Results 161 to 170 of about 6,178,397 (360)
Polyp Segmentation Based on Multilevel Information Correction Transformer
This paper proposes a precise and reliable polyp segmentation method using multilevel Information Correction transformer. Unlike the conventional direct fusion approach, it harnesses the strengths of transformers in modeling global information and ...
Ju Yuan, Guoqi Liu, Haewoon Nam
doaj +1 more source
Who's learning? Using within-family studies to understand personalized learning. [PDF]
von Stumm S, Wertz J.
europepmc +1 more source
Multiphase printable organohydrogels with tunable microstructures are developed to control molecular transport pathways for immiscible cargo. The tortuosity and domain size of the colloidal phases are tuned by adjusting temperature and shear during processing, which enables the tailoring of diffusion kinetics due to different transport pathways.
Riley E. Dowdy‐Green +4 more
wiley +1 more source
Infusing Expert Knowledge Into a Deep Neural Network Using Attention Mechanism for Personalized Learning Environments. [PDF]
Tato A, Nkambou R.
europepmc +1 more source
Materials and System Design for Self‐Decision Bioelectronic Systems
This review highlights how self‐decision bioelectronic systems integrate sensing, computation, and therapy into autonomous, closed‐loop platforms that continuously monitor and treat diseases, marking a major step toward intelligent, self‐regulating healthcare technologies.
Qiankun Zeng +9 more
wiley +1 more source
Layer-based personalized multi-fusion federated learning
Historical data form the foundation for information system modelling. Yet, clients typically do not share it due to concerns about data privacy and security.In the absence of data, it is impossible to identify a model that yields optimal decisions for ...
Wangzhuo Yang, Bo Chen, Zheming Wang
doaj +1 more source
Recent Progress on Flexible Multimodal Sensors: Decoupling Strategies, Fabrication and Applications
In this review, we establish a tripartite decoupling framework for flexible multimodal sensors, which elucidates the underlying principles of signal crosstalk and their solutions through material design, structural engineering, and AI algorithms. We also demonstrate its potential applications across environmental monitoring, health monitoring, human ...
Tao Wu +10 more
wiley +1 more source
Personalized client-edge-cloud hierarchical federated learning in mobile edge computing
Mobile edge computing aims to deploy mobile applications at the edge of wireless networks. Federated learning in mobile edge computing is a forward-looking distributed framework for deploying deep learning algorithms in many application scenarios.
Chunmei Ma +4 more
doaj +1 more source

