Results 121 to 130 of about 2,138,593 (302)

Accumulators from Bilinear Pairings and Applications to ID-based Ring Signatures and Group Membership Revocation [PDF]

open access: yes, 2005
We propose a dynamic accumulator scheme from bilinear pairings, whose security is based on the Strong Di#e-Hellman ...
Lan Nguyen
core  

HierAnom‐Path: Zero‐Shot Rare Cancer Detection in Histopathology via Hierarchical Foundation Model Adaptation

open access: yesComputational and Systems Oncology, Volume 6, Issue 1, December 2026.
ABSTRACT Rare cancers collectively represent 20%–25% of all malignancies yet yield fewer than 50 annotated whole‐slide images (WSIs) per subtype in publicly available archives, rendering supervised deep learning inapplicable. We present HierAnom‐Path, to the best of our knowledge, the first framework for zero‐shot rare cancer anomaly detection in ...
Noora Saleem Jumaah   +5 more
wiley   +1 more source

A Minimalist Model for the Capture and Investigation of Solitary Waves in Gravity–Driven Liquid Films

open access: yesProceedings in Applied Mathematics and Mechanics, Volume 26, Issue 4, December 2026.
ABSTRACT A potential–based, first–integral formulation of the Navier–Stokes equations is used as a platform for modelling solitary waves in gravity‐driven film flow, giving rise to a nonlinear partial differential equation in complex form. Its subsequent modal decomposition—leading to an infinite set of ordinary differential equations (ODEs), followed ...
Markus Scholle   +2 more
wiley   +1 more source

One-round id-based threshold signature scheme from bilinear pairings

open access: yes, 2009
. In this paper, we propose a new ID-based threshold signature scheme from the bilinear pairings, which is provably secure in the random oracle model under the bilinear Diffie–Hellman assumption.
Wang, X   +7 more
core  

ID-Based Chameleon Hashes from Bilinear Pairings [PDF]

open access: yes, 2004
Chameleon hash function is a trapdoor one-way hash function. The ID-based chameleon hash function was first introduced by Ateniese and Medeiros \cite{AM03}.
Willy Susilo   +2 more
core  

Regularized Joint Reconstruction and Slab Combination for Accelerated Three‐Dimensional Multi‐Slab Diffusion‐Weighted Imaging Using Multi‐Scale Energy Models

open access: yesMagnetic Resonance in Medicine, Volume 96, Issue 5, Page 2321-2335, November 2026.
ABSTRACT Purpose To jointly reconstruct high‐resolution diffusion‐weighted volumes and eliminate slab‐boundary artifacts while preserving fine anatomical detail from undersampled 3D multi‐slab k‐space acquisitions. Methods A bilinear forward model was formulated to describe the 3D multi‐slab acquisition, treating the image volume and slab excitation ...
Reza Ghorbani   +4 more
wiley   +1 more source

Handling Experimental Data in FACPACK: Noise Effects on Duality Relations and Algorithmic Parameter Selection

open access: yesJournal of Chemometrics, Volume 40, Issue 10, October 2026.
ABSTRACT The area of feasible solutions (AFS) quantifies factor ambiguity in multivariate curve resolution (MCR). Although AFS computation is well‐defined for noise‐free data, experimental datasets require constraint relaxation and parameter tuning, which influence the resulting feasible bands.
Mathias Sawall   +4 more
wiley   +1 more source

Analytical Framework for System‐Level Fragility Surfaces of Reinforced Concrete Bridges Under Mainshock‐Aftershock Sequences

open access: yesEarthquake Engineering &Structural Dynamics, Volume 55, Issue 13, Page 3264-3284, 25 October 2026.
ABSTRACT Conventional single intensity measure (IM) fragility approaches with simplified component dependency assumptions overlook the progressive damage accumulation and evolving inter‐component correlations that govern system behavior under mainshock‐aftershock (MSAS) loading.
Muhammad Rashid, Mayuko Nishio
wiley   +1 more source

Automatic Extraction of a Generalized Physics‐Based Feature From Time‐Lapse Active Source Ultrasonic Waveforms for Prediction of Shear Stress in Laboratory Friction Experiments

open access: yesJournal of Geophysical Research: Machine Learning and Computation, Volume 3, Issue 5, October 2026.
Abstract Physics‐based handcrafted features, such as P‐wave amplitude derived from early parts of active source ultrasonic waveforms, successfully predict shear stress evolution. This study investigates whether feature extraction can be automated by leveraging full active source ultrasonic waveforms recorded during a laboratory friction experiment.
Prabhav Borate   +3 more
wiley   +1 more source

Enhancing Significant Wave Height Simulations Using Distribution‐Aware Deep Learning and Environmental Predictors

open access: yesJournal of Geophysical Research: Machine Learning and Computation, Volume 3, Issue 5, October 2026.
Abstract Numerical wave models are widely used for wave forecasting and hindcast data set construction; however, their outputs frequently exhibit systematic biases stemming from uncertainties in wind forcing, physical parameterizations, and bathymetry. To address this issue, a deep learning–based bias correction approach is applied to significant wave ...
Jiageng Han   +6 more
wiley   +1 more source

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