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Tiago P. Pagano, Rafael B. Loureiro, Fernanda V. N. Lisboa, Gustavo O. R. Cruz, Rodrigo M. Peixoto, Guilherme A. de Sousa Guimarães, Ewerton L. S. Oliveira, Ingrid Winkler and Erick G. Sperandio Nascimento
The majority of current approaches for bias and fairness identification or mitigation in machine learning models are applications for a particular issue that fails to account for the connection between the application context and its associated sensitive...
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Tiago P. Pagano, Rafael B. Loureiro, Fernanda V. N. Lisboa, Rodrigo M. Peixoto, Guilherme A. S. Guimarães, Gustavo O. R. Cruz, Maira M. Araujo, Lucas L. Santos, Marco A. S. Cruz, Ewerton L. S. Oliveira, Ingrid Winkler and Erick G. S. Nascimento
One of the difficulties of artificial intelligence is to ensure that model decisions are fair and free of bias. In research, datasets, metrics, techniques, and tools are applied to detect and mitigate algorithmic unfairness and bias. This study examines ...
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Husam H. Hasan and Zainab T. Alisa
The Internet of Things (IoT) connects devices via the Internet. Network congestion is one of the key problems that has been identified by researchers in the IoT field. When there is a huge number of IoT devices connected to the internet, this creates net...
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Ali Alshehri, Mohamed Baza, Gautam Srivastava, Wahid Rajeh, Majed Alrowaily and Majed Almusali
With the advancement of cyber threats, blockchain technology has evolved to have a significant role in providing secure and reliable decentralized applications. One of these applications is a remote voting system that allow voters to participate in elect...
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Jawhara Boodai, Aminah Alqahtani and Mounir Frikha
Fifth generation (5G) wireless networks promise to revolutionize the way we communicate and connect to the internet. However, as with any new technology, 5G networks also bring new security challenges that need to be addressed. One of the key areas of co...
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Pranita Patil and Kevin Purcell
Although deep learning has proven to be tremendously successful, the main issue is the dependency of its performance on the quality and quantity of training datasets. Since the quality of data can be affected by biases, a novel deep learning method based...
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Michael Wagner and Christin Henzen
In Earth System Sciences (ESS), spatial data are increasingly used for impact research and decision-making. To support the stakeholders? decision, the quality of the spatial data and its assurance play a major role. We present concepts and a workflow to ...
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Yancheng Chen, Ning Li, Xijian Zhong and Wei Xie
Recently, unmanned aerial vehicles (UAVs) have been widely studied in the communication area to work as aerial base stations, due to the high probability of line of sight (LoS) and high flexibility. However, few works consider fairness for the users, whi...
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Andreas Könsgen, Md. Shahabuddin, Amanpreet Singh and Anna Förster
Multipath transport protocols are aimed at increasing the throughput of data flows as well as maintaining fairness between users, which are both crucial factors to maximize user satisfaction. In this paper, a mixed (non)linear programming (MINLP) solutio...
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Gbolahan Aiyetoro and Pius Owolawi
The rapid growth of not just mobile devices but also Internet of Things (IoT) devices has introduced a new paradigm in mobile networks. This evolution and the continuous need to provide spectrum efficient, high data rates, low latency, and low energy con...
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