Results 121 to 130 of about 1,486,932 (305)
High-Order Sequential Simulation via Statistical Learning in Reproducing Kernel Hilbert Space. [PDF]
Yao L, Dimitrakopoulos R, Gamache M.
europepmc +1 more source
This study presents an anatomical landmark‐guided DRL framework for autonomous wireless capsule endoscopy navigation. Using a lightweight edge‐contour‐depth fusion module, it achieves over 97% coverage across diverse gastric anatomies. To ensure reliability, a two‐stage sim‐to‐real pipeline with an adaptive dynamic programming controller mitigates ...
Haoxuan Wu +16 more
wiley +1 more source
This report is concerned with the theory of reproducing kernels. First, a background of elementary facts about Hilbert spaces is given. The most important theorems are the projection and Riesz theorems. Some examples are provided to show how the theory of Hilbert spaces can be applied to mathematical problems.
openaire +1 more source
Achieving High‐Density and Stress‐Resilient Maize Breeding Via Germplasm Innovation
Global population growth and climate change have exacerbated the global food crisis. This perspective presents a conceptual framework focusing on enhancing population advantages. Several novel breeding objectives are proposed to improve density tolerance and stress resistance for yield improvement.
Xinlong Li +9 more
wiley +1 more source
A Correlative SICM‐OPM Platform for Surface and Volumetric Imaging in Live Cells
A multifunctional correlative imaging platform integrating Scanning Ion Conductance Microscopy (SICM) with Oblique Plane Microscopy (OPM) enables simultaneous surface topography, mechanical mapping, and 3D volumetric fluorescence imaging in live cells.
Wenzhi Hong +13 more
wiley +1 more source
The Distinguished Reproducing Kernel
The Distinguished Reproducing Kernel (DRK) is an unnormalized kernel K : Σ×Σ → ℂ satisfying a single self-consistency condition: K is the reproducing kernel of the space of functions defined by the geometry K itself induces on the configuration space Σ. The DRK carries two naturally associated objects.
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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
Reproducing Kernels and Beurling's Theorem [PDF]
openaire +2 more sources
Precipitation‐modulated recrystallization enables a programmable bimodal harmonic architecture in a high‐entropy alloy, delivering 1–2 GPa yield strength with >10% ductility from −196 °C to 700 °C. The resulting broad‐temperature robustness arises from the synergy of dual‐mode nanoprecipitation, harmonic core–shell topology, and temperature‐adaptive ...
Wei Li +5 more
wiley +1 more source
Kernel VICReg for Self-Supervised Learning in Reproducing Kernel Hilbert Space
Self-supervised learning (SSL) has emerged as a powerful paradigm for representation learning by optimizing geometric objectives, such as invariance to augmentations, variance preservation, and feature decorrelation, without requiring labels.
M. Hadi Sepanj +3 more
doaj +1 more source

