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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 /

紀錄類型:	書目-電子資源 : Monograph/item
正題名/作者:	Cognitive informatics and soft computing/ edited by Pradeep Kumar Mallick ... [et al.].
其他題名:	proceeding of CISC 2019 /
其他題名:	CISC 2019
其他作者:	Mallick, Pradeep Kumar.
團體作者:	International Conference on Cognitive Informatics and Soft Computing
出版者:	Singapore :Springer Singapore : : 2020.,
面頁冊數:	xviii, 705 p. :ill., digital ;24 cm.
內容註:	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
標題:	Artificial intelligence - Congresses. -
電子資源:	https://doi.org/10.1007/978-981-15-1451-7
ISBN:	9789811514517

Cognitive informatics and soft computing = proceeding of CISC 2019 /
Cognitive informatics and soft computingproceeding of CISC 2019 /[electronic resource] :CISC 2019edited by Pradeep Kumar Mallick ... [et al.]. - Singapore :Springer Singapore :2020. - xviii, 705 p. :ill., digital ;24 cm. - Advances in intelligent systems and computing,v.10402194-5357 ;. - Advances in intelligent systems and computing ;v.1040..

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.

The book presents new approaches and methods for solving real-world problems. It highlights, in particular, innovative research in the fields of Cognitive Informatics, Cognitive Computing, Computational Intelligence, Advanced Computing, and Hybrid Intelligent Models and Applications. New algorithms and methods in a variety of fields are presented, together with solution-based approaches. The topics addressed include various theoretical aspects and applications of Computer Science, Artificial Intelligence, Cybernetics, Automation Control Theory, and Software Engineering.

ISBN: 9789811514517

Standard No.: 10.1007/978-981-15-1451-7doiSubjects--Topical Terms:

606815
Artificial intelligence
--Congresses.

LC Class. No.: Q334

Dewey Class. No.: 006.3

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505 0 $a 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.
520 $a The book presents new approaches and methods for solving real-world problems. It highlights, in particular, innovative research in the fields of Cognitive Informatics, Cognitive Computing, Computational Intelligence, Advanced Computing, and Hybrid Intelligent Models and Applications. New algorithms and methods in a variety of fields are presented, together with solution-based approaches. The topics addressed include various theoretical aspects and applications of Computer Science, Artificial Intelligence, Cybernetics, Automation Control Theory, and Software Engineering.
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