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Misra Siddharth (30 results)
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Machine Learning for Subsurface Characterization
Language: English
Published by Gulf Professional Publishing, 2019
ISBN 10: 0128177365 ISBN 13: 9780128177365
Paperback. Condition: Acceptable. Softcover. Excellent condition but does contain a minimal amount of highlighting (mostly in chapter 1-all text is legible). Intact, complete. Tulsa's largest used bookstore. Located on South Mingo Road since 1991. No-hassle return policy if not completely satisfied.
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US$ 145.46
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Ships from United Kingdom to U.S.A.Quantity: 3 available
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US$ 154.24
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Add to basketCondition: New. pp. 275.
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Machine Learning for Subsurface Characterization
Language: English
Published by Gulf Professional Publishing, 2019
ISBN 10: 0128177365 ISBN 13: 9780128177365
Condition: New.
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Condition: New.
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Condition: New. pp. 275.
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Machine Learning for Subsurface Characterization
Language: English
Published by Elsevier Science & Technology, 2019
ISBN 10: 0128177365 ISBN 13: 9780128177365
Seller: THE SAINT BOOKSTORE, Southport, United Kingdom
Seller rating 5 out of 5 stars
US$ 160.28
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Ships from United Kingdom to U.S.A.Quantity: Over 20 available
Add to basketPaperback / softback. Condition: New. New copy - Usually dispatched within 4 working days.
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Condition: New.
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Machine Learning for Subsurface Characterization
Language: English
Published by Gulf Professional Publishing, 2019
ISBN 10: 0128177365 ISBN 13: 9780128177365
Condition: As New. Unread book in perfect condition.
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Multifrequency Electromagnetic Data Interpretation for Subsurface Characterization
Language: English
Published by Elsevier Science Publishing Co Inc, 2021
ISBN 10: 0128214392 ISBN 13: 9780128214398
Seller: THE SAINT BOOKSTORE, Southport, United Kingdom
Seller rating 5 out of 5 stars
US$ 171.38
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Add to basketPaperback / softback. Condition: New. New copy - Usually dispatched within 4 working days.
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Condition: New. pp. 275.
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Machine Learning for Subsurface Characterization
Language: English
Published by Gulf Professional Publishing, 2019
ISBN 10: 0128177365 ISBN 13: 9780128177365
Seller: Ria Christie Collections, Uxbridge, United Kingdom
Seller rating 5 out of 5 stars
US$ 180.54
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Machine Learning for Subsurface Characterization
Language: English
Published by Gulf Professional Publishing, 2019
ISBN 10: 0128177365 ISBN 13: 9780128177365
Seller: GreatBookPricesUK, Woodford Green, United Kingdom
Seller rating 5 out of 5 stars
US$ 180.53
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Multifrequency Electromagnetic Data Interpretation for Subsurface Characterization
Seller: GreatBookPricesUK, Woodford Green, United Kingdom
Seller rating 5 out of 5 stars
US$ 187.55
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Multifrequency Electromagnetic Data Interpretation for Subsurface Characterization
Seller: Ria Christie Collections, Uxbridge, United Kingdom
Seller rating 5 out of 5 stars
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Condition: As New. Unread book in perfect condition.
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Machine Learning for Subsurface Characterization
Language: English
Published by Gulf Professional Publishing, 2019
ISBN 10: 0128177365 ISBN 13: 9780128177365
Seller: GreatBookPricesUK, Woodford Green, United Kingdom
Seller rating 5 out of 5 stars
US$ 198.83
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Machine Learning for Subsurface Characterization
Language: English
Published by Gulf Professional Publishing, 2019
ISBN 10: 0128177365 ISBN 13: 9780128177365
Taschenbuch. Condition: Neu. Machine Learning for Subsurface Characterization | Siddharth Misra (u. a.) | Taschenbuch | Einband - fest (Hardcover) | Englisch | 2019 | Gulf Professional Publishing | EAN 9780128177365 | Verantwortliche Person für die EU: preigu GmbH & Co. KG, Lengericher Landstr. 19, 49078 Osnabrück, mail[at]preigu[dot]de | Anbieter: preigu.
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Taschenbuch. Condition: Neu. Multifrequency Electromagnetic Data Interpretation for Subsurface Characterization | Siddharth Misra (u. a.) | Taschenbuch | Einband - fest (Hardcover) | Englisch | 2021 | Elsevier Inc | EAN 9780128214398 | Verantwortliche Person für die EU: Libri GmbH, Europaallee 1, 36244 Bad Hersfeld, gpsr[at]libri[dot]de | Anbieter: preigu.
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Multifrequency Electromagnetic Data Interpretation for Subsurface Characterization
Seller: GreatBookPricesUK, Woodford Green, United Kingdom
Seller rating 5 out of 5 stars
US$ 213.44
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Add to basketKartoniert / Broschiert. Condition: New. Learn from 13 practical case studies using field, laboratory, and simulation data Become knowledgeable with data science and analytics terminology relevant to subsurface characterization Learn frameworks, concepts, and methods imp.
