Explainable earth observation data (17 resultados)

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Librería: Books From California, Simi Valley, CA, Estados Unidos de AmericaBooks From California
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hardcover. Condición: Fine.

Explainable Ai for Earth Observation Data Analysis : Applications, Opportunities and Challenges
Pv, Arun (EDT); Chanussot, Jocelyn (EDT); Mohan, B. Krishna (EDT); Kumar, D Nagesh (EDT); Porwal, Alok (EDT)
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Librería: GreatBookPrices, Columbia, MD, Estados Unidos de AmericaGreatBookPrices
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EUR 154,48
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Explainable Ai for Earth Observation Data Analysis : Applications, Opportunities and Challenges
Pv, Arun (EDT); Chanussot, Jocelyn (EDT); Mohan, B. Krishna (EDT); Kumar, D Nagesh (EDT); Porwal, Alok (EDT)
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Librería: GreatBookPrices, Columbia, MD, Estados Unidos de AmericaGreatBookPrices
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EUR 167,25
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Librería: Books Puddle, New York, NY, Estados Unidos de AmericaBooks Puddle
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EUR 166,07
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Librería: Majestic Books, Hounslow, Reino UnidoMajestic Books
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EUR 163,82
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Explainable Ai for Earth Observation Data Analysis : Applications, Opportunities and Challenges
Pv, Arun (EDT); Chanussot, Jocelyn (EDT); Mohan, B. Krishna (EDT); Kumar, D Nagesh (EDT); Porwal, Alok (EDT)
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Librería: GreatBookPricesUK, Woodford Green, Reino UnidoGreatBookPricesUK
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EUR 155,24
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Explainable Ai for Earth Observation Data Analysis : Applications, Opportunities and Challenges
Pv, Arun (EDT); Chanussot, Jocelyn (EDT); Mohan, B. Krishna (EDT); Kumar, D Nagesh (EDT); Porwal, Alok (EDT)
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Librería: GreatBookPricesUK, Woodford Green, Reino UnidoGreatBookPricesUK
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EUR 156,43
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Librería: THE SAINT BOOKSTORE, Southport, Reino UnidoTHE SAINT BOOKSTORE
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EUR 156,44
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Librería: PBShop.store US, Wood Dale, IL, Estados Unidos de AmericaPBShop.store US
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EUR 186,12
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HRD. Condición: New. New Book. Shipped from UK. Established seller since 2000.

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Librería: PBShop.store UK, Fairford, GLOS, Reino UnidoPBShop.store UK
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EUR 181,56
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Librería: California Books, Miami, FL, Estados Unidos de AmericaCalifornia Books
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EUR 187,05
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- Edición internacional
Librería: UK BOOKS STORE, London, LONDO, Reino UnidoUK BOOKS STORE
Contactar con el vendedorVendedor de 5 estrellasEdición internacionalCondición: Nuevo
EUR 232,92
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Condición: 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 th…e 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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Librería: Revaluation Books, Exeter, Reino UnidoRevaluation Books
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EUR 230,63
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Hardcover. Condición: Brand New. 320 pages. 9.18x6.12x9.21 inches. In Stock.

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Librería: Grand Eagle Retail, Bensenville, IL, Estados Unidos de AmericaGrand Eagle Retail
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EUR 185,40
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Hardcover. Condición: new. Hardcover. The role of artificial intelligence is crucial in the domain of Earth Observation (EO) data analysis. Deep learning-based approaches have improved accuracy, but they have affected the reliability and transparency of EO data. It is critical to improve the explainability of EO data analysis al…gorithms and complex deep learning models to ensure the quality of spatial decisions. This book discusses the various advancements in Explainable AI and investigates their suitability for various EO data analyses offering best practices for implementing algorithms that facilitate big and efficient data processing. It lays the foundation of Explainable EO and helps readers build trustworthy, secure, and robust EO systems.Features:Examines explainability of algorithms from the aspect of generalizability and reliabilityReviews state-of-the-art explainability strategies related to the preprocessing algorithmsProvides explanations for specific evaluation metrics of various EO data processing and preprocessing algorithmsDiscusses explainable ante-hoc and post-hoc approaches for EO data analysisServes as a foundational reference for developing future EO data processing strategiesAddresses the key challenges in making EO data processing algorithms interpretable and offers insights for the future of explainable EO data processingThis book is intended for graduate students, researchers and academics in computer and data science, machine learning, and image processing, as well as professionals in geospatial data science using GIS and remote sensing in Earth and environmental sciences. This book discusses the various advancements in Explainable AI and investigates their suitability for various EO data analyses offering best practices for implementing algorithms that facilitate big and efficient data processing. It lays the foundation of Explainable EO and helps readers build trustworthy, secure, and robust EO systems. This item is printed on demand. Shipping may be from multiple locations in the US or from the UK, depending on stock availability.

