Zobrazeno 1 - 10 of 118 pro vyhledávání: '"K M, George"'
1
Akademický článek
Quantification of major particulate matter species from a single filter type using infrared spectroscopy – application to a large-scale monitoring network
Autor: B. Debus, A. T. Weakley, S. Takahama, K. M. George, A. Amiri-Farahani, B. Schichtel, S. Copeland, A. S. Wexler, A. M. Dillner
Publikováno v: Atmospheric Measurement Techniques, Vol 15, Pp 2685-2702 (2022)
To enable chemical speciation, monitoring networks collect particulate matter (PM) on different filter media, each subjected to one or more analytical techniques to quantify PM composition present in the atmosphere. In this work, we propose an altern
Externí odkaz: https://doaj.org/article/9a4eca4a340547d5a1f0e133f5481a6b
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2
Akademický článek
Molecular transformations of phenolic SOA during photochemical aging in the aqueous phase: competition among oligomerization, functionalization, and fragmentation
Autor: L. Yu, J. Smith, A. Laskin, K. M. George, C. Anastasio, J. Laskin, A. M. Dillner, Q. Zhang
Publikováno v: Atmospheric Chemistry and Physics, Vol 16, Pp 4511-4527 (2016)
Organic aerosol is formed and transformed in atmospheric aqueous phases (e.g., cloud and fog droplets and deliquesced airborne particles containing small amounts of water) through a multitude of chemical reactions. Understanding these reactions is
Externí odkaz: https://doaj.org/article/9d35462598b145c8bad168dba21719a4
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5
Data Reduction with Distance Correlation
Autor: K. M. George
Publikováno v: Recent Challenges in Intelligent Information and Database Systems ISBN: 9789811616846
ACIIDS (Companion)
Data reduction is a technique used in big data applications. Volume, velocity, and variety of data bring in time and space complexity problems to computation. While there are several approaches used for data reduction, dimension reduction and redunda
Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_________::28598dc60041fe86323610d1efa21a9e
https://doi.org/10.1007/978-981-16-1685-3_9
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7
An Analysis of Slant in Tweets
Autor: Nagaraju Vadranam, Starla Marier Demings, K. M. George
Publikováno v: BDCAT
Determination of quality and reliability of information found in social media have been subjects of study by sever researchers. One set of solution may not work in all cases. This paper presents a method to estimate the slant of tweets related to a t
Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_________::8cc792b207641978edb86d05ed01de44
https://doi.org/10.1145/3365109.3368770
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8
Activeness of Syrian refugee crisis: an analysis of tweets
Autor: Karsten Ladner, K. M. George, Ruchishya Ramineni
Publikováno v: Social Network Analysis and Mining. 9
In this paper, we propose and apply a method to analyze the activeness of an event based on related tweets. The method characterizes and measures activeness of an event by a set of indicators. The indicators proposed in this paper are original tweet
Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_________::83f8ab3354e7c02f39d6e396bf75a0df
https://doi.org/10.1007/s13278-019-0606-6
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10
Using an asset price bubble model in tweet analytics
Autor: K. M. George
Publikováno v: IEEE BigData
Predictive methods in the context of big data needs to adopt new approaches. Justification can be derived from the volume of public data entering through microblogs in short periods of time. Based on such data predictions and other inferences are mad
Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_________::d879a9c38d05828469fbe110f59c1d7e
https://doi.org/10.1109/bigdata.2017.8258237
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