Detection of COVID-19 using ResNet50, VGG19, mobilenet, and forecasting; using logistic regression, prophet, and SEIRD Model
K Jahnavi, NS Sandeep, R Deepika… - 2023 7th …, 2023 - ieeexplore.ieee.org
Artificial Intelligence can quickly identify hazardous viral strains in humans. To detect COVID-
19 symptoms, AI algorithms can be used to train to examine medical images like X-rays and …
19 symptoms, AI algorithms can be used to train to examine medical images like X-rays and …
Soft computing and image processing techniques for COVID-19 prediction in lung CT scan images
NVL Appari, MG Kanojia - International Journal of Hybrid …, 2022 - content.iospress.com
COVID-19 is a contagious respiratory illness that can be passed from person to person.
Because it affects the lungs, damages blood arteries, and causes cardiac problems, COVID …
Because it affects the lungs, damages blood arteries, and causes cardiac problems, COVID …
Closer Look at Image Classification for Indonesian Sign Language with Few-Shot Learning Using Matching Network Approach
IP Sari - JOIV: International Journal on Informatics Visualization, 2023 - joiv.org
Huge datasets are important to build powerful pipelines and ground well to new images. In
Computer Vision, the most basic problem is image classification. The classification of …
Computer Vision, the most basic problem is image classification. The classification of …
Stage Wise Prediction of Covid-19 Pneumonia from CT images using VGG-16 and SVM
BJB Nair, S Akash, R Smaran… - 2022 International …, 2022 - ieeexplore.ieee.org
In COVID-19 time, finding medication was the tedious process. Proposed work explains
about the segregation of covid-19 CT scan images into categories like mild, moderate and …
about the segregation of covid-19 CT scan images into categories like mild, moderate and …
Image Classification Using the Method of Convolutional Neural Networks
K Huang - 2022 IEEE Conference on Telecommunications …, 2022 - ieeexplore.ieee.org
Science and technology have progressed in recent years, image classification has taken on
great importance in improving work efficiency and received increasing attention in people's …
great importance in improving work efficiency and received increasing attention in people's …
Detection of covid-19 in computed tomography images using deep learning: A literature review
Several diagnostic imaging methods are being studied with the development of the COVID-
19 disease. One of them is computed tomography (CT), which has the best level of de-tail …
19 disease. One of them is computed tomography (CT), which has the best level of de-tail …
Enhanced Few-Shot Learning for Indonesian Sign Language with Prototypical Networks Approach
The issue of few-shot learning (FSL), which requires using a small amount of training data to
categorize instances from classes that have never been encountered before. We …
categorize instances from classes that have never been encountered before. We …
Chest X-Ray-Based Covid-19 Detection Using Preprocessing Techniques and Deep Learning Algorithms
Covid-19 is a transmissible infection identified in Wuhan, China, in December 2019 where
more than million people were killed. When the contamination enters body, it contacts the …
more than million people were killed. When the contamination enters body, it contacts the …
PERFORMANCE TESTING OF COVID-19 IMAGE CLASSIFICATION USING DIFFERENT MACHINE LEARNING ARCHITECTURES
E Smoqi - 2023 - 92.119.236.203
The outbreak of the Covid-19 pandemic brought the need for research in this field to assist in
diagnosing patients more accurately and with more speed than is possible using just human …
diagnosing patients more accurately and with more speed than is possible using just human …