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Stochastic linear programming for optimal planning of battery storage systems under unbalanced-uncertain conditions
(
State Grid Electric Power Research Institute
, 2020 , Article)
Battery energy storage system (BESS) has already been studied to deal with uncertain parameters of the electrical systems such as loads and renewable energies. However, the BESS have not been properly studied under unbalanced ...
Automated quantification of penile curvature using artificial intelligence
(
Frontiers Media S.A.
, 2022 , Article)
Objective: To develop and validate an artificial intelligence (AI)-based algorithm for capturing automated measurements of Penile curvature (PC) based on 2-dimensional images.
Materials and methods: Nine 3D-printed ...
Impact of COVID-19 Pandemic on Qatar Electricity Demand and Load Forecasting: Preparedness of Distribution Networks for Emerging Situations
(
MDPI
, 2022 , Article)
The COVID-19 pandemic has brought several global challenges, one of which is meeting the electricity demand. Millions of people are confined to their homes, in each of which a reliable electricity supply is needed, to ...
Synthesis and characterization of Mg-Zn ferrite based flexible microwave composites and its application as SNG metamaterial
(
Nature Research
, 2021 , Article)
In this article, we propose SNG (single negative) metamaterial fabricated on Mg-Zn ferrite-based flexible microwave composites. Firstly, the flexible composites are synthesized by the sol-gel method having four different ...
Incorporating patient concerns into design requirements for IoMT-based systems: The fall detection case study
(
SAGE Publications Ltd
, 2021 , Article)
Internet of Medical Things (IoMT) systems are envisioned to provide high-quality healthcare services to patients in the comfort of their home, utilizing cutting-edge Internet of Things (IoT) technologies and medical sensors. ...
Performance analysis of conventional machine learning algorithms for diabetic sensorimotor polyneuropathy severity classification
(
MDPI
, 2021 , Article)
Background: Diabetic peripheral neuropathy (DSPN), a major form of diabetic neuropathy, is a complication that arises in long-term diabetic patients. Even though the application of machine learning (ML) in disease diagnosis ...
Environmentally Powered Smart Sensor Nodes in a Mesh Network Topology for Air Quality Diagnostic
(
Hamad bin Khalifa University Press (HBKU Press)
, 2016 , Conference Paper)
Background & Objective: Air pollution is a major problem that has been recognised throughout the world for hundreds of years. In the middle ages, the burning of coal in cities released increasing amounts of smoke and sulphur ...
Household Electricity Consumer Classification Using Novel Clustering Approach, Review, and Case Study
(
MDPI
, 2022 , Article)
There is an increasing demand for electricity on a global level. Thus, the utility companies are looking for the effective implementation of demand response management (DRM). For this, utility companies should know the ...
Automatic and Reliable Leaf Disease Detection Using Deep Learning Techniques
(
MDPI
, 2021 , Article)
Plants are a major source of food for the world population. Plant diseases contribute to production loss, which can be tackled with continuous monitoring. Manual plant disease monitoring is both laborious and error-prone. ...
COV-ECGNET: COVID-19 detection using ECG trace images with deep convolutional neural network
(
Springer Science and Business Media Deutschland GmbH
, 2022 , Article)
The reliable and rapid identification of the COVID-19 has become crucial to prevent the rapid spread of the disease, ease lockdown restrictions and reduce pressure on public health infrastructures. Recently, several methods ...