Results 31 to 40 of about 1,860 (195)

Time series analysis with apache spark and its applications to energy informatics

Energy Informatics, 2018
In energy economy forecasts of different time series are rudimentary. In this study, a prediction for the German day-ahead spot market is created with Apache Spark and R.
Cornelia Krome, Volker Sander
doaj   +1 more source

FITS Data Source for Apache Spark [PDF]

Computing and Software for Big Science, 2018
We investigate the performance of Apache Spark, a cluster computing framework, for analyzing data from future LSST-like galaxy surveys. Apache Spark attempts to address big data problems have hitherto proved successful in the industry, but its use in the astronomical community still remains limited.
Peloton, Julien, Arnault, Christian, Plaszczynski, Stéphane   +2 more
openaire   +3 more sources

CLASSIFICATION OF BIG POINT CLOUD DATA USING CLOUD COMPUTING [PDF]

The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences, 2015
Point cloud data plays an significant role in various geospatial applications as it conveys plentiful information which can be used for different types of analysis.
K. Liu, J. Boehm
doaj   +1 more source

Diaspore: Diagnosing Performance Interference in Apache Spark

IEEE Access, 2021
Apache Spark is being increasingly used to execute big data applications on cluster computing platforms. To increase system utilization, cluster operators often configure their clusters such that multiple co-located applications can simultaneously share ...
Sarah Shah, Yasaman Amannejad, Diwakar Krishnamurthy   +2 more
doaj   +1 more source

DDoS Attacks Detection and Prevention on Real-Time Streaming Data Using Machine Learning Methods With Kafka and Apache Spark

IEEE Access
Distributed Denial of Service (DDoS) attacks in the constantly expanding sphere of cybersecurity are highly important to detect and respond to promptly. This paper proposes an Intrusion Detection System (IDS) that integrate Machine Learning (ML), Apache ...
Jameel Ahmad, Usama Ahmed, Saad Farooq, Muhammad Sarwar, Momina Shaheen, Dimitris M. Manias, Jawad Khan   +6 more
doaj   +1 more source

PEAR1 Promotes Glucose Metabolism Reprogramming in Sepsis‐Associated Acute Lung Injury via AARS1‐Mediated HIF‐1α Lactylation

Advanced Science, EarlyView.
This study revealed that a PEAR1/HIF‐1α/ glycolysis/lactate/H3K18la positive feedback loop in PMVECs that drives the development of S‐ALI. Mechanistically, PEAR1 mediates the binding of HIF‐1α to AARS1, leading to the lactylation of HIF‐1α, the primary lactylation site of which is K172.
Shuai Li, Zongqing Lu, Pu Fang, Qingqing Pang, Xianghui Wu, Bo Wang, Min Liang, Jingjing Pan, Haobo Kong, Haijian Cai, Juanjuan Li, Jiaying Kang, Dongsheng Wang, Dunling Xia, Mengmeng Xu, Qinghai You   +15 more
wiley   +1 more source

Supratherapeutic drug concentration triggers: A novel data‐driven approach to assess their value for medication safety surveillance in intensive care

British Journal of Clinical Pharmacology, EarlyView.
Aims Electronic triggers (e‐triggers) are used as screening signals to detect potential adverse drug events (ADEs) and offer an effective system level approach for medication safety surveillance. Their clinical utility is typically evaluated through time‐consuming manual chart review by experts, limiting implementation.
Anne Paulien Langermans, Izak A. R. Yasrebi‐de Kom, Dylan Wayne de Lange, Nicolette Fransisca de Keizer, Joanna E. Klopotowska, on behalf of the RESCUE Study group, C. S. C. Bouman, E. N. van Roon, P. F. Schutte, J. ten Cate, D. van Balen, S. Hendriks, C. Lau, W. J. Vermeijden, A. Beishuizen, J. B. Masselink, P. E. Spronk, H. J. M. van Kan, P. W. de Feiter, E. J. Wils, A. Wieringa, A. J. Valkenburg, W. M. van den Bergh, M. H. Renes, W. Bult, E. de Jonge, M. Hoeksema, E. J. Wesselink, I. M. Purmer, B. E. Bosma, S. H. W. van Bree, H. J. W. Lammers, R. J. Bosman, E. J. F. Franssen, A. Karakus, M. Sigtermans, E. M. Kuck, D. A. Dongelmans, M. J. H. Aries, E. V. Uijtendaal, M. C. Reuland   +40 more
wiley   +1 more source

Real-time high-throughput cotton phenotyping using distributed computing and deep learning

Smart Agricultural Technology
In this paper, we present an approach for real-time high-throughput cotton phenotyping using distributed computing and deep learning. The objective of this study is to develop a big data pipeline to efficiently ingest and process large amounts of image ...
Vaishnavi Thesma, Glen C. Rains, Javad Mohammadpour Velni   +2 more
doaj   +1 more source

Model of Point Cloud Data Management System in Big Data Paradigm

ISPRS International Journal of Geo-Information, 2018
Modern geoinformation technologies for collecting and processing data, such as laser scanning or photogrammetry, can generate point clouds with billions of points. They provide abundant information that can be used for different types of analysis. Due to
Vladimir Pajić, Miro Govedarica, Mladen Amović   +2 more
doaj   +1 more source

The Landscape of Biomarkers in ICU‐Associated AKI: From Protein Markers to Cell‐Free Nucleic Acids

Journal of Clinical Laboratory Analysis, EarlyView.
Acute kidney injury (AKI) in critically ill patients—particularly in sepsis—often develops early and is missed by creatinine/urine output–based criteria, delaying risk stratification and timely intervention. This review synthesizes current evidence on established and emerging AKI biomarkers (e.g., NGAL, KIM‐1, [TIMP‐2]·[IGFBP7]) alongside circulating ...
Qi Zhu, Feng Yang, Hua Zheng, Xinxin Guo, Zhijin Chen, Limin Chen, Daoli Wang, Jiaqi Wang, Xinmeng Wang, Zhiyuan Huang, Zhenhua Ji   +10 more
wiley   +1 more source