Results 91 to 100 of about 20,810 (198)

Early Sedation Intensity and Psychological Outcomes in Critically Ill Adults

open access: yesNursing in Critical Care, Volume 31, Issue 3, May 2026.
ABSTRACT Background Long‐term psychological impairment is a major concern for intensive care unit (ICU) survivors. Early deep sedation during mechanical ventilation has been associated with poor short‐term outcomes and mortality after ICU discharge; however, its relationship with psychological outcomes remains unclear.
Mikiko Iwatani, Michiko Morimoto
wiley   +1 more source

Optimización de Apache Spark

open access: yes, 2021
Trabajando con Spark a menudo se presenta que el rendimiento obtenido es peor de lo esperado y son muchas las variables a tener en cuenta para abordarlo: una inadecuada configuración del clúster, tener un número correcto de particiones de los datos a procesar, la presencia de sesgo de datos, el formato de datos con los que se trabaja, el trabajo en ...
openaire   +1 more source

Optimizing Apache Spark MLlib: Predictive Performance of Large-Scale Models for Big Data Analytics

open access: yesAlgorithms
In this study, we analyze the performance of the machine learning operators in Apache Spark MLlib for K-Means, Random Forest Regression, and Word2Vec. We used a multi-node Spark cluster along with collected detailed execution metrics computed from the ...
Leonidas Theodorakopoulos   +2 more
doaj   +1 more source

Evaluation of distributed stream processing frameworks for IoT applications in Smart Cities

open access: yesJournal of Big Data, 2019
The widespread growth of Big Data and the evolution of Internet of Things (IoT) technologies enable cities to obtain valuable intelligence from a large amount of real-time produced data.
Hamid Nasiri   +2 more
doaj   +1 more source

A new Apache Spark-based framework for big data streaming forecasting in IoT networks. [PDF]

open access: yesJ Supercomput, 2023
Fernández-Gómez AM   +3 more
europepmc   +1 more source

Обзор основных возможностей Apache Spark

open access: yes, 2020
Современное информационное общество ежедневно порождает огромные массивы данных. Эффективная их обработка доступна только посредством применения специального инструментария, например, Apache Spark. В работе рассмотрены системы для обработки больших данных Apache Spark и Hadoop, включая основные компоненты последней (YARN, HDFS и MapReduce).
openaire   +2 more sources

Review of a Unified Real-Time IDS and Mitigation Framework Using Apache Spark

open access: yesAl-Rafidain Journal of Computer Sciences and Mathematics
Traditional intrusion detection systems are being surpassed by the increasingly sophisticated cyber threats that modern networks face. The increasing scale and complexity of modern network environments, coupled with the evolving sophistication of cyber ...
Ammar Ahmed Abdullah   +1 more
doaj   +1 more source

Halvade somatic: Somatic variant calling with Apache Spark. [PDF]

open access: yesGigascience, 2022
Decap D   +7 more
europepmc   +1 more source

MR3: An execution framework for hive and spark

open access: yesETRI Journal
Resource utilization in multi-tenant environments remains a critical challenge for distributed data processing frameworks such as Apache Hive and Apache Spark.
Seonggon Namgung, Sungwoo Park
doaj   +1 more source

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