Yang Xiaochen (34 results)

- Hardcover
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- Hardcover
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- Hardcover
Seller: California Books, Miami, FL, U.S.A.California Books
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- Hardcover
Seller: PBShop.store UK, Fairford, GLOS, United KingdomPBShop.store UK
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HRD. Condition: New. New Book. Shipped from UK. Established seller since 2000.

- Hardcover
Seller: Ria Christie Collections, Uxbridge, United KingdomRia Christie Collections
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US$ 166.74
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Condition: New. In.

- Softcover
Seller: Rarewaves USA, OSWEGO, IL, U.S.A.Rarewaves USA
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- Hardcover
Seller: Ria Christie Collections, Uxbridge, United KingdomRia Christie Collections
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Condition: New. In.

- Hardcover
Seller: GreatBookPricesUK, Woodford Green, United KingdomGreatBookPricesUK
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Condition: New.

- Hardcover
Seller: Buchpark, Trebbin, GermanyBuchpark
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US$ 99.40
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Condition: Hervorragend. Zustand: Hervorragend | Sprache: Englisch | Produktart: Bücher | Chaocan Xiang is an Associate Professor at the College of Computer Science, Chongqing University, China. He received his bachelor¿s degree and Ph.D. from Nanjing Institute of Communication Engineering, China, in 2009 and 2014, respectively.… He subsequently studied at the University of Michigan-Ann Arbor in 2017 (supervised by Prof. Kang G. Shin, IEEE Life Fellow, ACM Fellow). His research interests mainly include UAVs/vehicle-based crowdsensing, urban computing, Internet of Things, Artificial Intelligence, and big data. He has published more than 50 papers, including over 20 in leading venues such as IEEE Transactions on Mobile Computing, IEEE Transactions on Parallel and Distributed Systems, IEEE INFOCOM, and ACM Ubicomp. He has received a best paper award and a best poster award at two international conferences. Panlong Yang is a full Professor at the University of Science and Technology of China. He has been supported by the NSF Jiangsu through a Distinguished Young Scholarship and was honored as a CCF Distinguished Lecturer in 2015. He has published over 150 papers, including 40 in CCF Class A. Since 2012, he has supervised 14 master¿s and Ph.D. candidates, including two excellent dissertation winners in Jiangsu Province and the PLA education system. He has been supported by the National Key Development Project and NSFC projects. He has nominated by ACM MobiCom 2009 for the best demo honored mention awards, and won best paper awards at the IEEE MSN and MASS. He has served as general chair of BigCom and TPC chair of IEEE MSN. In addition, he has served as a TPC member of INFOCOM (CCF Class A) and an associate editor of the Journal of Communication of China. He is a Senior Member of the IEEE (2019). Fu Xiao received his Ph.D. in Computer Science and Technology from the Nanjing University of Science and Technology, Nanjing, China, in 2007. He is currently a Professor and Dean of the School of Computer, Nanjing University of Posts and Telecommunications. He has authored more than 60 papers in respected conference proceedings and journals, including IEEE INFOCOM, ACM Mobihoc, IEEE JASC, IEEE/ACM ToN, IEEE TPDS, IEEE TMC, etc. His main research interest is in the Internet of Things. He is a member of the IEEE Computer Society and the Association for Computing Machinery. Xiaochen Fan received his B.S. degree in Computer Science from Beijing Institute of Technology, Beijing, China, in 2013, and his Ph.D. from the University of Technology Sydney, NSW, Australia, in 2021. His research interests include mobile/pervasive computing, deep learning, and Internet of Things (IoT). He has published over 25 peer-reviewed papers in high-quality journals and IEEE/ACM international conference proceedings.

- Hardcover
Seller: GreatBookPrices, Columbia, MD, U.S.A.GreatBookPrices
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US$ 217.72
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Condition: New.

- Hardcover
Seller: GreatBookPrices, Columbia, MD, U.S.A.GreatBookPrices
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US$ 222.19
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Condition: As New. Unread book in perfect condition.

- Softcover
Seller: Rarewaves USA United, OSWEGO, IL, U.S.A.Rarewaves USA United
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US$ 198.46
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Paperback. Condition: New.

- Hardcover
Seller: GreatBookPricesUK, Woodford Green, United KingdomGreatBookPricesUK
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US$ 231.12
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Condition: As New. Unread book in perfect condition.

- Softcover
Seller: Rarewaves.com USA, London, LONDO, United KingdomRarewaves.com USA
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US$ 242.80
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Paperback. Condition: New.

- Softcover
Seller: Books Puddle, New York, NY, U.S.A.Books Puddle
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US$ 266.00
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Condition: New. 2023rd edition NO-PA16APR2015-KAP.

- Hardcover
Seller: Books Puddle, New York, NY, U.S.A.Books Puddle
Contact seller4-star sellerCondition: New
US$ 266.73
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Condition: New. 2023rd edition NO-PA16APR2015-KAP.

- Softcover
Seller: Rarewaves.com UK, London, United KingdomRarewaves.com UK
Contact seller5-star sellerCondition: New
US$ 239.79
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Paperback. Condition: New.

- Hardcover
Seller: Revaluation Books, Exeter, United KingdomRevaluation Books
Contact seller5-star sellerCondition: New
US$ 319.44
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Hardcover. Condition: Brand New. 214 pages. 9.25x6.10x9.21 inches. In Stock.