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US$ 204.01
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Add to basketKartoniert / Broschiert. Condition: New. Includes case studies to add additional color to the presented content Provides codes for the mechanistic modeling of multi-frequency conductivity and relative permittivity of porous geomaterials Presents detailed descriptions of.
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Machine Learning for Subsurface Characterization
Language: English
Published by Gulf Professional Publishing, 2019
ISBN 10: 0128177365 ISBN 13: 9780128177365
Condition: new. Questo è un articolo print on demand.
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Condition: new. Questo è un articolo print on demand.
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Machine Learning for Subsurface Characterization
Language: English
Published by Gulf Professional Publishing, 2019
ISBN 10: 0128177365 ISBN 13: 9780128177365
US$ 146.78
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Ships from United Kingdom to U.S.A.Quantity: 2 available
Add to basketPaperback. Condition: Brand New. 230 pages. 9.00x6.00x0.51 inches. In Stock. This item is printed on demand.
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Machine Learning for Subsurface Characterization
Language: English
Published by Elsevier Science & Technology, Gulf Professional Publishing, 2019
ISBN 10: 0128177365 ISBN 13: 9780128177365
Seller: BuchWeltWeit Ludwig Meier e.K., Bergisch Gladbach, Germany
Seller rating 5 out of 5 stars
Taschenbuch. Condition: Neu. This item is printed on demand - it takes 3-4 days longer - Neuware -Machine Learning for Subsurface Characterization develops and applies neural networks, random forests, deep learning, unsupervised learning, Bayesian frameworks, and clustering methods for subsurface characterization. Machine learning (ML) focusses on developing computational methods/algorithms that learn to recognize patterns and quantify functional relationships by processing large data sets, also referred to as the 'big data.' Deep learning (DL) is a subset of machine learning that processes 'big data' to construct numerous layers of abstraction to accomplish the learning task. DL methods do not require the manual step of extracting/engineering features; however, it requires us to provide large amounts of data along with high-performance computing to obtain reliable results in a timely manner. This reference helps the engineers, geophysicists, and geoscientists get familiar with data science and analytics terminology relevant to subsurface characterization and demonstrates the use of data-driven methods for outlier detection, geomechanical/electromagnetic characterization, image analysis, fluid saturation estimation, and pore-scale characterization in the subsurface. Englisch.
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US$ 157.45
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Ships from United Kingdom to U.S.A.Quantity: 2 available
Add to basketPaperback. Condition: Brand New. 275 pages. 9.00x6.00x0.79 inches. In Stock. This item is printed on demand.
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Machine Learning for Subsurface Characterization
Language: English
Published by Elsevier Science & Technology, Gulf Professional Publishing, 2019
ISBN 10: 0128177365 ISBN 13: 9780128177365
Taschenbuch. Condition: Neu. nach der Bestellung gedruckt Neuware - Printed after ordering - Machine Learning for Subsurface Characterization develops and applies neural networks, random forests, deep learning, unsupervised learning, Bayesian frameworks, and clustering methods for subsurface characterization. Machine learning (ML) focusses on developing computational methods/algorithms that learn to recognize patterns and quantify functional relationships by processing large data sets, also referred to as the 'big data.' Deep learning (DL) is a subset of machine learning that processes 'big data' to construct numerous layers of abstraction to accomplish the learning task. DL methods do not require the manual step of extracting/engineering features; however, it requires us to provide large amounts of data along with high-performance computing to obtain reliable results in a timely manner. This reference helps the engineers, geophysicists, and geoscientists get familiar with data science and analytics terminology relevant to subsurface characterization and demonstrates the use of data-driven methods for outlier detection, geomechanical/electromagnetic characterization, image analysis, fluid saturation estimation, and pore-scale characterization in the subsurface.
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Multifrequency Electromagnetic Data Interpretation for Subsurface Characterization
Language: English
Published by Elsevier Science & Technology, Elsevier, 2021
ISBN 10: 0128214392 ISBN 13: 9780128214398
Taschenbuch. Condition: Neu. nach der Bestellung gedruckt Neuware - Printed after ordering - Multifrequency Electromagnetic Data Interpretation for Subsurface Characterization focuses on the development and application of electromagnetic measurement methodologies and their interpretation techniques for subsurface characterization. The book guides readers on how to characterize and understand materials using electromagnetic measurements, including dielectric permittivity, resistivity and conductivity measurements. This reference will be useful for subsurface engineers, petrophysicists, subsurface data analysts, geophysicists, hydrogeologists, and geoscientists who want to know how to develop tools and techniques of electromagnetic measurements and interpretation for subsurface characterization.
