Results 31 to 40 of about 4,285 (126)

Kernelization and Sparseness: the case of Dominating Set [PDF]

open access: yes, 2015
We prove that for every positive integer $r$ and for every graph class $\mathcal G$ of bounded expansion, the $r$-Dominating Set problem admits a linear kernel on graphs from $\mathcal G$.
Drange, Pål Grønås   +11 more
core   +2 more sources

WS2 Optoelectronic Memristive Reservoir Enabling Ultra‐Low‐Power, Multi‐Task, and Environmentally Stable Neuromorphic Computing

open access: yesAdvanced Science, EarlyView.
WS2‐based in‐memory sensing reservoir computing integrates sensing, memory, and computation in one compact device. It achieves ∼94% N‐MNIST, ∼93% eye motion perception, and ∼89% speech recognition with ultra‐low energy (∼25.5 fJ/spike). The system shows stability at 95% humidity, endurance over 1.5M cycles, and supports synaptic plasticity, enabling ...
Dayanand Kumar   +9 more
wiley   +1 more source

Synthetic LISA: Simulating Time Delay Interferometry in a Model LISA

open access: yes, 2004
We report on three numerical experiments on the implementation of Time-Delay Interferometry (TDI) for LISA, performed with Synthetic LISA, a C++/Python package that we developed to simulate the LISA science process at the level of scientific and ...
B. Bertotti   +7 more
core   +1 more source

A Solution for Exosome‐Based Analysis: Surface‐Enhanced Raman Spectroscopy and Artificial Intelligence

open access: yesAdvanced Intelligent Discovery, EarlyView.
Exosomes are emerging as powerful biomarkers for disease diagnosis and monitoring. This review highlights the integration of surface‐enhanced Raman spectroscopy with artificial intelligence to enhance molecular fingerprinting of exosomes. Machine learning and deep learning techniques improve spectral interpretation, enabling accurate classification of ...
Munevver Akdeniz   +2 more
wiley   +1 more source

Detection of Coherent Vorticity Structures using Time-Scale Resolved Acoustic Spectroscopy

open access: yes, 1998
We describe here an experimental technique based on the acoustic scattering phenomenon allowing the direct probing of the vorticity field in a turbulent flow.
Arneodo   +33 more
core   +2 more sources

Retinal Vessel Segmentation: A Comprehensive Review From Classical Methods to Deep Learning Advances (1982–2025)

open access: yesAdvanced Intelligent Systems, EarlyView.
Four decades of retinal vessel segmentation research (1982–2025) are synthesized, spanning classical image processing, machine learning, and deep learning paradigms. A meta‐analysis of 428 studies establishes a unified taxonomy and highlights performance trends, generalization capabilities, and clinical relevance.
Avinash Bansal   +6 more
wiley   +1 more source

A self-consistent theory of localization in nonlinear random media

open access: yes, 2016
The self-consistent theory of localization is generalized to account for a weak quadratic nonlinear potential in the wave equation. For spreading wave packets, the theory predicts the destruction of Anderson localization by the nonlinearity and its ...
Cherroret, Nicolas
core   +1 more source

Stopping Power of Electron Liquid for Slow Quantum Projectiles

open access: yesContributions to Plasma Physics, EarlyView.
ABSTRACT We revisit the problem of the deceleration of a charge moving in a medium. In the low‐velocity limit of the projectile, we construct the fully nonlinear (in the charge–target interaction) theory of the stopping power (SP), which goes beyond the classical Ehrenfest dynamics.
Vladimir U. Nazarov, E. K. U. Gross
wiley   +1 more source

Green functions and propagation of waves in strongly inhomogeneous media

open access: yes, 2004
We show that Green functions of second-order differential operators with singular or unbounded coefficients can have an anomalous behaviour in comparison to the well-known properties of Green functions of operators with bounded coefficients.
Bialynicki-Birula I   +14 more
core   +1 more source

Intrinsic chiroptical responsivity in self‐powered organic photodiodes for polarization‐tunable optical convolution

open access: yesInfoMat, EarlyView.
Self‐powered chiral organic photodiodes function as polarization‐sensitive convolutional filters for circularly polarized light‐driven optical convolutional neural networks. This conceptually innovative architecture enables dynamic weight modulation, bias‐free operation, and exceptional noise resilience, boosting feature extraction fidelity from 0.15 ...
Lixuan Liu   +9 more
wiley   +1 more source

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