Robust Bio‐Textiles Via Mycelium‐Cellulose Interface Engineering
This work introduces a new class of sustainable textiles by growing mycelium, the root‐like structure of fungi, into cellulose‐based fabrics. This semi‐interpenetrating mycelium‐cellulose fiber network combines the strength and breathability of natural fibers with the water‐resistant and adhesive properties of mycelium, resulting in a robust, scalable,
Wenhui Xu +7 more
wiley +1 more source
A comparative study of wavelet families for schizophrenia detection. [PDF]
Sathiya E, Rao TD, Kumar TS.
europepmc +1 more source
A novel spectral transformation technique based on special functions for improved chest X-ray image classification. [PDF]
Aljohani A.
europepmc +1 more source
A hybrid approach for regionalization of precipitation based on maximal discrete wavelet transform and growing neural gas network clustering. [PDF]
Tao X, Ben M, Xuan HCY, Arshaghi A.
europepmc +1 more source
Software and Hardware Complex for Assessment of Cerebral Autoregulation in Real Time. [PDF]
Semenyutin V +6 more
europepmc +1 more source
Non-Invasive Localization of Epileptogenic Zone in Drug-Resistant Epilepsy Based on Time-Frequency Analysis and VGG Convolutional Neural Network. [PDF]
Liu Y, Wang Y, Wang T.
europepmc +1 more source
A comprehensive guide to selecting suitable wavelet decomposition level and functions in discrete wavelet transform for fault detection in distribution networks. [PDF]
Shalby EM +3 more
europepmc +1 more source
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A wavelet network concept, which is based on wavelet transform theory, is proposed as an alternative to feedforward neural networks for approximating arbitrary nonlinear functions. The basic idea is to replace the neurons by ;wavelons', i.e., computing units obtained by cascading an affine transform and a multidimensional wavelet.
Q, Zhang, A, Benveniste
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Wavelet and wavelet Stieltjes transforms
Proceedings of 32nd IEEE Conference on Decision and Control, 2002Some fundamental and useful properties of wavelet transforms are presented. A unified approach for both discrete and continuous time-frequency localization is introduced. >
T. Bielecki, J. Chen, S. Yau, E.B. Lin
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