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Mostrando publicaciones 51-60 de 66
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, ...
Traffic sign detection and recognition using YOLO object detection algorithm: A systematic review
(2024)
Context: YOLO (You Look Only Once) is an algorithm based on deep neural networks with real-time object detection capabilities. This state-of-the-art technology is widely available, mainly due to its speed and precision. ...
On the performance of MIMO-VLC techniques in underground mining environments
(2023)
Underground mining visible light communication (UM-VLC) is a promising solution to ensure the well-being of workers and facilitate their work. However, underground conditions present a significant divergence from widely ...
Speaker counting by scattered microphone array based on DOA and eigenvalue estimations in adverse environments
(2023)
In this paper, a smart subband system for speaker counting is proposed by scattered microphone array (SMA) and using direction of arrival (DOA) estimation with adaptive eigenvalue decomposition (AED). Firstly, the recorded ...
Detection of epileptic seizures by analysis of electroencephalogram based on Wavelet transform
(2023)
In recent years, some novel methods have been developed for the detection of diseases based on biomedical signals. In this article, a method for the automated detection of epilepsy seizures is presented by analyzing ...