Results 201 to 210 of about 3,058 (255)
Uncertainty‐Guided Selective Adaptation Enables Cross‐Platform Predictive Fluorescence Microscopy
Advanced Intelligent Discovery, EarlyView.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
On metrics for subpopulation detection in single-cell and spatial omics data. [PDF]
Nucleic Acids ResLuo S +3 more
europepmc +1 more source
Advanced Intelligent Discovery, EarlyView.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
Federated TriNet-AQ: Explainable english proficiency classification in augmented and virtual reality learning. [PDF]
PLoS OneZhang C, Liu Z.
europepmc +1 more source
Advanced Intelligent Systems, Volume 7, Issue 3, March 2025.This review aims to provide a broad understanding for interdisciplinary researchers in engineering and clinical applications. It addresses the development and control of magnetic actuation systems (MASs) in clinical surgeries and their revolutionary effects in multiple clinical applications.
Yingxin Huo +3 more
wiley +1 more source
Hybrid reinforcement learning optimization of aging aware energy management and powertrain sizing in fuel cell hybrid electric vehicles. [PDF]
Sci RepMostashiri A, Montazeri-Gh M.
europepmc +1 more source
Advanced Intelligent Systems, Volume 7, Issue 3, March 2025.A laser pointer‐guided robotic grasping method for arbitrary objects based on promptable segment anything model and force‐closure analysis is presented. Grasp generation methods based on force‐closure analysis can calculate the optimal grasps for objects through their appearances. However, the limited visual perception ability makes robots difficult to
Yan Liu +5 more
wiley +1 more source
Deep Reinforcement Learning-Based Intelligent Water Level Control: From Simulation to Embedded Implementation. [PDF]
Sensors (Basel)Cusihuallpa-Huamanttupa K +6 more
europepmc +1 more source