- Hardcover
Seller: BUCHSERVICE / ANTIQUARIAT Lars Lutzer, Wahlstedt, GermanyBUCHSERVICE / ANTIQUARIAT Lars Lutzer
Contact seller5-star sellerCondition: Used - Very good
US$ 295.23
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Hardcover. Condition: gut. 2023. Multi-dimensional Urban Sensing Using Crowdsensing Data In deutscher Sprache. pages.

- Hardcover
- Print on Demand
Seller: Majestic Books, Hounslow, United KingdomMajestic Books
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US$ 91.26
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Condition: New. Print on Demand.

- Hardcover
- Print on Demand
Seller: Books Puddle, New York, NY, U.S.A.Books Puddle
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US$ 99.22
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Condition: New. Print on Demand.

- Hardcover
- Print on Demand
Seller: Biblios, frankfurt am main, HESSE, GermanyBiblios
Contact seller4-star sellerCondition: New
US$ 99.90
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Condition: New. PRINT ON DEMAND.

- Hardcover
- Print on Demand
Seller: Majestic Books, Hounslow, United KingdomMajestic Books
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US$ 146.42
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Condition: New. Print on Demand.

- Hardcover
- Print on Demand
Seller: Books Puddle, New York, NY, U.S.A.Books Puddle
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Condition: New. Print on Demand.

- Hardcover
- Print on Demand
Seller: Biblios, frankfurt am main, HESSE, GermanyBiblios
Contact seller4-star sellerCondition: New
US$ 156.95
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Condition: New. PRINT ON DEMAND.

- Hardcover
- Print on Demand
Seller: AHA-BUCH GmbH, Einbeck, GermanyAHA-BUCH GmbH
Contact seller5-star sellerCondition: New
US$ 118.84
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Buch. Condition: Neu. nach der Bestellung gedruckt Neuware - Printed after ordering - The purpose of this reprint is to provide readers with a comprehensive understanding of the latest advancements and technical approaches in the fields of remote sensing target detection and object detection. Remote sensing target detection focu…ses on identifying and locating specific targets of interest within remote sensing images, serving as a cornerstone for applications such as resource exploration, environmental monitoring, and national security. Recent years have witnessed significant progress in artificial intelligence (AI), which has been widely applied to tasks such as regression, clustering, and classification. While AI-driven methods exhibit remarkable capabilities in processing the vast volumes of data generated by remote sensing, they heavily rely on abundant high-quality labeled samples, posing challenges in the context of remote sensing big data. Consequently, their performance is often constrained by the scarcity of labeled data and the complexity of diverse backgrounds, making robust and practical target detection an ongoing challenge. This reprint gathers insights from leading experts, presenting cutting-edge research findings and offering forward-looking perspectives to address these pressing issues in remote sensing and object detection.

- Hardcover
- Print on Demand
Seller: preigu, Osnabrück, Germanypreigu
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Buch. Condition: Neu. Artificial Intelligence-Driven Methods for Remote Sensing Target and Object Detection II | Buch | Englisch | 2025 | MDPI AG | EAN 9783725836055 | Verantwortliche Person für die EU: Libri GmbH, Europaallee 1, 36244 Bad Hersfeld, gpsr[at]libri[dot]de | Anbieter: preigu Print on Demand.

Language: English
Published by Springer, Berlin|Springer Nature Singapore|Springer, 2024
- Softcover
- Print on Demand
Seller: moluna, Greven, Germanymoluna
Contact seller5-star sellerCondition: New
US$ 181.61
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Condition: New. Dieser Artikel ist ein Print on Demand Artikel und wird nach Ihrer Bestellung fuer Sie gedruckt. Chaocan Xiang is an Associate Professor at the College of Computer Science, Chongqing University, China. He received his bachelor s degree and Ph.D. from Nanjing Institute of Communication Engineering, China, in 2009…and 2014, respectively. He subsequent.

Language: English
Published by Springer, Berlin|Springer Nature Singapore|Springer, 2023
- Hardcover
- Print on Demand
Seller: moluna, Greven, Germanymoluna
Contact seller5-star sellerCondition: New
US$ 181.61
US$ 56.19 shippingShips from Germany to U.S.A.Quantity: Over 20 available
Condition: New. Dieser Artikel ist ein Print on Demand Artikel und wird nach Ihrer Bestellung fuer Sie gedruckt. Chaocan Xiang is an Associate Professor at the College of Computer Science, Chongqing University, China. He received his bachelor s degree and Ph.D. from Nanjing Institute of Communication Engineering, China, in 2009…and 2014, respectively. He subsequent.

- Hardcover
- Print on Demand
Seller: AHA-BUCH GmbH, Einbeck, GermanyAHA-BUCH GmbH
Contact seller5-star sellerCondition: New
US$ 218.57
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Buch. Condition: Neu. nach der Bestellung gedruckt Neuware - Printed after ordering - The aim of this reprint is to provide readers with an in-depth understanding of state-of-the-art technical approaches related to remote sensing target detection and object detection. Remote sensing target detection or object detection determine…s the presence of a target or object of interest in a remote sensing image, playing a decisive role in the fields of resource detection, environmental monitoring, national security, etc. In recent years, artificial intelligence (AI) has made great progress and been successfully applied to regression, clustering, classification and many other fields. Although AI-driven approaches can handle massive quantities of data acquired by remote sensors, they require many high-quality labeled samples to deal with remote sensing big data, leading to fragile results. That is, AI-driven approaches with strong ability for feature extraction have limited performance and are still far from practical demands. Thus, target detection or object detection in the presence of a complicated background with limited labeled samples remains a challenging mission. In this reprint, leading experts in the field share their insights, latest research results, and perspectives for the future.