Idioma: Inglés
Publicado por Our Sunday Visitor Inc., Huntington, Indiana, 1990
ISBN 10: 0879731893 ISBN 13: 9780879731892
Librería: Henry Stachyra, Bookseller, Stillwater, MN, Estados Unidos de America
EUR 40,60
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Añadir al carritoSoft cover. Condición: Good. Teacher's Edition. 96pp. Bound in original light blue soft covers. Light wear- mainly edge wear - to exterior and a touch of sunning to covers. Several very minor dings to edges of pages. Text clean. Binding sound. Overall, a good, clean, sound copy. Includes a forward by the editors, an additional contributions by them, another by Joseph W. Wieczerzak, Chairman, Polish National Catholic Church Commission on History and Archives, and 2 contributions by Msgr. John P. Gallagher, Historian, Diocese of Scranton. SCARCE Teacher's Edition.
Librería: Ria Christie Collections, Uxbridge, Reino Unido
EUR 55,22
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Publicado por Stratz Publishing, 1997
Librería: Frost Pocket Farm - IOBA, Fleetville, PA, Estados Unidos de America
Miembro de asociación: IOBA
EUR 40,60
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Añadir al carritoPaperback. Paperback, approximately 8 1/2 x 11 inches, 286 pp. Consists of letters from bishops, history of the PNCC and some of its parishes, plus numerous ads. Includes laid-in folder with program of celebration and two drawings of the Cathedral and Bishop Hodur. Hard to find. Oversize. Religion; history; Polish immigrants; genealogy; Scranton, Pennsylvania.
Librería: Ria Christie Collections, Uxbridge, Reino Unido
EUR 141,88
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Librería: Ria Christie Collections, Uxbridge, Reino Unido
EUR 141,88
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Librería: GreatBookPrices, Columbia, MD, Estados Unidos de America
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Añadir al carritoCondición: New. 1st ed. 2022 edition NO-PA16APR2015-KAP.
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Añadir al carritoTaschenbuch. Condición: Neu. Synthetic Aperture Radar (SAR) Data Applications | Maciej Rysz (u. a.) | Taschenbuch | Springer Optimization and Its Applications | x | Englisch | 2024 | Springer | EAN 9783031212277 | 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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Añadir al carritoCondición: Hervorragend. Zustand: Hervorragend | Seiten: 288 | Sprache: Englisch | Produktart: Bücher | This carefully curated volume presents an in-depth, state-of-the-art discussion on many applications of Synthetic Aperture Radar (SAR). Integrating interdisciplinary sciences, the book features novel ideas, quantitative methods, and research results, promising to advance computational practices and technologies within the academic and industrial communities. SAR applications employ diverse and often complex computational methods rooted in machine learning, estimation, statistical learning, inversion models, and empirical models. Current and emerging applications of SAR data for earth observation, object detection and recognition, change detection, navigation, and interference mitigation are highlighted. Cutting edge methods, with particular emphasis on machine learning, are included. Contemporary deep learning models in object detection and recognition in SAR imagery with corresponding feature extraction and training schemes are considered. State-of-the-art neural network architectures in SAR-aided navigation are compared and discussed further. Advanced empirical and machine learning models in retrieving land and ocean information ¿ wind, wave, soil conditions, among others, are also included.
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Añadir al carritoBuch. Condición: Neu. Druck auf Anfrage Neuware - Printed after ordering - This carefully curated volume presents an in-depth, state-of-the-art discussion on many applications ofSynthetic Aperture Radar (SAR). Integrating interdisciplinary sciences, the book features novel ideas, quantitative methods, and research results,promisingto advance computational practices and technologies within the academic and industrial communities. SAR applications employ diverse and often complex computational methods rooted in machine learning, estimation, statistical learning, inversion models, and empirical models. Current and emerging applications of SAR data for earth observation, object detection and recognition, change detection, navigation, and interference mitigation are highlighted. Cutting edge methods, with particular emphasis on machine learning, are included. Contemporary deep learning models in object detection and recognition in SAR imagery with corresponding feature extraction and training schemes are considered. State-of-the-art neural network architectures in SAR-aided navigation are compared and discussed further.Advanced empirical and machine learning models in retrieving land and ocean information - wind, wave, soil conditions, among others, are also included.
