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Inventive Communication and Computational Technologies Proceedings of ICICCT 2021

Title
Inventive Communication and Computational Technologies [electronic resource] : Proceedings of ICICCT 2021 / edited by G. Ranganathan, Xavier Fernando, Fuqian Shi.
ISBN
9789811655296
Edition
1st ed. 2022.
Publication
Singapore : Springer Singapore : Imprint: Springer, 2022.
Physical Description
1 online resource (XXXII, 1024 p.) 555 illus., 444 illus. in color.
Local Notes
Access is available to the Yale community.
Access and use
Access restricted by licensing agreement.
Summary
This book gathers selected papers presented at the Inventive Communication and Computational Technologies conference (ICICCT 2021), held on 25-26 June 2021 at Gnanamani College of Technology, Tamil Nadu, India. The book covers the topics such as Internet of things, social networks, mobile communications, big data analytics, bio-inspired computing, and cloud computing. The book is exclusively intended for academics and practitioners working to resolve practical issues in this area. .
Variant and related titles
Springer ENIN.
Other formats
Printed edition:
Printed edition:
Format
Books / Online
Language
English
Added to Catalog
January 27, 2022
Series
Lecture Notes in Networks and Systems, 311
Lecture Notes in Networks and Systems, 311
Contents
Chapter 1. Dimensionality Reduction based Component Dicriminant Factor Implication for Mushroom Edibility Classification using Machine Learning
Chapter 2. Flip-Flop based Approach for Logic Encryption Technique
Chapter 3. Analysis and Implementation of Less Delay and Low Area DT Multiplier
Chapter 4. An exploration on Feature Extraction and Classification Techniques for Dysphonic Speech Disorder in Parkinson's Disease
Chapter 5. Intelligent Recommender System based on Deep Learning for Recognition of COVID-19 from Lungs Radiograms
Chapter 6. Generation of Structured Query Language from Natural Language using Recurrent Neural Networks
Chapter 7. Machine Learning and Deep Learning Approaches for Intrusion Detection: A Comparative Study
Chapter 8. Improving Text Classifiers through Controlled Text Generation using Transformer Wasserstein Autoencoder
Chapter 9. Topological analysis of Cube based and Linearly Extensible Networks using MATLAB
Chapter 10. Implementation of Rule based Testing for Dgital Circuits using Inductive Logic Programming
Chapter 11. Design of a High Speed Binary Counter using a Stacking Circuit
Chapter 12. Feature Level Fusion of Multimodal Biometric for Individual Identification by Training a Deep Neural Network
Chapter 13. Design of Multistage Counters using Linear Feedback Shift Register
Chapter 14. Machine Learning based and Reconfigurable Architecture with a Countermeasure for Side Channel Attacks
Chapter 15. Autonomous Scheduling and Distributed Graph Routing Algorithm (ASDGRA) for Hybrid Wireless Sensor Networks. .
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