There's still time! Find the perfect Father's Day gift with store pickup | Shop NowThere's still time! Find the perfect Father's Day gift with store pickup | Shop Now
Add Item to wish listAdd Item to wish list

Neural Information Processing: 30th International Conference, ICONIP 2023, Changsha, China, November 20-23, 2023, Proceedings, Part VII

By Biao Luo (Editor), Long Cheng (Editor), Zheng-Guang Wu (Editor), Hongyi Li (Editor), Chaojie Li (Editor)
eBook
$89.00
By Biao Luo (Editor), Long Cheng (Editor), Zheng-Guang Wu (Editor), Hongyi Li (Editor), Chaojie Li (Editor)
Membership Card Icon
Collect stamps to save with Rewards. 10 stamps = $5. Learn More
Formats
See All Formats & Editions
Select a store to view item availability.

Available on compatible , the free NOOK App, and in My Digital Library

NOOK App

Download NOOK app

NOOK Devices

NOOK eReaders

  • NOOK GlowLight 4 Plus
  • NOOK GlowLight 4e
  • NOOK GlowLight 4
  • NOOK GlowLight Plus 7.8"
  • NOOK GlowLight 3
  • NOOK GlowLight Plus 6"

NOOK Tablets

  • NOOK 8.7" Reading Tablet
  • NOOK 9" Lenovo Tablet
  • NOOK 10" HD Lenovo Tablet
  • NOOK Tablet 7" & 10.1"
  • NOOK by Samsung Galaxy Tab 7.0 [Tab A and Tab 4]
  • NOOK by Samsung [Tab 4 10.1, S2 & E]

Free NOOK Reading Apps

  • NOOK for iOS
  • NOOK for Android

BN.com website

Go to your Digital Library in My Account

Limit 1 per customer
The nine-volume set constitutes the refereed proceedings of the 30th International Conference on Neural Information Processing, ICONIP 2023, held in Changsha, China, in November 2023.
The 1274 papers presented in the proceedings set were carefully reviewed and selected from 652 submissions.
The ICONIP conference aims to provide a leading international forum for researchers, scientists, and industry professionals who are working in neuroscience, neural networks, deep learning, and related fi...

Categories

Science & TechnologyComputersEngineeringTechnologyMechanical Engineering & DynamicsRobotics & Artificial IntelligenceArtificial Intelligence (AI)Robotics & Computer Vision