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Deep Learning-Based Detection of Catenary Support Component Defect and Fault in
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- Buy It NowDeep Learning-Based Detection of Catenary Support Component Defect and Fault in
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Located in: Fairfield, Ohio, United States
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eBay item number:364755999453
Item specifics
- Condition
- ISBN-13
- 9789819909520
- Type
- NA
- Publication Name
- NA
- ISBN
- 9789819909520
- Publication Year
- 2023
- Format
- Hardcover
- Language
- English
- Book Title
- Deep Learning-Based Detection of Catenary Support Component Defect and Fault in High-Speed Railways
- Illustrator
- Yes
- Book Series
- Advances in High-Speed Rail Technology Ser.
- Publisher
- Springer
- Genre
- Technology & Engineering, Computers
- Item Length
- 9.3 in
- Topic
- Intelligence (Ai) & Semantics, Electronics / General, Automotive
- Item Width
- 6.1 in
About this product
Product Information
This book focuses on the deep learning technologies and their applications in the catenary detection of high-speed railways. As the only source of power for high-speed trains, the catenary's service performance directly affects the safe operation of high-speed railways. This book systematically shows the latest research results of catenary detection in high-speed railways, especially the detection of catenary support component defect and fault. Some methods or algorithms have been adopted in practical engineering. These methods or algorithms provide important references and help the researcher, scholar, and engineer on pantograph and catenary technology in high-speed railways. Unlike traditional detection methods of catenary support component based on image processing, some advanced methods in the deep learning field, including convolutional neural network, reinforcement learning, generative adversarial network, etc., are adopted and improved in this book. The main contents include the overview of catenary detection of electrified railways, the introduction of some advance of deep learning theories, catenary support components and their characteristics in high-speed railways, the image reprocessing of catenary support components, the positioning of catenary support components, the detection of defect and fault, the detection based on 3D point cloud, etc.
Product Identifiers
Publisher
Springer
ISBN-10
981990952x
ISBN-13
9789819909520
eBay Product ID (ePID)
7059022623
Product Key Features
Book Title
Deep Learning-Based Detection of Catenary Support Component Defect and Fault in High-Speed Railways
Language
English
Publication Year
2023
Topic
Intelligence (Ai) & Semantics, Electronics / General, Automotive
Illustrator
Yes
Genre
Technology & Engineering, Computers
Book Series
Advances in High-Speed Rail Technology Ser.
Format
Hardcover
Dimensions
Item Length
9.3 in
Item Width
6.1 in
Additional Product Features
Number of Volumes
1 Vol.
Lc Classification Number
Tl1-483
Table of Content
Overview of Catenary Detection of Electrified Railways.- Advance of Deep Learning.- Catenary Support Components and their Characteristics in High-speed Railways.- Preprocessing of Catenary Support Components' Images.- Positioning of Catenary Support Components.- Detection of Catenary Support Component Defect and Fault.- Detection of The parameters of Catenary Support Devices based on 3D Point Cloud.
Copyright Date
2023
Item description from the seller
Seller assumes all responsibility for this listing.
eBay item number:364755999453
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Fairfield, Ohio, United States
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i***6 (139)- Feedback left by buyer.
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Item as described, good price, well packaged, arrived slightly later than hoped (not in time for Christmas ) but the order was placed in a very busy shipping period. No issue with the seller’s speed of response and sending the item. Great seller!
l***a (3517)- Feedback left by buyer.
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Excellent seller. Timely shipping, safe packing, good communication, great price and as described. Thank you. A+++
o***b (144)- Feedback left by buyer.
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The seller is one of the best there is - high quality books, reasonable prices, securely packaged.
I do, however, recommend some changes to their shipping - they show a shipper (SortHub) on eBay, but the tracking # they email is for a different carrier. It’s difficult to know where my purchase is.
This time, it was delivered a week late. In the grand scheme of things not a big deal. But it shouldn’t be this difficult to accurately track my purchase.
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