Zobrazeno 1 - 10
of 62
pro vyhledávání: '"Ahmed Shaharyar Khwaja"'
Publikováno v:
Array, Vol 10, Iss , Pp 100057- (2021)
This article presents a comprehensive survey of deep learning applications for object detection and scene perception in autonomous vehicles. Unlike existing review papers, we examine the theory underlying self-driving vehicles from deep learning pers
Externí odkaz:
https://doaj.org/article/a041253e5eb545a184b9602ea7f36906
Publikováno v:
Sensors, Vol 20, Iss 21, p 5991 (2020)
In this paper, we propose an environment perception framework for autonomous driving using state representation learning (SRL). Unlike existing Q-learning based methods for efficient environment perception and object detection, our proposed method ta
Externí odkaz:
https://doaj.org/article/391d0f8954834374bd522c20613fa65a
Publikováno v:
International Journal of Antennas and Propagation, Vol 2016 (2016)
Externí odkaz:
https://doaj.org/article/0831ed3ec3c64cce98e9c97759085df4
Autor:
Ahmed Shaharyar Khwaja, Muhammad Naeem, Alagan Anpalagan, Tas A. Venetsanopoulos, Bala Venkatesh
Publikováno v:
The Journal of Engineering (2015)
In this study, the authors study the problem of smart meter deployment optimisation for appliance load monitoring, that is, to monitor a number of devices without any ambiguity using the minimum number of low-cost smart meters. The importance of this
Externí odkaz:
https://doaj.org/article/90eb434a5fb347fca8a0110fb9a864da
Publikováno v:
International Journal of Antennas and Propagation, Vol 2015 (2015)
Externí odkaz:
https://doaj.org/article/9f282f89d72f443fb068906f0b9a5a89
Publikováno v:
International Journal of Antennas and Propagation, Vol 2013 (2013)
We present compressed sensing (CS) synthetic aperture radar (SAR) moving target imaging in the presence of dictionary mismatch. Unlike existing work on CS SAR moving target imaging, we analyze the sensitivity of the imaging process to the mismatch an
Externí odkaz:
https://doaj.org/article/6b6c976ee64244d4a0e40ea7e4845ba1
Autor:
Lilatul Ferdouse, Ahmed Shaharyar Khwaja, Alagan Anpalagan, Brad Stimpson, Ali Arad, Isaac Woungang
Publikováno v:
Transactions on Emerging Telecommunications Technologies.
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::67ce6e943242bfb519a78859a2248351
https://doi.org/10.1002/ett.4763
https://doi.org/10.1002/ett.4763
Publikováno v:
IET Networks, Vol 10, Iss 6, Pp 304-321 (2021)
With the growth of mobile data traffic in wireless networks, caches are used to bring data closer to mobile users and to minimise the traffic load on macro base station (MBS). Storing data in caches on user terminals (UTs) and small base stations (SB
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::96e6d600dc0c6da8bcacdc74ea932bf3
https://doi.org/10.32920/21453783
https://doi.org/10.32920/21453783
Autor:
Ahmed Shaharyar Khwaja, Ling Guan, F. A. Qayyum, Bala Venkatesh, Muhammad Naeem, Alagan Anpalagan
Publikováno v:
IEEE Access, Vol 3, Pp 2176-2190 (2015)
In this paper, we propose a solution to the problem of scheduling of a smart home appliance operation in a given time range. In addition to power-consuming appliances, we adopt a photovoltaic (PV) panel as a power-producing appliance that acts as a m
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::8f78a3cbf1aa1065f6c56a1c1945bd11
https://doi.org/10.32920/21408591
https://doi.org/10.32920/21408591
Publikováno v:
IEEE Access, Vol 9, Pp 154804-154814 (2021)
In this paper, we evaluate and analyze the performance of long short-term memory networks (LSTMs) for individual electric vehicle (EV) charging behavior prediction over the next day. The charging behavior consists of the charging duration level withi
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::9d075d765eabd80b873d88ddfc975149
https://ieeexplore.ieee.org/document/9615185/
https://ieeexplore.ieee.org/document/9615185/