Zobrazeno 1 - 10
of 1 137
pro vyhledávání: '"Smoothing methods"'
Autor:
Jianhui Meng, Zhiyi Zhang, Gengmin Zhang, Tairan Ye, Pengfei Zhao, Yi Wang, Jian Yang, Jie Yu
Publikováno v:
IET Generation, Transmission & Distribution, Vol 17, Iss 12, Pp 2833-2845 (2023)
Abstract One of the main capabilities of grid‐forming converters is the ability to operate in both islanded and grid‐connected modes. The grid‐forming converters work autonomously and behave as an AC voltage source when they are isolated from t
Externí odkaz:
https://doaj.org/article/a6ae8b8bd8824f3ab50c4b312e7cba29
Akademický článek
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Akademický článek
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Akademický článek
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Autor:
Nasser Mourad
Publikováno v:
IET Signal Processing, Vol 15, Iss 5, Pp 323-336 (2021)
Abstract Penalized least squares (PLS) is a popular data smoothing technique. However, existing PLS smoothing algorithms behave as low‐pass filters (LPF), and, hence, they may introduce distortions to bandpass signals. These algorithms also have di
Externí odkaz:
https://doaj.org/article/9362cb416266499dbe109de8ffcf516e
Publikováno v:
IET Radar, Sonar & Navigation, Vol 15, Iss 5, Pp 431-440 (2021)
Abstract A deep‐learning‐based approach to estimating the number of coherent sources in radar is presented. A proper estimate of the number of sources in a signal enables improved angle‐of‐arrival (AoA) estimation common in applications such
Externí odkaz:
https://doaj.org/article/68d26c5a2e41461cbc13f22a2326d34b
Publikováno v:
Sakarya University Journal of Computer and Information Sciences, Vol 3, Iss 3, Pp 334-342 (2020)
Today, with the rapidly advancing technology, the importance of image processing techniques is increasing. Image processing is used in many areas from facial recognition to plant disease identification. One of the important image processing stages is
Externí odkaz:
https://doaj.org/article/911b1e8524ca45e68560cbaee9d1b13c
Utilizing smartphone sensor data from crowdsen-sing (CS) campaigns for transportation planning (TP) requires highly reliable transport mode recognition. To address this, we present our RNN-based AI model MovDeep, which works on GPS, accelerometer, ma
Externí odkaz:
https://tud.qucosa.de/id/qucosa%3A85455
https://tud.qucosa.de/api/qucosa%3A85455/attachment/ATT-0/
https://tud.qucosa.de/api/qucosa%3A85455/attachment/ATT-0/
Autor:
Mustafa Agah Tekindal, Harun Yonar, Aynur Yonar, Melike Tekindal, Mustafa Bahadır Çevrimli, Hasan Alkan, Zekeriya Safa İnanç, Burak Mat
Publikováno v:
Eurasian Journal of Veterinary Sciences, Vol 36, Iss 5, Pp 142-155 (2020)
Aim: This study is conducted to inform communities and governments about the spread of the COVID-19 pandemic in selected countries: Turkey, Germany, the United Kingdom, France, Italy, Russian, Canada, and Japan. Materials and Methods: For this purpos
Externí odkaz:
https://doaj.org/article/309acb651bdb48d1844d47a148bbc03d
Publikováno v:
Tehnički Vjesnik, Vol 27, Iss 6, Pp 2034-2043 (2020)
The method of designing elements of the surfaces' frames based on array of points is suggested in the work. Elements of frames are contours that are received via interpolation of sets of points, which are selected from the initial array of points. Th
Externí odkaz:
https://doaj.org/article/368e3958d7cc42e0a41588a99db7db4c