Deep Learning for Crack-Like Object Detection - Couverture rigide

Zhang, Kaige; Cheng, Heng-Da

Couverture rigide

ISBN 10 : 1032181184 ISBN 13 : 9781032181189

Editeur : CRC Press, 2023

Synopsis

Accurately detecting crack localization is not an easy task. This book addresses important issues in detecting crack-like objects and provides a practical smart pavement surface inspection system using deep learning.

A propos du livre

À propos de l?auteur

Kaige Zhang has a B.S. degree (2011) in electronic engineering from the Harbin Institute of Technology, China, and a Ph.D. degree (2019) in computer science from Utah State University, USA. His research interests include computer vision, machine learning, and the applications on intelligent transportation systems, precision agriculture, and biomedical data analytics. Dr. Zhang has been the reviewer for many top journals in his research areas, such as IEEE Transactions on ITS, IEEE Trans. On T-IV, J. of Comput. in Civil Eng., Scientific Report, etc.

Heng-Da Cheng has a Ph.D. in Electrical Engineering from Purdue University, West Lafayette, IN, USA in 1985 under the supervision Prof. K. S. Fu. He is a Full Professor with the Department of Computer Science, Utah State University, Logan, UT. He has authored over 350 technical papers and is the Associate Editor of Pattern Recognition, Information Sciences, and New Mathematics and Natural Computation.

Détails de l'édition

• Éditeur: CRC Press
• Date d'édition: 2023
• Langue: anglais
• ISBN 10: 1032181184
• ISBN 13: 9781032181189
• Reliure: Relié
• Nombre de pages: 106
• Coordonnées du fabricant: non disponible
• Personne responsable: gpsr@libri.de; gpsr@libri.de; ; Friedensallee 273; Hamburg; 22763; Allemagne