Results 91 to 100 of about 10,108 (225)
Availability and Network-Aware MapReduce Task Scheduling over the Internet [PDF]
, 2015 International audienceMapReduce offers an ease-of-use programming paradigm for processing large datasets. In our previous work, we have designed a MapReduce framework called BitDew-MapReduce for desktop grid and volunteer computing environment, that ...
Xie, Qi +7 more
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Journal of Oral Rehabilitation, Volume 52, Issue 8, Page 1193-1219, August 2025.ABSTRACT Background Artificial intelligence (AI) and various subunits of AI such as artificial neural networks (ANN), Convolutional neural networks (CNNs), machine learning (ML), deep learning (DL) and deep neural networks (DNN) are being tried to diagnose and plan treatment for periodontal diseases.
Rupanjan Roy +3 more
wiley +1 more source
Research on application of Hadoop in personnel positioning software system
Gong-kuang zidonghua, 2017 In order to solve the problem that existing personnel locating system can not meet large data access requirement of large-scale coal mines, Hadoop was proposed to be used in personnel positioning software system, and parallel computing model MapReduce ...
WANG Wei
doaj +1 more source
A-MapReduce: Executing Wide Search via Agentic MapReduce
CoRR33 ...
Mingju Chen +4 more
openaire +2 more sources
MapReduce network enabled algorithms for classification based on association rules
, 2011 This thesis was submitted for the degree of Doctor of Philosophy and awarded by Brunel University.There is growing evidence that integrating classification and association rule mining can produce more efficient and accurate classifiers than traditional ...
Hammoud, Suhel
core
Smart Healthcare: The Role of Digital Health in Modern Medicine
Health Care Science, Volume 4, Issue 3, Page 179-187, June 2025.Implementation of Digital Health. Innovations in Digital Health. Challenges in Digital Health. ABSTRACT Digital health is transforming healthcare by integrating advanced technologies to make healthcare more accessible, efficient, and personalized. From electronic health records, telemedicine, wearable devices, and artificial intelligence to the recent ...
Nidha Shapoo +3 more
wiley +1 more source
Zhejiang Daxue xuebao. Lixue ban, 2017 地理国情统计分析是深度研究地理国情普查数据的首要前提.针对现有单机集中式数据存储与处理方式存在耗时长、效率低甚至不支持的问题，设计了“格网索引+MapReduce”策略，基于规则格网设计普查数据文件的分块组织与分布式存储方式，研制了格网索引与空间分析相结合的双层过滤机制，构建基于MapReduce的地理国情并行统计算法.最后，与无索引MapReduce、ArcGIS平台进行性能对比测试，结果表明：“格网索引+ MapReduce”方法的统计效率远高于ArcGIS平台 ...
LINYaping(林雅萍) +3 more
doaj +1 more source
IEEE Access, 2018 In this paper, we discuss some challenges regarding the Hadoop framework. One of the main ones is the computing performance of Hadoop MapReduce jobs in terms of CPU, memory, and hard disk I/O. The networking side of a Hadoop cluster is another challenge,
Ali Khaleel, Hamed Al-Raweshidy
doaj +1 more source
PROTEOMICS, Volume 25, Issue 11-12, June 2025.ABSTRACT The integration of big data into nephrology research will open new avenues for analyzing and understanding complex biological datasets, driving advances in personalized management of kidney diseases. This paper describes the multifaceted challenges and opportunities by incorporating big data in nephrology, emphasizing the importance of data ...
Riste Stojanov +12 more
wiley +1 more source
CES Transactions on Electrical Machines and Systems, 2019 Effective storage, processing and analyzing of power device condition monitoring data faces enormous challenges. A framework is proposed that can support both MapReduce and Graph for massive monitoring data analysis at the same time based on Aliyun ...
Hongtao Shen, Peng Tao, Pei Zhao, Hao Ma
doaj +1 more source