Zobrazeno 1 - 10
of 122
pro vyhledávání: '"Apostolopoulos, Ioannis"'
The fundamental principles, potential applications, and ethical concerns of ChatGPT are analyzed and discussed in this study. Since ChatGPT emerged, it has gained a rapidly growing popularity, with more than 600 million users today. The development o
Externí odkaz:
http://arxiv.org/abs/2308.06373
Autor:
Apostolopoulos, Ioannis D.1 (AUTHOR) ece7216@upnet.gr, Papandrianos, Nikolaos I.1 (AUTHOR) npapandrianos@uth.gr, Apostolopoulos, Dimitrios J.2 (AUTHOR) dimap@med.upatras.gr, Papageorgiou, Elpiniki1 (AUTHOR) elpinikipapageorgiou@uth.gr
Publikováno v:
Bioengineering (Basel). Oct2024, Vol. 11 Issue 10, p957. 16p.
Autor:
Apostolopoulos, Ioannis D.1 (AUTHOR) japostol@iceht.forth.gr, Androulakis, Silas1,2 (AUTHOR) silas.androul@gmail.com, Kalkavouras, Panayiotis3,4 (AUTHOR), Fouskas, George1 (AUTHOR), Pandis, Spyros N.1,2 (AUTHOR) spyros@chemeng.upatras.gr
Publikováno v:
Sensors (14248220). Jul2024, Vol. 24 Issue 13, p4110. 27p.
Publikováno v:
Journal of Ambient Intelligence and Humanized Computing, 2022
Modern industry requires modern solutions for monitoring the automatic production of goods. Smart monitoring of the functionality of the mechanical parts of technology systems or machines is mandatory for a fully automatic production process. Althoug
Externí odkaz:
http://arxiv.org/abs/2011.11305
Publikováno v:
Biomed. Phys. Eng. Express, 2021
Purpose: In this study, the recently emerged advances in Fuzzy Cognitive Maps (FCM) are investigated and employed, for achieving the automatic and non-invasive diagnosis of Coronary Artery Disease (CAD). Methods: A Computer-Aided Diagnostic model for
Externí odkaz:
http://arxiv.org/abs/2004.03372
Publikováno v:
Journal Computer Methods in Biomechanics and Biomedical Engineering. 2020. p. 1-9
Cardiovascular Diseases (CVD) and strokes produce immense health and economic burdens globally. Coronary Artery Disease (CAD) is the most common type of cardiovascular disease. Coronary Angiography, which is an invasive treatment, is also the standar
Externí odkaz:
http://arxiv.org/abs/2004.02600
Publikováno v:
Journal of Medical and Biological Engineering; 40:462-69;2020
In this study, the problem of automatically classifying pulmonary diseases, including the recently emerged COVID-19, from X-Ray images, is considered. While the spread of COVID-19 is increased, new, automatic, and reliable methods for accurate detect
Externí odkaz:
http://arxiv.org/abs/2004.00338
Autor:
Apostolopoulos, Ioannis D.
Publikováno v:
International Journal of Engineering Applied Sciences and Technology. 4(2020) 431-434
In this work, we employ the Synthetic Minority Oversampling Technique (SMOTE) to generate instances of the minority class of an imbalanced Coronary Artery Disease dataset. We firstly analyze the public dataset Z -- Alizadeh Sani, a dataset used for n
Externí odkaz:
http://arxiv.org/abs/2004.04101
Publikováno v:
Physical and Engineering Sciences in Medicine 43:635-40;2020
In this study, a dataset of X-Ray images from patients with common pneumonia, Covid-19, and normal incidents was utilized for the automatic detection of the Coronavirus. The aim of the study is to evaluate the performance of state-of-the-art Convolut
Externí odkaz:
http://arxiv.org/abs/2003.11617
Autor:
Apostolopoulos, Ioannis D.
Lung Cancer is the most common cause of cancer-related death worldwide. Early and automatic diagnosis of Solitary Pulmonary Nodules (SPN) in Computer Tomography (CT) chest scans can provide early treatment as well as doctor liberation from time-consu
Externí odkaz:
http://arxiv.org/abs/2003.06801