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Now showing items 11-20 of 65
Predicting carbonate formation permeability using machine learning
(
Elsevier B.V.
, 2020 , Article)
It is imperative to characterize the formation permeability to simulate the flow behavior at subsurface conditions. An accurate characterization at the core scale is possible when large samples are available, but often ...
Self-organized Operational Neural Networks with Generative Neurons
(
Elsevier Ltd
, 2021 , Article)
Operational Neural Networks (ONNs) have recently been proposed to address the well-known limitations and drawbacks of conventional Convolutional Neural Networks (CNNs) such as network homogeneity with the sole linear neuron ...
Mortality prediction utilizing blood biomarkers to predict the severity of COVID-19 using machine learning technique
(
MDPI
, 2021 , Article)
Healthcare researchers have been working on mortality prediction for COVID-19 patients with differing levels of severity. A rapid and reliable clinical evaluation of disease intensity will assist in the allocation and ...
Long-term performance analysis and power prediction of PV technology in the State of Qatar
(
Elsevier Ltd
, 2017 , Article)
?Solar photovoltaic (PV) energy in GCC?- the term seems convincing to many solar PV industries due to high solar exposure in GCC region. However, long-term effects such as dust accumulation and seasonal variation are major ...
Osseointegration Pharmacology: A Systematic Mapping Using Artificial Intelligence
(
Acta Materialia Inc
, 2021 , Article)
Clinical performance of osseointegrated implants could be compromised by the medications taken by patients. The effect of a specific medication on osseointegration can be easily investigated using traditional systematic ...
DeepAutoD: Research on Distributed Machine Learning Oriented Scalable Mobile Communication Security Unpacking System
(
IEEE Computer Society
, 2022 , Article)
The rapid growth of Android smart phones and abundant applications (Apps), a new security solution for distributed computing and mobile communications, has prompted many enhanced vendors to use different methods to effectively ...
Digital Twin for Intelligent Context-Aware IoT Healthcare Systems
(
Institute of Electrical and Electronics Engineers Inc.
, 2021 , Article)
Since the emergence of digital and smart healthcare, the world has hastened to apply various technologies in this field to promote better health operation and patients' well being, increase life expectancy, and reduce ...
Expatriates' Housing Dispersal Outlook in a Rapidly Developing Metropolis Based on Urban Growth Predicted Using a Machine Learning Algorithm
(
Routledge
, 2021 , Article)
Housing dispersal in emerging cities should be investigated as it occurs to achieve a better understanding of future housing dispersal. In this study, housing preferences are analyzed in Doha Metropolitan Area based on ...
Federated Learning Meets Human Emotions: A Decentralized Framework for Human-Computer Interaction for IoT Applications
(
IEEE Internet of Things Journal
, 2021 , Article)
As stated by Spock, 'change is the essential process of all existence,' which is reflected in everyday applications in our daily lives. We, as humans, just need to find a way to make the best use of the current technological ...
Positive sentiments as coping mechanisms and path to resilience: the case of Qatar blockade
(
Taylor & Francis
, 2020 , Article)
Existing research on coping accentuates the role of positive emotions as defensive mechanisms to cope with stressful situations and the ensuing negative emotions. The same literature justifies the long-term effects of ...