Results 171 to 180 of about 7,877,596 (288)
Federated brain tumor segmentation with patient-level local differential privacy [PDF]
Federated Learning (FL) facilitates collaborative training of machine learning models across distributed datasets held privately by multiple institutions, such as hospitals with sensitive medical imaging data, without centralized sharing of raw patient ...
Obradovic, Joni
core
Advanced Robotics Research, EarlyView.This review maps the methods to monitor robots’ health by fusing vibration, sound, control signals, vision, force, and oil information with artificial intelligence. It identifies deep learning, transfer learning, digital twins, and physics‐informed models as key methodological pathways enabling earlier diagnosis, safer human–robot collaboration, and ...
Yuting Qiao +6 more
wiley +1 more source
A Low‐Cost, Handheld Optical Stiffness Sensor for Minimally Invasive Surgery
Advanced Robotics Research, EarlyView.A novel handheld stiffness sensor is presented for real‐time tissue stiffness characterization. By simultaneously sensing contact force and tissue deformation, the device enables accurate stiffness quantification without requiring precise manual control. This approach offers a promising solution for intraoperative tumor detection and minimally invasive
Qianyu Ma +4 more
wiley +1 more source
Real-Time Trajectory Publishing in Mobile Crowdsensing Under Local Differential Privacy. [PDF]
Entropy (Basel)Zhang H, Chen L, Fang H, Lai J, Sun X.
europepmc +1 more source
Advanced Robotics Research, EarlyView.Flexible surgical robots are advancing minimally invasive interventions for cardiovascular diseases and cancer by enabling precise navigation through complex, submillimeter anatomical pathways. This review highlights recent innovations in actuation, bio‐integrated sensing, AI‐assisted control, and friction‐reduction technologies, discusses current ...
Hermione Truong +14 more
wiley +1 more source
Assessment of data privatization methods under local differential privacy in the banking sector
In today’s data-driven world, protecting personal information has become a critical challenge as organizations increasingly rely on large-scale data collection for decision-making. Local Differential Privacy (LDP) offers a compelling solution by allowing
López Ardila, Laura Valentina
core
Solid Harmonic Wavelet Bispectrum for Image Analysis
Advanced Science, EarlyView.The Solid Harmonic Wavelet Bispectrum (SHWB), a rotation‐ and translation‐invariant descriptor that captures higher‐order (phase) correlations in signals, is introduced. Combining wavelet scattering, bispectral analysis, and group theory, SHWB achieves interpretable, data‐efficient representations and demonstrates competitive performance across texture,
Alex Brown +3 more
wiley +1 more source
Differential Privacy: A Primer for a Non-Technical Audience
, 2019 Differential privacy is a formal mathematical framework for quantifying and managing privacy risks. It provides provable privacy protection against a wide range of potential attacks, including those currently unforeseen. Differential privacy is primarily
Honaker, James +9 more
core +1 more source
Information-Theoretic Limits and One-Bit Estimation of Sparse Relation Matrices Under Personalized Local Differential Privacy and Byzantine Contamination. [PDF]
Entropy (Basel)Ouyang J, Liu J.
europepmc +1 more source
Advanced Science, EarlyView.The adipocyte MKK3–p38β axis emerges as an adaptive stress‐response pathway during obesity. Human visceral adipose tissue analyses, adipocyte‐specific mouse models, and primary adipocytes show that the MKK3–p38β axis supports insulin responsiveness by restraining p70S6K‐dependent inhibitory IRS1 feedback and preserving AKT–GLUT4 signaling. This pathway
Edgar Bernardo +20 more
wiley +1 more source