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Research Ready Data Lakes: Protecting Privacy in Relatable Datasets

open access: yesInternational Journal of Population Data Science, 2019
Background with rationale The Georgia Policy Labs’ mission is to improve outcomes for children and families by producing rigorous research with long-term government partners.
Robert McMillan, Maggie Reeves
doaj   +1 more source

Time Efficient Hash Key Generation for Blockchain Enabled Framework

open access: yesIEEE Access
Blockchain, in general, helps organizations to improve the transparency and governance by removing its shortfalls and building better control overall. Blockchain network, public or private, is a competent technology when used in order with an optimized ...
Shyam Kumar Sinha, Debarka Mukhopadhyay
doaj   +1 more source

A Standalone FPGA-based Miner for Lyra2REv2 Cryptocurrencies

open access: yes, 2020
Lyra2REv2 is a hashing algorithm that consists of a chain of individual hashing algorithms, and it is used as a proof-of-work function in several cryptocurrencies.
Balatsoukas-Stimming, Alexios   +4 more
core   +2 more sources

Scalable distributed event detection for Twitter [PDF]

open access: yes, 2013
Social media streams, such as Twitter, have shown themselves to be useful sources of real-time information about what is happening in the world.
Macdonald, Craig   +4 more
core   +2 more sources

Optimized Entanglement Purification [PDF]

open access: yes, 2019
We investigate novel protocols for entanglement purification of qubit Bell pairs. Employing genetic algorithms for the design of the purification circuit, we obtain shorter circuits achieving higher success rates and better final fidelities than what is ...
Albert, Victor V.   +2 more
core   +2 more sources

Designing Physical Unclonable Functions From Optically Active Materials

open access: yesAdvanced Materials, EarlyView.
Assigning unforgeable “fingerprints” to manufactured goods is a key strategy to fight global counterfeiting. Optical physical unclonable functions (PUFs) are chemically generated random patterns of optically active materials serving as unique authenticators.
Maxime Klausen   +2 more
wiley   +1 more source

Hyperledger Fabric for the (digitalized) lifecycle of construction products: Applied review on fastening technology

open access: yesCivil Engineering Design, Volume 7, Issue 1, Page 9-22, March 2025.
Abstract Blockchain technology is a digital decentralized data ledger recording transactions in an encrypted format. Its implementation can potentially hold significant advantages for the built environment, particularly in manufacturing and building product usage aligned with Building Information Modeling (BIM). This paradigm shift toward decentralized
Aileen Pfeil   +2 more
wiley   +1 more source

A hitchhiker's guide to single‐cell epigenomics: Methods and applications for cancer research

open access: yesInternational Journal of Cancer, EarlyView.
Abstract Genetic mutations are well known to influence tumorigenesis, tumor progression, treatment response and relapse, but the role of epigenetic variation in cancer progression is still largely unexplored. The lack of epigenetic understanding in cancer evolution is in part due to the limited availability of methods to examine such a heterogeneous ...
Marta Moreno‐Gonzalez   +2 more
wiley   +1 more source

Forecasting Digital Asset Return: An Application of Machine Learning Model

open access: yesInternational Journal of Finance &Economics, EarlyView.
ABSTRACT In this study, we aim to identify the machine learning model that can overcome the limitations of traditional statistical modelling techniques in forecasting Bitcoin prices. Also, we outline the necessary conditions that make the model suitable.
Vito Ciciretti   +4 more
wiley   +1 more source

X‐ray CT metal artifact reduction using neural attenuation field prior

open access: yesMedical Physics, EarlyView.
Abstract Background The presence of metal objects in computed tomography (CT) imaging introduces severe artifacts that degrade image quality and hinder accurate diagnosis. While several deep learning‐based metal artifact reduction (MAR) methods have been proposed, they often exhibit poor performance on unseen data and require large datasets to train ...
Jooho Lee   +4 more
wiley   +1 more source

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