Satellite Image Analysis for Poverty Prediction: Leveraging Machine Learning Techniques - Couverture souple

Swapna, T.

9786206736936: Satellite Image Analysis for Poverty Prediction: Leveraging Machine Learning Techniques

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ISBN 10 : 6206736938 ISBN 13 : 9786206736936

Editeur : LAP LAMBERT Academic Publishing, 2023

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High-resolution satellite imagery is increasingly available globally and contains abundant information about landscape features that could be correlated with economic activity. Unfortunately, such data are highly unstructured and thus challenging to extract meaningful insights from at scale, even with intensive manual analysis. Recent applications of deep learning techniques to large-scale image data sets have led to marked improvements in fundamental computer vision tasks such as object detection and classification, but these techniques are generally the most effective in supervised learning.

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�diteur: LAP LAMBERT Academic Publishing
Date d'�dition: 2023
Langue: anglais
ISBN 10: 6206736938
ISBN 13: 9786206736936
Reliure: Broch�
Nombre de pages: 52
Coordonn�es du fabricant: non disponible

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Satellite Image Analysis for Poverty Prediction

Swapna, T.

Edit� par LAP Lambert Academic Publishing, 2023

ISBN 10 : 6206736938 ISBN 13 : 9786206736936

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Etat : New. Dieser Artikel ist ein Print on Demand Artikel und wird nach Ihrer Bestellung fuer Sie gedruckt. High-resolution satellite imagery is increasingly available globally and contains abundant information about landscape features that could be correlated with economic activity. Unfortunately, such data are highly unstructured and thus challenging to extract. N� de r�f. du vendeur 987550778

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Satellite Image Analysis for Poverty Prediction

T. Swapna

Edit� par LAP LAMBERT Academic Publishing Jul 2023, 2023

ISBN 10 : 6206736938 ISBN 13 : 9786206736936

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Taschenbuch. Etat : Neu. This item is printed on demand - it takes 3-4 days longer - Neuware -High-resolution satellite imagery is increasingly available globally and contains abundant information about landscape features that could be correlated with economic activity. Unfortunately, such data are highly unstructured and thus challenging to extract meaningful insights from at scale, even with intensive manual analysis. Recent applications of deep learning techniques to large-scale image data sets have led to marked improvements in fundamental computer vision tasks such as object detection and classification, but these techniques are generally the most effective in supervised learning. 52 pp. Englisch. N� de r�f. du vendeur 9786206736936

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Satellite Image Analysis for Poverty Prediction : Leveraging Machine Learning Techniques

T. Swapna

Edit� par LAP LAMBERT Academic Publishing, 2023

ISBN 10 : 6206736938 ISBN 13 : 9786206736936

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Taschenbuch. Etat : Neu. nach der Bestellung gedruckt Neuware - Printed after ordering - High-resolution satellite imagery is increasingly available globally and contains abundant information about landscape features that could be correlated with economic activity. Unfortunately, such data are highly unstructured and thus challenging to extract meaningful insights from at scale, even with intensive manual analysis. Recent applications of deep learning techniques to large-scale image data sets have led to marked improvements in fundamental computer vision tasks such as object detection and classification, but these techniques are generally the most effective in supervised learning. N� de r�f. du vendeur 9786206736936

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Satellite Image Analysis for Poverty Prediction

Swapna, T.

Edit� par LAP LAMBERT Academic Publishing, 2023

ISBN 10 : 6206736938 ISBN 13 : 9786206736936

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Satellite Image Analysis for Poverty Prediction

T. Swapna

Edit� par LAP LAMBERT Academic Publishing Jul 2023, 2023

ISBN 10 : 6206736938 ISBN 13 : 9786206736936

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Vendeur : buchversandmimpf2000, Emtmannsberg, BAYE, Allemagne

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Taschenbuch. Etat : Neu. Neuware -High-resolution satellite imagery is increasingly available globally and contains abundant information about landscape features that could be correlated with economic activity. Unfortunately, such data are highly unstructured and thus challenging to extract meaningful insights from at scale, even with intensive manual analysis. Recent applications of deep learning techniques to large-scale image data sets have led to marked improvements in fundamental computer vision tasks such as object detection and classification, but these techniques are generally the most effective in supervised learning.Books on Demand GmbH, �berseering 33, 22297 Hamburg 52 pp. Englisch. N� de r�f. du vendeur 9786206736936

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