The Algorithms of Distributed Learning and Distributed Estimation about Intelligent Wireless Sensor Network. [PDF]
Tan F.
europepmc +1 more source
Multimodal Data‐Driven Microstructure Characterization
A self‐consistent autonomous workflow for EBSP‐based microstructure segmentation by integrating PCA, GMM clustering, and cNMF with information‐theoretic parameter selection, requiring no user input. An optimal ROI size related to characteristic grain size is identified.
Qi Zhang +4 more
wiley +1 more source
Foundation model-driven distributed learning for enhanced retinal age prediction. [PDF]
Nielsen C, Souza R, Wilms M, Forkert ND.
europepmc +1 more source
Distributed Learning Based Joint Communication and Computation Strategy of IoT Devices in Smart Cities. [PDF]
Liu T, Luo R, Xu F, Fan C, Zhao C.
europepmc +1 more source
We develop a data‐driven method to derive the mathematical expressions of the Flory–Huggins interaction parameter χ for the swelling behavior of temperature–responsive hydrogels. Starting from initial assumptions of χ, our workflow combines Bayesian optimization, Flory–Rehner theory, and symbolic regression to generate candidate χ expressions.
Yawen Wang +2 more
wiley +1 more source
Efficient Nonparametric Estimation of 3D Point Cloud Signals through Distributed Learning. [PDF]
Wang G, Wang Y, Gao AS, Wang L.
europepmc +1 more source
Privacy-preserving distributed learning of radiomics to predict overall survival and HPV status in head and neck cancer. [PDF]
Bogowicz M +33 more
europepmc +1 more source
Microstructure Evolution of a VMnFeCoNi High‐Entropy Alloy After Synthesis, Swaging, and Annealing
The synthesis and processing (rotary swaging and annealing) of the novel VMnFeCoNi alloy is investigated, alongside the estimation of the grain size effect on hardness. Analysis of a wide grain size range of recrystallized microstructures (12–210 µm) reveals a low annealing twin density.
Aditya Srinivasan Tirunilai +6 more
wiley +1 more source
HarmonyTM: multi-center data harmonization applied to distributed learning for Parkinson's disease classification. [PDF]
Souza R +9 more
europepmc +1 more source

