Cognitive Informatics and Soft Computing

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 MagneticResonance 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.<p></p>

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