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Multi-channel target speech enhancement using labeled random finite sets and deep learning under reverberant environments
(2023)
We proposed a multi-channel speech enhancement procedure under reverberant conditions with acoustic source tracking and beamforming. A deep learning algorithm was applied to improve the construction of a measurement set ...
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 ...
A new Internet of things hybrid VLC/RF System for m-Health in an underground mining industry
(2024)
This paper proposes a new system based on the Industrial Internet of Things (IIoT) for
the monitoring of Mobile Health (m-Health) of workers in the underground mining industry. The
proposed architecture uses a hybrid ...
Multi-task extreme learning machine for palm vein multiclassification
(2023)
Using biometric systems for individual identification is an alternative that provides excellent data security since this technology uses unique and distinctive information about a person. Palm vein recognition has been ...
Extreme learning machines for predict the diamond price range
(2023)
Gemstones, such as diamonds, are used in various applications, from jewelry to technology, where they have recently been considered as semiconductor materials. However, the value of diamonds is difficult to measure due to ...
Extreme learning machine for iris-based diabetes detection
(2023)
This study proposes a methodology for iris-based diabetes detection in 130 subjects, in which geometric transformations and changes in brightness and contrast were applied to increase to 1300 images, and a selection of 10% ...
Development of an Aviat antenna calibration device to improve communications efficiency
(2023)
This research article presents the development of an innovative device designed to precisely calibrate Aviat antennas, with a specific focus on the ODU 600 model. The article's introduction emphasizes the necessity for ...