Results 181 to 190 of about 31,999 (310)
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 Elastic Fluctuation Tensor: Quantifying Stochastic Fluctuations of the Apparent Stiffness of Non-representative Microstructure Volume Elements. [PDF]
Krause M, Schneider M.
europepmc +1 more source
This paper presents a high‐speed object pose estimation method that deconstructs objects into geometric components. Inspired by human cognitive generalization, it detects these primitives and infers the 6D pose from their stable spatial configuration.
Xuyang Li +6 more
wiley +1 more source
This work presents a bio‐inspired computing framework for Parkinson's disease analog recognition using electroencephalogram signals. Temporally encoded EEG features stimulate a mycelium‐inspired memristive reservoir, where disease‐related patterns emerge through physical spatiotemporal dynamics.
Ioannis K. Chatzipaschalis +5 more
wiley +1 more source
Linearizing and Forecasting: A Reservoir Computing Route to Digital Twins of the Brain. [PDF]
Di Antonio G +3 more
europepmc +1 more source
Stochastic Games on a Product State Space
We examine product-games, which are n-player stochastic games satisfying: (1) the state space is a product S(1)Ãâ¦ÃS(n); (2) the action space of any player i only depends of the i-th coordinate of the state; (3) the transition probability of moving from ...
Schoenmakers, Gijs +2 more
core
This paper introduces a resource‐aware Contrastive Scattering Meta‐Learning (CSML) framework for acoustic anomaly detection. By leveraging training‐free wavelet scattering and metric‐based meta‐learning, the model achieves competitive performance with only 50 K learnable parameters—a 98% reduction compared to state‐of‐the‐art frameworks—enabling ...
Rami Zewail, Bassem Mokhtar
wiley +1 more source
Robust topology and dispatch optimization for renewable distribution networks with electric vehicle mobility uncertainty. [PDF]
Xu L, Jiang J, Hu S, Wang T, Dong J.
europepmc +1 more source
Physics‐Informed Neural Networks (PINNs) provide a framework for integrating physical laws with data. However, their application to Prognostics and Health Management (PHM) remains constrained by the limited uncertainty quantification (UQ) capabilities.
Ibai Ramirez +4 more
wiley +1 more source
Tree type-specific endophytic bacterial assembly and function in senescing leaves and needles in temperate forests of Central Europe. [PDF]
Ji L +6 more
europepmc +1 more source

