-
1
-
-
85052978068
-
-
Centre Econ. Bus. Res., London, U.K
-
The Future Economic and Environmental Costs of Gridlock in 2030, An Assessment of the Direct and Indirect Economic and Environmental Costs of Idling in Road Traffic Congestion to Households in the UK, France, Germany and the USA Report for INRIX, Centre Econ. Bus. Res., London, U.K., 2016.
-
(2016)
The Future Economic and Environmental Costs of Gridlock in 2030, An Assessment of The Direct and Indirect Economic and Environmental Costs of Idling in Road Traffic Congestion to Households in The UK, France, Germany and The USA Report for INRIX
-
-
-
2
-
-
84885616572
-
Toward cloud-based vehicular networks with efficient resource management
-
Sep./Oct
-
R. Yu, Y. Zhang, S. Gjessing, W. Xia, and K. Yang, ‘‘Toward cloud-based vehicular networks with efficient resource management,’’ IEEE Network, vol. 27, no. 5, pp. 48–55, Sep./Oct. 2013.
-
(2013)
IEEE Network
, vol.27
, Issue.5
, pp. 48-55
-
-
Yu, R.1
Zhang, Y.2
Gjessing, S.3
Xia, W.4
Yang, K.5
-
3
-
-
70449515515
-
Vehicular communication systems: Enabling technologies, applications, and future outlook on intelligent transportation
-
Nov
-
P. Papadimitratos, A. De La Fortelle, K. Evenssen, R. Brignolo, and S. Cosenza, ‘‘Vehicular communication systems: Enabling technologies, applications, and future outlook on intelligent transportation,’’ IEEE Commun. Mag., vol. 47, no. 11, pp. 84–95, Nov. 2009.
-
(2009)
IEEE Commun. Mag.
, vol.47
, Issue.11
, pp. 84-95
-
-
Papadimitratos, P.1
De La Fortelle, A.2
Evenssen, K.3
Brignolo, R.4
Cosenza, S.5
-
4
-
-
77956877124
-
The Internet of Things: A survey
-
Oct
-
L. Atzori, A. Iera, and G. Morabito, ‘‘The Internet of Things: A survey,’’ Comput. Netw., vol. 54, no. 15, pp. 2787–2805, Oct. 2010.
-
(2010)
Comput. Netw.
, vol.54
, Issue.15
, pp. 2787-2805
-
-
Atzori, L.1
Iera, A.2
Morabito, G.3
-
5
-
-
85015444172
-
Predictive big data collection in vehicular networks: A software defined networking based approach
-
Z. Jiao, H. Ding, M. Dang, R. Tian, and B. Zhang, ‘‘Predictive big data collection in vehicular networks: A software defined networking based approach,’’ in Proc. Global Commun. Conf. (GLOBECOM), 2016, pp. 1–6.
-
(2016)
Proc. Global Commun. Conf. (GLOBECOM)
, pp. 1-6
-
-
Jiao, Z.1
Ding, H.2
Dang, M.3
Tian, R.4
Zhang, B.5
-
6
-
-
84991065447
-
Cost-efficient sensory data transmission in heterogeneous software-defined vehicular networks
-
Oct
-
Z. He, D. Zhang, and J. Liang, ‘‘Cost-efficient sensory data transmission in heterogeneous software-defined vehicular networks,’’ IEEE Sensors J., vol. 16, no. 20, pp. 7342–7354, Oct. 2016.
-
(2016)
IEEE Sensors J
, vol.16
, Issue.20
, pp. 7342-7354
-
-
He, Z.1
Zhang, D.2
Liang, J.3
-
7
-
-
84942636228
-
Software defined networking-based vehicular adhoc network with fog computing
-
May
-
N. B. Truong, G. M. Lee, and Y. Ghamri-Doudane, ‘‘Software defined networking-based vehicular adhoc network with fog computing,’’ in Proc. IFIP/IEEE Int. Symp. Integr. Netw. Manage. (IM), May 2015, pp. 1202–1207.
