Results 61 to 70 of about 859,326 (258)

Secure Outsourcing Algorithm of BTC Feature Extraction in Cloud Computing

open access: yesIEEE Access, 2020
Advances in cloud computing have aroused many researchers' interest in privacy-preserving feature extraction over outsourced multimedia data, especially private image data. Since block truncation coding (BTC) is known as a simple and efficient technology
Mingfang Jiang, Hengfu Yang
doaj   +1 more source

Privacy Preserving for Data Mining Applications [PDF]

open access: yesEngineering and Technology Journal, 2008
The results of data Mining (DM) such as association rules, classes, clusters,etc, will be readily available for working team. So the mining will penetrate theprivacy of sensitive data and makes the stolen of the knowledge resulted muchmore easily.
Soukaena Hassan Hashem   +1 more
doaj   +1 more source

Onasemnogene Abeparvovec in Patients With SMA: Interim Results of the RESTORE Registry in Japan

open access: yesAnnals of Clinical and Translational Neurology, EarlyView.
ABSTRACT Objective There are limited real‐world data regarding the safety and effectiveness of onasemnogene abeparvovec (OA; Zolgensma) infusion, a one‐time gene replacement therapy, for Japanese patients with spinal muscular atrophy (SMA). We aimed to improve understanding of the real‐world outcomes for OA in Japan.
Kayoko Saito   +8 more
wiley   +1 more source

T1 Over Squared Proton Density Ratio to Characterize Multiple Sclerosis Lesions

open access: yesAnnals of Clinical and Translational Neurology, EarlyView.
ABSTRACT Objective Differentiating remyelinated from demyelinated lesions in MS remains challenging without histological confirmation. This study introduces the T1‐to‐PD2 ratio (TPR) imaging approach and evaluates its ability to characterize MS lesions alongside other quantitative MRI (qMRI) metrics. Methods Thirty individuals with MS (mean age: 47.5 ± 
Sarah J. Wright   +10 more
wiley   +1 more source

Practical privacy-aware opportunistic networking [PDF]

open access: yes, 2011
Opportunistic networks have been the study of much research — in particular on making end-to-end routing efficient. Users’ privacy concerns, however, have not been the subject of much research. What privacy concerns might opportunistic network users have?
Parris, Iain, Henderson, Tristan
core   +3 more sources

Effects of Add‐On Icosapent Ethyl With Standard Treatment on Functional Outcomes and Inflammatory Biomarkers in Acute Ischemic Stroke: A Blinded Randomized Controlled Trial

open access: yesAnnals of Clinical and Translational Neurology, EarlyView.
ABSTRACT Background Ischemic stroke, a major cause of mortality and long‐term disability, results from the abrupt cessation of cerebral blood flow due to vascular occlusion or rupture. Icosapent Ethyl (EPA‐EE), approved for hypertriglyceridemia, has anti‐inflammatory and antithrombotic properties that may lessen ischemic damage.
Mitra Mahmoudi Meymand   +5 more
wiley   +1 more source

On the use of fake sources for source location privacy : trade-offs between energy and privacy [PDF]

open access: yes, 2011
Wireless sensor networks have enabled novel applications such as monitoring, where security is invariably a requirement. One aspect of security, namely source location privacy, is becoming an increasingly important property of some wireless sensor ...
Jhumka, Arshad   +5 more
core   +1 more source

Quantitative MRI Uncovers Subtle Cortical Damage in Myelin Oligodendrocyte Glycoprotein Antibody‐Associated Disease

open access: yesAnnals of Clinical and Translational Neurology, EarlyView.
ABSTRACT Objective To determine whether myelin‐sensitive quantitative MRI reveals microstructural abnormalities in normal‐appearing cortex (NACtx) in myelin oligodendrocyte glycoprotein antibody–associated disease (MOGAD), indicating that conventional MRI underestimates remission residual cortical injury.
Valentina Camera   +20 more
wiley   +1 more source

Privacy-Preserving IDS for In-Vehicle Networks with Local Differential Privacy

open access: yes, 2020
Part 2: Selected Student PapersInternational audienceIntrusion Detection Systems (IDS) for In-Vehicle Networks routinely collect and transfer data about attacks to remote servers.
Michael Kreutzer   +8 more
core   +1 more source

Deep Learning Pose Estimation for Phenotyping of Co‐Occurring Hyperkinetic Movement Disorders

open access: yesAnnals of Clinical and Translational Neurology, EarlyView.
ABSTRACT Objective To explore whether routine outpatient video combined with deep learning‐based pose estimation and clinically interpretable kinematic features can support multi‐label phenotyping of co‐occurring hyperkinetic movement disorders (HMDs).
Laura Cif   +17 more
wiley   +1 more source

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