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Applied Machine Learning for Solar Data Processing: Developing Automated Technologies for Knowledge Extraction and Prediction of Solar Activities using Machine Learning - Tapa blanda
Sinopsis
It is becoming increasingly important to understand the possible cause and effect relationships between these solar events and features to produce timely and reliable computer-based forecasting of extreme solar events. These forecasts are very important for protecting our technological infra-structures and human life on earth and in space. The need to develop automated tools to process solar data is also increasing because existing space missions are sending huge amounts of data and scientists back on Earth are struggling to keep pace. In this book, we present our research work introducing novel, fully computerised, machine learning-based decision rules and models that can be used within a system design for automated space weather forecasting. The system design in this book consists of three stages: (1) designing computer tools to find the associations among solar events and features (2) applying machine learning algorithms to the associations’ datasets and (3) studying the evolution patterns of sunspot groups using time-series methods.
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Reseña del editor
It is becoming increasingly important to understand the possible cause and effect relationships between these solar events and features to produce timely and reliable computer-based forecasting of extreme solar events. These forecasts are very important for protecting our technological infra-structures and human life on earth and in space. The need to develop automated tools to process solar data is also increasing because existing space missions are sending huge amounts of data and scientists back on Earth are struggling to keep pace. In this book, we present our research work introducing novel, fully computerised, machine learning-based decision rules and models that can be used within a system design for automated space weather forecasting. The system design in this book consists of three stages: (1) designing computer tools to find the associations among solar events and features (2) applying machine learning algorithms to the associations' datasets and (3) studying the evolution patterns of sunspot groups using time-series methods.
Biografía del autor
Dr. Alomari is an Assistant Prof. of IT in ASU, Jordan. BEng(2005) & MEng(2006) in EE from JUST, Jordan & PhD(2009) from UoB, UK. Dr. Qahwaji is a Reader in Visual Computing in UoB, UK. BSc(1994) & MSc(1997) in EE from UoM, Iraq & PhD(2002) from UoB, UK. Dr. Ipson is a Senior Lecturer in UoB, UK. BSc in Applied Physics & PhD in Nuclear Physics.
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Applied Machine Learning for Solar Data Processing
Publicado por
LAP LAMBERT Academic Publishing, 2011
ISBN 10: 3845477768
ISBN 13: 9783845477763
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Tapa blanda
Librería: moluna, Greven, Alemania
Calificación del vendedor: 5 de 5 estrellas
Condición: New. Dieser Artikel ist ein Print on Demand Artikel und wird nach Ihrer Bestellung fuer Sie gedruckt. Autor/Autorin: Alomari Mohammad H.Dr. Alomari is an Assistant Prof. of IT in ASU, Jordan. BEng(2005) & MEng(2006) in EE from JUST, Jordan & PhD(2009) from UoB, UK. Dr. Qahwaji is a Reader in Visual Computing in UoB, UK. BSc(1994) & MSc(1997) in EE . Nº de ref. del artículo: 5484376
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Applied Machine Learning for Solar Data Processing
Publicado por
LAP LAMBERT Academic Publishing Sep 2011, 2011
ISBN 10: 3845477768
ISBN 13: 9783845477763
Nuevo
Taschenbuch
Librería: BuchWeltWeit Ludwig Meier e.K., Bergisch Gladbach, Alemania
Calificación del vendedor: 5 de 5 estrellas
Taschenbuch. Condición: Neu. This item is printed on demand - it takes 3-4 days longer - Neuware -It is becoming increasingly important to understand the possible cause and effect relationships between these solar events and features to produce timely and reliable computer-based forecasting of extreme solar events. These forecasts are very important for protecting our technological infra-structures and human life on earth and in space. The need to develop automated tools to process solar data is also increasing because existing space missions are sending huge amounts of data and scientists back on Earth are struggling to keep pace. In this book, we present our research work introducing novel, fully computerised, machine learning-based decision rules and models that can be used within a system design for automated space weather forecasting. The system design in this book consists of three stages: (1) designing computer tools to find the associations among solar events and features (2) applying machine learning algorithms to the associations datasets and (3) studying the evolution patterns of sunspot groups using time-series methods. 152 pp. Englisch. Nº de ref. del artículo: 9783845477763
Cantidad disponible: 2 disponibles
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Applied Machine Learning for Solar Data Processing : Developing Automated Technologies for Knowledge Extraction and Prediction of Solar Activities using Machine Learning
Publicado por
LAP LAMBERT Academic Publishing, 2011
ISBN 10: 3845477768
ISBN 13: 9783845477763
Nuevo
Taschenbuch
Librería: AHA-BUCH GmbH, Einbeck, Alemania
Calificación del vendedor: 5 de 5 estrellas
Taschenbuch. Condición: Neu. nach der Bestellung gedruckt Neuware - Printed after ordering - It is becoming increasingly important to understand the possible cause and effect relationships between these solar events and features to produce timely and reliable computer-based forecasting of extreme solar events. These forecasts are very important for protecting our technological infra-structures and human life on earth and in space. The need to develop automated tools to process solar data is also increasing because existing space missions are sending huge amounts of data and scientists back on Earth are struggling to keep pace. In this book, we present our research work introducing novel, fully computerised, machine learning-based decision rules and models that can be used within a system design for automated space weather forecasting. The system design in this book consists of three stages: (1) designing computer tools to find the associations among solar events and features (2) applying machine learning algorithms to the associations datasets and (3) studying the evolution patterns of sunspot groups using time-series methods. Nº de ref. del artículo: 9783845477763
Cantidad disponible: 1 disponibles
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Applied Machine Learning for Solar Data Processing
Publicado por
LAP LAMBERT Academic Publishing Sep 2011, 2011
ISBN 10: 3845477768
ISBN 13: 9783845477763
Nuevo
Taschenbuch
Librería: buchversandmimpf2000, Emtmannsberg, BAYE, Alemania
Calificación del vendedor: 5 de 5 estrellas
Taschenbuch. Condición: Neu. Neuware -It is becoming increasingly important to understand the possible cause and effect relationships between these solar events and features to produce timely and reliable computer-based forecasting of extreme solar events. These forecasts are very important for protecting our technological infra-structures and human life on earth and in space. The need to develop automated tools to process solar data is also increasing because existing space missions are sending huge amounts of data and scientists back on Earth are struggling to keep pace. In this book, we present our research work introducing novel, fully computerised, machine learning-based decision rules and models that can be used within a system design for automated space weather forecasting. The system design in this book consists of three stages: (1) designing computer tools to find the associations among solar events and features (2) applying machine learning algorithms to the associations¿ datasets and (3) studying the evolution patterns of sunspot groups using time-series methods.Books on Demand GmbH, Überseering 33, 22297 Hamburg 152 pp. Englisch. Nº de ref. del artículo: 9783845477763
Cantidad disponible: 2 disponibles
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Applied Machine Learning for Solar Data Processing: Developing Automated Technologies for Knowledge Extraction and Prediction of Solar Activities using Machine Learning
Publicado por
LAP LAMBERT Academic Publishing, 2011
ISBN 10: 3845477768
ISBN 13: 9783845477763
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Paperback
Librería: Mispah books, Redhill, SURRE, Reino Unido
Calificación del vendedor: 4 de 5 estrellas
Paperback. Condición: Like New. Like New. book. Nº de ref. del artículo: ERICA79638454777686
Cantidad disponible: 1 disponibles