Inventive Communication and Computational Technologies : Proceedings of ICICCT 2021 (Lecture Notes in Networks and Systems)

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Inventive Communication and Computational Technologies : Proceedings of ICICCT 2021 (Lecture Notes in Networks and Systems)

  • オンデマンド(OD/POD)版です。キャンセルは承れません。
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  • 製本 Paperback:紙装版/ペーパーバック版/ページ数 1024 p.
  • 言語 ENG
  • 商品コード 9789811655289
  • DDC分類 004.6

Full Description

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.

 

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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