-
(2015)
Proc. IFIP/IEEE Int. Symp. Integr. Netw. Manage. (IM)
, pp. 1202-1207
-
-
Truong, N.B.1
Lee, G.M.2
Ghamri-Doudane, Y.3
-
8
-
-
84904129824
-
VANET based traffic estimation: A matrix completion approach
-
R. Du, C. Chen, B. Yang, and X. Guan, ‘‘VANET based traffic estimation: A matrix completion approach,’’ in Proc. Global Commun. Conf. (GLOBECOM), 2013, pp. 30–35.
-
(2013)
Proc. Global Commun. Conf. (GLOBECOM)
, pp. 30-35
-
-
Du, R.1
Chen, C.2
Yang, B.3
Guan, X.4
-
9
-
-
84921409677
-
Effective urban traffic monitoring by vehicular sensor networks
-
Jan
-
R. Du, C. Chen, B. Yang, N. Lu, X. Guan, and X. Shen, ‘‘Effective urban traffic monitoring by vehicular sensor networks,’’ IEEE Trans. Veh. Technol., vol. 64, no. 1, pp. 273–286, Jan. 2015.
-
(2015)
IEEE Trans. Veh. Technol.
, vol.64
, Issue.1
, pp. 273-286
-
-
Du, R.1
Chen, C.2
Yang, B.3
Lu, N.4
Guan, X.5
Shen, X.6
-
10
-
-
85027926799
-
Traffic flow prediction with big data: A deep learning approach
-
Apr
-
Y. Lv, Y. Duan, W. Kang, Z. Li, and F.-Y. Wang, ‘‘Traffic flow prediction with big data: A deep learning approach,’’ IEEE Trans. Intell. Transp. Syst., vol. 16, no. 2, pp. 865–873, Apr. 2015.
-
(2015)
IEEE Trans. Intell. Transp. Syst.
, vol.16
, Issue.2
, pp. 865-873
-
-
Lv, Y.1
Duan, Y.2
Kang, W.3
Li, Z.4
Wang, F.-Y.5
-
11
-
-
68949137209
-
-
Univ. Wisconsin, Madison, WI, USA, Tech. Rep. 1648
-
B. Settles, ‘‘Active learning literature survey,’’ Univ. Wisconsin, Madison, WI, USA, Tech. Rep. 1648, p. 11.
-
Active Learning Literature Survey
, pp. 11
-
-
Settles, B.1
-
12
-
-
84919935425
-
Software-defined networking: A comprehensive survey
-
Jan
-
D. Kreutz, F. Ramos, P. E. Veríssimo, C. E. Rothenberg, S. Azodolmolky, and S. Uhlig, ‘‘Software-defined networking: A comprehensive survey,’’ Proc. IEEE, vol. 103, no. 1, pp. 14–76, Jan. 2015.
-
(2015)
Proc. IEEE
, vol.103
, Issue.1
, pp. 14-76
-
-
Kreutz, D.1
Ramos, F.2
Veríssimo, P.E.3
Rothenberg, C.E.4
Azodolmolky, S.5
Uhlig, S.6
-
13
-
-
84962019235
-
When big data meets software-defined networking: SDN for big data and big data for SDN
-
Jan./Feb
-
L. Cui, F. R. Yu, and Q. Yan, ‘‘When big data meets software-defined networking: SDN for big data and big data for SDN,’’ IEEE Netw., vol. 30, no. 1, pp. 58–65, Jan./Feb. 2016.
-
(2016)
IEEE Netw
, vol.30
, Issue.1
, pp. 58-65
-
-
Cui, L.1
Yu, F.R.2
Yan, Q.3
-
14
-
-
84979780639
-
Software-defined and value-based information processing and dissemination in IoT applications
-
Apr
-
M. Tortonesi, J. Michaelis, N. Suri, and M. Baker, ‘‘Software-defined and value-based information processing and dissemination in IoT applications,’’ in Proc. IEEE/IFIP Netw. Oper. Manage. Symp. (NOMS), Apr. 2016, pp. 789–793.
