Results 141 to 150 of about 237,500 (306)

Empowering Biomedical Research with Foundation Models in Computational Microscopy: A Systematic Review

open access: yesAdvanced Intelligent Systems, EarlyView.
The integration of foundation models into computational microscopy revolutionizes biomedical research by enhancing imaging resolution, accelerating data analysis, and enabling real‐time biological interpretation. This systematic review critically examines recent advancements, highlights translational challenges, and discusses the transformative ...
Di Ding   +5 more
wiley   +1 more source

Flexible Strain Sensor Enabled by Back Propagation Neural Network for Gesture Recognition

open access: yesAdvanced Intelligent Systems, EarlyView.
By combining 3D printing with microfluidics, a flexible strain sensor has been developed in a convenient, safe, and effective way. Consisting of a conductive microfiber with a polyurethane shell and a liquid metal core, the sensor exhibits excellent conductivity and stretchability.
Yikai Wu   +4 more
wiley   +1 more source

Improving Long‐Term Glucose Prediction Accuracy with Uncertainty‐Estimated ProbSparse‐Transformer

open access: yesAdvanced Intelligent Systems, EarlyView.
Wearable devices collect blood glucose and other physiological data, which serve as inputs to the prediction model. After data embedding, a structure utilizing ProbSparse self‐attention and a one‐step generative head within a Transformer‐based model is introduced, which is concurrently designed for deployment on edge devices, enabling real‐time ...
Wei Huang   +5 more
wiley   +1 more source

PARTIZIP II, PAST PARTICIPLE AND RESULTATIVITY

open access: yesІноземна філологія
The article deals with Partizip II and the perfective past participle as carriers of resultative semantics in German and Ukrainian, respectively. Resultativity is closely related to the concepts of the telicity (boundedness) and perfectivity of an ...
Oksana Smerechynska
doaj   +1 more source

Reasoning about Unreliable Actions [PDF]

open access: yes, 2012
We analyse the philosopher Davidson's semantics of actions, using a strongly typed logic with contexts given by sets of partial equations between the outcomes of actions.
White, Graham
core  

EndoARSS: Adapting Spatially Aware Foundation Model for Efficient Activity Recognition and Semantic Segmentation in Endoscopic Surgery

open access: yesAdvanced Intelligent Systems, EarlyView.
This article introduces EndoARSS, a novel multitask learning framework that combines surgical activity recognition and semantic segmentation for endoscopic surgery. Utilizing the foundation model with novel modules like task efficient shared low‐rank adapters and spatially aware multiscale attention, EndoARSS can effectively tackle challenges in ...
Guankun Wang   +5 more
wiley   +1 more source

Anchoring Morphological Representations Unlocks Latent Proprioception in Soft Robots

open access: yesAdvanced Intelligent Systems, EarlyView.
The authors present ProSoRo, a proprioceptive soft robot that anchors morphological states to a single internal reference frame and employs a multimodal variational autoencoder for crossmodal inference, revealing latent proprioception that enables accurate force and shape estimation, interpretable morphing primitives, robust sim‐to‐real transfer, and ...
Xudong Han   +4 more
wiley   +1 more source

CONCERNING ACTION SEMANTIC VERBS

open access: yes, 2022
Active action in language includes actions - processes in nature and society, in the animal kingdom, according to the objective basis of semantic verbs. That is, action verbs differ from lexemes in that they belong to a different semantic field by their breadth and complexity, versatility, and the fact that they represent different actions specific to ...
openaire   +2 more sources

Tumor Auxiliary Prediction Strategy Based on Multiscale Feature Fusion in Medical Decision‐Making System

open access: yesAdvanced Intelligent Systems, EarlyView.
GA: MCFFS method architecture. Pathological images are processed by the multi‐level feature information fusion (MLFF) method and the multi‐scale feature map fusion strategy to achieve the recognition result of cell nuclei. The MLFF module contains convolution blocks, spatial self‐attention, and atrous spatial pyramid pooling.
Yingqing Lu   +3 more
wiley   +1 more source

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