Browsing Research Units by Subject "Machine learning"
Now showing items 1-16 of 16
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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), ... -
Assessing the relation between mud components and rheology for loss circulation prevention using polymeric gels: A machine learning approach
( MDPI AG , 2021 , Article)The traditional way to mitigate loss circulation in drilling operations is to use preventative and curative materials. However, it is difficult to quantify the amount of materials from every possible combination to produce ... -
Blue collar laborers’ travel pattern recognition: Machine learning classifier approach
( Elsevier , 2021 , Article)This paper proposes a pattern recognition model to develop clusters of homogenous activities for blue-collar workers in the State of Qatar. The activity-based data from the travel diary of 1051 blue-collar workers collected ... -
Characterizing fracture toughness using machine learning
( Elsevier B.V. , 2021 , Article)The existing models for fracture toughness characterization based on nanoindentations that account for the fracture length are limited to simple (ideal) geometries that are absent in shales. The present study proposes two ... -
Computational applications using data driven modeling in process Systems: A review
( Elsevier Ltd , 2023 , Other)Modeling and optimization of various processes enable more efficient operations and better planning activities for new process developments. With recent advances in computing power, data driven models, such as Machine ... -
Detection and assessment of marine litter in an uninhabited island, Arabian Gulf: A case study with conventional and machine learning approaches
( Elsevier , 2022 , Article)In 2018, the Ministry of Municipality and Environment, Qatar removed 90 t of marine litter (ML) from the Ras Rakan Island (RRI), a remote uninhabited island in the Arabian Gulf (hereinafter referred to as Gulf). To identify ... -
Dynamic ensemble deep echo state network for significant wave height forecasting
( Elsevier Ltd , 2023 , Article)Forecasts of the wave heights can assist in the data-driven control of wave energy systems. However, the dynamic properties and extreme fluctuations of the historical observations pose challenges to the construction of ... -
Machine Learning Approach to Predict Metro Ridership based on Land Use Densities
( Qatar University Press , 2021 , Poster)Predicting metro ridership is an essential requirement for efficient metro operation and management. The dependence of metro ridership on the land use densities entails a need for an accurate predictive model. To this end, ... -
Modeling of forward osmosis process using artificial neural networks (ANN) to predict the permeate flux
( Elsevier , 2020 , Article)Artificial neural networks (ANN) are black box models that are becoming more popular than transport-based models due to their high accuracy and less computational time in predictions. The literature shows a lack of ANN ... -
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 ... -
Random vector functional link neural network based ensemble deep learning for short-term load forecasting
( Elsevier Ltd , 2022 , Article)Electric load forecasting is essential for the planning and maintenance of power systems. However, its un-stationary and non-linear properties impose significant difficulties in predicting future demand. This paper proposes ... -
A review of smart sensors coupled with Internet of Things and Artificial Intelligence approach for heart failure monitoring
( Springer Nature , 2021 , Article)Over the last decade, there has been a huge demand for health care technologies such as sensors-based prediction using digital health. With the continuous rise in the human population, these technologies showed to be ... -
Security concerns on machine learning solutions for 6G networks in mmWave beam prediction
( Elsevier B.V. , 2022 , Article)6G – sixth generation – is the latest cellular technology currently under development for wireless communication systems. In recent years, machine learning (ML) algorithms have been applied widely in various fields, such ... -
Unveiling the nexus between atmospheric visibility, remotely sensed pollutants, and climatic variables across diverse topographies: A data-driven exploration empowered by artificial intelligence
( Elsevier , 2024 , Article)Deteriorating visual range (VR) can cause challenges for the transportation sector, resulting in economic and life losses. Air pollutants, smoke, fog, and many meteorological parameters such as air temperature (T), relative ... -
Urban resilience and livability performance of European smart cities: A novel machine learning approach
( Elsevier , 2022 , Article)Smart cities are centres of economic opulence and hope for standardized living. Understanding the shades of urban resilience and livability in smart city models is of paramount importance. This study presents a novel ... -
What are artificial intelligence literacy and competency? A comprehensive framework to support them
( Elsevier , 2024 , Article)Artificial intelligence (AI) education in K–12 schools is a global initiative, yet planning and executing AI education is challenging. The major frameworks are focused on identifying content and technical knowledge (AI ...