CGIAR BigData Platform Report (ICARDA): Planning and Reporting 2017 [PDF]
The report summarizes ICARDA contribution to the CGIAR BigData Platform in 2017. Key areas were planning, advocacy, capacity building, staffing, infrastructure development and enhancing interoperability and the FAIRness of repository infrastructure.
Biradar, Chandrashekhar
core
Policy-based bigdata security and QoS framework for SDN/IoT: an analytic approach [PDF]
With the explosive growth of Internet of Things (IoT) using WiFi networks along with their huge data flows (especially Bigdata using TCP connections), the significant challenges are the application performance and network security.
S Yu (7291433) +3 more
core
Photovoltaic Remote Data Transmission Based on Bigdata Platform and its Application
With the rapid development of new energy industry, large-scale photovoltaic products are put into operation and the traditional photovoltaic industry equipment operation status monitoring method cannot meet the requirements of product real-time data mass
HAO Bo, DING Congcong, CHENG Pei
doaj
Correction: Clinical variant interpretation comparing two saturation genome editing-based functional studies for <i>BRCA2</i>. [PDF]
Shin JH +5 more
europepmc +1 more source
From the Guest Editors: Artificial Intelligence and Big Data in the Health Sciences. [PDF]
Shi W, Deng Y.
europepmc +1 more source
Comprehensive assessment of novel cardiovascular biomarkers in AF. [PDF]
Ohlrogge AH +12 more
europepmc +1 more source
Author Correction: A pre-trained BERT for Korean medical natural language processing
Yoojoong Kim +9 more
doaj +1 more source
Spatial heterogeneity and population susceptibility in the association between ambient nitrogen dioxide exposure and lipid profiles: a nationwide longitudinal cohort. [PDF]
Guo J +8 more
europepmc +1 more source
Machine learning-enabled systematic review on coded healthcare data in heart failure research. [PDF]
Champsi A +13 more
europepmc +1 more source
GR2ST: spatial transcriptomics prediction based on graph-enhanced multimodal contrastive learning. [PDF]
Zhou J +5 more
europepmc +1 more source

