Zobrazeno 1 - 10
of 28
pro vyhledávání: '"Timothy Oladunni"'
Autor:
Staphord Bengesi, Hoda El-Sayed, MD Kamruzzaman Sarker, Yao Houkpati, John Irungu, Timothy Oladunni
Publikováno v:
IEEE Access, Vol 12, Pp 69812-69837 (2024)
The launch of ChatGPT in 2022 garnered global attention, marking a significant milestone in the Generative Artificial Intelligence (GAI) field. While GAI has been in effect for the past decade, the introduction of ChatGPT sparked a new wave of resear
Externí odkaz:
https://doaj.org/article/d3ec89b45f1044acaa7ceb728c3ea1d2
Autor:
John Irungu, Timothy Oladunni, Andrew C. Grizzle, Max Denis, Marzieh Savadkoohi, Esther Ososanya
Publikováno v:
IEEE Access, Vol 11, Pp 135994-136014 (2023)
Since the outbreak of coronavirus also known as COVID-19, there have been several studies on the disease. This study investigates patients’ electrocardiography (ECG) properties for an accurate prediction of this infectious disease. Our findings wil
Externí odkaz:
https://doaj.org/article/4fc6e94155d54da1a3641e2d68142067
Publikováno v:
IEEE Access, Vol 11, Pp 49882-49894 (2023)
Emotion classification has become a valuable tool in analyzing text and emotions people express in response to events or crises, particularly on social media and other online platforms. The recent news about monkeypox highlighted various emotions ind
Externí odkaz:
https://doaj.org/article/31318e642d83420ea19a9d256e69df13
Publikováno v:
IEEE Access, Vol 11, Pp 11811-11826 (2023)
Research on sentiment analysis has proven to be very useful in public health, particularly in analyzing infectious diseases. As the world recovers from the onslaught of the COVID-19 pandemic, concerns are rising that another pandemic, known as monkey
Externí odkaz:
https://doaj.org/article/cef134fde306495097b74a4521132374
Publikováno v:
International Journal of Environmental Research and Public Health; Volume 20; Issue 10; Pages: 5803
Popular social media platforms, such as Twitter, have become an excellent source of information with their swift information dissemination. Individuals with different backgrounds convey their opinions through social media platforms. Consequently, the
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::912a03c3200bd7343f20258050f930be
Publikováno v:
2023 15th International Conference on Computer and Automation Engineering (ICCAE).
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::a7440928b310bb55a904e8454dddccdc
https://doi.org/10.1109/iccae56788.2023.10111114
https://doi.org/10.1109/iccae56788.2023.10111114
Publikováno v:
Cybernetics and Systems. 52:105-126
Electricity generation from burning fossil fuel is one of the major contributors to global warming. Renewable energy sources are a viable alternative to produce electrical energy and to reduce the ...
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::c3838745efd6cec223f96ace851286ac
https://doi.org/10.1080/01969722.2020.1827796
https://doi.org/10.1080/01969722.2020.1827796
Publikováno v:
Biocybern Biomed Eng
This study investigates the properties of the brain electrical activity from different recording regions and physiological states for seizure detection. Neurophysiologists will find the work useful in the timely and accurate detection of epileptic se
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::fe936260e7774b48ce067976b2248f38
https://doi.org/10.1016/j.bbe.2020.07.004
https://doi.org/10.1016/j.bbe.2020.07.004
Publikováno v:
Expert systems with applications. 212
In 2019 there was an outbreak of coronavirus pandemic also known as COVID-19. Many scientists believe that the pandemic originated from Wuhan, China, before spreading to other parts of the globe. To reduce the spread of the disease, decision makers e
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::5cbbce1be5c7e26150d54610427acd6d
https://pubmed.ncbi.nlm.nih.gov/36092862
https://pubmed.ncbi.nlm.nih.gov/36092862
Publikováno v:
IEEE Sens Lett
In this work, an automatic detection algorithm for hypertrophic cardiomyopathy (HCM) is presented. Of particular interest is the algorithm’s ability to differentiate HCM subjects and healthy volunteers from a single lead ECG dataset. Suspected HCM
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::1240f0e02cffb28a7f034d44b7731537
https://europepmc.org/articles/PMC9610197/
https://europepmc.org/articles/PMC9610197/
