Results 51 to 60 of about 27,515,411 (316)

Federated Learning Based on Kernel Local Differential Privacy and Low Gradient Sampling

open access: yesIEEE Access
Federated learning that is an approach to addressing the “data silo” problem in a collaborative fashion may face the risk of data leakage in real-world contexts.
Yi Chen, Dan Chen, Niansheng Tang
doaj   +1 more source

Handling Multicollinearity in Hydrochemical Data: A Comparison of Penalized Regression Models [PDF]

open access: yesE3S Web of Conferences
We are looking at the surface waters of the Inaouen watershed. The dynamics of iron in this area are influenced by physico-chemical parameters that are connected to each other. This connection leads to a problem called multicollinearity.
El Chaal Rachid   +2 more
doaj   +1 more source

Impact of Radiation Therapy on Physical and Psychosocial Health of Adolescents and Young Adults: A Joint Report From the Children's Oncology Group AYA and Radiation Oncology Committees

open access: yesPediatric Blood &Cancer, EarlyView.
ABSTRACT Rates of cancer among adolescents and young adults (AYA), age 15–39 years, are increasing. Consequently, radiation oncologists are treating more AYAs who have diagnoses spanning both pediatric and adult practices. Compared to pediatric and older adult patients, AYAs face a unique set of challenges.
Hesham Elhalawani   +7 more
wiley   +1 more source

A Data Model for Data Integration

open access: yesElectronic Notes in Theoretical Computer Science, 2006
AbstractData integration systems provide a uniform query interface (UQI) to multiple, autonomous data sources [Alon Y. Halevy. Answering queries using views: A survey. The VLDB Journal, 10(4):270–294, 2001]. This paper presents the universal data model (UDM) that captures the semantically salient aspects of relational, entity-relationship, and XML data
openaire   +2 more sources

Evolution of data models [PDF]

open access: yes, 1990
Relational, complex object, and object-oriented data models seem to establish three diverging directions and it appears hopeless to arrive at a new higher-level unifying data model as a new platform for the non-traditional applications as well as for the classical ones.
Hans-Jörg Schek, Marc H. Scholl
openaire   +3 more sources

Rain‐rate estimation algorithm using signal attenuation of Ka‐band cloud radar

open access: yesMeteorological Applications, 2020
A millimetre‐wave cloud radar has limitations for observing heavy rainfall because the short wavelength leads to strong attenuation from raindrops. However, recent studies have attempted to estimate the rain rate using attenuation, which becomes greater ...
Su‐Bin Oh   +5 more
doaj   +1 more source

Social Functioning Within the First Years After Pediatric Brain Tumor Diagnosis and the Relationship With Family Psychosocial Risk

open access: yesPediatric Blood &Cancer, EarlyView.
ABSTRACT Background Survivors of pediatric brain tumors (PBTs) can experience long‐term social difficulties, impacting quality of life. Beyond medical and environmental factors, family psychosocial risk may play a role in social outcomes by shaping the caregiving environment and may provide intervention options.
Renske H. Houben   +4 more
wiley   +1 more source

Entropy-based text feature engineering approach for forecasting financial liquidity changes

open access: yesEPJ Data Science
Changes in individual and institutional financial behavior leading to shifts in liquidity flows often depend on events reflected in news. However, the task of establishing relationship between financial behavior and news remains challenging and ...
Aleksei Riabykh   +5 more
doaj   +1 more source

Penalized Exponentially Tilted Likelihood for Growing Dimensional Models with Missing Data

open access: yesEntropy
This paper develops a penalized exponentially tilted (ET) likelihood to simultaneously estimate unknown parameters and select variables for growing dimensional models with missing response at random.
Xiaoming Sha   +2 more
doaj   +1 more source

Self-supervised optimization of random material microstructures in the small-data regime

open access: yesnpj Computational Materials, 2022
While the forward and backward modeling of the process-structure-property chain has received a lot of attention from the materials’ community, fewer efforts have taken into consideration uncertainties.
Maximilian Rixner   +1 more
doaj   +1 more source

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