Open Daily: 10am - 10pm | Alley door pickup 10am - 7pm 3038 Hennepin Ave Minneapolis, MN
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  • Open Daily: 10am - 10pm
    Alley-side Pickup: 10am - 7pm

    3038 Hennepin Ave Minneapolis, MN
    612-822-4611

Open Daily: 10am - 10pm | Alley-side Pickup: 10am - 7pm
3038 Hennepin Ave Minneapolis, MN
612-822-4611
Inventive Communication and Computational Technologies: Proceedings of Icicct 2021

Inventive Communication and Computational Technologies: Proceedings of Icicct 2021

Ranganathan, G.
Fernando, Xavier
Shi, Fuqian

Paperback

Series: Lecture Notes in Networks and Systems, Book 311

Technology & EngineeringGeneral Computers

ISBN10: 9811655286
ISBN13: 9789811655289
Publisher: Springer Nature
Published: Jan 12 2022
Pages: 1024
Weight: 3.19
Height: 2.08 Width: 6.14 Depth: 9.21
Language: English
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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