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Librería: Biblios, frankfurt am main, HESSE, AlemaniaBiblios
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EUR 175,55
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Condición: New. PRINT ON DEMAND.

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Librería: CitiRetail, Stevenage, Reino UnidoCitiRetail
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EUR 190,77
Envío por EUR 43,10Se envía de Reino Unido a Estados Unidos de AmericaCantidad disponible: 1 disponibles
Hardcover. Condición: new. Hardcover. The role of artificial intelligence is crucial in the domain of Earth Observation (EO) data analysis. Deep learning-based approaches have improved accuracy, but they have affected the reliability and transparency of EO data. It is critical to improve the explainability of EO data analysis al…gorithms and complex deep learning models to ensure the quality of spatial decisions. This book discusses the various advancements in Explainable AI and investigates their suitability for various EO data analyses offering best practices for implementing algorithms that facilitate big and efficient data processing. It lays the foundation of Explainable EO and helps readers build trustworthy, secure, and robust EO systems.Features:Examines explainability of algorithms from the aspect of generalizability and reliabilityReviews state-of-the-art explainability strategies related to the preprocessing algorithmsProvides explanations for specific evaluation metrics of various EO data processing and preprocessing algorithmsDiscusses explainable ante-hoc and post-hoc approaches for EO data analysisServes as a foundational reference for developing future EO data processing strategiesAddresses the key challenges in making EO data processing algorithms interpretable and offers insights for the future of explainable EO data processingThis book is intended for graduate students, researchers and academics in computer and data science, machine learning, and image processing, as well as professionals in geospatial data science using GIS and remote sensing in Earth and environmental sciences. This book discusses the various advancements in Explainable AI and investigates their suitability for various EO data analyses offering best practices for implementing algorithms that facilitate big and efficient data processing. It lays the foundation of Explainable EO and helps readers build trustworthy, secure, and robust EO systems. This item is printed on demand. Shipping may be from our UK warehouse or from our Australian or US warehouses, depending on stock availability.

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Librería: AussieBookSeller, Truganina, VIC, AustraliaAussieBookSeller
Contactar con el vendedorVendedor de 5 estrellasCondición: Nuevo
EUR 214,22
Envío por EUR 31,69Se envía de Australia a Estados Unidos de AmericaCantidad disponible: 1 disponibles
Hardcover. Condición: new. Hardcover. The role of artificial intelligence is crucial in the domain of Earth Observation (EO) data analysis. Deep learning-based approaches have improved accuracy, but they have affected the reliability and transparency of EO data. It is critical to improve the explainability of EO data analysis al…gorithms and complex deep learning models to ensure the quality of spatial decisions. This book discusses the various advancements in Explainable AI and investigates their suitability for various EO data analyses offering best practices for implementing algorithms that facilitate big and efficient data processing. It lays the foundation of Explainable EO and helps readers build trustworthy, secure, and robust EO systems.Features:Examines explainability of algorithms from the aspect of generalizability and reliabilityReviews state-of-the-art explainability strategies related to the preprocessing algorithmsProvides explanations for specific evaluation metrics of various EO data processing and preprocessing algorithmsDiscusses explainable ante-hoc and post-hoc approaches for EO data analysisServes as a foundational reference for developing future EO data processing strategiesAddresses the key challenges in making EO data processing algorithms interpretable and offers insights for the future of explainable EO data processingThis book is intended for graduate students, researchers and academics in computer and data science, machine learning, and image processing, as well as professionals in geospatial data science using GIS and remote sensing in Earth and environmental sciences. This book discusses the various advancements in Explainable AI and investigates their suitability for various EO data analyses offering best practices for implementing algorithms that facilitate big and efficient data processing. It lays the foundation of Explainable EO and helps readers build trustworthy, secure, and robust EO systems. This item is printed on demand. Shipping may be from our Sydney, NSW warehouse or from our UK or US warehouse, depending on stock availability.