Results 81 to 90 of about 142,887 (185)

The reproducibility gap in graph neural network workflows for cell dynamics: A checklist‐driven case study

open access: yesJournal of Microscopy, EarlyView.
Abstract As part of a Global BioImage Analysts' Society (GloBIAS) initiative, we evaluated the reproducibility of a Graph Neural Network (GNN) study on cell dynamics using structured, community‐developed checklists from the Quality Assessment and Reproducibility for Instruments and Images in Light Microscopy (QUAREP‐LiMi) initiative.
Martin Schätz, Ko Sugawara
wiley   +1 more source

A Comparison of Different Apache Spark Versions

open access: yes, 2019
U ovom radu opisani su osnovi koncepti platforme Apache Spark, komponente platforme Apache Spark (Spark Core, Spark Streaming, Spark SQL, Spark MLlib, Spark GraphX), mogućnosti pokretanja aplikacije te upravljanja resursima.
Herceg, Filip
core  

Experimenting sensitivity-based anonymization framework in apache spark

open access: yesJournal of Big Data, 2018
One of the biggest concerns of big data and analytics is privacy. We believe the forthcoming frameworks and theories will establish several solutions for the privacy protection.
Mohammed Al-Zobbi   +2 more
doaj   +1 more source

Restoring, Protecting, and Expanding Abortion Access in the United States: Seeking Consensus Through the Delphi Method

open access: yesPerspectives on Sexual and Reproductive Health, EarlyView.
ABSTRACT Introduction The Dobbs v. Jackson Women's Health Organization United States (US) Supreme Court decision exacerbated inequitable access to abortion rights in the United States. This study aimed to determine the degree of agreement on which strategies should be prioritized to restore, protect, and expand abortion access. Methodology From July to
Sarah Pickering   +54 more
wiley   +1 more source

TRANSMUT-SPARK: Transformation Mutation for Apache Spark

open access: yes, 2022
International audienceThis paper proposes TRANSMUT-SPARK for automating mutation testing of Big Data processing code within Spark programs. Apache Spark is an engine for Big Data Analytics/Processing that hides the inherent complexity of parallel Big ...
Martins Moreira, Anamaria   +3 more
core   +1 more source

Multi-Aspect Incremental Tensor Decomposition Based on Distributed In-Memory Big Data Systems

open access: yesJournal of Data and Information Science, 2020
We propose InParTen2, a multi-aspect parallel factor analysis three-dimensional tensor decomposition algorithm based on the Apache Spark framework. The proposed method reduces re-decomposition cost and can handle large tensors.
Yang Hye-Kyung, Yong Hwan-Seung
doaj   +1 more source

Living in the Mycelial World

open access: yesTopics in Cognitive Science, EarlyView.
Abstract This manuscript documents a systematic ethnomycological analysis of ethnographic archives. Focusing on texts describing human–fungi interactions, I conduct a global, cross‐cultural review of mushroom use, covering 193 societies worldwide. The study reveals diverse mushroom‐related cultural practices, emphasizing the significance of fungi ...
Roope O. Kaaronen
wiley   +1 more source

Machine Learning im Big Data Umfeld – Experimenteller Vergleich von Apache Flink und Apache Spark [PDF]

open access: yes, 2019
Das Große Thema in der Informatik ist zur Zeit der Bereich der „Künstlichen Intelligenz“, ein Teilbereich aus diesem ist das „Maschinelle Lernen“. Die Open Source Big Data Frameworks Apache Flink und Apache Spark bieten verschiedene Bibliotheken und ...
Bruhns, Jannik
core  

Comparison of Hadoop Mapreduce and Apache Spark in Big Data Processing with Hgrid247-DE

open access: yesJournal of Applied Informatics and Computing
In today’s rapidly evolving information technology landscape, managing and analyzing big data has become one of the most significant challenges. This paper explores the implementation of two major frameworks for big data processing: Hadoop MapReduce and ...
Firmania Dwi Utami, Femi Dwi Astuti
doaj   +1 more source

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