-
(2016)
Proc. IEEE/IFIP Netw. Oper. Manage. Symp. (NOMS)
, pp. 789-793
-
-
Tortonesi, M.1
Michaelis, J.2
Suri, N.3
Baker, M.4
-
15
-
-
85009968749
-
High-efficiency urban traffic management in context-aware computing and 5G communication
-
Jan
-
J. Liu et al., ‘‘High-efficiency urban traffic management in context-aware computing and 5G communication,’’ IEEE Commun. Mag., vol. 55, no. 1, pp. 34–40, Jan. 2017.
-
(2017)
IEEE Commun. Mag.
, vol.55
, Issue.1
, pp. 34-40
-
-
Liu, J.1
-
16
-
-
84925218120
-
Software-defined networking for RSU clouds in support of the Internet of vehicles
-
Apr
-
M. A. Salahuddin, A. Al-Fuqaha, and M. Guizani, ‘‘Software-defined networking for RSU clouds in support of the Internet of vehicles,’’ IEEE Internet Things J., vol. 2, no. 2, pp. 133–144, Apr. 2015.
-
(2015)
IEEE Internet Things J
, vol.2
, Issue.2
, pp. 133-144
-
-
Salahuddin, M.A.1
Al-Fuqaha, A.2
Guizani, M.3
-
17
-
-
84949922707
-
HaTTC: An urban traffic sensing method based on tensor completion technique
-
Dec
-
Q. Zhao, C. Chen, R. Du, S. Bi, and B. Yang, ‘‘HaTTC: An urban traffic sensing method based on tensor completion technique,’’ in Proc. IEEE Global Commun. Conf. (GLOBECOM), Dec. 2014, pp. 175–180.
-
(2014)
Proc. IEEE Global Commun. Conf. (GLOBECOM)
, pp. 175-180
-
-
Zhao, Q.1
Chen, C.2
Du, R.3
Bi, S.4
Yang, B.5
-
18
-
-
33750717265
-
Active collaborative filtering
-
C. Boutilier, R. S. Zemel, and B. Marlin, ‘‘Active collaborative filtering,’’ in Proc. 19th Conf. Uncertainty Artif. Intell., 2002, pp. 98–106.
-
(2002)
Proc. 19th Conf. Uncertainty Artif. Intell.
, pp. 98-106
-
-
Boutilier, C.1
Zemel, R.S.2
Marlin, B.3
-
19
-
-
34748918427
-
A Bayesian approach toward active learning for collaborative filtering
-
R. Jin and L. Si, ‘‘A Bayesian approach toward active learning for collaborative filtering,’’ in Proc. 20th Conf. Uncertainty Artif. Intell., 2004, pp. 278–285.
-
(2004)
Proc. 20th Conf. Uncertainty Artif. Intell.
, pp. 278-285
-
-
Jin, R.1
Si, L.2
-
21
-
-
85052977160
-
Active collaborative prediction with maximum margin matrix factorization
-
I. Rish and G. Tesauro, ‘‘Active collaborative prediction with maximum margin matrix factorization,’’ in Proc. ISAIM, 2008, p. 20.
-
(2008)
Proc. ISAIM
, pp. 20
-
-
Rish, I.1
Tesauro, G.2
-
22
-
-
84894666258
-
Active matrix completion
-
Dec
-
S. Chakraborty, J. Zhou, V. Balasubramanian, S. Panchanathan, I. Davidson, and J. Ye, ‘‘Active matrix completion,’’ in Proc. IEEE 13th Int. Conf. Data Mining (ICDM), Dec. 2013, pp. 81–90.
-
(2013)
Proc. IEEE 13th Int. Conf. Data Mining (ICDM)
, pp. 81-90
-
-
Chakraborty, S.1
Zhou, J.2
Balasubramanian, V.3
Panchanathan, S.4
Davidson, I.5
Ye, J.6
-
23
-
-
84954191047
-
Matrix completion with queries
-
N. Ruchansky, M. Crovella, and E. Terzi, ‘‘Matrix completion with queries,’’ in Proc. 21st ACM SIGKDD Int. Conf. Knowl. Discovery Data Mining, 2015, pp. 1025–1034.
