Results 191 to 200 of about 157,159 (302)
Deep learning‐based denoising models are applied to DNA data storage systems to enhance error reduction and data fidelity. By integrating DnCNN with DNA sequence encoding methods, the study demonstrates significant improvements in image quality and correction of substitution errors, revealing a promising path toward robust and efficient DNA‐based ...
Seongjun Seo +5 more
wiley +1 more source
Ephaptic coupling and the source-sink effect of cardiac conduction. [PDF]
Pan J +4 more
europepmc +1 more source
Evolution of Physical Intelligence Across Scales
By following the evolution of physical intelligence across scales, this article shows how intelligence arises from materials, structures, physical interactions, and collectives. It establishes physical intelligence as the evolutionary foundation upon which embodied intelligence is built.
Ke Liu +7 more
wiley +1 more source
Compensated Single-Phase Rectifier
Paper describes methods of rectified DC pulsation reduction adding a compensation node to a single phase rectifier. Device is related to converters of electrical energy and it can be used in power electronics.
Beniusis, Vytautas +2 more
core
Scalable lens-enhanced broadbeam mmWave harvester delivering tens of milliwatts for wireless power transfer in next-generation smart city environments. [PDF]
Joshi M +3 more
europepmc +1 more source
Uncertainty‐Guided Selective Adaptation Enables Cross‐Platform Predictive Fluorescence Microscopy
Deep learning models often fail when transferred to new microscopes. A novel framework overcomes this by selectively adapting the early layers governing low‐level image statistics, while freezing deep layers that encode morphology. This uncertainty‐guided approach enables robust, label‐free virtual staining across diverse systems, democratizing ...
Kai‐Wen K. Yang +9 more
wiley +1 more source
Chaos and Coexisting Attractors of Kolmogorov-Type Permanent-Magnet Synchronous Generators. [PDF]
Wang D.
europepmc +1 more source
Matrix‐assisted laser desorption/ionization imaging‐based identification of reliable small molecule markers across heterogeneous glioblastoma cohorts is challenging with intensity‐only methods. We present spatially informed feature selection (SIFS), a spatially informed framework that prioritizes molecules consistently colocalizing with histopathology.
Shad A. Mohammed +15 more
wiley +1 more source
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
An Alternative Current Device to Simplify Leakage Detection in Complex DC Systems. [PDF]
Mercer BM +6 more
europepmc +1 more source

