Intelligent computing paradigm and c...
International Conference on Innovative Computing and Cutting-edge Technologies (2020 :)

Linked to FindBook      Google Book      Amazon      博客來     
  • Intelligent computing paradigm and cutting-edge technologies = proceedings of the Second International Conference on Innovative Computing and Cutting-edge Technologies (ICICCT 2020) /
  • Record Type: Electronic resources : Monograph/item
    Title/Author: Intelligent computing paradigm and cutting-edge technologies/ edited by Margarita N. Favorskaya ... [et al.].
    Reminder of title: proceedings of the Second International Conference on Innovative Computing and Cutting-edge Technologies (ICICCT 2020) /
    remainder title: ICICCT 2020
    other author: Favorskaya, Margarita N.
    corporate name: International Conference on Innovative Computing and Cutting-edge Technologies
    Published: Cham :Springer International Publishing : : 2021.,
    Description: xxi, 463 p. :ill. (some col.), digital ;24 cm.
    [NT 15003449]: Chapter 1: Throat Microphone Speech Enhancement using Machine Learning Technique -- Chapter 2: Use of Artificial Nueral Network to Predict the Yield of Sinter Plant as a Function of Production Parameters -- Chapter 3: An Approach to Self-Reliant Smart Road using Piezoelectric Effect and Sensor Nodes -- Chapter 4: Using static and dynamic image maps built by Graphic Interchange Format (GIF) and Geographic Information System -- Chapter 5: (GIS) for project based learning air pollution in schools in Hanoi, Vietnam -- Chapter 6: Prediction of Autism Spectrum Disorder Using Feature Engineering for Machine Learning Classifiers -- Chapter 7: A Novel and Smart Parking System for the University Parking System -- Chapter 8: Role of M-Cord Computing Architecture for Over the Top (OTT) Services and Applications -- Chapter 9: Application of virtual reality and augmented reality technology for teaching Biology at High School in Vietnam -- Chapter 10: Internet of Things Based Gesture Controlled Wheel Chair for Physically Disabled -- Chapter 11: An Adaptive Crack Identification Scheme Using Enhanced Segmentation and Feature Extraction for Electrical discharge machining of Inconel X750.
    Contained By: Springer Nature eBook
    Subject: Artificial intelligence - Congresses. -
    Online resource: https://doi.org/10.1007/978-3-030-65407-8
    ISBN: 9783030654078
Location:  Year:  Volume Number: 
Items
  • 1 records • Pages 1 •
 
W9401893 電子資源 11.線上閱覽_V 電子書 EB QA334 .I584 2020 一般使用(Normal) On shelf 0
  • 1 records • Pages 1 •
Multimedia
Reviews
Export
pickup library
 
 
Change password
Login