The public health contribution of sentiment analysis of Monkeypox tweets to detect polarities using the CNN-LSTM model

O Iparraguirre-Villanueva, A Alvarez-Risco… - Vaccines, 2023 - mdpi.com
Monkeypox is a rare disease caused by the monkeypox virus. This disease was considered
eradicated in 1980 and was believed to affect rodents and not humans. However, recent …

A Deep Convolutional Neural Network for Pneumonia Detection in X-ray Images with Attention Ensemble

Q An, W Chen, W Shao - Diagnostics, 2024 - mdpi.com
In the domain of AI-driven healthcare, deep learning models have markedly advanced
pneumonia diagnosis through X-ray image analysis, thus indicating a significant stride in the …

Application of machine learning models for early detection and accurate classification of type 2 diabetes

O Iparraguirre-Villanueva, K Espinola-Linares… - Diagnostics, 2023 - mdpi.com
Early detection of diabetes is essential to prevent serious complications in patients. The
purpose of this work is to detect and classify type 2 diabetes in patients using machine …

[PDF][PDF] A new modification CNN using VGG19 and ResNet50V2 for classification of COVID-19 from X-ray radiograph images

U Haruna, R Ali, M Man - Indonesian Journal of Electrical …, 2023 - academia.edu
Coronavirus often called COVID-19 is a deadly viral disease that causes as a result of
severe acute respiratory syndrome coronavirus-2 that needs to be identified especially at its …

Classification of tweets related to natural disasters using machine learning algorithms

O Iparraguirre-Villanueva, M Melgarejo-Graciano… - 2023 - repositorio.autonoma.edu.pe
In recent years, computer science has advanced exponentially, helping significantly to
identify and classify text extracted from social networks, specifically Twitter. This work …

Automatic calibration methodology using machine learning with low-cost and meteorological sensors

RMA Velásquez, VMD Vigo… - 2023 IEEE XXX …, 2023 - ieeexplore.ieee.org
In the last years several low-cost sensors (LCS) were installed in Lima, however, the
accuracy, reliability, comparability and standardization compared with robust Senamhi …

Implementasi Metode Convolutional Neural Network (CNN) Dalam Mendeteksi Jenis Sampah

D Darmawan - 2023 - repository.unja.ac.id
Sampah merupakan permasalahan yang terus meningkat di Indonesia. Jumlah sampah
yang terus bertambah setiap tahunnya menyebabkan banyak masalah, seperti pencemaran …

Classification Model Using Transfer Learning for the Detection of Pneumonia in Chest X-Ray Images.

GLE Maquen-Niño… - … Journal of Online & …, 2024 - search.ebscohost.com
In the current global context, there has been a significant increase in respiratory system
diseases, particularly pneumonia. This disease has a higher incidence of mortality in …

[HTML][HTML] Agente inteligente para la gestión de incidencias

O Iparraguirre-Villanueva, L Obregon-Palomino… - RISTI-Revista Ibérica de …, 2023 - scielo.pt
Un agente inteligente (AI) utiliza la inteligencia artificial (IA) para dialogar con los usuarios;
las incidencias son interrupciones que surgen y que impiden a los usuarios hacer uso de …

Classification of tweets related to natural disasters using machine learning algorithms

JF Ruíz Alvarado, O Iparraguirre-Villanueva… - 2023 - repositorio.utp.edu.pe
Identifying and classifying text extracted from social networks, following the traditional
method, is very complex. In recent years, computer science has advanced exponentially …