Zobrazeno 1 - 10
of 1 370
pro vyhledávání: '"daubechies wavelet"'
Publikováno v:
المجلة العراقية للعلوم الاحصائية, Vol 21, Iss 1, Pp 160-169 (2024)
In this paper, it was proposed to create a new quality control chart for the single value of the Daubechies wavelet to address the problem of data contamination before creating the single value chart and comparing it with the classical Shewhart singl
Externí odkaz:
https://doaj.org/article/d573ef455dae4a539b96cceca084b782
Autor:
Valiollah Alizadeh, Madjid Abbaspour, Afshin Mohseni Arasteh, Kamran Lari, Masoud Torabi Azad
Publikováno v:
Heliyon, Vol 10, Iss 8, Pp e29632- (2024)
Ship noise emission has many environmental impacts. Recognizing noise-generating source and investigating noise reduction techniques is the first step in elimination or reduction of these harmful effects. Studies show that ship propeller is one of th
Externí odkaz:
https://doaj.org/article/0bf3f3d0012b4133ae2d248d3c448205
Autor:
Assiya Sarinova, Alexandr Neftissov, Leyla Rzayeva, Lalita Kirichenko, Sanzhar Kusdavletov, Ilyas Kazambayev
Publikováno v:
Scientific Journal of Astana IT University, Pp 111-124 (2023)
This paper proposes a preprocessing algorithm for aerospace hyperspectral images based on a mathematical apparatus effectively applied in pre-compression transformation problems. In particular, several methods have been analyzed for hyperspectral ima
Externí odkaz:
https://doaj.org/article/7385f5d32b61450dadd95ac64f39d6b0
Autor:
H. Karsli
Publikováno v:
Karpatsʹkì Matematičnì Publìkacìï, Vol 15, Iss 1, Pp 212-221 (2023)
This paper deals with construction and studying wavelet type Bernstein operators by using the compactly supported Daubechies wavelets of the given function $f$. The basis used in this construction is the wavelet expansion of the function $f$ instead
Externí odkaz:
https://doaj.org/article/ca81a5001bf84f1ab57100187f36e17d
Autor:
Sachin Dadu Khandekar, Dinesh Shrikrishna Aswar, Pandurang Digamber Sabale, Varsha Sachin Khandekar, Mohankumar Namdeorao Bajad, Shivakumar Khaple
Publikováno v:
Przegląd Naukowy Inżynieria i Kształtowanie Środowiska, Vol 33, Iss 1 (2024)
In this research, discrete wavelet transform (DWT) is combined with MLR and ANN to develop WMLR and WANN hybrid models, respectively, for the Brahmaputra river (Pancharatna station) flow forecasting. Daily flow data for the period of 10 year were dec
Externí odkaz:
https://doaj.org/article/a9a1a92b61134ab3ac468fa025abec94
Autor:
Tian Jiayue
Publikováno v:
Applied Mathematics and Nonlinear Sciences, Vol 9, Iss 1 (2024)
Anxiety is an important factor that affects the academic writing process and the quality of writing. In this paper, we first study the principle of emotional processing of EEG signals and discuss the pre-processing, feature extraction and emotional r
Externí odkaz:
https://doaj.org/article/9034bc557cae4f2496f1c16b05d70e09
Publikováno v:
Sensors, Vol 24, Iss 7, p 2117 (2024)
Surface roughness prediction is a pivotal aspect of the manufacturing industry, as it directly influences product quality and process optimization. This study introduces a predictive model for surface roughness in the turning of complex-structured wo
Externí odkaz:
https://doaj.org/article/0ac41a5888ab409481a4f1938684a426
Autor:
Okan Mert Katipoğlu
Publikováno v:
Water Supply, Vol 23, Iss 2, Pp 836-850 (2023)
This study aimed to predict monthly flows using an adaptive neuro-fuzzy inference system (ANFIS) and wavelet-ANFIS (W-ANFIS) and to determine the effect of wavelet transformation on the success of the machine learning model. For this purpose, the mod
Externí odkaz:
https://doaj.org/article/f37fa523915b413f86b37fd4aa630969
Autor:
Ahmed M. Qasim, Salahuddin A. Ahmed
Publikováno v:
Ain Shams Engineering Journal, Vol 14, Iss 7, Pp 102009- (2023)
In this work we present a single scale wavelet-Galerkin method (WGM) for obtaining the linear dynamic response of single degree of freedom (SDOF) and multi-degree of freedom (MDOF) systems, the equation of motion is discretized using a polynomial ext
Externí odkaz:
https://doaj.org/article/90c7b515395d47c0a1b60869779538b2
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