Results 101 to 110 of about 859,326 (258)

Privacy-preserving Maximum Likelihood Estimation for Distributed Data

open access: yes, 2010
Recent technological advances enable the collection of huge amounts of data. Commonly, these data are generated, stored, and owned by multiple entities that are unwilling to cede control of their data. This distributed environment requires statistical
Xiaodong Lin, Alan F. Karr
core   +1 more source

Advances in Sustainable and Wearable Textile Based Soft Robotics

open access: yesAdvanced Functional Materials, EarlyView.
This Review examines advances in wearable textile‐based soft robotics, focusing on sustainable materials, integrated sensing, and scalable actuation. It discusses manufacturing and system integration across healthcare, assistive robotics, prosthetics, and human–machine interfaces, and highlights key challenges in circular design, including life‐cycle ...
Zahir Abbas   +6 more
wiley   +1 more source

Electrospun Wood‐Derived Biopolymers as Electrodes in Electrochemical Energy Storage Technologies

open access: yesAdvanced Functional Materials, EarlyView.
Electrospinning transforms wood‐derived cellulose and lignin into architecturally defined, binder‐free carbon electrodes with tuneable porosity and functionality. This review shows how fibre design enables decoupled charge and mass transport, enhancing performance across battery systems, while identifying key challenges in spinnability, scalability ...
Michael W. Thielke   +3 more
wiley   +1 more source

Physics‐Grounded Materials Artificial Intelligence for Reliable Materials Discovery

open access: yesAdvanced Functional Materials, EarlyView.
Physics‐Grounded Materials AI (PhysMat AI) integrates physical priors, descriptors, constraints, verification, and data infrastructure into a unified full‐stack framework, enabling reliable, interpretable, and autonomous AI‐driven materials discovery.
Yuhang Wang   +3 more
wiley   +1 more source

Privacy-Preserving Synthetic Mammograms: A Generative Model Approach to Privacy-Preserving Breast Imaging Datasets

open access: yesInformatics
Background: Significant progress has been made in the field of machine learning, enabling the development of methods for automatic interpretation of medical images that provide high-quality diagnostics.
Damir Shodiev   +3 more
doaj   +1 more source

Privacy-Preserving Sensing and Two-Stage Building Occupancy Prediction using Random Forest Learning

open access: yes, 2020
Manuscript draft of a privacy-preserving system for detecting and predicting occupancy in a building, deployed in a real ...
Grigore Stamatescu (8702745)   +1 more
core   +1 more source

Genetically Programmed Shape‐Morphing of Engineered Living Materials

open access: yesAdvanced Functional Materials, EarlyView.
Here, bacterial and mammalian engineered living materials (ELMs) are presented, in which living cells direct genetically programmed and enzymatically mediated shape‐morphing. The resulting deformation and shape‐recovery can be actuated in a genetically controlled manner by an ELM incorporating out‐of‐equilibrium counteracting biochemical reactions with
Jan Becker   +7 more
wiley   +1 more source

Preserving privacy in healthcare: A systematic review of deep learning approaches for synthetic data generation

open access: yes
Background: Data sharing in healthcare is vital for advancing research and personalized medicine. However, the process is hindered by privacy, ethical, and legal challenges associated with patient data.
Tan, Jen Hong   +2 more
core   +1 more source

Out‐of‐Plane Strain‐Decoupled Architecture for High‐Fill‐Factor Stretchable OLED Displays

open access: yesAdvanced Functional Materials, EarlyView.
A vertically decoupled multilayer SOLED architecture separates emissive pixel islands from deformable interconnects, allowing low‐modulus elastomeric layers to accommodate applied strain and suppress strain transfer to the OLED region. This design, combined with transparent hybrid encapsulation, enables a high fill factor (∼75%), stretchability ...
Young Hyun Son   +2 more
wiley   +1 more source

Atomic‐Scale Visualization of Topotactic Resistive Switching in Epitaxial La0.5Sr0.5CoOx Neuromorphic Memristors

open access: yesAdvanced Functional Materials, EarlyView.
Forming‐free epitaxial Pt/La0.5Sr0.5CoOx (LSCO)/La0.5Sr0.5MnO3 (LSMO) memristors exhibit heterogeneous and partially reversible topotactic switching involving brownmillerite (BM)‐, Grenier (GN)‐like‐, and perovskite (PV)‐like configurations. Atomic‐resolution scanning transmission electron microscopy and in situ transmission electron microscopy resolve
Zi‐Qin Hong   +5 more
wiley   +1 more source

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