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Da: California Books, Miami, FL, U.S.A.
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Aggiungi al carrelloPaperback / softback. Condizione: New. New copy - Usually dispatched within 4 working days. 859.
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Aggiungi al carrelloPaperback. Condizione: Brand New. 600 pages. 9.21x6.14x1.26 inches. In Stock.
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Aggiungi al carrelloHardcover. Condizione: new. Hardcover. There is a large amount of data from different types of sensors, for instance, multispectral electro-optical/infrared (EO/IR) and computed tomography/magnetic resonance (CT/MR) images, among others. How to take advantage of multimodal data for object detection and pattern recognition is an active field of research. Information fusion (IF) is used for enhancing the performance of pattern classification, while deep learning (DL) technologies, including convolutional neural networks (CNNs), are powerful tools for improving object detection, segmentation, and recognition. It is viable to combine DL and IF to boost the overall performance of pattern classification and target recognition. Such combinations of powerful techniques may exploit the deeply hidden features of the multimodal, spatial, or temporal data. This reprint presents cutting-edge research utilizing DL and IF techniques. Key research areas include image and video analysis, covering topics such as super-resolution, object detection, semantic segmentation, video captioning, and text processing, including labeling enhancement and screening misinformation. Biometric applications explore innovations in human identification using facial and finger vein recognition, facial micro-expression analysis, and fatigue detection. Advanced applications extend to handwritten recognition, tracking supermarket customer behavior, parcel sorting, predicting road surface conditions, and plastic waste classification. Shipping may be from our Sydney, NSW warehouse or from our UK or US warehouse, depending on stock availability.
Da: CitiRetail, Stevenage, Regno Unito
EUR 79,63
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Aggiungi al carrelloHardcover. Condizione: new. Hardcover. There is a large amount of data from different types of sensors, for instance, multispectral electro-optical/infrared (EO/IR) and computed tomography/magnetic resonance (CT/MR) images, among others. How to take advantage of multimodal data for object detection and pattern recognition is an active field of research. Information fusion (IF) is used for enhancing the performance of pattern classification, while deep learning (DL) technologies, including convolutional neural networks (CNNs), are powerful tools for improving object detection, segmentation, and recognition. It is viable to combine DL and IF to boost the overall performance of pattern classification and target recognition. Such combinations of powerful techniques may exploit the deeply hidden features of the multimodal, spatial, or temporal data. This reprint presents cutting-edge research utilizing DL and IF techniques. Key research areas include image and video analysis, covering topics such as super-resolution, object detection, semantic segmentation, video captioning, and text processing, including labeling enhancement and screening misinformation. Biometric applications explore innovations in human identification using facial and finger vein recognition, facial micro-expression analysis, and fatigue detection. Advanced applications extend to handwritten recognition, tracking supermarket customer behavior, parcel sorting, predicting road surface conditions, and plastic waste classification. Shipping may be from our UK warehouse or from our Australian or US warehouses, depending on stock availability.
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Da: Rarewaves.com USA, London, LONDO, Regno Unito
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Aggiungi al carrelloTaschenbuch. Condizione: Neu. Magnesium Alloys as Degradable Biomaterials | Yufeng Zheng | Taschenbuch | Einband - flex.(Paperback) | Englisch | 2020 | CRC Press | EAN 9780367575502 | Verantwortliche Person für die EU: Libri GmbH, Europaallee 1, 36244 Bad Hersfeld, gpsr[at]libri[dot]de | Anbieter: preigu.
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Da: Rarewaves USA United, OSWEGO, IL, U.S.A.
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Aggiungi al carrellohardcover. Condizione: Gut. 313 Seiten; 9783527341269.3 Gewicht in Gramm: 1.
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Aggiungi al carrelloHardcover. Condizione: Fine. Leichte Risse. Magnesium Alloys as Degradable Biomaterials provides a comprehensive review of the biomedical applications of biodegradable magnesium and its alloys. Magnesium has seen increasing use in orthopedic and cardiovascular applications over the last decade, particularly for coronary stents and bone implants. The book discusses the basic concepts of biodegradation mechanisms as well as strategies to control biodegradation mode and rate, microstructure, mechanical properties, corrosion resistance to body fluid, and in vitro and in vivo biocompatibility. The recently developed representative magnesium alloy systems--such as Mg-Ca, Mg-Zn, Mg-Sr, Mg-Ag, Mg-Li, and Mg-RE--are reviewed and their special properties illustrated. Also discussed are the biodegradable magnesium alloys/aqueous solution interface theoretical model and potential application prototypes, such as for cardiology and orthopedic surgery products. Challenges of transitioning biodegradable magnesium alloys from raw materials to semi-products to final medical devices are covered along with main findings of worldwide experimental studies. An ideal reference book for researchers in the area of biodegradable metals, it presents the state of the art of magnesium alloys designed for biomedical applications.
Da: Rarewaves.com UK, London, Regno Unito
EUR 116,07
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Aggiungi al carrelloHardback. Condizione: New.
Da: Ria Christie Collections, Uxbridge, Regno Unito
EUR 187,43
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Da: GreatBookPricesUK, Woodford Green, Regno Unito
EUR 187,41
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