Results 51 to 60 of about 1,645,629 (287)

Secret charing vs. encryption-based techniques for privacy preserving data mining [PDF]

, 2007
Privacy preserving querying and data publishing has been studied in the context of statistical databases and statistical disclosure control. Recently, large-scale data collection and integration efforts increased privacy concerns which motivated data ...
Pedersen, Thomas Brochmann, Savas, Erkay, Savaş, Erkay, Saygin, Yucel, Saygın, Yücel   +4 more
core  

Privacy Preserving Data Mining by Using Implicit Function Theorem

, 2013
Data mining has made broad significant multidisciplinary field used in vast application domains and extracts knowledge by identifying structural relationship among the objects in large data bases.
Narsimha, Gugulothu, Rajesh, Pasupuleti
core   +1 more source

Characteristics and outcomes of male participants in the Australian Scleroderma Cohort Study (ASCS).

Arthritis Care &Research, Accepted Article.
Objective To determine the differences in demographic, serologic and clinical characteristics between male and female patients with systemic sclerosis (SSc) in an Australian cohort. Methods Retrospective observational study using data from the Australian Scleroderma Cohort Study (ASCS). Males (M) were compared to females (F) using chi‐squared, Wilcoxon
Emily Lin, Dylan Hansen, Laura Ross, Gene‐Siew Ngian, Susanna Proudman, Gabor Major, Maryam Tabesh, Mandana Nikpour, Jennifer Walker, Lauren Host, Nava Ferdowsi, Alannah Quinlivan, Wendy Stevens, Joanne Sahhar, Diane Apostolopoulos   +14 more
wiley   +1 more source

What Do Large Language Models Know About Materials?

Advanced Engineering Materials, EarlyView.
If large language models (LLMs) are to be used inside the material discovery and engineering process, they must be benchmarked for the accurateness of intrinsic material knowledge. The current work introduces 1) a reasoning process through the processing–structure–property–performance chain and 2) a tool for benchmarking knowledge of LLMs concerning ...
Adrian Ehrenhofer, Thomas Wallmersperger, Gianaurelio Cuniberti   +2 more
wiley   +1 more source

Electrochemical Evaluation of Compressed Selective Laser Melted AlSi7Mg and AlSi10Mg Alloys in Chloride Environment

Advanced Engineering Materials, EarlyView.
The corrosion performance of AlSi7Mg and AlSi10Mg alloys produced through selective laser melting (SLM) was examined under compressive stress in a chloride environment. Electrochemical analyses, including open‐circuit potential (OCP), potentiodynamic polarization (CPP), and electrochemical impedance spectroscopy (EIS), were complemented by scanning ...
Femi John Akinfolarin, Samson Dare Oguntuyi, Peter Apata Olubambi   +2 more
wiley   +1 more source

A Bayesian network approach to the study of historical epidemiological databases: modelling meningitis outbreaks in the Niger

Bulletin of the World Health Organization, 2012
OBJECTIVE: To develop a tool for evaluating the risk that an outbreak of meningitis will occur in a particular district of the Niger after outbreaks have been reported in other, specified districts of the country.
A Beresniak, E Bertherat, W Perea, G Soga, R Souley, D Dupont, S Hugonnet   +6 more
doaj   +1 more source

Incremental Road Network Update Method with Trajectory Data and UAV Remote Sensing Imagery

ISPRS International Journal of Geo-Information, 2022
GPS trajectory and remote sensing data are crucial for updating urban road networks because they contain critical spatial and temporal information.
Jianxin Qin, Wenjie Yang, Tao Wu, Bin He, Longgang Xiang   +4 more
doaj   +1 more source

Innovative Processing of Compacted Waste Aluminum Alloy Powders via Controlled Remelting and Solidification

Advanced Engineering Materials, EarlyView.
This study demonstrates an efficient recycling route for out‐of‐spec AlSi10Mg atomized powders through compaction and arc remelting followed by suction casting. By correlating compaction load, cooling rate, and resulting microstructure, we show that intermediate pressures (50–80 kN) and rapid cooling refine dendrites, reduce porosity, and enhance ...
Mila Christy de Oliveira, Marcella Gaute Cavalcante Xavier, Abdoul‐Aziz Bogno, Piter Gargarella, José Eduardo Spinelli   +4 more
wiley   +1 more source

Multisource Data Fusion With Graph Convolutional Neural Networks for Node-Level Traffic Flow Prediction

Journal of Advanced Transportation
With the rapid development of transport technology and the increasing complexity of traffic patterns, integrating multiple data sources for traffic flow prediction has become crucial to overcome the defects of a single data source.
Lei Huang, Jianxin Qin, Tao Wu
doaj   +1 more source

Application of Raman and Photoluminescence Spectroscopy to MgO‐C Refractories

Advanced Engineering Materials, EarlyView.
Visible to near infrared luminescence of MgO is studied on MgO‐C bricks and nominally pure MgO powder, with focus on two similar sharp high‐intensity signals, at 699 and 871 nm, each surrounded by symmetrical sidebands. The nature of these sidebands is investigated by temperature‐dependent spectroscopic measurements, confirming phonon involvement by ...
Julia Richter, Felix Drechsler, Till M. J. Stadtmüller, Cameliu Himcinschi, Christos G. Aneziris, Jens Kortus   +5 more
wiley   +1 more source