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Dennis Núñez-Fernández

Dennis Núñez-Fernández
Université Paris Cité

MSc Student in Digital Sciences

About

23
Publications
6,100
Reads
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37
Citations

Publications

Publications (23)
Article
Full-text available
The coronavirus disease‑19 (COVID‑19) pandemic has already claimed millions of lives and remains one of the major catastrophes in the recorded history. While mitigation and control strategies provide short term solutions, vaccines play critical roles in long term control of the disease. Recent emergence of potentially vaccine‑resistant and novel va...
Article
Full-text available
Within the framework of the current COVID-19 pandemic, there is a race against time to find therapies for the outbreak to be controlled. Since vaccines are still tedious to develop and partially available for low-income countries, passive immunity based on egg-yolk antibodies (IgY) is presented as a suitable approach to preclude potential death of...
Article
Full-text available
SARS-CoV-2 main protease is a common target for inhibition assays due to its high conservation among coronaviruses. Since flavonoids show antiviral activity, several in silico works have proposed them as potential SARS-CoV-2 main protease inhibitors. Nonetheless, there is reason to doubt certain results given the lack of consideration for flavonoid...
Preprint
The COVID-19 pandemic started in China in December 2019 and quickly spread to several countries. The consequences of this pandemic are incalculable, causing the death of millions of people and damaging the global economy. To achieve large-scale control of this pandemic, fast tools for detection and treatment of patients are needed. Thus, the demand...
Preprint
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. It is critical to detect positive cases as early as possible to prevent the further spread of this epidemic and to treat affected patients quickly. The need for auxiliary diagnostic tools...
Preprint
Full-text available
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. The purpose of this work is to facilitate and automate the diagnosis of tuberculosis using the MODS method and using lens-free microscopy, as it is easier to calibrate and easier to use by...
Preprint
Full-text available
The COVID-19 pandemic has claimed the lives of millions of people worldwide and threatens to become an endemic problem, therefore the need for as many types of vaccines as possible is of high importance. Because of the millions of doses required, it is desirable that vaccines are not only safe and effective, but also easy to administer, store, and...
Preprint
Early diagnosis of autism spectrum disorder (ASD) is known to improve the quality of life of affected individuals. However, diagnosis is often delayed even in wealthier countries including the US, largely due to the fact that gold standard diagnostic tools such as the Autism Diagnostic Observation Schedule (ADOS) and the Autism Diagnostic Interview...
Preprint
Full-text available
Tuberculosis, caused by a bacteria called Mycobacterium tuberculosis, is one of the most serious public health problems worldwide. This work seeks to facilitate and automate the prediction of tuberculosis by the MODS method and using lens-free microscopy, which is easy to use by untrained personnel. We employ the CapsNet architecture in our collect...
Preprint
Full-text available
Tuberculosis (TB), caused by a germ called Mycobacterium tuberculosis, is one of the most serious public health problems in Peru and the world. The development of this project seeks to facilitate and automate the diagnosis of tuberculosis by the MODS method and using lens-free microscopy, due they are easier to calibrate and easier to use (by untra...
Conference Paper
In this work we proposed an indoor location system that makes use of a Raspberry Pi embedded computer and WiFi signals to guide a person inside a region of the faculty of Electrical and Electronic at Universidad Nacional de Ingeniería, Peru. The main advantage with similar indoor location systems like Beacons or RFID technology is that the presente...
Preprint
Full-text available
Anemia is a major health burden worldwide. Examining the hemoglobin level of blood is an important way to achieve the diagnosis of anemia, but it requires blood drawing and a blood test. In this work we propose a non-invasive, fast, and cost-effective screening test for iron-deficiency anemia in Peruvian young children. Our initial results show pro...
Preprint
Full-text available
Autism is a developmental disorder that affects social interaction and communication of children. The gold standard diagnostic tools are very difficult to use and time consuming. However, diagnostic could be deduced from child gaze preferences by looking a video with social and abstract scenes. In this work, we propose an algorithm based on convolu...
Preprint
Full-text available
Demand of hand pose recognition systems are growing in the last years in technologies like human-machine interfaces. This work suggests an approach for hand pose recognition in embedded computers using hand tracking and CNNs. Results show a fast time response with an accuracy of 94.50% and low power consumption.
Conference Paper
Full-text available
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 Ingenierı́a, Peru. The proposed system makes use of WiFi signals and the Bayes filter in order to predict the user location. The principal advantage of the proposed met...
Conference Paper
Full-text available
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. Despite several approaches for a robust recognition system, gesture recognition based on visual perception has many advanta...
Conference Paper
Full-text available
This paper describes the implementation of a control system based on 10 different hand gestures, providing a powerful tool for the implementation of better user-friendly human-machine interfaces. Hand detection is achieved using fast detection and tracking algorithms, and classification by a light convolutional neural network. The experimental resu...
Conference Paper
Full-text available
In this work we proposed an indoor location system that makes use of a mobile phone and levels of WiFi signals to determine the location of a person in the museum "Eduardo de Habich" at the Universidad Nacional de Ingeniería, Peru. Therefore, by determining his location, additional information such as recommendations, multimedia, an more could be s...
Poster
Full-text available
In this work we present a convolutional neural network-based algorithm for recognition of hand postures on images acquired by a single color camera. The hand is extracted in advance on the basis of skin color distribution. A neural network-based regressor is applied to locate the wrist. Finally, a convolutional neural network trained on 6000 manual...
Conference Paper
Full-text available
Tracking of emotional states is very important for building intelligent systems, to have an efficient human-machine interaction and have a better understanding of human behavior. Nevertheless, most of the state-of-the-art works in emotion recognition employ complex algorithms, which are difficult to implement in real-time on devices with low comput...
Conference Paper
Full-text available
This paper describes the design and implementation of a convolutional neural network for 26 handwritten letters recognition on a regular embedded computer. Recognition task is carried out using a customized convolutional neural network, designed to work with low computational resources. Furthermore, training was conducted on the recently published...
Conference Paper
Full-text available
This paper describes an implementation of a novel real-time recognition system which is capable to identify important information from a single user such as gender, age, emotions and hand gestures. The key of this recognition system is the classification process. This is carried out by using several convolutional neural networks that were designed...
Conference Paper
Full-text available
In this work we present a convolutional neural network-based algorithm for recognition of hand postures on images acquired by a single color camera. The hand is extracted in advance on the basis of skin color distribution. A neural network-based regressor is applied to locate the wrist. Finally, a convolutional neural network trained on 6000 manual...

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Project (1)
Project
If our aims are successfully completed the eye tracker/emotion recognition/pupillometry algorithms will serve as objective markers in severely disabled individuals to: (1) identify behavioral changes early in development (i.e., early identification of ASD); (2) track response to treatment; and (3) provide a framework to develop targeted therapeutic interventions. Our long-term goals will include refining the algorithm to include markers of overall attentional control, and extend its usefulness to other psychiatric disorders