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Applications of artificial intelligence in COVID-19 pandemic: A comprehensive review
During the current global public health emergency caused by novel coronavirus disease 19
(COVID-19), researchers and medical experts started working day and night to search for …
(COVID-19), researchers and medical experts started working day and night to search for …
An explainable artificial intelligence software system for predicting diabetes
Implementing diabetes surveillance systems is paramount to mitigate the risk of incurring
substantial medical expenses. Currently, blood glucose is measured by minimally invasive …
substantial medical expenses. Currently, blood glucose is measured by minimally invasive …
CNN Models Using Chest X-Ray Images for COVID-19 Detection: A Survey.
The COVID-19 pandemic, which began in 2019, has spread globally, causing substantial
human suffering and economic disruption. A collaborative global effort is essential to combat …
human suffering and economic disruption. A collaborative global effort is essential to combat …
Deep Learning-Based Red Blood Cell Classification for Sickle Cell Anemia Diagnosis Using Hybrid CNN-LSTM Model.
A mutation in the beta-globin gene results in the blood condition known as Sickle cell
anemia. It is estimated that number of individuals affected by sickle cell anemia worldwide …
anemia. It is estimated that number of individuals affected by sickle cell anemia worldwide …
[PDF][PDF] Enhanced Disease Detection Using Contrast Limited Adaptive Histogram Equalization and Multi-Objective Cuckoo Search in Deep Learning
Accepted: 5 May 2023 Delayed diagnosis of numerous diseases often results in postponed
treatment, adversely affecting patient outcomes. By analyzing biological signals and patient …
treatment, adversely affecting patient outcomes. By analyzing biological signals and patient …
[PDF][PDF] Sentiment analysis of electronic social media based on deep learning
This paper describes Deep Learning approach of sentiment analyses which is an active
research subject in the domain of Natural Language Processing. For this purpose we have …
research subject in the domain of Natural Language Processing. For this purpose we have …
AI-based user authentication reinforcement by continuous extraction of behavioral interaction features
In this work, we conduct an experiment to analyze the feasibility of a continuous
authentication method based on the monitorization of the users' activity to verify their …
authentication method based on the monitorization of the users' activity to verify their …
Computer tomography image based interconnected antecedence clustering model using deep convolution neural network for prediction of COVID-19
SK Santhi - Traitement du Signal, 2023 - ir.vignan.ac.in
The sudden appearance of the COVID-19 pandemic as a major health threat is a serious
concern for global health professionals. The world's most pressing problem has now been …
concern for global health professionals. The world's most pressing problem has now been …
An effective medical image classification: transfer learning enhanced by auto encoder and classified with SVM
The count of white blood cells is vital for disease diagnosis, which is exploited to identify
many diseases like infections and leukemia. COVID-19 is another critical disease which …
many diseases like infections and leukemia. COVID-19 is another critical disease which …
A deep learning framework for automated and generalized synaptic event analysis
PS O'Neill, M Baccino-Calace, P Rupprecht, S Lee… - bioRxiv, 2023 - biorxiv.org
Quantitative information about synaptic transmission is key to our understanding of neural
function. Spontaneously occurring synaptic events carry fundamental information about …
function. Spontaneously occurring synaptic events carry fundamental information about …