Listar Articulos Cientificos por autor "Guevara-Ponce, Victor"
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Convolutional Neural Networks with Transfer Learning for Pneumonia Detection
(Science and Information Organization, 2022)Acceso abierto“Pneumonia is a type of acute respiratory infection caused by microbes, and viruses that affect the lungs. Pneumonia is the leading cause of infant mortality in the world, accounting for 81% of deaths in children under ... -
Convolutional Neural Networks with Transfer Learning for Pneumonia Detection
(Science and Information Organization, 2022)Acceso abierto“Pneumonia is a type of acute respiratory infection caused by microbes, and viruses that affect the lungs. Pneumonia is the leading cause of infant mortality in the world, accounting for 81% of deaths in children under ... -
Disease Identification in Crop Plants based on Convolutional Neural Networks
(Science and Information Organization, 2023)Acceso abierto“The identification, classification and treatment of crop plant diseases are essential for agricultural production. Some of the most common diseases include root rot, powdery mildew, mosaic, leaf spot and fruit rot. ... -
Disease Identification in Crop Plants based on Convolutional Neural Networks
(Science and Information Organization, 2023)Acceso abierto“The identification, classification and treatment of crop plant diseases are essential for agricultural production. Some of the most common diseases include root rot, powdery mildew, mosaic, leaf spot and fruit rot. ... -
Sentiment Analysis of Tweets using Unsupervised Learning Techniques and the K-Means Algorithm
(Science and Information Organization, 2022)Acceso abiertoToday, web content such as images, text, speeches, and videos are user-generated, and social networks have become increasingly popular as a means for people to share their ideas and opinions. One of the most popular social ... -
Sentiment Analysis of Tweets using Unsupervised Learning Techniques and the K-Means Algorithm
(Science and Information Organization, 2022)Acceso abiertoToday, web content such as images, text, speeches, and videos are user-generated, and social networks have become increasingly popular as a means for people to share their ideas and opinions. One of the most popular social ... -
Text prediction recurrent neural networks using long shortterm memory-dropout
(Institute of Advanced Engineering and Science, 2022-10-29)Acceso abierto“Unit short-term memory (LSTM) is a type of recurrent neural network (RNN) whose sequence-based models are being used in text generation and/or prediction tasks, question answering, and classification systems due to ...
