Advanced in Islanding Detection and Fault Classification for Grid-Connected Distributed Generation using Deep Learning Neural Network by Rusvaira Qatrunnada, Novizon Novizon, Mardini Hasanah, Tuti Angraini, Anton Anton

“…The method consists of discrete wavelet transform (DWT), which extracts some features from the fault signal. …”
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Defect Detection in Concrete Structures Based on Characteristics of Hammer Reaction Force and Apparent Stiffness of Concrete by Koki Shoda, Jun Younes Louhi Kasahara, Qi An, Atsushi Yamashita

“…To address this challenge, we propose a novel method that enhances defect discrimination accuracy by integrating statistical processing and physical property analysis within a machine learning framework designed for force signal characteristics. Our method employs wavelet transformation to convert short-duration force signals into high-resolution time-frequency features, capturing their non-stationary behavior in detail. …”
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Estimating the safe mud weight window for drilling operations through pre-stack seismic inversion, a case study in one of the Southwestern Iran oil fields by Mohammad Sadegh Mahmoudian, Yousef Shiri, Ahmad Vaezian

“…The pre-stack seismic inversion is conducted by constructing a velocity model and utilizing angle gather aggregation, statistical wavelet extraction, and initial model creation. Seismic inversion analysis revealed that the studied sandstone reservoir layer, known as the Ghar formation, possesses lower P-wave or S-wave acoustic impedance (P-/S-AI) and density compared to adjacent layers, likely due to the presence of porosity and potentially intra-formational fluids. …”
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EEG alpha/beta features as a biomarker for quantifying pain in patients with lumbar disk herniation by Rumei Li, Wanqi Shao, Shumei Zhao, Lingli Wang, Chao Yu, Lanying Liu, Kuiying Yin

“…Following the spectral analysis of the EEG signals with continuous wavelet transform, power ratios were extracted for four frequency bands (θ, α, β and γ). …”
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Multiwavelength Variability Analysis of the Blazar PKS 0727-11: An ~ 168 day Quasiperiodic Oscillation in the γ-Ray by Yuncai Shen, Tingfeng Yi, Vinit Dhiman, Lisheng Mao, Liang Dong

“…It is the first time that periodic variations have been detected in this source, and further supported by other methods: weighted wavelet z -transform, phase dispersion minimization, REDFIT, autoregressive integrated moving average model, and structure function analysis. …”
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Temporal and Spatial Patterns of Wind Erosion Climate Indices and Their Responses to Atmospheric and Oceanic Circulation Patterns in the Chinese Mollisol Region over the Past 61 Ye... by HU Wentao, ZHENG Fenli, GAO Xiaoyu, ZHENG Runhe, FU Jinxia, LI Zhi, ZHANG Jiaqiong

“…The research methods included the moving average, Mann-Kendall test and multiple wavelet coherence. [Results] The occurrence frequency of ≥ 5 m/s threshold wind speed of transporting sand varied from 5 to 30 times per season, daily maximum wind velocity varied from 6.1 to 8.7 m/s, daily extreme wind velocity varied from 9.8 to 12.2 m/s, and wind erosion climatic erosivity varied from 19.5 to 101.1 in the Chinese Mollisol region form 1960 to 2020. …”
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A realistic 2D multi-offset, multi-frequency synthetic GPR data set as a benchmark for testing new algorithms by G. Roncoroni, P. Koyan, E. Forte, J. Tronicke, M. Pipan

“…We modeled four multi-offset GPR profiles at 50, 100 and 200 MHz frequencies using realistic wavelets. The data set provides a robust framework for validating advanced GPR algorithms and techniques such as pre-stack depth migration, amplitude versus offset analysis and full waveform inversion. …”
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