Results 61 to 70 of about 2,723,745 (323)
Innovating Aircraft Repair Processes: The Role of Digitalization in Sustainability
Advanced Engineering Materials, EarlyView.This research explores how digitalization—by storing detailed non‐destructive testing data in structured DICONDE databases and creating a standard data model of the component—innovates aviation maintenance and repair processes. Coupled with a developed state‐based simulation model, it enables data‐driven, sustainable repair strategies that reduce waste,
Johanna Aigner +3 more
wiley +1 more source
Journal of Finance and Data Science, 2016 Many researchers documented that if stock markets' returns series are significantly skewed, linear-GARCH(1,1) grossly underestimates the forecast values of the returns. However, this study showed that the linear Maximal Overlap Discreet Wavelet Transform
Mohd Tahir Ismail +2 more
doaj +1 more source
The curvelet transform for image denoising [PDF]
, 2002 We describe approximate digital implementations of two new mathematical transforms, namely, the ridgelet transform and the curvelet transform. Our implementations offer exact reconstruction, stability against perturbations, ease of implementation, and ...
Candès, Emmanuel J. +2 more
core +1 more source
Response of Autonomic Nervous System to Body Positions: Fourier and Wavelet Analysis
, 2005 Two mathematical methods, the Fourier and wavelet transforms, were used to study the short term cardiovascular control system. Time series, picked from electrocardiogram and arterial blood pressure lasting 6 minutes, were analyzed in supine position (SUP)
A. FEDERICI +11 more
core +1 more source
Harnessing Fungal Biowelding for Constructing Mycelium‐Engineered Materials
Advanced Engineering Materials, EarlyView.Mycelium‐bound composites (MBCs) offer low‐carbon alternatives for construction, yet interfacial bonding remains a critical challenge. This review examines fungal biowelding as a biocompatible adhesive, elucidating mycelium‐mediated interfacial mechanisms and their role in material assembly. Strategies to optimize biowelding are discussed, highlighting
Xue Brenda Bai +2 more
wiley +1 more source
Shock and Vibration, 2016 Effective signal processing in fault detection and diagnosis (FDD) is an important measure to prevent failure and accidents of machinery. To address the end distortion and frequency aliasing issues in conventional lifting wavelet transform, a Volterra ...
Lixiang Duan +4 more
doaj +1 more source
Duplex Stainless Steel Laser‐Surface Textured: Stability in Brine Solution
Advanced Engineering Materials, EarlyView.Controlled laser‐surface treatment (LST) of duplex DSS2205 steel is performed to increase its stability in brine solution under cyclic electrochemical assays. The superior protection with respect to flat and smooth panels is attributed to the presence of FeCr2O4 as the main protective oxide layer in the LST surface, after corrosion tests. The stability
Mohammad Rezayat +5 more
wiley +1 more source
Elinvar Materials: Recent Progress and Challenges
Advanced Engineering Materials, EarlyView.Elinvar materials, exhibiting temperature‐invariant elastic modulus, are critical for precision instruments and emerging technologies. This article reviews recent progress in the field, with a focus on the anomalous thermoelastic behavior observed in key material systems.
Wenjie Li, Yang Ren
wiley +1 more source
M-RWTL: Learning Signal-Matched Rational Wavelet Transform in Lifting Framework
IEEE Access, 2018 Transform learning is being extensively applied in several applications because of its ability to adapt to a class of the signals of interest. Often, a transform is learned using a large amount of training data, while only limited data may be available ...
Naushad Ansari, Anubha Gupta
doaj +1 more source
Singularity and similarity detection for signals using the wavelet transform [PDF]
, 2005 The wavelet transform and related techniques are used to analyze singular and fractal signals. The normalized wavelet scalogram is introduced to detect singularities including jumps, cusps and other sharply changing points. The wavelet auto-covariance is
Billings, S.A., Wei, H.L.
core