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A STUDY OF SOME EFFECTS OF A CONDUCTING HOST ROCK WITH A NEW MODELLING APPARATUS
Published by Geophysics, 1971
Magazine / Periodical
Pamphlet. Condition: Very Good. Vol 36, No 1, pp. 166-183, Illus, Extracted from orig vol, thus begins with title page, trimmed & stapled pamphlet, else VG.
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Condition: New.
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Hepatoprotective Activity Appraisal: In Vivo - In Vitro Evaluations: Hepatoprotective MENO-F
Language: English
Published by LAP LAMBERT Academic Publishing, 2012
ISBN 10: 3843361932 ISBN 13: 9783843361934
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Machine Learning for Semiconductor Materials
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Condition: As New. Unread book in perfect condition.
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Condition: New.
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Engineered Nanomaterials for Innovative Therapies and Biomedicine (Nanotechnology in the Life Sciences)
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Engineered Nanomaterials for Innovative Therapies and Biomedicine (Nanotechnology in the Life Sciences)
Seller: Ria Christie Collections, Uxbridge, United Kingdom
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Machine Learning for Semiconductor Materials
Seller: GreatBookPricesUK, Woodford Green, United Kingdom
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Machine Learning for Semiconductor Materials
Language: English
Published by Taylor & Francis Ltd, 2025
ISBN 10: 103279688X ISBN 13: 9781032796888
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Machine Learning for Semiconductor Materials (Emerging Materials and Technologies)
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Condition: New. 1st ed. 2022 edition NO-PA16APR2015-KAP.
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Condition: New. 1st ed. 2022 edition NO-PA16APR2015-KAP.
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Taschenbuch. Condition: Neu. Engineered Nanomaterials for Innovative Therapies and Biomedicine | Hemen Sarma (u. a.) | Taschenbuch | xviii | Englisch | 2023 | Springer | EAN 9783030829209 | Verantwortliche Person für die EU: Springer Verlag GmbH, Tiergartenstr. 17, 69121 Heidelberg, juergen[dot]hartmann[at]springer[dot]com | Anbieter: preigu.
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Add to basketHardcover. Condition: Brand New. 240 pages. 9.18x6.12x9.45 inches. In Stock.
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Engineered Nanomaterials for Innovative Therapies and Biomedicine
Language: English
Published by Springer International Publishing, 2023
ISBN 10: 3030829200 ISBN 13: 9783030829209
Taschenbuch. Condition: Neu. Druck auf Anfrage Neuware - Printed after ordering - Research on biomedical applications of nanomaterials has exhibited the rapidly evolving field of biomedical sciences by showing how effective they are in treatment. These particles hold considerable potential for biomedical applications. Work is ongoing, and the results suggest a possibility for a sustainable future for nanomaterials in both therapeutic and biomedical fields.This book highlights current and emerging applications, taking global research findings into consideration. We believe the focus on the identification and role of nanomaterial applications in therapeutic and biomedical sciences can lead to novel solutions in the fields. The chapters of this book are disseminated in a manner that can be readily adopted as sources for new and further study. The editors integrate advanced texts in their research that help graduate students, researchers and professors. Additionally, we believe that international readers will be able to make use of this book for reference purposes.
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Engineered Nanomaterials for Innovative Therapies and Biomedicine
Language: English
Published by Springer International Publishing, 2022
ISBN 10: 3030829170 ISBN 13: 9783030829179
Buch. Condition: Neu. Druck auf Anfrage Neuware - Printed after ordering - Research on biomedical applications of nanomaterials has exhibited the rapidly evolving field of biomedical sciences by showing how effective they are in treatment. These particles hold considerable potential for biomedical applications. Work is ongoing, and the results suggest a possibility for a sustainable future for nanomaterials in both therapeutic and biomedical fields.This book highlights current and emerging applications, taking global research findings into consideration. We believe the focus on the identification and role of nanomaterial applications in therapeutic and biomedical sciences can lead to novel solutions in the fields. The chapters of this book are disseminated in a manner that can be readily adopted as sources for new and further study. The editors integrate advanced texts in their research that help graduate students, researchers and professors. Additionally, we believe that international readers will be able to make use of this book for reference purposes.
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Add to basketPaperback. Condition: Brand New. 466 pages. 9.25x6.10x1.06 inches. In Stock.
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Add to basketHardcover. Condition: Brand New. 466 pages. 9.25x6.10x1.00 inches. In Stock.
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Handbook of Research on the Interplay Between Service Quality and Customer Delight
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Handbook of Research on the Interplay Between Service Quality and Customer Delight
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Condition: As New. Unread book in perfect condition.
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Handbook of Research on the Interplay Between Service Quality and Customer Delight
Seller: GreatBookPricesUK, Woodford Green, United Kingdom
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US$ 390.22
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The Warrior's Conundrum
Seller: PBShop.store UK, Fairford, GLOS, United Kingdom
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Add to basketPAP. Condition: New. New Book. Delivered from our UK warehouse in 4 to 14 business days. THIS BOOK IS PRINTED ON DEMAND. Established seller since 2000.
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Hepatoprotective Activity Appraisal: In Vivo - In Vitro Evaluations
Language: English
Published by LAP LAMBERT Academic Publishing, 2012
ISBN 10: 3843361932 ISBN 13: 9783843361934
Condition: New. Dieser Artikel ist ein Print on Demand Artikel und wird nach Ihrer Bestellung fuer Sie gedruckt. Autor/Autorin: Gupta Ghanshyam DasProf. (Dr.) G. D. Gupta, M. Pharm., Ph. D., is a highly qualified and ubiquitously known personality in pharmacy community having more than 14 years of teaching experience and research experience. He is a prominent.
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Machine Learning for Semiconductor Materials (Hardcover)
Language: English
Published by Taylor & Francis Ltd, London, 2025
ISBN 10: 103279688X ISBN 13: 9781032796888
Hardcover. Condition: new. Hardcover. Machine Learning for Semiconductor Materials studies recent techniques and methods of machine learning to mitigate the use of technology computer-aided design (TCAD). It provides various algorithms of machine learning, such as regression, decision tree, support vector machine, K-means clustering and so forth. This book also highlights semiconductor materials and their uses in multi-gate devices and the analog and radio-frequency (RF) behaviours of semiconductor devices with different materials.Features:Focuses on semiconductor materials and the use of machine learning to facilitate understanding and decision-makingCovers RF and noise analysis to formulate the frequency behaviour of semiconductor devices at high frequencyExplores pertinent biomolecule detection methodsReviews recent methods in the field of machine learning for semiconductor materials with real-life applicationsExamines the limitations of existing semiconductor materials and steps to overcome the limitations of existing TCAD softwareThis book is aimed at researchers and graduate students in semiconductor materials, machine learning and electrical engineering. Machine Learning for Semiconductor Materials studies recent techniques and methods of machine learning to mitigate the use of Technology Computer Aided Design (TCAD). It provides the various algorithms of machine learning such as regression, decision tree, support vector machine and k-means clustering and so forth. This item is printed on demand. Shipping may be from multiple locations in the US or from the UK, depending on stock availability.
