Zobrazeno 1 - 10
of 15
pro vyhledávání: '"Haitham Afifi"'
Autor:
Haitham Afifi, Sabrina Pochaba, Andreas Boltres, Dominic Laniewski, Janek Haberer, Leonard Paeleke, Reza Poorzare, Daniel Stolpmann, Nikolas Wehner, Adrian Redder, Eric Samikwa, Michael Seufert
Publikováno v:
IEEE Access, Vol 12, Pp 54673-54720 (2024)
Machine learning has found many applications in network contexts. These include solving optimisation problems and managing network operations. Conversely, networks are essential for facilitating machine learning training and inference, whether perfor
Externí odkaz:
https://doaj.org/article/5b982b09f1ce4a29a7797224fa45a7f0
Publikováno v:
Benha Medical Journal.
Autor:
Haitham Afifi
In this work we use autonomous vehicles to improve the performance of Wireless Sensor Networks (WSNs). In contrast to other autonomous vehicle applications, WSNs have two metrics for performance evaluation. First, quality of information (QoI) which i
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::36ae431f29568787bd7e7aa949dccc48
https://doi.org/10.36227/techrxiv.14778252.v2
https://doi.org/10.36227/techrxiv.14778252.v2
Publikováno v:
Pervasive and Mobile Computing. 92:101799
Publikováno v:
2022 International Wireless Communications and Mobile Computing (IWCMC).
Autor:
Haitham Afifi
We develop a Deep Reinforcement Learning (DeepRL) based multi-agent algorithm to efficiently controlautonomous vehicles in the context of Wireless Sensor Networks (WSNs). In contrast to other applications, WSNshave two metrics for performance evaluat
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::ec836dbe3cc1ae2d7a9625d80dc276ae
https://doi.org/10.36227/techrxiv.14778252.v1
https://doi.org/10.36227/techrxiv.14778252.v1
Publikováno v:
ICASSP
To address the vital problem of selecting the most useful microphones in wireless acoustic sensor networks, this paper proposes a novel, general-purpose approach that accounts for both acoustic and network aspects and remains application-agnostic for
Publikováno v:
ICC
In this work we use autonomous vehicles to improve the performance of Wireless Sensor Networks (WSNs). In contrast to other autonomous vehicle applications, WSNs have two metrics for performance evaluation. First, quality of information (QoI) which i
Publikováno v:
CCNC
Two of the most important metrics when developing Wireless Sensor Networks (WSNs) applications are the Quality of Information (QoI) and Quality of Service (QoS). The former is used to specify the quality of the collected data by the sensors (e.g., me
Autor:
Haitham Afifi, Holger Karl
Publikováno v:
WiMob
Upcoming sensing applications (acoustic or video) will have high processing requirements not satisfiable by a single node or need input from multiple sources (e.g., speaker localization). Offloading these applications to cloud or mobile edge is an op