Zobrazeno 1 - 10
of 17
pro vyhledávání: '"Aqeel Anwar"'
Publikováno v:
Frontiers in Neuroscience, Vol 16 (2022)
Evolution has honed predatory skills in the natural world where localizing and intercepting fast-moving prey is required. The current generation of robotic systems mimics these biological systems using deep learning. High-speed processing of the came
Externí odkaz:
https://doaj.org/article/49d6707ef2294862b5cfc744e15e1494
Autor:
Aqeel Anwar, Arijit Raychowdhury
Publikováno v:
IEEE Access, Vol 8, Pp 26549-26560 (2020)
Smart and agile drones are fast becoming ubiquitous at the edge of the cloud. The usage of these drones is constrained by their limited power and compute capability. In this paper, we present a Transfer Learning (TL) based approach to reduce on-board
Externí odkaz:
https://doaj.org/article/e1c6dbd5a18645e391c5d682f4b78e79
Publikováno v:
The Pakistan Development Review, 2022 Jan 01. 61(1), 149-152.
Externí odkaz:
https://www.jstor.org/stable/27262036
Autor:
Muhammad Aqeel Anwar, Ghulam Abbas, Irfan Khan, Ahmed Bilal Awan, Umar Farooq, Saad Saleem Khan
Publikováno v:
Energies, Vol 13, Iss 5, p 1261 (2020)
Due to the impediments of voltage source inverter and current source inverter, Z-Source Inverter (ZSI) has become notorious for better power quality in low and medium power applications. Several modifications are proposed for impedance source in the
Externí odkaz:
https://doaj.org/article/03a984db36c448c5bc02e48260b93c65
Publikováno v:
DAC
Learning-based navigation systems are widely used in autonomous applications, such as robotics, unmanned vehicles and drones. Specialized hardware accelerators have been proposed for high-performance and energy-efficiency for such navigational tasks.
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::68e04f0e86ea4469329c12813b6dfb7f
https://doi.org/10.1109/dac18074.2021.9586116
https://doi.org/10.1109/dac18074.2021.9586116
Present-day Deep Reinforcement Learning (RL) systems show great promise towards building intelligent agents surpassing human-level performance. However, the computational complexity associated with the underlying deep neural networks (DNNs) leads to
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::553345a2374400964c8d18fb33752a99
Publikováno v:
AICAS
An explosion in big data driven machine learning (ML) applications in conjunction with a severe slowdown of Moore’s Law are prompting the search for alternative application-specific hardware fabrics. With its focus on bringing the compute inside me
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::648b3e05df1f0d8f3dc279989394fce8
https://doi.org/10.1109/aicas48895.2020.9073792
https://doi.org/10.1109/aicas48895.2020.9073792
Publikováno v:
IEEE Systems Journal. 12:862-870
Sensor nodes deployed for event localization are required to be location aware. When event of interest is acoustic, node calibration (involving localization and orientation) during deployment phase become significant for accurate event localization d
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::9c28c857aa3d53e4bb2fda0867d2f49a
https://doi.org/10.1109/jsyst.2016.2564987
https://doi.org/10.1109/jsyst.2016.2564987
Publikováno v:
Pakistan Development Review; 2022, Vol. 61 Issue 1, p149-152, 4p