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Gianmarco Baldini and Fausto Bonavitacola
Channel identification is a useful function to support wireless telecommunication operations because the knowledge of the radio frequency propagation channel characteristics can improve communication efficiency and robustness. In recent times, the applic...
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Naghmeh Jafarpournaser, Mahmoud Reza Delavar and Maryam Noroozian
The increasing prevalence of cognitive disorders among the elderly is a significant consequence of the global aging phenomenon. Wandering stands out as the most prominent and challenging symptom in these patients, with potential irreversible consequences...
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Marta Zamorano, Deivis Avila, Graciliano Nicolás Marichal and Cristina Castejon
Air quality can be affected by merchant ships, so it is important to regulate emissions that are produced, as well as to use energy efficiently. In this sense, the cleanliness of the oil used in lubrication is essential to achieve a better use of energy ...
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Shuangya Wen, Nan Shi, Junwei Lu, Qianwen Gao, Wenrui Hu, Zhengdengyuan Cao, Jianxiang Lu, Huibin Yang and Zhiqiang Gao
The chlorophyll fluorescence parameter Fv/Fm (maximum photosynthetic efficiency of optical system II) is an intrinsic index for exploring plant photosynthesis. Hyperspectral remote sensing technology can be used for rapid nondestructive detection of chlo...
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Ali K. Saleh, Zafer Sakka and Hasan Almuhanna
The early condition-based assessment of civil infrastructures plays an essential role in extending their service life, preventing undesirable sudden failures, and reducing maintenance and rehabilitation costs. One of the most commonly used and fastest no...
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Haoyu Xie and Riki Honda
For dynamic analysis in seismic design, selection of input ground motions is of huge importance. In the presented scheme, complex Continuous Wavelet Transform (CWT) is utilized to simulate stochastic ground motions from historical records of earthquakes ...
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Yanan Li and Zhaohui Li
Partial Discharge (PD) measurements of large generators are extremely affected and hampered by noise, making the denoising of PD signal an inevitable issue. Wavelet shrinkage is the most commonly employed method for PD signal denoising. The appropriate m...
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Jittiphong Klomjit and Atthapol Ngaopitakkul
This research proposes a comparison study on different artificial intelligence (AI) methods for classifying faults in hybrid transmission line systems. The 115-kV hybrid transmission line in the Provincial Electricity Authority (PEA-Thailand) system, whi...
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Albert Willian Faria, Rodrigo Alves e Silva, Edson Hideki Koroishi
Pág. e39046
The present paper seeks to enhance the potential damage detention and location of the discrete wavelet transform (DWT) in a thin laminated composite damaged by a signal derived from vibration modes. The DWT-1D is used to spatially identify (x-y plane) th...
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Youngmin Seo, Yunyoung Choi, Jeongwoo Choi
Pág. 1 - 24
This paper proposes a river stage modeling approach combining maximal overlap discrete wavelet transform (MODWT), support vector machines (SVMs) and genetic algorithm (GA). The MODWT decomposes original river stage time series into sub-time series (detai...
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