Results 131 to 140 of about 3,330 (300)
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
The fractional Fourier transform (FRFT) is one among the most efficient techniques for digital signal processing of linear frequency modulated (LFM) signal applications. Chirp (or LFM) modulation spread spectrum (CMSS) with FRFT technique is employed for
Mahesh, H.M. +7 more
core +1 more source
Equilibrium Propagation for Dissipative Dynamics
This work develops local learning rules for damped linear dynamical systems, including mechanical structures and resistor‐inductor‐capacitor (RLC) circuits, by leveraging an effective action formulation. It demonstrates how physical systems can autonomously compute gradients and learn temporal patterns, enabling applications such as sound ...
Marc Berneman, Daniel Hexner
wiley +1 more source
A Hybrid Cryptosystem Incorporating a New Algorithm for Improved Entropy
Today, safeguarding sensitive content through encryption is crucial. This work presents a hybrid cryptosystem for images that employs both asymmetric and symmetric encryption. The asymmetric component involves applying the Diffie–Hellman protocol and the
Víctor Manuel Silva-García +2 more
doaj +1 more source
Complex dynamics, often avoided in electromechanical design, can enhance soft robotics. We develop durable magnetic soft actuators operating in tunable dynamic regimes, enabling random number generation, stochastic computing, and time‐series prediction.
Eduardo Sergio Oliveros‐Mata +14 more
wiley +1 more source
Scene‐Customized Learning for Multi‐Depth 3D Phase‐Only Hologram Generation
Scene‐customized geometric modeling constructs GM‐4K, a controllable 4K RGB‐D dataset for learning‐based multi‐depth hologram generation. By tuning intensity spectra and depth‐region sampling, the dataset reveals how training‐data statistics affect phase‐only hologram encoding and supports a spectral test framework for evaluating model generalization ...
Yanan Zhang +5 more
wiley +1 more source
Rice origin traceability using mid-infrared and fluorescence spectral data fusion
This study overcomes the limitations of traditional single-spectroscopy techniques by constructing an intelligent discrimination system for rice geographic origin that integrates mid-infrared (MIR) and fluorescence (FLU) spectral feature fusion with ...
Changming Li +7 more
doaj +1 more source
Spectral Response Modelling of Multilayer Graphene/Quantum Dot Heterostructures
The spectral response of a multilayer heterostructure device with multiple layers of graphene and photosensitizers of different bandgaps (ZnO and quantum dots) is simulated and validated with experimental data. Our simulation incorporates photon absorption by the photosensitizers and charge collection by graphene, capturing the photoresponse dependence
Ju Ying Shang +2 more
wiley +1 more source
“A simple 1D transfer matrix model of a battery is introduced and parametrized using harvested individual cell components at 0 % and 100 % SoC. This model allows for the calculation of group velocity and attenuation. The results of the model show good agreement with measured values, highlighting increased attenuation and group velocity at the ...
Simon Feiler +3 more
wiley +1 more source
Oxidative fast pyrolysis of biomass enables autothermal production of value‐added products. ABSTRACT Oxidative fast pyrolysis can potentially overcome the heat‐supply bottleneck of conventional fast pyrolysis by enabling autothermal operation while also tailoring product quality through controlled oxygen addition.
Bin Li +15 more
wiley +1 more source

