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