Zobrazeno 1 - 10
of 31
pro vyhledávání: '"Ümit Atila"'
Autor:
Ümit Atila, Furkan Sabaz
Publikováno v:
Engineering Science and Technology, an International Journal, Vol 35, Iss , Pp 101206- (2022)
In recent years, lip-reading has been one of the studies whose importance has increased considerably, especially with the spread of deep learning applications. In this topic, researchers try to detect what a person says from video frames without soun
Externí odkaz:
https://doaj.org/article/3f255b9ef2c9478c9550a2c44a329099
Autor:
Ahmet Korkmaz, Ümit Atila
Publikováno v:
Artificial Intelligence Studies. 4:1-13
Covid -19 disease, which has been detected in Wuhan, China in December 2019, has affected the whole world in a very short time. Since the disease has fatal consequences and there is currently no known cure, it is vital that people who are sick are id
Autor:
Ümit Atila, Kemal Akyol
Publikováno v:
Academic Platform Journal of Engineering and Science. 8:279-285
Publikováno v:
Biomedical Signal Processing and Control
The health systems of many countries are desperate in the face of Covid-19, which has become a pandemic worldwide and caused the death of hundreds of thousands of people. In order to keep Covid-19, which has a very high propagation rate, under contro
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::bad6fe07a1d4c2836416c2f662019b9d
https://avesis.gazi.edu.tr/publication/details/eec283b5-a1d4-4135-b296-d8940c8482ab/oai
https://avesis.gazi.edu.tr/publication/details/eec283b5-a1d4-4135-b296-d8940c8482ab/oai
Most plant diseases show visible symptoms, and the technique which is accepted today is that an experienced plant pathologist diagnoses the disease through optical observation of infected plant leaves. The fact that the disease diagnosis process is s
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::b56b142aee3de1ce92ca252f15197e7c
https://avesis.gazi.edu.tr/publication/details/8e533888-118d-4242-8500-8a0adca8c770/oai
https://avesis.gazi.edu.tr/publication/details/8e533888-118d-4242-8500-8a0adca8c770/oai
Robot grippers are widely used in a variety of areas requiring automation, precision, and safety. The performance of the grippers is directly associated with their design. In this study, four different multiobjective metaheuristic algorithms includin
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::2f949666707ccb34b9ab573c08186839
https://avesis.gazi.edu.tr/publication/details/0d75c068-1cfb-4b54-ac21-b6e449b55851/oai
https://avesis.gazi.edu.tr/publication/details/0d75c068-1cfb-4b54-ac21-b6e449b55851/oai
Objectives: Middle ear inflammatory diseases are global health problem that can have serious consequences such as hearing loss and speech disorders. The high cost of medical devices such as oto-endoscope and oto-microscope used by the specialists for
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::208a659976f299eae0db73a42a64bdb9
https://doi.org/10.1016/j.irbm.2021.01.001
https://doi.org/10.1016/j.irbm.2021.01.001
Background and objective: Traditional machine learning methods assume that both training and test data come from the same distribution. In this way, it becomes possible to achieve high successes when modelling on the same domain. Unfortunately, in re
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::bf20952af995108445371ed9b9107d31
https://avesis.gazi.edu.tr/publication/details/55d3489b-8151-4a40-aaa1-a32c0b75c240/oai
https://avesis.gazi.edu.tr/publication/details/55d3489b-8151-4a40-aaa1-a32c0b75c240/oai