Results 11 to 20 of about 66,543 (120)

A new local structural similarity fusion-based thresholding method for homomorphic ultrasound image despeckling in NSCT domain

Journal of King Saud University: Computer and Information Sciences, 2023
Ultrasound is a diagnostic imaging technique to detect various illnesses related to the body's internal organs. It is a non-invasive, safe, cost-effective, and simple imaging modality that uses high-frequency sound waves and their reflection from ...
Prabhishek Singh, Manoj Diwakar, Vijendra Singh, Seifedine Kadry, Jungeun Kim   +4 more
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Implementation of stochastic signal processing algorithms in radar CAD

Российский технологический журнал, 2022
Objectives. In 2020, development work on the creation of a Russian computer-assisted design system for radars (radar CAD) was completed. Radar CAD provides extensive opportunities for creating simulation models for developing the hardware-software ...
M. Yu. Konopel'kin, S. V. Petrov, D. A. Smirnyagina   +2 more
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A RTL Implementation of Heterogeneous Machine Learning Network for French Computer Assisted Pronunciation Training

Applied Sciences, 2023
Computer-assisted pronunciation training (CAPT) is a helpful method for self-directed or long-distance foreign language learning. It greatly benefits from the progress, and of acoustic signal processing and artificial intelligence techniques. However, in
Yanjing Bi, Chao Li, Yannick Benezeth, Fan Yang   +3 more
doaj   +1 more source

Optimization of Music Feature Recognition System for Internet of Things Environment Based on Dynamic Time Regularization Algorithm

Complexity, 2021
Because of the difficulty of music feature recognition due to the complex and varied music theory knowledge influenced by music specialization, we designed a music feature recognition system based on Internet of Things (IoT) technology.
Hong Kai
doaj   +1 more source

ECG Signal Classification of Cardiovascular Disorder using CWT and DCNN [PDF]

Journal of Biomedical Physics and Engineering
Background: Cardiovascular Diseases (CVD) requires precise and efficient diagnostic tools. The manual analysis of Electrocardiograms (ECGs) is labor-intensive, necessitating the development of automated methods to enhance diagnostic accuracy and ...
Tawfikur Rahman, Rasel Ahommed, Nibedita Deb, Utpal Kanti Das, Md. Moniruzzaman, Md. Alamgir Bhuiyan, Farzana Sultana, Md. Kamruzzaman Kausar   +7 more
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An Experimental Approach on Beating in Vibration Due to Rotational Unbalance

Applied Sciences, 2020
This paper proposes a study in theoretical and experimental terms focused on the vibration beating phenomenon produced in particular circumstances: the addition of vibrations generated by two rotating unbalanced shafts placed inside a lathe headstock ...
Dragos-Florin Chitariu, Florin Negoescu, Mihaita Horodinca, Catalin-Gabriel Dumitras, Gures Dogan, Mehmet Ilhan   +5 more
doaj   +1 more source

Differences between normal and arrhythmic electrocardiograms using frequency analysis [PDF]

Revista Ciencias de la Salud, 2004
We report an advance of a research project basedon the hypothesis that electrocardiograms (ECG)are easier to interpret in the frequency domain than in the time domain. This paper is aimed tomedical personnel.
Raúl Narváez-Sánchez, Andrés Jaramillo Velásquez   +1 more
doaj  

A Real-Time Speech Separation Method Based on Camera and Microphone Array Sensors Fusion Approach

Sensors, 2020
In the context of assisted human, identifying and enhancing non-stationary speech targets speech in various noise environments, such as a cocktail party, is an important issue for real-time speech separation.
Ching-Feng Liu, Wei-Siang Ciou, Peng-Ting Chen, Yi-Chun Du   +3 more
doaj   +1 more source

A Computer-Based Method to Determine Predictive Potential of Distance-Spectral Descriptors for Measuring the π-Electronic Energy of Benzenoid Hydrocarbons With Applications

IEEE Access, 2021
Graph signal processing deals with signals whose domain, defined by a graph, is irregular. The total π-electron energy or simply the π-electronic energy, as calculated within the Hückel tight-binding molecular orbital approximation,
S. Hayat, S. Khan, A. Khan, M. Imran
doaj   +1 more source

Analysis on the risk of myasthenia gravis related to immune checkpoint inhibitors based on the US FDA Adverse Event Reporting System

Cancer Medicine, 2023
Objective To evaluate the risk of myasthenia gravis (MG) associated with immune checkpoint inhibitors (ICI). Methods Adverse event (AE) reports related to MG, myasthenic syndrome, and MG crisis for durvalumab, atezolizumab, pembrolizumab, nivolumab ...
Qingli Kong, Hui Wang, Xiaolei Ren, Yue Zhuo, Jing Peng   +4 more
doaj   +1 more source