Results 111 to 120 of about 297,382 (270)

Federated Gaussian Mixture Models

This paper introduces FedGenGMM, a novel one-shot federated learning approach for Gaussian Mixture Models (GMM) tailored for unsupervised learning scenarios. In federated learning (FL), where multiple decentralized clients collaboratively train models without sharing raw data, significant challenges include statistical heterogeneity, high communication
Pettersson, Sophia Zhang, Liang, Kuo-Yun, Andresen, Juan Carlos   +2 more
openaire   +2 more sources

Coherent Control of Nitrogen Nuclear Spins via the VB−${\rm V}_B^-$‐Center in Hexagonal Boron Nitride

Advanced Functional Materials, EarlyView.
This study demonstrates coherent control of 15N nuclear spins coupled to VB−${\text{V}}_{\text{B}}^{-}$ centers in isotope‐enriched hexagonal boron nitride. Selective addressing via spin‐state mixing enables Rabi driving, quantum gates, and coherence times exceeding 10 μs$\umu{\rm s}$.
Adalbert Tibiássy, Charlie J. Patrickson, Thomas Poirier, James H. Edgar, Bruno Lopez‐Rodriguez, Viktor Ivády, Isaac J. Luxmoore   +6 more
wiley   +1 more source

Pricing and Inference with Mixtures of Conditionally Normal Processes. [PDF]

We consider the problems of derivative pricing and inference when the stochastic discount factor has an exponential-affine form and the geometric return of the underlying asset has a dynamics characterized by a mixture of conditionally Normal processes ...
Bertholon, H., Monfort, A., Pegoraro, F.
core  

Counterion Dependent Side‐Chain Relaxation Stiffens a Chemically Doped Thienothiophene Copolymer

Advanced Functional Materials, EarlyView.
Oxidation of a thienothiophene copolymer, p(g3TT‐T2), via different doping strategies and dopant molecules resulted in materials with similar oxidation levels and a high electrical conductivity of ≈100 S cm−1. However, mechanical properties varied significantly, with sub‐glass transition temperatures and elastic moduli spanning from –44°C to –3°C and ...
Mariavittoria Craighero, Meghna Jha, Elsa Veronica Flores‐Vela, Joost Kimpel, Andreas Schaefer, Jiali Guo, Jesika Asatryan, Alberto Peinador Veiga, Shuichi Haraguchi, Per‐Anders Carlsson, Jaime Martín, Mariano Campoy‐Quiles, Christian Müller   +12 more
wiley   +1 more source

A Probabilistic Multimedia Retrieval Model and Its Evaluation

EURASIP Journal on Advances in Signal Processing, 2003
We present a probabilistic model for the retrieval of multimodal documents. The model is based on Bayesian decision theory and combines models for text-based search with models for visual search.
de Jong Franciska, Hiemstra Djoerd, Westerveld Thijs, de Vries Arjen P, van Ballegooij Alex   +4 more
doaj   +1 more source

Determining classes of food items for health requirements and nutrition guidelines using Gaussian mixture models. [PDF]

Front Nutr, 2023
Balakrishna Y, Manda S, Mwambi H, van Graan A.   +3 more
europepmc   +1 more source

High Entropy Wide‐Bandgap Borates with Broadband Luminescence and Large Nonlinear Optical properties

Advanced Functional Materials, EarlyView.
High‐entropy rare‐earth borates exhibit excellent nonlinear optical and broadband luminescence properties arising from multi‐component doping, chemical disorder, increased configurational entropy, and increased lattice and electronic anharmonicity. This formulation enabled us to obtain a large, environmentally stable single crystal with 3X higher laser‐
Saugata Sarker, Yu Wang, Yongwen Sun, Caeli Benyacko, Saeed S.I. Almishal, Tao Zhou, Zhiyu Zhang, Jadupati Nag, Himirkanti Sarkar, Jeffrey Shallenberger, Hemant Yennawar, Yang Yang, Jon‐Paul Maria, Zhiqiang Mao, Venkatraman Gopalan   +14 more
wiley   +1 more source

A fast level set segmentation algorithm for sonar images driven by Gaussian Mixture Model probability

Alexandria Engineering Journal
Sonar images are frequently degraded by speckle noise due to the inherent scattering properties of acoustic signals, leading to blurred edges, low contrast, and uneven grayscale distributions.
Wei Tian, Zhaonan Mu, Yanyan Lu, Sujin Cai, Yan Xiong, Yu Huang   +5 more
doaj   +1 more source

Mechanistic Insights into a Synergistic FeOx/Fe‐N4 System for Practical Nitrate Abatement with Value‐Added Ammonia Recovery

Advanced Functional Materials, EarlyView.
This work provides a novel interpretation of the nitrate reduction mechanism on iron oxides (FeOx) by employing constant‐potential density functional calculations and reports the design and synthesis of a robust and high‐performance Fe3O4/Fe‐N4‐C catalyst with remarkable Faradaic efficiency, current density, and stability under practical reaction ...
Qiang Zhou, Hongzhi Liu, Shenglin Liu, Yuwei Liu, Mamiko Nakabayashi, Yunlong Xie, Naoya Shibata, Feng Gong, Jean‐Jacques Delaunay   +8 more
wiley   +1 more source

From Mechanics to Electronics: Influence of ALD Interlayers on the Multiaxial Electro‐Mechanical Behavior of Metal–Oxide Bilayers

Advanced Functional Materials, EarlyView.
Ultrathin AlOxHy interlayers between aluminum films and polymer substrates significantly improve electro‐mechanical properties of flexible thin film systems. By precisely controlling interlayer thickness using atomic layer deposition, this study identifies an optimal interlayer thickness of 5–10 nm that enhances ductility and delays cracking.
Johanna Byloff, Vivek Devulapalli, Daniele Casari, Thomas E. J. Edwards, Claus O. W. Trost, Megan J. Cordill, Shuhel Altaf Husain, Pierre‐Olivier Renault, Damien Faurie, Barbara Putz   +9 more
wiley   +1 more source