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The Effect of Flow Rate and Electrostatic Charge on Aerosol Deposition in a Realistic Lung Geometry
(Springer International Publishing, 2018)
To be able to predict the fate of therapeutic or pollutant xenobiotic inhaled particles in the human lungs, we need to understand the nature of airflow as it occurs throughout the entire respiratory tract.
Classification of Inhaled Medicines: Development of an Inhalation-based Biopharmaceutical Classification System
(Aerosol Society, UK, 2019)
Number size distribution of particles dosed by MDI and DPI inhalers
(2018)
The purpose of this research was to determine the influence of inspiratory flow rate and relative humidity on particle size distributions (PSDs) generated by three MDI inhalers (Flutiform, Fullhale and Ventolin) and one ...
Reliability-Aware Task Allocation Latency Optimization in Edge Computing
(2019)
Nowadays notable computing is shifted away from the cloud and performed onto the Internet of Things (IoT) devices. This necessity emerges due to the growing needs not only for real-time decision support but also for real-time ...
EdgeNet: Balancing Accuracy and Performance for Edge-based Convolutional Neural Network Object Detectors
(ACM, 2019)
Visual intelligence at the edge is becoming a growing necessity for low latency applications and situations where real-time decision is vital. Object detection, the first step in visual data analytics, has enjoyed significant ...
DroNet: Efficient convolutional neural network detector for real-time UAV applications
(2018)
Unmanned Aerial Vehicles (drones) are emerging as a promising technology for both environmental and infrastructure monitoring, with broad use in a plethora of applications. Many such applications require the use of computer ...