This book offers strong emphasis on case study of smart environment based on real time data. We analyzed and found the level of different air pollution elements to detect the unhealthy or anomalous locations based on Air Quality Index (AQI). Machine learning framework namely Neural Network, Neuro-fuzzy method and Support Vector Machines for both binary and multi class problems has been used for anomalous location detection form pollution database. Simulation results using MATLAB show that Machine learning techniques are reliable in terms of accuracy and calculation time for smart environment.
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Dr.Hitesh Shah,a Professor & Head,EC Department of G H Patel College of Engineering & Technology,Vallabh Vidyanagar,Gujarat.He holds Ph.D. and M.Tech degrees from IITDelhi, IITRoorkee respectively. His teaching and research stints span of 19 years at this college.His current research interests in Machine Learning and its applications.
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Taschenbuch. Zustand: Neu. This item is printed on demand - it takes 3-4 days longer - Neuware -This book offers strong emphasis on case study of smart environment based on real time data. We analyzed and found the level of different air pollution elements to detect the unhealthy or anomalous locations based on Air Quality Index (AQI). Machine learning framework namely Neural Network, Neuro-fuzzy method and Support Vector Machines for both binary and multi class problems has been used for anomalous location detection form pollution database. Simulation results using MATLAB show that Machine learning techniques are reliable in terms of accuracy and calculation time for smart environment. 60 pp. Englisch. Bestandsnummer des Verkäufers 9783330039384
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Taschenbuch. Zustand: Neu. nach der Bestellung gedruckt Neuware - Printed after ordering - This book offers strong emphasis on case study of smart environment based on real time data. We analyzed and found the level of different air pollution elements to detect the unhealthy or anomalous locations based on Air Quality Index (AQI). Machine learning framework namely Neural Network, Neuro-fuzzy method and Support Vector Machines for both binary and multi class problems has been used for anomalous location detection form pollution database. Simulation results using MATLAB show that Machine learning techniques are reliable in terms of accuracy and calculation time for smart environment. Bestandsnummer des Verkäufers 9783330039384
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Zustand: New. Dieser Artikel ist ein Print on Demand Artikel und wird nach Ihrer Bestellung fuer Sie gedruckt. Autor/Autorin: Shah HiteshDr.Hitesh Shah,a Professor in Electronics and Communication Engg. of G H Patel College of Engineering & Technology,Vallabh Vidyanagar,Gujarat. He holds Ph.D. and M.Tech degrees from IITDelhi,IITRoorkee respectively. His te. Bestandsnummer des Verkäufers 151234109
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Taschenbuch. Zustand: Neu. This item is printed on demand - Print on Demand Titel. Neuware -This book offers strong emphasis on case study of smart environment based on real time data. We analyzed and found the level of different air pollution elements to detect the unhealthy or anomalous locations based on Air Quality Index (AQI). Machine learning framework namely Neural Network, Neuro-fuzzy method and Support Vector Machines for both binary and multi class problems has been used for anomalous location detection form pollution database. Simulation results using MATLAB show that Machine learning techniques are reliable in terms of accuracy and calculation time for smart environment.VDM Verlag, Dudweiler Landstraße 99, 66123 Saarbrücken 60 pp. Englisch. Bestandsnummer des Verkäufers 9783330039384
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Taschenbuch. Zustand: Neu. Smart Cities: An Anomaly Detection in Wireless Sensor Network | Hitesh Shah (u. a.) | Taschenbuch | 60 S. | Englisch | 2017 | LAP LAMBERT Academic Publishing | EAN 9783330039384 | Verantwortliche Person für die EU: preigu GmbH & Co. KG, Lengericher Landstr. 19, 49078 Osnabrück, mail[at]preigu[dot]de | Anbieter: preigu. Bestandsnummer des Verkäufers 108769682
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