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Risk prediction of early decline in renal function in diabetic kidney disease with algorithm including fractional excretion of glycated amino acids
(
Qatar University Press
, 2021 , Poster)
Background and aims: Diabetic kidney disease occurs in ca. 40% patients with diabetes. Approximately 1 in 5 patients with type 1 diabetes mellitus (T1DM) and 1 in 3 patients with type 2 diabetes mellitus (T2DM) develop ...
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 ...
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 ...
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 ...
Fast, Reliable, and Secure Drone Communication: A Comprehensive Survey
(
Institute of Electrical and Electronics Engineers Inc.
, 2021 , Article)
Drone security is currently a major topic of discussion among researchers and industrialists. Although there are multiple applications of drones, if the security challenges are not anticipated and required architectural ...
A Review on the Role of Machine Learning in Enabling IoT Based Healthcare Applications
(
Institute of Electrical and Electronics Engineers Inc.
, 2021 , Article)
The Internet of Things (IoT) is playing a vital role in the rapid automation of the healthcare sector. The branch of IoT dedicated towards medical science is at times termed as Healthcare Internet of Things (H-IoT). The ...
Reinforcement Learning Based EV Charging Management Systems-A Review
(
IEEE
, 2021 , Article)
To mitigate global warming and energy shortage, integration of renewable energy generation sources, energy storage systems, and plug-in electric vehicles (PEVs) have been introduced in recent years. The application of ...