EUR 156,28
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Añadir al carritoTaschenbuch. Condición: Neu. Druck auf Anfrage Neuware - Printed after ordering - This carefully curated volume presents an in-depth, state-of-the-art discussion on many applications ofSynthetic Aperture Radar (SAR). Integrating interdisciplinary sciences, the book features novel ideas, quantitative methods, and research results,promisingto advance computational practices and technologies within the academic and industrial communities. SAR applications employ diverse and often complex computational methods rooted in machine learning, estimation, statistical learning, inversion models, and empirical models. Current and emerging applications of SAR data for earth observation, object detection and recognition, change detection, navigation, and interference mitigation are highlighted. Cutting edge methods, with particular emphasis on machine learning, are included. Contemporary deep learning models in object detection and recognition in SAR imagery with corresponding feature extraction and training schemes are considered. State-of-the-art neural network architectures in SAR-aided navigation are compared and discussed further.Advanced empirical and machine learning models in retrieving land and ocean information - wind, wave, soil conditions, among others, are also included.
Librería: UK BOOKS STORE, London, LONDO, Reino Unido
EUR 227,22
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Añadir al carritoCondición: New. Brand New! Fast Delivery This is an International Edition and ship within 24-48 hours. Deliver by FedEx and Dhl, & Aramex, UPS, & USPS and we do accept APO and PO BOX Addresses. Order can be delivered worldwide within 6-10 days and we do have flat rate for up to 2LB. Extra shipping charges will be requested if the Book weight is more than 5 LB. This Item May be shipped from India, United states & United Kingdom. Depending on your location and availability.
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Añadir al carritoPaperback. Condición: Brand New. 288 pages. 9.25x6.10x0.65 inches. In Stock.
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Añadir al carritoHardcover. Condición: Brand New. 288 pages. 9.25x6.10x0.91 inches. In Stock.
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Añadir al carritoHardcover. Condición: gut. 2023. Synthetic Aperture Radar (SAR) Data Applications In deutscher Sprache. pages.
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Añadir al carritoPAP. Condición: New. New Book. Shipped from UK. THIS BOOK IS PRINTED ON DEMAND. Established seller since 2000.
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Añadir al carritoPAP. Condición: 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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Añadir al carritoCondición: new. Questo è un articolo print on demand.
Librería: Brook Bookstore On Demand, Napoli, NA, Italia
EUR 118,26
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Idioma: Inglés
Publicado por Springer, Springer Jan 2024, 2024
ISBN 10: 3031212274 ISBN 13: 9783031212277
Librería: BuchWeltWeit Ludwig Meier e.K., Bergisch Gladbach, Alemania
EUR 149,79
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Añadir al carritoTaschenbuch. Condición: Neu. This item is printed on demand - it takes 3-4 days longer - Neuware -This carefully curated volume presents an in-depth, state-of-the-art discussion on many applications ofSynthetic Aperture Radar (SAR). Integrating interdisciplinary sciences, the book features novel ideas, quantitative methods, and research results,promisingto advance computational practices and technologies within the academic and industrial communities. SAR applications employ diverse and often complex computational methods rooted in machine learning, estimation, statistical learning, inversion models, and empirical models. Current and emerging applications of SAR data for earth observation, object detection and recognition, change detection, navigation, and interference mitigation are highlighted. Cutting edge methods, with particular emphasis on machine learning, are included. Contemporary deep learning models in object detection and recognition in SAR imagery with corresponding feature extraction and training schemes are considered. State-of-the-art neural network architectures in SAR-aided navigation are compared and discussed further.Advanced empirical and machine learning models in retrieving land and ocean information - wind, wave, soil conditions, among others, are also included. 288 pp. Englisch.
Idioma: Inglés
Publicado por Springer, Springer Jan 2023, 2023
ISBN 10: 303121224X ISBN 13: 9783031212246
Librería: BuchWeltWeit Ludwig Meier e.K., Bergisch Gladbach, Alemania
EUR 149,79
Cantidad disponible: 2 disponibles
Añadir al carritoBuch. Condición: Neu. This item is printed on demand - it takes 3-4 days longer - Neuware -This carefully curated volume presents an in-depth, state-of-the-art discussion on many applications ofSynthetic Aperture Radar (SAR). Integrating interdisciplinary sciences, the book features novel ideas, quantitative methods, and research results,promisingto advance computational practices and technologies within the academic and industrial communities. SAR applications employ diverse and often complex computational methods rooted in machine learning, estimation, statistical learning, inversion models, and empirical models. Current and emerging applications of SAR data for earth observation, object detection and recognition, change detection, navigation, and interference mitigation are highlighted. Cutting edge methods, with particular emphasis on machine learning, are included. Contemporary deep learning models in object detection and recognition in SAR imagery with corresponding feature extraction and training schemes are considered. State-of-the-art neural network architectures in SAR-aided navigation are compared and discussed further.Advanced empirical and machine learning models in retrieving land and ocean information - wind, wave, soil conditions, among others, are also included. 288 pp. Englisch.