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Communication Network for Ultrasonic Acoustic Water Leakage Detectors
(IEEE, 2020-02-10)
Water leaks in the distribution network produce significant losses and cause serious economic inconvenience especially in areas with water shortage. In this paper, the operational aspects of the most popular offline detection ...
Enhancement of SAR Speckle Denoising Using the Improved Iterative Filter
(IEEE, 2020)
The recent advancement in synthetic aperture radar (SAR) technology has enabled high-resolution imaging capability that calls for efficient speckle filtering algorithms to preprocess radar imagery. Since the introduction ...
Polarimetric SAR Speckle Reduction by Hybrid Iterative Filtering
(IEEE, 2020)
Speckle filtering in synthetic aperture radar polarimetry (PolSAR) is essential for the extraction of significant information. In this study, the authors introduced a hybrid iterative filtering scheme. The proposed iterative ...
Polarimetric SAR Image Filtering by Infinite Number of Looks Prediction Technique
(IEEE, 2021)
Speckle filtering in synthetic aperture radar (SAR) and polarimetric SAR (PolSAR) images is indispensable before the extraction of the useful information. The minimum mean square error estimate of the filtered pixels ...
Non-Destructive Water Leak Detection Using Multitemporal Infrared Thermography
(IEEE, 2021)
Waterleakage detection and localization in distribution networks pipelines is a challenge for utility companies. For this purpose, thermal Infrared Radiation (IR) techniques have been widely applied in the literature. ...
Comprehensive Study of a Diabetes Mellitus Mathematical Model Using Numerical Methods with Stability and Parametric Analysis
(MDPI, 2023-01-04)
Diabetes is sweeping the world as a silent epidemic, posing a growing threat to public health. Modeling diabetes is an effective method to monitor the increasing prevalence of diabetes and develop cost-effective strategies ...
A Comparative Analysis of Numerical Methods for Solving the Leaky Fire and Integrate Model
(MDPI, 2023)
The human nervous system is one of the most complex systems of the human body. Understanding its behavior is crucial in drug discovery and developing medical devices. One approach to understanding such a system is to model ...