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A robust experimental-based artificial neural network approach for photovoltaic maximum power point identification considering electrical, thermal and meteorological impact
(
Elsevier
, 2020 , Article)
This paper aims to develop a robust and practical photovoltaic (PV) Maximum Power Point (MPP) identification tool developed using reliable experimental data sets. The correlations between the voltage and the current (Vmp ...
Property ownership and the legal personhood of artificial intelligence
(
Taylor and Francis
, 2021 , Article)
© 2020 The Author(s). Published by Informa UK Limited, trading as Taylor & Francis Group. This paper adds to the discussion on the legal personhood of artificial intelligence by focusing on one area not covered by previous ...
Power conversion techniques using multi-phase transformer: Configurations, applications, issues and recommendations
(
MDPI
, 2022 , Article)
Recently, the superiority of multi-phase systems in comparison to three-phase energy systems has been demonstrated with regards to power generation, transmission, distribution, and utilization in particular. Generally, two ...
Conceptualization of Artificial Intelligence in Airway Management
(
Hamad bin Khalifa University Press (HBKU Press)
, 2022 , Article)
Background: Failed intubation is the single most important cause of patient morbidity and mortality during anesthesia for surgery. The incidence of difficult intubation could be as high as 12% while failed intubation is ...
TRUST XAI: Model-Agnostic Explanations for AI With a Case Study on IIoT Security
(
Institute of Electrical and Electronics Engineers Inc.
, 2021 , Article)
Despite AI’s significant growth, its “black box" nature creates challenges in generating adequate trust. Thus, it is seldom utilized as a standalone unit in IoT high-risk applications, such as critical ...
Can AI Help in Screening Viral and COVID-19 Pneumonia?
(
Institute of Electrical and Electronics Engineers Inc.
, 2020 , Article)
Coronavirus disease (COVID-19) is a pandemic disease, which has already caused thousands of causalities and infected several millions of people worldwide. Any technological tool enabling rapid screening of the COVID-19 ...
Automatic signal abnormality detection using time-frequency features and machine learning: A newborn EEG seizure case study
(
Elsevier B.V.
, 2016 , Article)
Time-frequency (TF) based machine learning methodologies can improve the design of classification systems for non-stationary signals. Using selected TF distributions (TFDs), TF feature extraction is performed on multi-channel ...
Accuracy of artificial intelligence-assisted detection of Oral Squamous Cell Carcinoma: A systematic review and meta-analysis
(
Elsevier
, 2022 , Article)
Oral Squamous Cell Carcinoma (OSCC) is an aggressive tumor with a poor prognosis. Accurate and timely diagnosis is therefore essential for reducing the burden of advanced disease and improving outcomes. In this meta-analysis, ...
Pervasive AI for IoT applications: A Survey on Resource-efficient Distributed Artificial Intelligence
(
Institute of Electrical and Electronics Engineers Inc.
, 2022 , Article)
Artificial intelligence (AI) has witnessed a substantial breakthrough in a variety of Internet of Things (IoT) applications and services, spanning from recommendation systems and speech processing applications to robotics ...
A Communication Framework with Unified Efficiency and Secrecy
(
Institute of Electrical and Electronics Engineers Inc.
, 2019 , Article)
Future wireless networks are confronted with the pressure to meet the requirements of network efficiency and communication secrecy, which require a new communication framework to unify and jointly optimize efficiency and ...