Over the past years the development and urbanization in Delhi has led to increase in air pollution. This has led to study and research in this area. Data mining is used to analyze the existing trends in air pollution in Delhi for making prediction about the future. The data mining techniques used are linear regression and multilayer percep- tron. There are trends of various air pollutants like sulphur dioxide(SO2), nitrogen dioxide (NO2), particulate matter (PM), carbon monoxide (CO), ozone (O3). By using the above techniques it is observed that there will be an increase in amount of PM10 by 45.9 percent in coming years.
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Over the past years the development and urbanization in Delhi has led to increase in air pollution. This has led to study and research in this area. Data mining is used to analyze the existing trends in air pollution in Delhi for making prediction about the future. The data mining techniques used are linear regression and multilayer percep- tron. There are trends of various air pollutants like sulphur dioxide(SO2), nitrogen dioxide (NO2), particulate matter (PM), carbon monoxide (CO), ozone (O3). By using the above techniques it is observed that there will be an increase in amount of PM10 by 45.9 percent in coming years.
Les informations fournies dans la section « A propos du livre » peuvent faire référence à une autre édition de ce titre.
Vendeur : BuchWeltWeit Ludwig Meier e.K., Bergisch Gladbach, Allemagne
Taschenbuch. Etat : Neu. This item is printed on demand - it takes 3-4 days longer - Neuware -Over the past years the development and urbanization in Delhi has led to increase in air pollution. This has led to study and research in this area. Data mining is used to analyze the existing trends in air pollution in Delhi for making prediction about the future. The data mining techniques used are linear regression and multilayer percep- tron. There are trends of various air pollutants like sulphur dioxide(SO2), nitrogen dioxide (NO2), particulate matter (PM), carbon monoxide (CO), ozone (O3). By using the above techniques it is observed that there will be an increase in amount of PM10 by 45.9 percent in coming years. 52 pp. Englisch. N° de réf. du vendeur 9786202010597
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Vendeur : Revaluation Books, Exeter, Royaume-Uni
Paperback. Etat : Brand New. 52 pages. 8.66x5.91x0.12 inches. In Stock. N° de réf. du vendeur zk6202010592
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Etat : New. Dieser Artikel ist ein Print on Demand Artikel und wird nach Ihrer Bestellung fuer Sie gedruckt. Autor/Autorin: Pardeshi ShailendraMr. Shailendra Madansing Pardeshi,Assistant Professor, Information Technology Department,R. C. Patel Institute of Technology, Shirpur.Over the past years the development and urbanization in Delhi has led to inc. N° de réf. du vendeur 385901491
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Vendeur : buchversandmimpf2000, Emtmannsberg, BAYE, Allemagne
Taschenbuch. Etat : Neu. This item is printed on demand - Print on Demand Titel. Neuware -Over the past years the development and urbanization in Delhi has led to increase in air pollution. This has led to study and research in this area. Data mining is used to analyze the existing trends in air pollution in Delhi for making prediction about the future. The data mining techniques used are linear regression and multilayer percep- tron. There are trends of various air pollutants like sulphur dioxide(SO2), nitrogen dioxide (NO2), particulate matter (PM), carbon monoxide (CO), ozone (O3). By using the above techniques it is observed that there will be an increase in amount of PM10 by 45.9 percent in coming years.VDM Verlag, Dudweiler Landstraße 99, 66123 Saarbrücken 52 pp. Englisch. N° de réf. du vendeur 9786202010597
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Vendeur : AHA-BUCH GmbH, Einbeck, Allemagne
Taschenbuch. Etat : Neu. nach der Bestellung gedruckt Neuware - Printed after ordering - Over the past years the development and urbanization in Delhi has led to increase in air pollution. This has led to study and research in this area. Data mining is used to analyze the existing trends in air pollution in Delhi for making prediction about the future. The data mining techniques used are linear regression and multilayer percep- tron. There are trends of various air pollutants like sulphur dioxide(SO2), nitrogen dioxide (NO2), particulate matter (PM), carbon monoxide (CO), ozone (O3). By using the above techniques it is observed that there will be an increase in amount of PM10 by 45.9 percent in coming years. N° de réf. du vendeur 9786202010597
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Vendeur : preigu, Osnabrück, Allemagne
Taschenbuch. Etat : Neu. Predicting Trends in Air Pollution | Shailendra Pardeshi | Taschenbuch | 52 S. | Englisch | 2018 | LAP LAMBERT Academic Publishing | EAN 9786202010597 | Verantwortliche Person für die EU: preigu GmbH & Co. KG, Lengericher Landstr. 19, 49078 Osnabrück, mail[at]preigu[dot]de | Anbieter: preigu. N° de réf. du vendeur 111512740
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