Results 311 to 320 of about 2,985,531 (342)
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Big Data Analytics in Intelligent Transportation Systems: A Survey
IEEE transactions on intelligent transportation systems (Print), 2019Big data is becoming a research focus in intelligent transportation systems (ITS), which can be seen in many projects around the world. Intelligent transportation systems will produce a large amount of data.
Li Zhu+4 more
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Chameleon: scalable adaptation of video analytics
Conference on Applications, Technologies, Architectures, and Protocols for Computer Communication, 2018Applying deep convolutional neural networks (NN) to video data at scale poses a substantial systems challenge, as improving inference accuracy often requires a prohibitive cost in computational resources.
Junchen Jiang+4 more
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Analytical interferences and analytical quality
Clinica Chimica Acta, 2009In today's health care system the prevalence of medical errors is high as stated by the report of the Institute of Medicine. A varying error rate of
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Data Analytics, Innovation, and Firm Productivity
Management Sciences, 2020We examine the relationship between data analytics capabilities and innovation using detailed firm-level data.
Lynn Wu, L. Hitt, Bowen Lou
semanticscholar +1 more source
IEEE Transactions on Computational Intelligence and AI in Games, 2015
The articles in this special section ddress various flavors of the diverse field of game analytics. It covers topics ranging from player profiling, behavioral prediction, metrics extraction from gameplay recordings, behavioral analysis, retention analysis, and more.
Bauckhage, Christian+2 more
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The articles in this special section ddress various flavors of the diverse field of game analytics. It covers topics ranging from player profiling, behavioral prediction, metrics extraction from gameplay recordings, behavioral analysis, retention analysis, and more.
Bauckhage, Christian+2 more
openaire +3 more sources
, 2017
Purpose Despite the variety of supply chain management (SCM) research, little attention has been given to the use of Big Data Analytics for increased information exploitation in a supply chain.
Florian Kache, S. Seuring
semanticscholar +1 more source
Purpose Despite the variety of supply chain management (SCM) research, little attention has been given to the use of Big Data Analytics for increased information exploitation in a supply chain.
Florian Kache, S. Seuring
semanticscholar +1 more source
IEEE Transactions on Learning Technologies, 2019
As the fields of learning analytics and learning design mature, the convergence and synergies between the two are becoming an important area for research.
Katerina Mangaroska, M. Giannakos
semanticscholar +1 more source
As the fields of learning analytics and learning design mature, the convergence and synergies between the two are becoming an important area for research.
Katerina Mangaroska, M. Giannakos
semanticscholar +1 more source
Journal of Economic Surveys, 2010
Abstract This paper provides a comprehensive survey of the literature on Analytical Marxism (AM) and analyses its relevance for social theory. AM is precisely defined and distinguished from Rational Choice Marxism (RCM). The different substantive implications of the two approaches are discussed: according to RCM, the role of Marxism in the social ...
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Abstract This paper provides a comprehensive survey of the literature on Analytical Marxism (AM) and analyses its relevance for social theory. AM is precisely defined and distinguished from Rational Choice Marxism (RCM). The different substantive implications of the two approaches are discussed: according to RCM, the role of Marxism in the social ...
openaire +2 more sources
Text analytics, health analytics
1st Europe Summer School on Data Science - SummerSchool '17, 2017Title: Mining and Summarizing Text ConversationsSummary:With the ever-increasing popularity of Internet technologies and communication devices such as smartphones and tablets, and with huge amounts of such conversational data generated on hourly basis, intelligent text analytic approaches can greatly benefit organizations and individuals.
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Analytical and Bioanalytical Chemistry, 2007
This paper reviews procedures for screening, identification and quantification of drugs, poisons and their metabolites in biosamples, and the corresponding work-up procedures. Gas chromatography-mass spectrometry and liquid chromatography-mass spectrometry are mostly used today in analytical toxicology. Selection of the most appropriate biosample, e.g.,
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This paper reviews procedures for screening, identification and quantification of drugs, poisons and their metabolites in biosamples, and the corresponding work-up procedures. Gas chromatography-mass spectrometry and liquid chromatography-mass spectrometry are mostly used today in analytical toxicology. Selection of the most appropriate biosample, e.g.,
openaire +3 more sources