-
(2015)
Proc. 21st ACM SIGKDD Int. Conf. Knowl. Discovery Data Mining
, pp. 1025-1034
-
-
Ruchansky, N.1
Crovella, M.2
Terzi, E.3
-
24
-
-
85007197367
-
A disagreement-based active matrix completion approach with provable guarantee
-
C. Lan, Y. Deng, and J. Huan, ‘‘A disagreement-based active matrix completion approach with provable guarantee,’’ in Proc. Int. Joint Conf. Neural Netw. (IJCNN), 2016, pp. 4082–4088.
-
(2016)
Proc. Int. Joint Conf. Neural Netw. (IJCNN)
, pp. 4082-4088
-
-
Lan, C.1
Deng, Y.2
Huan, J.3
-
25
-
-
84866627419
-
Fog computing and its role in the Internet of Things
-
F. Bonomi, R. Milito, J. Zhu, and S. Addepalli, ‘‘Fog computing and its role in the Internet of Things,’’ in Proc. 1st ed. MCC Workshop Mobile Cloud Comput., 2012, pp. 13–16.
-
(2012)
Proc. 1st Ed. MCC Workshop Mobile Cloud Comput.
, pp. 13-16
-
-
Bonomi, F.1
Milito, R.2
Zhu, J.3
Addepalli, S.4
-
26
-
-
33748626280
-
A license plate-recognition algorithm for intelligent transportation system applications
-
Sep
-
C. N. E. Anagnostopoulos, I. E. Anagnostopoulos, V. Loumos, and E. Kayafas, ‘‘A license plate-recognition algorithm for intelligent transportation system applications,’’ IEEE Trans. Intell. Transp. Syst., vol. 7, no. 3, pp. 377–392, Sep. 2006.
-
(2006)
IEEE Trans. Intell. Transp. Syst.
, vol.7
, Issue.3
, pp. 377-392
-
-
Anagnostopoulos, C.N.E.1
Anagnostopoulos, I.E.2
Loumos, V.3
Kayafas, E.4
-
27
-
-
84946134766
-
Survey on QoS management of VoIP
-
X. Chen, C. Wang, D. Xuan, Z. Li, Y. Min, and W. Zhao, ‘‘Survey on QoS management of VoIP,’’ in Proc. Int. Conf. Comput. Netw. Mobile Comput. (ICCNMC), 2003, pp. 69–77.
-
(2003)
Proc. Int. Conf. Comput. Netw. Mobile Comput. (ICCNMC)
, pp. 69-77
-
-
Chen, X.1
Wang, C.2
Xuan, D.3
Li, Z.4
Min, Y.5
Zhao, W.6
-
28
-
-
85052978154
-
-
Accessed: Apr. 13, 2016
-
CRAWDAD. Epfl/Modify Dataset. Accessed: Apr. 13, 2016. [Online]. Available: http://crawdad.org/
-
Epfl/Modify Dataset
-
-
-
29
-
-
71049116435
-
Exact matrix completion via convex optimization
-
E. J. Candés and B. Recht, ‘‘Exact matrix completion via convex optimization,’’ Found. Comput. Math., vol. 9, no. 6, p. 717, 2009.
-
(2009)
Found. Comput. Math.
, vol.9
, Issue.6
, pp. 717
-
-
Candés, E.J.1
Recht, B.2
-
31
-
-
77954418047
-
A survey of collaborative filtering techniques
-
Aug
-
X. Su and T. M. Khoshgoftaar, ‘‘A survey of collaborative filtering techniques,’’ Adv. Artif. Intell., vol. 4, Aug. 2009, Art. no. 421425.
-
(2009)
Adv. Artif. Intell.
, vol.4
-
-
Su, X.1
Khoshgoftaar, T.M.2
-
32
-
-
68649129121
-
OpenFlow: Enabling innovation in campus networks
-
Apr
-
N. McKeown et al., ‘‘OpenFlow: Enabling innovation in campus networks,’’ ACM SIGCOMM Comput. Commun. Rev., vol. 38, no. 2, pp. 69–74, Apr. 2008.
-
(2008)
ACM SIGCOMM Comput. Commun. Rev.
, vol.38
, Issue.2
, pp. 69-74
-
-
McKeown, N.1
|