Machine learning applications for COVID-19 outbreak management
Recently, the COVID-19 epidemic has resulted in millions of deaths and has impacted
practically every area of human life. Several machine learning (ML) approaches are …
practically every area of human life. Several machine learning (ML) approaches are …
Artificial intelligence and internet of things (AI-IoT) technologies in response to COVID-19 pandemic: A systematic review
The origin of the COVID-19 pandemic has given overture to redirection, as well as
innovation to many digital technologies. Even after the progression of vaccination efforts …
innovation to many digital technologies. Even after the progression of vaccination efforts …
Improved deep convolutional neural networks using chimp optimization algorithm for Covid19 diagnosis from the X-ray images
Abstract Applying Deep Learning (DL) in radiological images (ie, chest X-rays) is emerging
because of the necessity of having accurate and fast COVID-19 detectors. Deep …
because of the necessity of having accurate and fast COVID-19 detectors. Deep …
PoxNet22: A fine-tuned model for the classification of monkeypox disease using transfer learning
Officials in the field of public health are concerned about a new monkeypox outbreak, even
though the world is now experiencing an epidemic of COVID-19. Similar to variola, cowpox …
though the world is now experiencing an epidemic of COVID-19. Similar to variola, cowpox …
[Retracted] Automated System for Identifying COVID‐19 Infections in Computed Tomography Images Using Deep Learning Models
KH Abdulkareem, SA Mostafa… - Journal of …, 2022 - Wiley Online Library
Coronavirus disease 2019 (COVID‐19) is a novel disease that affects healthcare on a global
scale and cannot be ignored because of its high fatality rate. Computed tomography (CT) …
scale and cannot be ignored because of its high fatality rate. Computed tomography (CT) …
A survey on deep learning in COVID-19 diagnosis
X Han, Z Hu, S Wang, Y Zhang - Journal of imaging, 2022 - mdpi.com
According to the World Health Organization statistics, as of 25 October 2022, there have
been 625,248,843 confirmed cases of COVID-19, including 65,622,281 deaths worldwide …
been 625,248,843 confirmed cases of COVID-19, including 65,622,281 deaths worldwide …
Deep learning and machine learning-based voice analysis for the detection of COVID-19: A proposal and comparison of architectures
G Costantini, C Robotti, M Benazzo… - Knowledge-Based …, 2022 - Elsevier
Alongside the currently used nasal swab testing, the COVID-19 pandemic situation would
gain noticeable advantages from low-cost tests that are available at any-time, anywhere, at a …
gain noticeable advantages from low-cost tests that are available at any-time, anywhere, at a …
COVID-19 diagnosis using chest CT scans and deep convolutional neural networks evolved by IP-based sine-cosine algorithm
The prevalence of the COVID-19 virus and its variants has influenced all aspects of our life,
and therefore, the precise diagnosis of this disease is vital. If a polymerase chain reaction …
and therefore, the precise diagnosis of this disease is vital. If a polymerase chain reaction …
Investigation of the pharmaceutical warehouse locations under COVID-19—A case study for Duzce, Turkey
M Erdogan, E Ayyildiz - Engineering Applications of Artificial Intelligence, 2022 - Elsevier
Pharmaceutical warehouses are among the centers that play a critical role in the delivery of
medicines from the producers to the consumers. Especially with the new drugs and vaccines …
medicines from the producers to the consumers. Especially with the new drugs and vaccines …
Anomaly detection in NetFlow network traffic using supervised machine learning algorithms
Anomaly detection is an important method for monitoring network traffic where is important to
successfully distinguish normal traffic from abnormal traffic. For this purpose, one could use …
successfully distinguish normal traffic from abnormal traffic. For this purpose, one could use …