International Conference on Innovative Computing and Communications Proceedings of ICICC 2021, Volume 3 /

International Conference on Innovative Computing and Communications Proceedings of ICICC 2021, Volume 3 /

Bibliografiska uppgifter
Institutionell upphovsman: SpringerLink (Online service)
Övriga upphovsmän: Khanna, Ashish (Utgivare, redaktör, sammanställare), Gupta, Deepak (Utgivare, redaktör, sammanställare), Bhattacharyya, Siddhartha (Utgivare, redaktör, sammanställare), Hassanien, Aboul Ella (Utgivare, redaktör, sammanställare), Anand, Sameer (Utgivare, redaktör, sammanställare), Jaiswal, Ajay (Utgivare, redaktör, sammanställare)
Sammanfattning:XXXII, 893 p. 389 illus., 285 illus. in color.
text
Språk:engelska
Publicerad: Singapore : Springer Nature Singapore : Imprint: Springer, 2022.
Upplaga:1st ed. 2022.
Serie:Advances in Intelligent Systems and Computing, 1394
Ämnen:
Computational intelligence.
Artificial intelligence.
Telecommunication.
Computational Intelligence.
Artificial Intelligence.
Communications Engineering, Networks.
Länkar:https://doi.org/10.1007/978-981-16-3071-2
Materialtyp: Elektronisk Bok
Innehållsförteckning:
  • Chapter 1. Explanation Based Serendipitous Recommender System (EBSRS)
  • Chapter 2. Introduction of feature selection and leading-edge technologies viz. TENSORFLOW, PYTORCH and KERAS: An empirical study to improve prediction accuracy of cardiovascular disease
  • Chapter 3. Campus Placement Prediction System using Deep Neural Networks
  • Chapter 4. Intensity of Traffic Due to Road Accidents in USA: A Predictive Model
  • Chapter 5. Credit Card Fraud Detection using Blockchain and Simulated Annealing k-means Algorithm
  • Chapter 6. Improving Accuracy of Deep Learning Based Compression Techniques by Introducing Perceptual Loss in Industrial IoT
  • Chapter 7. Characterization and Prediction of Various Issue Types: A Case Study on the Apache Lucene System
  • Chapter 8. Heart Disease prediction using Machine Learning Techniques: A Quantitative Review
  • Chapter 9. Enhancing CNN with Pre-processing Stage in Illumination Invariant Automatic Expression Recognition
  • Chapter 10. An Expert Eye for Identifying Shoplifters in Mega Stores
  • Chapter 11. Sanskrit Stemmer Design : A Literature Perspective
  • Chapter 12. Predicting Prior Academic Failure of Students’ using Machine Learning Approach
  • Chapter 13. Deep Classifier for News Text Classification using Topic Modelling Approach
  • Chapter 14. Forecasting covid-19 cases using Deep CNN LSTM model
  • Chapter 15. Multi-resolution video steganography technique based on Stationary wavelet transform (SWT) and Singular value decomposition (SVD)
  • Chapter 16. A novel Dual Threshold Weighted Feature Detection for Spectrum Sensing in 5G systems
  • Chapter 17. A Systematic Review On Various Attack Detection Methods For Wireless Sensor Networks
  • Chapter 18. Electronic Beam Steering in Timed Antenna Array by Controlling the Harmonic Patterns with Optimally Derived Pulse-Shifted Switching Sequence
  • Chapter 19. Classification of attacks on MQTT based IoT system using Machine learning techniques
  • Chapter 20. Encrypted Traffic Classification using eXtreme Gradient Boosting algorithm
  • Chapter 21. Analyzing Natural Language Essay Generator Models using Long Short Term Memory Neural Networks
  • Chapter 22. Performance Evaluation of GINI Index and Information Gain Criteria on Geographical Data: An Empirical Study Based on JAVA and Python.

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