Intelligent computing and networking [electronic resource] : proceedings of IC-ICN 2021 / Valentina Emilia Balas, Vijay Bhaskar Semwal, Anand Khandare, editors.
2022
Q334
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Citation
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Details
Title
Intelligent computing and networking [electronic resource] : proceedings of IC-ICN 2021 / Valentina Emilia Balas, Vijay Bhaskar Semwal, Anand Khandare, editors.
Meeting Name
ISBN
9789811648632 (electronic bk.)
9811648638 (electronic bk.)
981164862X
9789811648625
9811648638 (electronic bk.)
981164862X
9789811648625
Published
Singapore : Springer, 2022.
Language
English
Description
1 online resource.
Item Number
10.1007/978-981-16-4863-2 doi
Call Number
Q334
Dewey Decimal Classification
006.3
Summary
This book gathers high-quality peer-reviewed research papers presented at the International Conference on Intelligent Computing and Networking (IC-ICN 2021), organized by the Computer Department, Thakur College of Engineering and Technology, in Mumbai, Maharashtra, India, on February 2627, 2021. The book includes innovative and novel papers in the areas of intelligent computing, artificial intelligence, machine learning, deep learning, fuzzy logic, natural language processing, humanmachine interaction, big data mining, data science and mining, applications of intelligent systems in health ,care, finance, agriculture and manufacturing, high-performance computing, computer networking, sensor and wireless networks, Internet of Things (IoT), software-defined networks, cryptography, mobile computing, digital forensics, and blockchain technology.
Note
Includes author index.
Access Note
Access limited to authorized users.
Source of Description
Online resource; title from PDF title page (SpringerLink, viewed February 23, 2022).
Series
Lecture notes in networks and systems ; v. 301.
Available in Other Form
Print version: 9789811648625
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Record Appears in
Table of Contents
Performance Evaluation of an IoT Edge-based Computer Vision Scheme for Agglomerations Detection Covid-19 Scenarios
Comparative Analysis of Classification and Detection of Breast Cancer from Histopathology Images using Deep Neural Network
Determining Key Performance Indicators for a Doctoral School. .
Comparative Analysis of Classification and Detection of Breast Cancer from Histopathology Images using Deep Neural Network
Determining Key Performance Indicators for a Doctoral School. .