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Brain Tumor Segmentation and Classification from Sensor-Based Portable Microwave Brain Imaging System Using Lightweight Deep Learning Models
(
MDPI
, 2023 , Article)
Automated brain tumor segmentation from reconstructed microwave (RMW) brain images and image classification is essential for the investigation and monitoring of the progression of brain disease. The manual detection, ...
Global ECG Classification by Self-Operational Neural Networks with Feature Injection
(
IEEE Computer Society
, 2023 , Article)
Objective: Global (inter-patient) ECG classification for arrhythmia detection over Electrocardiogram (ECG) signal is a challenging task for both humans and machines. Automating this process with utmost accuracy is, therefore, ...
Powerline interference suppression of a textile-insulated capacitive biomedical sensor using digital filters
(
Elsevier
, 2023 , Article)
This research evaluated a textile-insulated capacitive (TEX-C) biomedical sensor insulated by six types of textile materials namely cotton, linen, rayon, nylon, polyester, and PVC-textile. Each textile material creates a ...
Real-Time and Web-Based Structural Damage Detection Network for Multiple Structures
(
Springer
, 2023 , Conference Paper)
A structural damage detection system specifically designed to monitor multiple structures at a network level is introduced in this paper. Such a monitoring system improves resiliency and helps manage the operation and ...
Classification of SAR Images Using Compact Convolutional Neural Networks
(
Springer
, 2022 , Book chapter)
Classification of SAR images has been an interesting task considering its major role in environmental and natural research areas. Existing studies proposed for Land use/land cover (LU/LC) classification using SAR data can ...
Early Myocardial Infarction Detection with One-Class Classification over Multi-view Echocardiography
(
IEEE Computer Society
, 2022 , Conference Paper)
Myocardial infarction (MI) is the leading cause of mortaZity and morbidity in the world. Early therapeutics of MI can ensure the prevention of further myocardial necrosis. Echocardiography is the fundamental imaging technique ...
Improved Domain Adaptation Approach for Bearing Fault Diagnosis
(
IEEE Computer Society
, 2022 , Conference Paper)
Application of domain adaptation techniques to predictive maintenance of modern electric rotating machinery (RM) has significant potential with the goal of transferring or adaptation of a fault diagnosis model developed ...
SRL-SOA: SELF-REPRESENTATION LEARNING WITH SPARSE 1D-OPERATIONAL AUTOENCODER FOR HYPERSPECTRAL IMAGE BAND SELECTION
(
IEEE Computer Society
, 2022 , Conference Paper)
The band selection in the hyperspectral image (HSI) data processing is an important task considering its effect on the computational complexity and accuracy. In this work, we propose a novel framework for the band selection ...
A Single Inductor, Single Switch High Gain DC-DC Boost Converter
(
IEEE
, 2020 , Conference Paper)
Switched capacitor-based voltage multiplier cell (VMC) is generally employed to increase the output voltage of the dc-dc converter. The proposed converter is a new high gain dc-dc boost converter which utilizes only a ...
LPPDA: A Light-Weight Privacy-Preserving Data Aggregation Protocol for Smart Grids
(
IEEE Explore
, 2023 , Article)
Smart meters are continuously being deployed in several countries as a step in the direction of modernizing the power grid. Smart meters allow for automatic electricity consumption reporting to energy providers to facilitate ...