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A Systematic Review of Tools Available in the Field of Augmented Reality
Augmented Reality interfaces have been extensively researched throughout the past few decades, with many user studies being conducted. This paper examines the landscape of research on augmented reality. We summarise the overall...
A Hybridized Deep Learning Strategy for Course Recommendation
Recommender systems have been actively used in many areas like e-commerce, movie and video suggestions, and have proven to be highly useful for its users. But the use of recommender systems in online learning platforms is often...
Modelling the impact of lockdown-easing measures on cumulative COVID-19 cases and deaths in England.
OBJECTIVES: To assess the potential impacts of successive lockdown-easing measures in England, at a point in the COVID-19 pandemic when community transmission levels were relatively high. DESIGN: We developed a Bayesian model to...
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Modelling the impact of lockdown-easing measures on cumulative COVID-19 cases and deaths in England
Objectives: To assess the potential impacts of successive lockdown-easing measures in England, at a point in the COVID-19 pandemic when community transmission levels were relatively high. Design: We developed a Bayesian model to...
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ML-EC2
A multi-label variant of email classification named ML-EC2 (multi-label email classification using clustering) has been proposed in this work. ML-EC2 is a hybrid algorithm based on text clustering, text classification...
Diphtheria.
Diphtheria is a potentially fatal infection mostly caused by toxigenic Corynebacterium diphtheriae strains and occasionally by toxigenic C. ulcerans and C. pseudotuberculosis strains. Diphtheria is generally an acute respiratory...
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A Conceptual Study on Employer Perception towards Hiring Employee with Online Degree/Certification
Higher education is enduring a transition across the world. This transition leads to the introduction of technology into the education system and provides opportunities to pursue a degree through online participation. According...
Evaluation of a Concept Mapping Task Using Named Entity Recognition and Normalization in Unstructured Clinical Text.
In this pilot study, we explore the feasibility and accuracy of using a query in a commercial natural language processing engine in a named entity recognition and normalization task to extract a wide spectrum of clinical...
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A Conceptual Study on Employer Perception towards Hiring Employee with Online Degree/Certification
Higher education is enduring a transition across the world. This transition leads to the introduction of technology into the education system and provides opportunities to pursue a degree through online participation. According...
Turbulence Intensity and Length Scale Effects on Premixed Turbulent Flame Propagation
S Trivedi, RS Cant
May 23, 2022
The effects of varying turbulence intensity and turbulence length scale on premixed turbulent flame propagation are investigated using Direct Numerical Simulation (DNS). The DNS dataset contains the results of a set of turbulent...
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Estimates of the stochasticity of droplet dispersion by a cough.
In this paper, the statistical distributions of the position and the size of the evaporating droplets after a cough are evaluated, thus characterizing the inherent stochasticity of respiratory releases due to turbulence. For...
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Estimates of the stochasticity of droplet dispersion by a cough.
In this paper, the statistical distributions of the position and the size of the evaporating droplets after a cough are evaluated, thus characterizing the inherent stochasticity of respiratory releases due to turbulence. For...
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A Novel Trust Model for Secure Group Communication in Distributed Computing
Distributed networks are networks in which each node can act as a server or client and hence any node can provide service to any other node. In such a scenario, establishing a trust model between the service providing user and...
Evaluation of a Concept Mapping Task Using Named Entity Recognition and Normalization in Unstructured Clinical Text
Abstract: In this pilot study, we explore the feasibility and accuracy of using a query in a commercial natural language processing engine in a named entity recognition and normalization task to extract a wide spectrum of...
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Methodological shortcomings in the literature evaluating the role and applications of 3D training for surgical trainees.
AIM: There has been an increased interest in the use of three-dimensional (3D) technology in surgical training. We wish to appraise the methodological rigor applied to evaluating the role and applications of 3D technology in...
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Design and fabrication of enhanced lateral growth for dislocation reduction in GaN using nanodashes
The semiconductor gallium nitride is the material at the centre of energy-efficient solid-state lighting and is becoming increasingly important in high-power and high-frequency electronics. Reducing the dislocation density of...
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