Communication and intelligent systems : proceedings of ICCIS 2020

Communication and intelligent systems : proceedings of ICCIS 2020 / Harish Sharma, Mukesh Kumar Gupta, G.S. Tomar, Wang Lipo, editors.

This book gathers selected research papers presented at the International Conference on Communication and Intelligent Systems (ICCIS 2020), organized jointly by Birla Institute of Applied Sciences, Uttarakhand, and Soft Computing Research Society during 26-27 December 2020. This book presents a coll...

Full description

Saved in:
Bibliographic Details
Corporate Author: International Conference on Communication and Intelligent Systems Online
Other Authors: Sharma, Harish (Editor), Gupta, Mukesh Kumar (Editor), Tomar, Geetam (Editor), Lipo, Wang (Editor)
Format: Conference Proceeding Electronic eBook
Language:English
Published: Singapore : Springer, 2021.
Series:Lecture notes in networks and systems ; v. 204.
Subjects:
Artificial intelligence > Congresses.
Machine learning > Congresses.
Telecommunication systems > Congresses.
Artificial intelligence
Machine learning
Telecommunication systems
proceedings (reports)
Conference papers and proceedings
Conference papers and proceedings.
Actes de congrès.
Online Access:Click for online access
Table of Contents:
  • Intro
  • Preface
  • Contents
  • Editors and Contributors
  • Neural Network Imitation Model of Realization of the Business Analysis Process
  • 1 Introduction
  • 2 Analysis of Recent Research and Publications
  • 3 Setting the Objective
  • 4 The Case Study
  • 5 Research Method
  • 6 Conclusions
  • References
  • Thermal Modeling of the GaN HEMT Device Using Decision Tree Machine Learning Technique
  • 1 Introduction
  • 2 Experimental Setup
  • 3 Device Modeling Using Machine Learning
  • 4 Results
  • 5 Conclusion
  • References
  • Low-Cost FPGA-Based On-board Computer
  • 1 Introduction
  • 2 Related Work
  • 3 Proposed Work
  • 4 Results and Simulations
  • 5 Conclusion
  • References
  • A Survey on Solution of Imbalanced Data Classification Problem Using SMOTE and Extreme Learning Machine
  • 1 Introduction
  • 2 Imbalanced Data
  • 2.1 Approaches to Overcome Class Imbalance
  • 2.2 Advantages and Disadvantages of the Approaches
  • 3 Synthetic Minority Over-sampling Technique
  • 4 Extreme Learning Machine (ELM)
  • 4.1 Variants of ELM
  • 5 Machine Learning
  • 5.1 ML Techniques
  • 6 Convolutional Neural Network (CNN)
  • 7 Related Work
  • 8 Conclusion
  • References
  • Thermal Imaging-Assisted Infection Classification (BoF) for Brinjal Crop
  • 1 Introduction
  • 2 Motivation
  • 3 Material and Methods
  • 3.1 Experimental Setup
  • 3.2 Proposed Methodology
  • 3.3 Classification: BoF
  • 4 Result and Discussion
  • 5 Conclusion
  • References
  • Preterm Delivery Prediction Using Gradient Boosting Algorithms
  • 1 Introduction
  • 2 Related Work
  • 3 Backgrounds
  • 4 Result and Discussion
  • 5 Conclusions
  • References
  • Analysis Urban Traffic Vehicle Routing Based on Dijkstra Algorithm Optimization
  • 1 Introduction
  • 2 Related Work
  • 2.1 Dijkstra Algorithm
  • 2.2 Algorithm Optimization
  • 3 Model Construction
  • 4 Results and Discussion
  • 5 Conclusion
  • References
  • A Comprehensive Overview of Quality Enhancement Approach-Based Biometric Fusion System Using Artificial Intelligence Techniques
  • 1 Introduction
  • 2 Background Survey
  • 3 Biometric Quality Enhancement
  • 4 Analysis of Existing Work
  • 5 Conclusion and Future Work
  • References
  • Rainfall Prediction Using Deep Neural Network
  • 1 Introduction
  • 2 Methodology
  • 3 Data and Data Pre-processing
  • 3.1 Data Set
  • 3.2 Data Pre-processing
  • 3.3 Data Insight
  • 3.4 Train-Test Split
  • 3.5 Feature Scaling
  • 4 Deep Neural Network Model
  • 5 Result and Conclusion
  • 5.1 Weights and Bias
  • 5.2 Training and Validation: Loss and Accuracy
  • 5.3 Test Loss and Test Accuracy
  • 5.4 Comparative Analysis
  • 6 Conclusion
  • References
  • A Comparative Analysis of Supervised Word Sense Disambiguation in Information Retrieval
  • 1 Introduction
  • 2 WSD Approaches
  • 3 Supervised WSD for IR
  • 3.1 Naïve Bayes Algorithm
  • 3.2 Support Vector Machine (SVM) Algorithm
  • 3.3 Decision Tree Algorithm
  • 3.4 K-Nearest Neighbor (KNN) Algorithm
  • 4 Comparison of Algorithms
  • 5 Discussion

Similar Items