Artificial intelligence and robotics
Author(s)
Bibliographic Information
Artificial intelligence and robotics
(Studies in computational intelligence, v. 917)
Springer, c2021
Available at 2 libraries
  Aomori
  Iwate
  Miyagi
  Akita
  Yamagata
  Fukushima
  Ibaraki
  Tochigi
  Gunma
  Saitama
  Chiba
  Tokyo
  Kanagawa
  Niigata
  Toyama
  Ishikawa
  Fukui
  Yamanashi
  Nagano
  Gifu
  Shizuoka
  Aichi
  Mie
  Shiga
  Kyoto
  Osaka
  Hyogo
  Nara
  Wakayama
  Tottori
  Shimane
  Okayama
  Hiroshima
  Yamaguchi
  Tokushima
  Kagawa
  Ehime
  Kochi
  Fukuoka
  Saga
  Nagasaki
  Kumamoto
  Oita
  Miyazaki
  Kagoshima
  Okinawa
  Korea
  China
  Thailand
  United Kingdom
  Germany
  Switzerland
  France
  Belgium
  Netherlands
  Sweden
  Norway
  United States of America
Note
Includes bibliographical references
Description and Table of Contents
Description
This book provides insights into research in the field of artificial intelligence in combination with robotics technologies. The integration of artificial intelligence and robotic technologies is a highly topical area for researchers and developers from academia and industry around the globe, and it is likely that artificial intelligence will become the main approach for the next generation of robotics research. The tremendous number of artificial intelligence algorithms and big data solutions has significantly extended the range of potential applications for robotic technologies, and has also brought new challenges for the artificial intelligence community. Sharing recent advances in the field, the book features papers by young researchers presented at the 4th International Symposium on Artificial Intelligence and Robotics 2019 (ISAIR2019), held in Daegu, Korea, on August 20-24, 2019.
Table of Contents
CBCNet: A Deep Learning Approach to Urban Images Classification in Urban Computing.- Building Label-Balanced Emotion Corpus Based on Active Learning for Text Emotion Classification.- Arbitrary Perspective Crowd Counting via Local to Global Algorithm.- A Semi-supervised Learning Method for Automatic Nuclei Segmentation Using Generative Adversarial Networks.- Research on Image Encryption based on Wavelet Transform Integrating with 2D Logistic.- High level Video Event Modeling, Recognition and Reasoning via Petri Net.- Question Generalization in Conversation.- Optimal Scheduling of IoT Tasks in Cloud-Fog Computing Networks.- Context-aware based Discriminative Siamese Neural Network for Face Verification.- Object-level Matching for Multi-source Image using Improved Dictionary Learning Algorithm.- Classification of Hyperspectral image based on Shadow Enhancement by Dynamic Stochastic Resonance.- Generative Image Inpainting.- Rice Growth Prediction Based on Periodic Growth.- A Multi-scale Progressive Method of Image Super-resolution.- Track related Bursty topics in Weibo.- Terrain classification algorithm for Lunar Rover based on visual convolutional neural network.- An Automatic Evaluation Method for Modal Logic Combination Formula.- Research on CS-based Channel Estimation Algorithm for UWB Communications.- A New Unambiguous Acquisition Algorithm for BOC(n,n) Signals.
by "Nielsen BookData"