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Now showing items 15404-15423 of 50620
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Machine learning for cybersecurity in smart grids: A comprehensive review-based study on methods, solutions, and prospects
( Elsevier B.V. , 2022 , Article Review)In modern Smart Grids (SGs) ruled by advanced computing and networking technologies, condition monitoring relies on secure cyberphysical connectivity. Due to this connection, a portion of transported data, containing ... -
Machine learning for prediction of the uniaxial compressive strength within carbonate rocks
( Springer Science and Business Media Deutschland GmbH , 2023 , Article)The Uniaxial Compressive Strength (UCS) is an essential parameter in various fields (e.g., civil engineering, geotechnical engineering, mechanical engineering, and material sciences). Indeed, the determination of UCS in ... -
Machine learning for the security of healthcare systems based on Internet of Things and edge computing
( Elsevier , 2022 , Book chapter)Using the Internet of Medical Things (IoMT) for treatment and diagnosis has exponentially grown due to its diverse use cases and efficient planning with defined resources. IoMT in the e-healthcare system enables continuous ... -
Machine learning in hydrogen production
( Institution of Chemical Engineers , 2022 , Other)Global demand for clean fuels is growing due to pollution and global warming. Undoubtedly, hydrogen is one of the main options for producing clean energy, which has been receiving special attention for years and global ... -
Machine learning in the Internet of Things: Designed techniques for smart cities
( Elsevier B.V. , 2019 , Article)Machine learning is one of the emerging technologies that has grabbed the attention of academicians and industrialists, and is expected to evolve in the near future. Machine learning techniques are anticipated to provide ... -
Machine Learning Methods for Dysgraphia Screening with Online Handwriting Features
( Institute of Electrical and Electronics Engineers Inc. , 2022 , Conference Paper)Dysgraphia, a major learning disorder that primarily interferes with writing skills can hinder the academic track of children unless recognized in the early stage. The diversity in the symptoms, as well as the emergence ... -
A machine learning model for early detection of diabetic foot using thermogram images
( Elsevier , 2021 , Article)Diabetes foot ulceration (DFU) and amputation are a cause of significant morbidity. The prevention of DFU may be achieved by the identification of patients at risk of DFU and the institution of preventative measures through ... -
Machine Learning Prediction of Cancer from The Publicly Available Dataset
(2024 , Master Thesis)Prostate cancer in the second most common cause of cancer in men around the world and in Qatar with a high incidence rate worldwide. This has resulted in an increased mortality rate, making prostate cancer a healthcare ... -
MACHINE LEARNING PREDICTION OF DIABETES FROM A PUBLICLY AVAILABLE DATASET
(2024 , Professional Masters Project)A wide array of medical conditions necessitate invasive diagnostic techniques, with diabetes being one of the most well-known among them. To address this challenge, a predictive model was developed using a publicly available ... -
Machine Learning Screening of COVID-19 Patients Based on X-ray Images for Imbalanced Classes
( IEEE , 2021 , Conference Paper)COVID-19 is a virus that has infected more than one hundred and fifty million people and caused more than three million deaths by 13th of Mai 2021 and is having a catastrophic effect on the world population's safety. ... -
Machine learning screening of COVID-19 patients based on X-ray images for unbalanced classes
( Hamad bin Khalifa University Press (HBKU Press) , 2021 , Article)Background: COVID-19 is a pandemic that had already infected more than forty-six million people and caused more than a million deaths by 1st of November 2020. The virus pandemic appears to have had a catastrophic effect ... -
Machine Learning Techniques for Detecting Attackers during Quantum Key Distribution in IoT Networks with Application to Railway Scenarios
( Institute of Electrical and Electronics Engineers Inc. , 2021 , Article)Internet of Things (IoT) deployments face significant security challenges due to the limited energy and computational power of IoT devices. These challenges are more serious in the quantum communications era, where certain ... -
MACHINE LEARNING TECHNIQUES FOR MOTOR GEAR FAULT DETECTION AND DIAGNOSIS
(2022 , Master Thesis)Many industrial facilities, amongst others, are very sensitive to any sudden hazards that can be expensive and resource-costly; therefore, they should be monitored over the day. In this work, new Machine Learning (ML)-based ... -
Machine Learning Techniques for Network Anomaly Detection: A Survey
( IEEE , 2020 , Conference Paper)Nowadays, distributed data processing in cloud computing has gained increasing attention from many researchers. The intense transfer of data has made the network an attractive and vulnerable target for attackers to exploit ... -
Machine learning techniques for predicting depression and anxiety in pregnant and postpartum women during the COVID-19 pandemic: a cross-sectional regional study
( F1000Research , 2022 , Article)Background : Maternal depression and anxiety are significant public health concerns that play an important role in the health and well-being of mothers and children. The COVID-19 pandemic, the consequential lockdowns and ... -
Machine learning techniques for the identification of risk factors associated with food insecurity among adults in Arab countries during the COVID-19 pandemic
( Springer Nature , 2023 , Article)Background: A direct consequence of global warming, and strongly correlated with poor physical and mental health, food insecurity is a rising global concern associated with low dietary intake. The Coronavirus pandemic has ... -
Machine learning-based classification of healthy and impaired gaits using 3D-GRF signals
( Elsevier , 2023 , Article)Gait analysis is helpful for rehabilitation, clinical diagnoses, and sporting activities. Among the gathered signals, ground reaction forces (GRF) may be used for assisting doctors in recognizing and categorizing gait ... -
Machine Learning-Based Diabetic Neuropathy and Previous Foot Ulceration Patients Detection Using Electromyography and Ground Reaction Forces during Gait
( MDPI , 2022 , Article)Diabetic neuropathy (DN) is one of the prevalent forms of neuropathy that involves alterations in biomechanical changes in the human gait. Diabetic foot ulceration (DFU) is one of the pervasive types of complications that ... -
Machine learning-based management of electric vehicles charging: Towards highly-dispersed fast chargers
( MDPI AG , 2020 , Article)Coordinated charging of electric vehicles (EVs) improves the overall efficiency of the power grid as it avoids distribution system overloads, increases power quality, and decreases voltage fluctuations. Moreover, the ... -
Machine learning-based multi-target regression to effectively predict turning movements at signalized intersections
( Elsevier , 2022 , Article)Effective prediction of turning movement counts at intersections through efficient and accurate methods is essential and needed for various applications. Commonly predictive methods require extensive data collection, ...
