Cognitive informatics and soft compu...
International Conference on Cognitive Informatics and Soft Computing ((2019 :)

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  • Cognitive informatics and soft computing = proceeding of CISC 2019 /
  • Record Type: Electronic resources : Monograph/item
    Title/Author: Cognitive informatics and soft computing/ edited by Pradeep Kumar Mallick ... [et al.].
    Reminder of title: proceeding of CISC 2019 /
    remainder title: CISC 2019
    other author: Mallick, Pradeep Kumar.
    corporate name: International Conference on Cognitive Informatics and Soft Computing
    Published: Singapore :Springer Singapore : : 2020.,
    Description: xviii, 705 p. :ill., digital ;24 cm.
    [NT 15003449]: Chapter 1. Design of Power Efficient and High-Performance Architecture to Spectrum Sensing Applications Using Cyclostationary Feature Detection -- Chapter 2. Detection of Epileptic Seizure based on Relief Algorithm and Multi Support Vector Machine -- Chapter 3. Block Chain Based Shared Security Architecture -- Chapter 4. Assessment of Table Pruning and Semantic Interpretation for Sentiment Analysis using BRAE Algorithm -- Chapter 5. Feature Extraction and Classification between control and Parkinson's using EMG signal -- Chapter 6. Utilization of Data Analytics Based Approaches for Hassle Free Prediction Parkinson Disease -- Chapter 7. A System for the Study of Emotions with EEG Signals using Machine Learning and Deep Learning -- Chapter 8. Treble band RF energy harvesting system for powering smart textiles -- Chapter 9. Performance analysis of data communication using hybrid NoC for Low Latency and high throughput on FPGA -- Chapter 10. Detection and Prediction of Schizophrenia using Magnetic Resonance Images and Deep Learning -- Chapter 11. Intrusion Detection Systems (IDS) - An Overview with a Generalized Framework -- Chapter 12. Hybrid machine learning model for context aware Social IoT using location based service under both static and mobility conditions -- Chapter 13. An Efficient Fuzzy Logic Control Based Soft Computing Technique for Grid Tied Photovoltaic System -- Chapter 14. Prediction of Academic Performance of Alcoholic Students using Data Mining Techniques -- Chapter 15. Big Data Analysis and Classification of Bio-medical Signal using Random Forest Algorithm.
    Contained By: Springer eBooks
    Subject: Artificial intelligence - Congresses. -
    Online resource: https://doi.org/10.1007/978-981-15-1451-7
    ISBN: 9789811514517
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