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Found 11 papers, 4 papers with code
Implementing a Detection System for COVID-19 based on Lung Ultrasound Imaging and Deep Learning
To achieve large-scale control of this pandemic, fast tools for detection and treatment of patients are needed.
Detection of COVID-19 Disease using Deep Neural Networks with Ultrasound Imaging
The new coronavirus 2019 (COVID-2019) has rapidly become a pandemic and has had a devastating effect on both everyday life, public health and the global economy.
Prediction of Tuberculosis using U-Net and segmentation techniques
One of the most serious public health problems in Peru and worldwide is Tuberculosis (TB), which is produced by a bacterium known as Mycobacterium tuberculosis.
Automatic semantic segmentation for prediction of tuberculosis using lens-free microscopy images
Tuberculosis (TB), caused by a germ called Mycobacterium tuberculosis, is one of the most serious public health problems in Peru and the world.
Using Capsule Neural Network to predict Tuberculosis in lens-free microscopic images
Tuberculosis, caused by a bacteria called Mycobacterium tuberculosis, is one of the most serious public health problems worldwide.
Implementation of an Indoor Location System for Mobile-Based Museum Guidance
In this work we proposed an indoor location system that makes use of a mobile phone and WiFi signal levels to determine the location of a person in the museum “Eduardo de Habich” at the Universidad Nacional de Ingeniería, Peru.
Development of a hand gesture based control interface using Deep Learning
This paper describes the implementation of a control system based on ten different hand gestures, providing a useful approach for the implementation of better user-friendly human-machine interfaces.
Prediction of gaze direction using Convolutional Neural Networks for Autism diagnosis
Autism is a developmental disorder that affects social interaction and communication of children.
Portable system for the prediction of anemia based on the ocular conjunctiva using Artificial Intelligence
Anemia is a major health burden worldwide.
Development of a hand pose recognition system on an embedded computer using Artificial Intelligence
The recognition of hand gestures is a very interesting research topic due to the growing demand in recent years in robotics, virtual reality, autonomous driving systems, human-machine interfaces and in other new technologies.
Implementation of a WiFi-based indoor location system on a mobile device for a university area
This paper describes the implementation of an indoor location system on a mobile phone for the Faculty of Electrical, Electronic and Telecomunications at the Universidad Nacional de Ingeniería, Peru.
