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Time-series forecasting of Bitcoin prices using high-dimensional features: a machine learning approach
(
Springer
, 2020 , Article)
© 2020, Springer-Verlag London Ltd., part of Springer Nature. Bitcoin is a decentralized cryptocurrency, which is a type of digital asset that provides the basis for peer-to-peer financial transactions based on blockchain ...
An Early Warning Tool for Predicting Mortality Risk of COVID-19 Patients Using Machine Learning
(
Springer
, 2021 , Article)
COVID-19 pandemic has created an extreme pressure on the global healthcare services. Fast, reliable, and early clinical assessment of the severity of the disease can help in allocating and prioritizing resources to reduce ...
Machine Learning Application for Optimizing Asymmetrical Reduction of Acetophenone Employing Complete Cell of Lactobacillus Senmaizuke as an Environmentally Friendly Approach
(
Hysen MANKOLLI, Earth System Science Interdisciplinary Center (ESSIC)
, 2020 , Article)
Recently, optimization of the bioreduction reactions by optimization methodologies has gained special interest as these reactions are affected by several extrinsic factors that should be optimized for higher yields. An ...
Segmenting Liver Volume for Surgical Analysis
(
Qatar University Press
, 2021 , Poster)
Introduction: Almost two million people worldwide die annually due to hepatic-related diseases. Half of these diseases are attributed to cirrhosis and the other half are related to hepatitis and hepatocellular carcinoma ...
Artificial Intelligence in Predicting Heart Failure
(
Qatar University Press
, 2021 , Poster)
Heart Failure is a major chronic disease that is increasing day by day and a great health burden in health care systems world wide. Artificial intelligence (AI) techniques such as machine learning (ML), deep learning (DL), ...
Simulation and impact analysis of behavioral and socioeconomic dimensions of energy consumption
(
Elsevier
, 2022 , Article)
Human-oriented factors present unavoidable challenges and uncertainties in building energy strategic planning. The uncertainties escalate when the target society is not fully known to the decision-maker and can create ...
Auto-nahl: A neural network approach for condition-based maintenance of complex industrial systems
(
Institute of Electrical and Electronics Engineers Inc.
, 2021 , Article)
Nowadays, machine learning has emerged as a promising alternative for condition monitoring of industrial processes, making it indispensable for maintenance planning. Such a learning model is able to assess health states ...
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 ...
Cybersecurity for industrial control systems: A survey
(
Elsevier Ltd
, 2020 , Article Review)
Industrial Control System (ICS) is a general term that includes supervisory control & data acquisition (SCADA) systems, distributed control systems (DCS), and other control system configurations such as programmable logic ...
Smart Edge Healthcare Data Sharing System
(
Institute of Electrical and Electronics Engineers Inc.
, 2020 , Conference Paper)
Smart health systems improve the efficiency of healthcare infrastructures and biomedical systems by integrating information and technology into health and medical practices. However, reliability, scalabilty and latency are ...