Results 111 to 120 of about 22,068 (223)
ABSTRACT Background Patients in the intensive care unit (ICU) frequently experience sleep disturbances. Although circadian rhythm disruption caused by poor sleep is known to increase the risk of delirium, empirical research on this association remains limited.
Jiyeon Kang +3 more
wiley +1 more source
Обзор основных возможностей Apache Spark
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
MR3: An execution framework for hive and spark
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
Halvade somatic: Somatic variant calling with Apache Spark. [PDF]
Decap D +7 more
europepmc +1 more source
ABSTRACT The Orchidaceae family, with its unparalleled species diversity among angiosperms, is integral to ornamental, medicinal, cultural, and ecological value. Multi‐omics techniques have proven invaluable for the identification of candidate genes and the advancement of functional genomics research. Nevertheless, the application of these technologies
Yonglu Wei +13 more
wiley +1 more source
Reproducible Experiments for Comparing Apache Flink and Apache Spark on Public Clouds [PDF]
Shelan Perera +2 more
openalex +1 more source
Apache Spark and Deep Learning Models for High-Performance Network Intrusion Detection Using CSE-CIC-IDS2018. [PDF]
Hagar AA, Gawali BW.
europepmc +1 more source
Predicting Chronic Kidney Disease Using Hybrid Machine Learning Based on Apache Spark. [PDF]
Abdel-Fattah MA, Othman NA, Goher N.
europepmc +1 more source
Machine learning in big data: A performance benchmarking study of Flink-ML and Spark MLlib
Machine learning (ML) in big data frameworks plays a critical role in real-time analytics, decision making, and predictive modeling. Among the most prominent ML libraries for large-scale data processing are Flink-ML, the machine learning extension of ...
Messaoud MEZATI, Ines AOURIA
doaj +1 more source
Real-Time Heart Arrhythmia Detection Using Apache Spark Structured Streaming. [PDF]
Ilbeigipour S +2 more
europepmc +1 more source

