD) are only recently emerging. Phenomena like
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=dedup_wf_001::782aac08140ca4c8d0e7c03677c1273e
https://hdl.handle.net/2117/330335
https://hdl.handle.net/2117/330335
Publikováno v:
Journal of Medical Imaging and Health Informatics. 5:533-538
In this paper, we present a hybrid of Incremental Learning radial basis function Neural Network, Gaussian Process classifier and AdaBoost for building a breast cancer survivability prediction model. Diagnosis of breast cancer is a difficult to accomp
Publikováno v:
Artificial Neural Networks and Machine Learning – ICANN 2018 ISBN: 9783030014179
ICANN (1)
ICANN (1)
We present a novel adaptive feedforward neural network for online learning from doubly-streaming data, where both the data volume and feature space grow simultaneously. Traditional online learning and feature selection algorithms can’t handle this
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::c3b182a76524ebb96c6f13a4e09912a5
https://doi.org/10.1007/978-3-030-01418-6_50
https://doi.org/10.1007/978-3-030-01418-6_50