Results 111 to 120 of about 63,638 (199)

Hilbert Transform Pairs of Wavelets

Proceedings in Applied Mathematics and Mechanics, Volume 26, Issue 4, December 2026.
ABSTRACT The orthogonal projection of a real orthonormal wavelet basis onto the Hardy space—consisting of functions whose Fourier transform is supported only on the positive real axis—yields a Parseval frame of wavelets. Motivated by practical considerations, Kingsbury proposed the use of two real scaling functions from multiresolution analyses (MRAs ...
Moritz Proell
wiley   +1 more source

Introduction into the Parametrical Decomposition-Reconstruction Filters Based on Haar-like Orthonormal Transforms

Novel classes of orthogonal (orthonormal) Decomposition Recons-truction Filter(s) (DeReFs) are presented. Described DeReFs work similarly to classical Haar or other DeReFs (e.g. wavelets filters). But, the present filters use generalized Haar transforms (
Valters, Gatis, Misāns, Pēteris
core  

Physics‐Informed Fourier Neural Operator for Predicting the Full‐Field Stress and Strain Response of Polycrystalline Microstructures

Proceedings in Applied Mathematics and Mechanics, Volume 26, Issue 4, December 2026.
ABSTRACT We develop a physics‐informed Fourier Neural Operator (PINO) for the surrogate modeling of full‐field responses in polycrystalline microstructures. Reference stress and strain fields are generated using an FFT‐based full‐field solver under prescribed macroscopic loading. The model maps the crystallographic orientation field q(x)$\bm{q}(\bm{x})$
Ahmad Awad, Lisa Scheunemann
wiley   +1 more source

Beyond Directions: Symmetry‐Aware Rotation Sets for Triaxial Diffusion Encoding by Geometric Filter Optimization

Magnetic Resonance in Medicine, Volume 96, Issue 5, Page 2489-2504, November 2026.
ABSTRACT Purpose To improve the accuracy of diffusion‐weighted powder average signals for diffusion encoding with arbitrary b‐tensors. Methods We identify an intrinsic dihedral (D2) symmetry of diffusion signals for arbitrary diffusion encoding, which defines their natural signal space (a quotient of 3D rotations). Based on this, we propose a method to
Sune Nørhøj Jespersen, Filip Szczepankiewicz   +1 more
wiley   +1 more source

Pancreatic Cancer Early Detection Biomarkers for High‐Risk Individuals: Insights From the PRECEDE Consortium

International Journal of Cancer, Volume 159, Issue 8, Page 1873-1883, 15 October 2026.
ABSTRACT Pancreatic ductal adenocarcinoma (PDAC) remains one of the deadliest cancers due to its asymptomatic progression, late‐stage diagnosis, and treatment resistance. Efforts in early detection have centered on identifying imaging features and liquid biopsy biomarkers capable of detecting PDAC and its high‐grade precursors before clinical symptoms ...
Christine Worthington, Maria Raitses‐Gurevich, Giulio Innamorati, Phil A. Hart, Thomas M. Wilkie, Noam Tau, Dana Brin, Doron Yablecovitch, Ido Laish, Dove Keith, Kurt Giles, Jennifer B. Permuth, Diane M. Simeone, George Zogopoulos, Randall E. Brand, John J. Graff, Julie Earl, On behalf of the PRECEDE Consortium, Nikhil Agarwal, Laufey Amundadottir, Michelle Anderson, Ajay Bansal, Todd Bauer, Georg Beyer, Yan Bi, Erkut Borazanci, Randy Brand, Teri Brentnall, Carol Burke, Darren Carpizo, Saurabh Chawla, Daniel Chung, Sourat Darabi, Michael Demeure, Timothy Donahue, Julie Earl, Whitney Espinel, James Farrell, Vigdís Fjóla Stefánsdóttir, Jared Forrester, Eitan Friedman, Paul Franklin, Srinivas Gaddam, Ana García García de Paredes, Steven Gallinger, Talia Golan, Ora Gordon, Robert Grant, William Greenhalf, Eli Marie Grindedal, Aaron Grossberg, Brenda Hafers, Heather Hannon, Sigurdís Haraldsdóttir, Stefán Haraldsson, Peter Hegyi, Melissa Hogg, Amy de Haar‐Holleman, Susan Hong, Greg Idos, Edward Kim, Fay Kastrinos, Bryson Katona, Vivek Kaul, Derk Klatte, Kelsey Klute, Kimberly Ku, Sonia Kupfer, Rich Kwon, Rosario Ligresti, James James Lin, Wei‐Chih (David) Liao, Aimee Lucas, Nipun Merchant, Andrew Metz, Whitney Maxwell, James McLoughlin, Sodech Miclette, Xavier Molero, Leticia Moreira, Takuji Okusaka Chigusa Morizane, Joanne Ngeow, Salvatore Paiella, Jennifer Permuth, Maricel Purcell, Joshua Raff, Vineet Rolston, Intan Schrader, Rosie Sears, Yan‐Shen Shan, Diane Simeone, Jens Siveke, Brett Sheppard, Tyler Stevens, Elena Stoffel, Dan Sussman, Margaret Tempero, Jose Trevino, Jennifer Valerin, Eva Vaquero, Ray Wadlow, Garrett Ward, David Weinberg, Ronald Wolf, Dana Zakalik, George Zogopoulos   +105 more
wiley   +1 more source

Navigating AI Convergence in Human–Artificial Intelligence Teams: A Signaling Theory Approach

Journal of Organizational Behavior, Volume 47, Issue 8, Page 1338-1368, October 2026.
ABSTRACT Teams that combine human intelligence with artificial intelligence (AI) have become indispensable for solving complex tasks in various decision‐making contexts in modern organizations. However, the factors that contribute to AI convergence, where human team members align their decisions with those of their AI counterparts, still remain unclear.
Andria Smith, Hunter Phoenix van Wagoner, Ksenia Keplinger, Can Celebi   +3 more
wiley   +1 more source

Hearing the Serre Invariant of a Compact p‐Adic Analytic Manifold

Mathematische Nachrichten, Volume 299, Issue 10, Page 3126-3138, October 2026.
ABSTRACT Using a previous novel way of defining kernel functions for Laplacian integral operators on a compact p$p$‐adic analytic manifold X$X$, one such operator Δ0s$\Delta _0^s$ with s∈R$s\in \mathbb {R}$ is applied to hearing the Serre invariant i(X)$i(X)$ by showing that a wavelet eigenvalue (with the wavelet having small support) is always ...
Patrick Erik Bradley, Ángel Morán Ledezma   +1 more
wiley   +1 more source

Religion and Human Rights: Searching for Common Ground

, 2011
Haar, Gerrie
core   +7 more sources

Quantum Spectral Clustering Framework via Compact Circuit Structures

Advanced Quantum Technologies, Volume 9, Issue 10, October 2026.
Can a quantum computer cluster data without ever reading the full kernel? This work shows that compact, parameterized circuits estimate the Laplacian quadratic forms directly and perform clustering, without explicitly constructing the full quantum fidelity‐kernel matrix.
Hyeong‐gyu Kim, Siheon Park, June‐Koo Kevin Rhee   +2 more
wiley   +1 more source

Studio practices for shaping and heat-setting synthetic fabric [PDF]

, 2011
Heat-setting of synthetic fabrics is an industrial stabilization process that has been adapted by designers to create dimensional textures through shaped-resists and non-industrial heat-setting methods.
Haar, Sherry J.
core