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Intelligent Computing and Applications : Proceedings of ICDIC 2020 / edited by B. Narendra Kumar Rao, R. Balasubramanian, Shiuh-Jeng Wang, Richi Nayak.

Springer eBooks EBA - Intelligent Technologies and Robotics Collection 2023 Available online

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Format:
Book
Contributor:
Rao, B. Narendra Kumar, editor.
Series:
Smart Innovation, Systems and Technologies, 2190-3026 ; 315
Language:
English
Subjects (All):
Computational intelligence.
Data mining.
Data protection.
Computer networks--Security measures.
Computer networks.
Application software.
Computational Intelligence.
Data Mining and Knowledge Discovery.
Data and Information Security.
Mobile and Network Security.
Computer and Information Systems Applications.
Local Subjects:
Computational Intelligence.
Data Mining and Knowledge Discovery.
Data and Information Security.
Mobile and Network Security.
Computer and Information Systems Applications.
Physical Description:
1 online resource (489 pages)
Edition:
1st ed. 2023.
Place of Publication:
Singapore : Springer Nature Singapore : Imprint: Springer, 2023.
Summary:
This book presents novel work of academicians, researchers, industry professionals, practitioners, and budding engineers to disseminate the most recent innovations, trends, and concerns along with the present-day challenges and the solving approaches for implementation in the domains of data science, intelligent computing, and computer networks and security. It is a collection of selected high-quality research papers from the International Conference on Data Science, Intelligent Computing and Cyber Security (ICDIC 2020) organized by Sree Vidyanikethan Engineering College, Tirupati, India, during 27–29 February 2020. It discusses the latest challenges and solutions in the field of data innovation, data management, data analysis, data security, and intelligent methods and applications.
Contents:
Prediction of Depression Related Posts in Instagram Social Media Platform
Classification of Credit Card Frauds Using Autoencoded Feature
BIVFN: Blockchain-enabled Intelligent Vehicular Fog Networks
Deep Learning Approach for Pedestrian Detection, Tracking, Suspicious Activity Recognition in Academic Environment
Data-Driven Approach to Deflate Consumption in Delay Tolerant Networks
Code-level Self-adaptive Approach for Building Reusable Software Components
Design of a Deep Network Model for Weed Classification
E-Voting System using U-Net Architecture with Blockchain Technology
Multilayered Architecture to Monitor and Control the Energy Management in Smart Cities
Bio-inspired Firefly Algorithm for Polygonal Approximation on Various Shapes
An Efficient IoT Security Solution using Deep Learning Mechanisms.
Notes:
Includes bibliographical references and index.
Other Format:
Print version: Rao, B. Narendra Kumar Intelligent Computing and Applications
ISBN:
981-19-4162-9
OCLC:
1356579294

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