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Mostrando publicaciones 41-50 de 65
UWB-OFDM System model for breast cancer detection
(2022)
This research paper proposes a communication system that can be applied in diagnosis through medical imaging. The objective is to spot abnormalities in breasts with a high level of precision, allowing for diagnostics in ...
Fingerprint classification through standard and weighted extreme learning machines
(2020)
Fingerprint classification is a stage of biometric identification systems that aims to group fingerprints and reduce search times and computational complexity in the databases of fingerprints. The most recent works on this ...
PVEIN-MLELM: a novel palm vein identification approach through multilayer extreme learning machine
(2022)
Biometric identification systems play an essential role in multiple application areas, such as banking services, e-government, and public security, among others. Particularly, palm vein recognition is considered an emerging ...
A new COVID-19 detection method based on CSK/QAM visible light communication and machine learning
(2023)
This article proposes a novel method for detecting coronavirus disease 2019 (COVID-19) in an underground channel using visible light communication (VLC) and machine learning (ML). We present mathematical models of COVID-19 ...
A novel traffic prediction method using machine learning for energy efficiency in service provider networks
(2023)
This paper presents a systematic approach for solving complex prediction problems with a focus on energy efficiency. The approach involves using neural networks, specifically recurrent and sequential networks, as the main ...
SoftVein-WELM: a weighted extreme learning machine model for soft biometrics on palm vein images
(2023)
Contactless biometric technologies such as palm vein recognition have gained more relevance in the present and immediate future due to the COVID-19 pandemic. Since certain soft biometrics like gender and age can generate ...
Detection of obfuscated malware by engineering memory functions applying ELM
(2023)
Memory analysis is critical to detecting malicious processes, as it can capture various characteristics and behaviors. However, although it is a field in full research, there are still some major obstacles in malware ...
Extreme learning machines as equalizers on optical OFDM systems
(2023)
Optical Fiber Radio (RoF) systems based on OFDM meet the needs of high transmission and reception speeds, as well as offering greater reliability in the system. These systems are exposed to various disturbances, such as ...
Evaluation of extreme learning machines for detecting heart diseases
(2023)
Currently, cardiovascular diseases are the leading cause of human death according to the World Health Organization. Their prediction allows doctors to indicate preventive measures to their patients and perform procedures ...
Extreme learning machines for detecting the water quality for human consumption
(2023)
Determining the potability of water for consumption is crucial for human health. To assess the water quality, levels of minerals and ions are measured, such as pH, hardness, sodium, chloramines, sulfate, conductivity, ...