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pro vyhledávání: '"Osman Tayfun Bişkin"'
Publikováno v:
Sensors, Vol 23, Iss 7, p 3382 (2023)
One of the emerging fields in functional magnetic resonance imaging (fMRI) is the decoding of different stimulations. The underlying idea is to reveal the hidden representative signal patterns of various fMRI tasks for achieving high task-classificat
Externí odkaz:
https://doaj.org/article/af05ea2ae6084602a7870b5ea597d123
Autor:
Osman Tayfun BİŞKİN, Ahmet ÇİFCİ
Publikováno v:
Bilecik Şeyh Edebali Üniversitesi Fen Bilimleri Dergisi. 8:656-667
Energy demand management is particularly important for developing and emerging economies. Their energy consumptions increase significantly, depending on their growing economies. As a result of Turkey’s rapid economic and population growth, electric
Publikováno v:
Convolutional Neural Networks for Medical Image Processing Applications ISBN: 9781003215141
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::b5e751ca078bd4ac248fcaaa207fd3f5
https://doi.org/10.1201/9781003215141-7
https://doi.org/10.1201/9781003215141-7
MULTI-STEP FORECASTING OF COVID-19 CASES IN EUROPEAN COUNTRIES USING TEMPORAL CONVOLUTIONAL NETWORKS
Autor:
Osman Tayfun Bişkin
Publikováno v:
Volume: 7, Issue: 1 117-126
Mugla Journal of Science and Technology
Mugla Journal of Science and Technology
The novel Coronavirus (COVID-19) has significantly affected millions of people around the world since the first notification until nowadays. The rapid spread of the virus has dramatically increased the workload of healthcare systems in many countries
Autor:
Osman Tayfun Bişkin, Olcay Akay
Publikováno v:
Digital Signal Processing. 107:102867
Due to their nice properties, unimodular sequences possessing low autocorrelation sidelobes have already been employed as transmit waveforms in numerous radar systems. It could also be desired to have a transmit waveform which avoids certain frequenc