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 /

Opis bibliograficzny
Korporacja: SpringerLink (Online service)
Kolejni autorzy: Khanna, Ashish (Redaktor), Gupta, Deepak (Redaktor), Bhattacharyya, Siddhartha (Redaktor), Hassanien, Aboul Ella (Redaktor), Anand, Sameer (Redaktor), Jaiswal, Ajay (Redaktor)
Streszczenie:XXXII, 893 p. 389 illus., 285 illus. in color.
text
Język:angielski
Wydane: Singapore : Springer Nature Singapore : Imprint: Springer, 2022.
Wydanie:1st ed. 2022.
Seria:Advances in Intelligent Systems and Computing, 1394
Hasła przedmiotowe:
Computational intelligence.
Artificial intelligence.
Telecommunication.
Computational Intelligence.
Artificial Intelligence.
Communications Engineering, Networks.
Dostęp online:https://doi.org/10.1007/978-981-16-3071-2
Format: Elektroniczne Książka
Spis treści:
  • 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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