Zobrazeno 1 - 7
of 7
pro vyhledávání: '"Muhammad Javvad ur Rehman"'
Autor:
Abdullah Waqas, Muhammad Javvad ur Rehman, Hammad Dilpazir, Muhammad Farhan Sohail, Nafis Subhani
Publikováno v:
International Journal of Distributed Sensor Networks, Vol 2023 (2023)
The unmanned aerial vehicle communication networks (UAVCNs) are composed of unmanned aerial vehicles (UAVs) connected in ad hoc mode to facilitate vertical communication in 5G and beyond networks. UAVs operating in an ad hoc mode of operation mostly
Externí odkaz:
https://doaj.org/article/e7c591a06cb54d5ebed0498ad6d62672
Autor:
Mubashar Sarfraz, Muhammad Farhan Sohail, Sheraz Alam, Muhammad Javvad ur Rehman, Sajjad Ahmed Ghauri, Khaled Rabie, Hasan Abbas, Shuja Ansari
Publikováno v:
Drones, Vol 6, Iss 9, p 234 (2022)
Unmanned air vehicle communication (UAV) systems have recently emerged as a quick, low-cost, and adaptable solution to numerous challenges in the next-generation wireless network. In particular, UAV systems have shown to be very useful in wireless co
Externí odkaz:
https://doaj.org/article/0632dd79b4fa493892fb45652c9997ea
Publikováno v:
EURASIP Journal on Advances in Signal Processing, Vol 2018, Iss 1, Pp 1-19 (2018)
Abstract Selecting an optimal importance density and ensuring optimal particle weights are central challenges in particle-based filtering. In this paper, we provide a two-step procedure to learn importance densities for particle-based filtering. The
Externí odkaz:
https://doaj.org/article/40e781c207394dce90a6f1c405d497fc
Autor:
Raheel Zafar, Muhammad Javvad ur Rehman, Sheraz Alam, Muhammad Arslan Khan, Asad Hussain, Rana Fayyaz Ahmad, Faruque Reza, Rifat Jahan
Publikováno v:
Computational Intelligence and Neuroscience. 2022:1-12
Human cognition is influenced by the way the nervous system processes information and is linked to this mechanical explanation of the human body’s cognitive function. Accuracy is the key emphasis in neuroscience which may be enhanced by utilising n
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::245b6a9fe61b45a83c6a391eaad2d306
https://doi.org/10.1155/2022/6474515
https://doi.org/10.1155/2022/6474515
Autor:
Muhammad Javvad Ur Rehman, Raheel Zafar, Hammad Dilpazir, Muhammad Farhan Sohail, Muhammad Arslan Khan, Rifat Jahan
Publikováno v:
Journal of Sensors. 2022:1-8
The dynamical systems are comprised of two components that change over time: the state space and the observation models. This study examines parameter inference in dynamical systems from the perspective of Bayesian inference. Inference on unknown par
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::a14eca27ef245e68c5db9196a912231a
https://doi.org/10.1155/2022/4540366
https://doi.org/10.1155/2022/4540366
Publikováno v:
Signal Processing. 160:32-44
Dynamical systems elicited via state space models are systems that consist of two components: a state and a measurement equation model that evolve over time. This paper addresses Bayesian inference of unknown parameters, or parameter learning, of suc
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::b4eaad538b7b2bd9457b2432fe785938
https://doi.org/10.1016/j.sigpro.2019.02.020
https://doi.org/10.1016/j.sigpro.2019.02.020
Publikováno v:
2018 IEEE 14th International Colloquium on Signal Processing & Its Applications (CSPA).
Dynamical systems are a natural and convenient way to model the evolution of processes observed in practice. When uncertainty is considered and incorporated, these system become known as stochastic dynamical systems. Based on observations made from s
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::92b40f3e2ba109e00979776f7aaafac7
https://doi.org/10.1109/cspa.2018.8368705
https://doi.org/10.1109/cspa.2018.8368705