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Load shedding and forecasting in distribution systems with PV-based distributed generation and electric vehicles
(
Institute of Electrical and Electronics Engineers Inc.
, 2017 , Conference Paper)
The aim of the paper is to investigate the load shedding and forecasting in distribution networks with PV-based Distributed Generation (DG) and Plug-in Electric Vehicles (PEVs). Advancement in technology, especially in the ...
Experimental characterization of a tactile sensor for surgical applications
(
Institute of Electrical and Electronics Engineers Inc.
, 2018 , Conference Paper)
© 2018 IEEE. This paper presents an improved piezoelectric sensor fabricated using reduced graphene oxide (rGO)-filled polydimethylsiloxane (PDMS) elastomer composite that is able to sense the linear force applied onto its ...
Exploring the effect of image enhancement techniques on COVID-19 detection using chest X-ray images
(
Elsevier
, 2021 , Article)
Computer-aided diagnosis for the reliable and fast detection of coronavirus disease (COVID-19) has become a necessity to prevent the spread of the virus during the pandemic to ease the burden on the healthcare system. Chest ...
The simultaneous impact of EV charging and PV inverter reactive power on the hosting distribution system's performance: A case study in kuwait
(
MDPI AG
, 2020 , Article)
Recently, electric vehicles (EVs) have become an increasingly important topic in the field of sustainable transportation research, alongside distributed generation, reactive power compensation, charging optimization, and ...
Blind ECG Restoration by Operational Cycle-GANs
(
IEEE Computer Society
, 2022 , Article)
Objective: ECG recordings often suffer from a set of artifacts with varying types, severities, and durations, and this makes an accurate diagnosis by machines or medical doctors difficult and unreliable. Numerous studies ...
Robust Peak Detection for Holter ECGs by Self-Organized Operational Neural Networks
(
Institute of Electrical and Electronics Engineers Inc.
, 2022 , Article)
Although numerous R-peak detectors have been proposed in the literature, their robustness and performance levels may significantly deteriorate in low-quality and noisy signals acquired from mobile electrocardiogram (ECG) ...
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, ...
QUCoughScope: An Intelligent Application to Detect COVID-19 Patients Using Cough and Breath Sounds
(
MDPI
, 2022 , Article)
Problem-Since the outbreak of the COVID-19 pandemic, mass testing has become essential to reduce the spread of the virus. Several recent studies suggest that a significant number of COVID-19 patients display no physical ...