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Results: 44
Intelligent Fog Computing Surveillance System for Crime and Vulnerability Identification and Tracing
IoT devices generate enormous amounts of data, which deep learning algorithms can learn from more effectively than shallow learning algorithms. The approach for threat detection may ultimately benefit fog computing or fog...
TA-WHI
The healthcare data available on social media has exploded in recent years. The cures and treatments suggested by non-medical experts can lead to more damage than expected. Assuring the credibility of the information conveyed is...
Quantification of the plant terpenome
Plant essential oils are complex mixtures of volatile organic compounds, which play indispensable roles in communication, defense, and adaptive evolution. The complete chemical library produced by a plant is referred to as its...
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Acceleration of Deep Convolutional Neural Networks Using Adaptive Filter Pruning
While convolutional neural networks (CNNs) have achieved remarkable performance on various supervised and unsupervised learning tasks, they typically consist of a massive number of parameters. This results in significant memory...
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Generating a Mental Health Curve for Monitoring Depression in Real Time by Incorporating Multimodal Feature Analysis Through Social Media Interactions
The coronavirus pandemic has led to a dramatic increase in depression cases worldwide. Several people are utilizing social media to share their depression or suicidal thoughts. Thus, the major goal of the proposed study is to...
Torsion, torsion length and finitely presented groups
Maurice Chiodo, Rishi Vyas
Sep 20, 2018
Abstract We show that a construction by Aanderaa and Cohen used in their proof of the Higman Embedding Theorem preserves torsion length. We give a new construction showing that...
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Acceleration of Deep Convolutional Neural Networks Using Adaptive Filter Pruning
While convolutional neural networks (CNNs) have achieved remarkable performance on various supervised and unsupervised learning tasks, they typically consist of a massive number of parameters. This results in significant memory...
Published by:
COVID-19 Crisis
The COVID-19 pandemic has brought a tremendous impact on the pedagogy and learning experience of students in sub-degree education sector of Hong Kong. Online learning has become the “sole” solution to deal with student learning...
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Improving Operational Efficiency in Radiology Using Artificial Intelligence
New developments in information technology are revolutionizing healthcare operations by providing new ways to optimize operational efficiency and reduce costs. Among the methods are artificial intelligence, machine learning...
COVID-19 Crisis
The COVID-19 pandemic has brought a tremendous impact on the pedagogy and learning experience of students in sub-degree education sector of Hong Kong. Online learning has become the “sole” solution to deal with student learning...
Published by:
The Scanning TMR Microscope for Biosensor Applications.
We present a novel tunnel magnetoresistance (TMR) scanning microscope set-up capable of quantitatively imaging the magnetic stray field patterns of micron-sized elements in 3D. By incorporating an Anderson loop measurement...
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Impact of the announcement and implementation of the UK Soft Drinks Industry Levy on sugar content, price, product size and number of available soft drinks in the UK, 2015-19
BACKGROUND:Dietary sugar, especially in liquid form, increases risk of dental caries, adiposity, and type 2 diabetes. The United Kingdom Soft Drinks Industry Levy (SDIL) was announced in March 2016 and implemented in April 2018...
Published by: PLoS Medicine
Taxonomy on EEG Artifacts Removal Methods, Issues, and Healthcare Applications
Electroencephalogram (EEG) signals are progressively growing data widely known as biomedical big data, which is applied in biomedical and healthcare research. The measurement and processing of EEG signal result in the...

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