A survey on improving the wireless communication with adaptive antenna selection by intelligent method

CH Wu, CF Lai - Computer Communications, 2022 - Elsevier
Transmission applications in wireless networks have brought unprecedented demands. The
demand for high-performance wireless transmission is increasing day by day. Antenna …

Quantum key distribution protocol selector based on machine learning for next-generation networks

OD Okey, SS Maidin, R Lopes Rosa, WT Toor… - Sustainability, 2022 - mdpi.com
In next-generation networks, including the sixth generation (6G), a large number of
computing devices can communicate with ultra-low latency. By implication, 6G capabilities …

An analysis of image features extracted by CNNs to design classification models for COVID-19 and non-COVID-19

AAM Teodoro, DH Silva, M Saadi, OD Okey… - Journal of signal …, 2023 - Springer
The SARS-CoV-2 virus causes a respiratory disease in humans, known as COVID-19. The
confirmatory diagnostic of this disease occurs through the real-time reverse transcription and …

Asqm: Audio streaming quality metric based on network impairments and user preferences

MR dos Santos, AP Batista, RL Rosa… - IEEE Transactions …, 2023 - ieeexplore.ieee.org
Audio streaming services have many users because the proliferation of cloud-based audio
streaming services for different content. The complex networks that support these services …

A speech quality classifier based on tree-cnn algorithm that considers network degradations

ST Vieira, RL Rosa, DZ Rodríguez - Journal of Communications …, 2020 - hrcak.srce.hr
Sažetak Many factors can affect the users' quality of experience (QoE) in speech
communication services. The impairment factors appear due to physical phenomena that …

Deep-Learning for generic blind-Joint Channel Equalization and Power Amplifier Post-distortion

C Farhati, S Feki, H Shaiek, A Dziri, AA El Bey… - IEEE …, 2023 - ieeexplore.ieee.org
One of the major problems faced in digital communication systems is Inter-Symbol
Interference (ISI), induced by the propagation channel in the single carrier based systems …

Evaluation of Lombard speech models in the context of speech in noise enhancement

G Korvel, K Kąkol, O Kurasova, B Kostek - IEEE access, 2020 - ieeexplore.ieee.org
The Lombard effect is one of the most well-known effects of noise on speech production.
Speech with the Lombard effect is more easily recognizable in noisy environments than …

Enhanced routing algorithm based on reinforcement machine learning—A case of VoIP service

DR Militani, HP de Moraes, RL Rosa, L Wuttisittikulkij… - Sensors, 2021 - mdpi.com
The routing algorithm is one of the main factors that directly impact on network performance.
However, conventional routing algorithms do not consider the network data history, for …

Automated validation of spatial data

JVT Salgado, DZR Vinicius, VDS Dias… - 2024 International …, 2024 - ieeexplore.ieee.org
Spatial databases, are often based on relational database management systems (RDBMS),
to incorporate geographical data essential for data planning and optimization. However …

Determining a non-intrusive voice quality model using machine learning and signal analysis in time

DZ Rodriguez, LCB Junior - INFOCOMP Journal of Computer …, 2019 - infocomp.dcc.ufla.br
Determining a Non-Intrusive Voice Quality Model Using Machine Learning and Signal Analysis
in Time Page 1 Determining a Non-Intrusive Voice Quality Model Using Machine Learning …