Zobrazeno 1 - 7
of 7
pro vyhledávání: '"Farkhari, Hamed"'
Autor:
Viana, Joseanne, Farkhari, Hamed, Sebastiao, Pedro, Campos, Luis Miguel, Koutlia, Katerina, Bojovic, Biljana, Lagen, Sandra, Dinis, Rui
Despite the robust security features inherent in the 5G framework, attackers will still discover ways to disrupt 5G unmanned aerial vehicle (UAV) operations and decrease UAV control communication performance in Air-to-Ground (A2G) links. Operating un
Externí odkaz:
http://arxiv.org/abs/2303.12947
Autor:
Viana, Joseanne, Farkhari, Hamed, Sebastiao, Pedro, Lagen, Sandra, Koutlia, Katerina, Bojovic, Biljana, Dinis, Rui
Synthetic datasets are beneficial for machine learning researchers due to the possibility of experimenting with new strategies and algorithms in the training and testing phases. These datasets can easily include more scenarios that might be costly to
Externí odkaz:
http://arxiv.org/abs/2211.09706
Autor:
Farkhari, Hamed, Viana, Joseanne, Sebastiao, Pedro, Campos, Luis Miguel, Bernardo, Luis, Dinis, Rui, Kahvazadeh, Sarang
Only increasing accuracy without considering uncertainty may negatively impact Deep Neural Network (DNN) decision-making and decrease its reliability. This paper proposes five combined preprocessing and post-processing methods for time-series binary
Externí odkaz:
http://arxiv.org/abs/2211.02924
Autor:
Viana, Joseanne, Farkhari, Hamed, Campos, Luis Miguel, Sebastiao, Pedro, Koutlia, Katerina, Lagen, Sandra, Bernardo, Luis, Dinis, Rui
When users exchange data with Unmanned Aerial vehicles - (UAVs) over air-to-ground (A2G) wireless communication networks, they expose the link to attacks that could increase packet loss and might disrupt connectivity. For example, in emergency delive
Externí odkaz:
http://arxiv.org/abs/2207.10810
Autor:
Viana, Joseanne, Farkhari, Hamed, Campos, Luis Miguel, Sebastiao, Pedro, Cercas, Francisco, Bernardo, Luis, Dinis, Rui
Unmanned aerial vehicle (UAV) systems are vulnerable to jamming from self-interested users who utilize radio devices for their benefits during UAV transmissions. The vulnerability occurs due to the open nature of air-to-ground (A2G) wireless communic
Externí odkaz:
http://arxiv.org/abs/2203.11373
Increasing the cardinality of categorical variables might decrease the overall performance of machine learning (ML) algorithms. This paper presents a novel computational preprocessing method to convert categorical to numerical variables ML algorithms
Externí odkaz:
http://arxiv.org/abs/2111.14839
Akademický článek
Tento výsledek nelze pro nepřihlášené uživatele zobrazit.
K zobrazení výsledku je třeba se přihlásit.
K zobrazení výsledku je třeba se přihlásit.