Browsing by Subject "Convolutional Neural Networks"
Now showing items 1-7 of 7
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Counting the number of objects from images has become an increasingly important topic in different applications, such as crowd counting, cell microscopy image analyses in biomedical imaging, and horticulture monitoring and ...
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(2019-11-21)Estimating density maps and counting the number of objects of interest from images has a wide range of applications, such as crowd counting, traffic monitoring, cell microscopy in biomedical imaging, plant counting in ...
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While manual probing is the gold standard for periodontal assessments, it can be time consuming. Patients can be wrongfully classified due to an inconsistency between examiners, the amount of time a clinician is given for ...
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Neural Architecture Search has led to the discovery of novel neural network architectures that are capable of outperforming expertly designed architectures with fewer resource requirements at deployment time. This has lead ...
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(2019-11-04)Autonomous Vehicles has been a topic which has been highly researched in recent times. The number of vehicles with Autonomous capabilities, specifically Advanced Driver Assistance Systems (ADAS) has been increasing in the ...
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Autonomous driving is an important field of research, especially now since the world is moving away from gas-operated vehicles, and towards electric vehicles. Since the operation of these vehicles heavily depends on the ...
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(2023-05-11)The number and intensity of flood events have been on the rise in many regions of the world. In some parts of the U.S., residential properties, transportation networks, and major infrastructure are at risk of failure caused ...