Results 201 to 210 of about 13,641 (300)
Coding for channels with intermittent feedback and its security analysis. [PDF]
Yang J, Huang Q, Lin Y.
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
Image processing with Optical matrix vector multipliers implemented for encoding and decoding tasks. [PDF]
Kim M, Kim Y, Park WI.
europepmc +1 more source
AI‐BioMech is a deep learning framework that predicts the mechanical behavior of biological cellular materials directly from 2D images. By replacing traditional finite element analysis with semantic segmentation, it identifies stress and strain distributions with 99% accuracy, offering a high‐speed, scalable alternative for analyzing complex, aperiodic
Haleema Sadia +2 more
wiley +1 more source
Imaging-Based Spatial Transcriptomics: Data Interpretation Methods and Biomedical Applications. [PDF]
Li W, Zhou Y.
europepmc +1 more source
This research demonstrates that the combination of domain knowledge–based multiple regression, multi‐objective Bayesian optimization, and generative models is a suitable prediction tool for candidates of high refractive index polymers, even with the constraints in the model trained on limited data. The experimental validation can reproduce the proposed
Takuya Yokoo +3 more
wiley +1 more source
Compressing and expanding optical matrix-vector multipliers for enabling optical image encoder-decoders and generators. [PDF]
Stern A.
europepmc +1 more source
Artificial intelligence is redefining network pharmacology (NP). By integrating knowledge graph engineering, geometric deep learning, multiomics anchoring, and generative reasoning, AI‐driven NP (AI‐NP) transforms static target mapping into dynamic, predictive modeling.
Cong Wang +9 more
wiley +1 more source
E-MOTE: A Conceptual Framework for Emotion-Aware Teacher Training Integrating FACS, AI and VR. [PDF]
D'Acri RP, Demarco F, Soranzo A.
europepmc +1 more source

