Results 41 to 50 of about 47,561 (256)

Trajectory Clustering and k-NN for Robust Privacy Preserving Spatiotemporal Databases

open access: yesAlgorithms, 2018
In the context of this research work, we studied the problem of privacy preserving on spatiotemporal databases. In particular, we investigated the k-anonymity of mobile users based on real trajectory data.
Elias Dritsas   +3 more
doaj   +1 more source

Understanding the Burden of Orofacial Involvement and Patient Treatment Preferences in Systemic Sclerosis: Results From a Large International Survey

open access: yesArthritis Care &Research, EarlyView.
Objective Orofacial manifestations are significantly impactful in patients with systemic sclerosis (SSc) yet remain understudied, with no dedicated clinical guidelines to inform their management. Methods An international online survey comprised38 questions addressing orofacial manifestations of SSc, including patients’ confidence in their treating ...
Eleni Deligianni   +4 more
wiley   +1 more source

The PRIMA Thesaurus for Materials Science and Engineering

open access: yesAdvanced Engineering Materials, EarlyView.
The PRIMA Thesaurus is a structured vocabulary designed to improve how materials science data is described and shared. Developed with input from multiple experts, it enables clear documentation of research workflows, data exchange, and reuse across platforms.
Rossella Aversa   +8 more
wiley   +1 more source

Trajectory Clustering and k-NN for Robust Privacy Preserving k-NN Query Processing in GeoSpark

open access: yesAlgorithms, 2020
Privacy Preserving and Anonymity have gained significant concern from the big data perspective. We have the view that the forthcoming frameworks and theories will establish several solutions for privacy protection.
Elias Dritsas   +5 more
doaj   +1 more source

Miniature Soft Robot With Magnetically Reprogrammable Surgical Functions

open access: yesAdvanced Materials, EarlyView.
Miniature soft robots have great prospects to revolutionize minimally invasive treatments. Here we present a miniature soft robot, which can be reprogrammed to perform five surgical functionalities with six‐degrees‐of‐freedom motions. This soft robot can prospectively make minimally invasive surgery considerably safer and painless, and enable ...
Chelsea Shan Xian Ng   +4 more
wiley   +1 more source

Optimization-Based k-Anonymity Algorithms

open access: yesComputers & Security, 2020
<p>In this paper we present a formulation of <em>k</em>-anonymity as a mathematical <a href="https://www.sciencedirect.com/topics/computer-science/optimization-problem" target="_blank">optimization problem</a>. In solving this formulated problem, <em>k</em>-anonymity is achieved while maximizing the utility of ...
Yuting Liang, Reza Samavi
openaire   +1 more source

From Fiber Bundles to Architected Membranes: Triply Periodic Minimal Surface Architectures for Biohybrid Artificial Lungs

open access: yesAdvanced Materials, EarlyView.
Additively manufactured triply periodic minimal surface (TPMS) membranes offer an architecture‐driven alternative to hollow fiber bundles in artificial lungs. Multiphysics simulations and endothelialized prototypes show that the 3D‐printable membrane architecture improves gas exchange, blood flow distribution, and hemocompatibility, enabling ...
Michael Pflaum   +14 more
wiley   +1 more source

Generalization-Based k-Anonymization [PDF]

open access: yes, 2015
Peer ...
Eva Armengol, Vicenç Torra
openaire   +2 more sources

Material Before Morphology: Substrate‐Dependent Mechanical Tuning of Radular Teeth

open access: yesAdvanced Materials Interfaces, EarlyView.
Substrate‐dependent material tuning in Clausilia radular teeth. Closely related taxa retain a conserved gross tooth morphology, but differ in elemental composition and mechanical properties according to feeding substrate. Rock‐associated taxa show increased Ca–Si enrichment and higher stiffness and hardness, especially in the central radular region ...
Ida Lilienthal   +3 more
wiley   +1 more source

A Differentially Private (Random) Decision Tree without Noise from k-Anonymity

open access: yesApplied Sciences
This paper focuses on the relationship between decision trees, a typical machine learning method, and data anonymization. It is known that information leaked from trained decision trees can be evaluated using well-studied data anonymization techniques ...
Atsushi Waseda, Ryo Nojima, Lihua Wang
doaj   +1 more source

Home - About - Disclaimer - Privacy