Sell, buy or rent Lin Yang textbooks

Flood Resources Utilization in the Yangtze River Basin

by Shouren Zheng, Zhiyu Zhong, Qiang Zou, Yi Ding, Lin Yang, Xue Luo
ISBN-13: 9789811581076
ISBN-10: 981158107X
Edition: 1st ed. 2021
Publication date: 2020
Publisher: Springer
Format: Hardcover 369 pages

Han yu ci hui yu Hua xia wen hua =: Hanyu cihui yu huaxia wenhua (Mandarin Chinese Edition)

by Lin Yang
ISBN-13: 9787801260574
ISBN-10: 7801260570
Edition: Di 1 ban
Publication date: 1996
Publisher: Xin hua shu dian jing xiao
Format: Unknown Binding 266 pages

Deep Learning and Convolutional Neural Networks for Medical Image Computing: Precision Medicine, High Performance and Large-Scale Datasets (Advances in Computer Vision and Pattern Recognition)

by Le Lu, Yefeng Zheng, Gustavo Carneiro, Lin Yang
ISBN-13: 9783319827131
ISBN-10: 3319827138
Edition: Softcover reprint of the original 1st ed. 2017
Publication date: 2018
Publisher: Springer
Format: Paperback 339 pages

Deep Learning and Convolutional Neural Networks for Medical Image Computing: Precision Medicine, High Performance and Large-Scale Datasets (Advances in Computer Vision and Pattern Recognition)

by Le Lu, Yefeng Zheng, Gustavo Carneiro, Lin Yang
ISBN-13: 9783319429984
ISBN-10: 3319429981
Edition: 1st ed. 2017
Publication date: 2017
Publisher: Springer
Format: Hardcover 339 pages

Deep Learning and Convolutional Neural Networks for Medical Imaging and Clinical Informatics (Advances in Computer Vision and Pattern Recognition)

by Le Lu, Xiaosong Wang, Gustavo Carneiro, Lin Yang
ISBN-13: 9783030139681
ISBN-10: 3030139689
Edition: 1st ed. 2019
Publication date: 2019
Publisher: Springer
Format: Hardcover 472 pages

DYNAMICALLY ENABLED CYBER DEFENSE

by Lin Yang, Quan Yu
ISBN-13: 9789811234330
ISBN-10: 9811234337
Publication date: 2021
Publisher: World Scientific Publishing Company
Format: Hardcover 388 pages

Deep Learning and Convolutional Neural Networks for Medical Imaging and Clinical Informatics (Advances in Computer Vision and Pattern Recognition)

by Le Lu, Xiaosong Wang, Gustavo Carneiro, Lin Yang
ISBN-13: 9783030139711
ISBN-10: 3030139719
Edition: 1st ed. 2019
Publication date: 2020
Publisher: Springer
Format: Paperback 476 pages