Zobrazeno 1 - 10
of 12
pro vyhledávání: '"Perry Robinson MacNeille"'
Publikováno v:
SAE International Journal of Passenger Cars - Electronic and Electrical Systems. 10:231-239
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::0c28365423d52d64ba99796829c5adc5
https://doi.org/10.4271/2017-01-1649
https://doi.org/10.4271/2017-01-1649
Autor:
Jinjing Yang, Yu Chen, Oleg Yurievitch Gusikhin, Yimin Liu, Omar Makke, Perry Robinson MacNeille, Jeff Yeung
Publikováno v:
2016 IEEE Advanced Information Management, Communicates, Electronic and Automation Control Conference (IMCEC).
Severe in-vehicle air quality may affect drivers and passengers' health and reduce customers' satisfaction or experience with the vehicles, especially in some areas with heavy pollutants. Nowadays, in-vehicle cabin air quality management draws more a
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::ea0d7aafc4b57e44685c52da3eca3f9a
https://doi.org/10.1109/imcec.2016.7867226
https://doi.org/10.1109/imcec.2016.7867226
Publikováno v:
ICSC
In order to realize the promise of Big Data, applications will have to consider the integration of many disparate data sources. Due to data heterogeneity, this task presents a number of challenges that may not be completely resolved with existing Ext
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::f052605af7d36b3f115b90dffc471fbd
https://doi.org/10.1109/icsc.2016.101
https://doi.org/10.1109/icsc.2016.101
Publikováno v:
ICINCO (1)
SmartDeviceLink (SDL) is an open-source software development kit (SDK) that enables a smart-device to connect to the vehicle, providing functions for safe and easy access to the vehicle human-machine interface (HMI) and the ability to programmaticall
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::4788432703b92dd98a24590402c2150a
https://doi.org/10.5220/0005997002340240
https://doi.org/10.5220/0005997002340240
Publikováno v:
IJCNN
This paper presents our research in building a virtual humidity sensor using recurrent Neural Networks. Recurrent Neural Networks are promising methods for the prediction of time series because they provide feedback connections from hidden layer to i
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::45cfa5834b7f34f588439aa04c4f38c4
https://doi.org/10.1109/ijcnn.2014.6889780
https://doi.org/10.1109/ijcnn.2014.6889780
Publikováno v:
SAE Technical Paper Series.
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::8d587501dfef5072a105214e1f237ad9
https://doi.org/10.4271/2014-01-1156
https://doi.org/10.4271/2014-01-1156
Publikováno v:
Advances in Intelligent Systems and Computing ISBN: 9783642343353
SIMULTECH (Selected Papers)
SIMULTECH (Selected Papers)
The introduction of battery electric vehicles (BEV) creates many new challenges. Among them is driving a vehicle with limited driving range, long charging time and sparse deployment of charging stations. This combination may cause range anxiety for p
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::31ea5c3bc492e1c0a1c4dd2652b9f11c
https://doi.org/10.1007/978-3-642-34336-0_1
https://doi.org/10.1007/978-3-642-34336-0_1
Publikováno v:
SAE Technical Paper Series.
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::5a4082153be90bfbef2a11a86e21706f
https://doi.org/10.4271/2010-01-0461
https://doi.org/10.4271/2010-01-0461
Publikováno v:
SMC
Dynamic traffic management methods constitute the intelligent core of Intelligent Transportation Systems (ITS). In order for these methods to be effective and deployable in real-time, there is a need to develop models that predict future traffic cond
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::2c94e4b4935d60e569e3326bb58c4aca
https://doi.org/10.1109/icsmc.2003.1244582
https://doi.org/10.1109/icsmc.2003.1244582
Publikováno v:
Proceedings of the 2002 International Joint Conference on Neural Networks. IJCNN'02 (Cat. No.02CH37290).
For a given digitized view of a driving scenario, motion clusters are formed, indicating possible moving object threats to the driver. Recurrent neural networks minimize hopping between clusters and predict a cluster's next location. Frequency analys
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::9f9bb4e895c2d608c9669b17fbc649a4
https://doi.org/10.1109/ijcnn.2002.1007502
https://doi.org/10.1109/ijcnn.2002.1007502