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Smart Cities from the Perspective of Systems
(
MDPI
, 2022 , Article)
Modern cities are complex adaptive systems in which there is a lot of dependency and interaction between the various stakeholders, components, and subsystems. The use of digital Information and Communications Technology ...
Efficient Quantum Image Classification Using Single Qubit Encoding
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Institute of Electrical and Electronics Engineers Inc.
, 2022 , Article)
The domain of image classification has been seen to be dominated by high-performing deep-learning (DL) architectures. However, the success of this field, as seen over the past decade, has resulted in the complexity of ...
A novel gateway-based solution for remote elderly monitoring
(
Elsevier
, 2020 , Article)
Internet of Things (IoT) technologies have been applied to various fields such as manufacturing, automobile industry and healthcare. IoT-based healthcare has a significant impact on real-time remote monitoring of patients' ...
Designing a reference architecture for health information systems
(
BioMed Central Ltd
, 2021 , Article)
Background: Healthcare relies on health information systems (HISs) to support the care and receive reimbursement for the care provided. Healthcare providers experience many problems with their HISs due to improper architecture ...
COVID-19 Optimizer Algorithm, Modeling and Controlling of Coronavirus Distribution Process
(
Institute of Electrical and Electronics Engineers Inc.
, 2020 , Article)
The emergence of novel COVID-19 is causing an overload on public health sector and a high fatality rate. The key priority is to contain the epidemic and reduce the infection rate. It is imperative to stress on ensuring ...
A Multi-Channel Convolutional Neural Network approach to automate the citation screening process
(
Elsevier
, 2021 , Article)
The systematic literature review (SLR) process is separated into several steps to increase rigor and reproducibility. The selection of primary studies (i.e., citation screening) is an important step in the SLR process. The ...
Field data forecasting using lstm and bi-lstm approaches
(
MDPI
, 2021 , Article)
Water, an essential resource for crop production, is becoming increasingly scarce, while cropland continues to expand due to the world's population growth. Proper irrigation scheduling has been shown to help farmers improve ...
DL-CRC: Deep learning-based chest radiograph classification for covid-19 detection: A novel approach
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Institute of Electrical and Electronics Engineers Inc.
, 2020 , Article)
With the exponentially growing COVID-19 (coronavirus disease 2019) pandemic, clinicians continue to seek accurate and rapid diagnosis methods in addition to virus and antibody testing modalities. Because radiographs such ...
A study of children emotion and their performance while handwriting Arabic characters using a haptic device
(
Springer
, 2022 , Article)
Emotion and focus of children during handwriting are essential for language learning. Handwriting for young children is challenging because it needs deep motivation and willingness to complete the task regardless of its ...
Highly sensitive and selective colorimetric sensing of CO2 for biomedical applications
(
Springer Science and Business Media Deutschland GmbH
, 2022 , Article)
The concentration of carbon dioxide (CO2) in unhealthy people differs greatly from healthy people. High-precision CO2 detection with a quick response time is essential for many biomedical applications. A major focus of ...