Intelligent Computing and Communication Systems /

This book discusses a number of intelligent algorithms which are being developed and explored for the next-generation communication systems. These include algorithms enabled with artificial intelligence, machine learning, artificial neural networks, reinforcement learning, fuzzy logic, swarm intelli...

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Bibliographic Details
Corporate Author: SpringerLink (Online service)
Other Authors: Singh, Brahmjit (Editor), Coello Coello, Carlos A. (Editor), Jindal, Poonam (Editor), Verma, Pankaj (Editor)
Format: eBook
Language:English
Published: Singapore : Springer Singapore : Imprint: Springer, 2021.
Edition:1st ed. 2021.
Series:Algorithms for Intelligent Systems,
Subjects:
Online Access:Connect to the full text of this electronic book
Table of Contents:
  • Spectral Efficiency Analysis of Massive MIMO Systems
  • Traffic Violations Prediction System on the basis of Human Behavior
  • A Modified YOLO Model for On-road Vehicle Detection in Varying Weather Conditions
  • Different Techniques used in Smart Traffic Light Management System using CCTV
  • A Novel Rule-based Expert System For Penalty Prediction For Two Wheeler's Traffic Rules Violation in India
  • Hybrid Material Based Dual-band Yagi-Uda Antenna with enhanced gain for the Ku-band applications
  • Cheating Tolerant and Threshold based Secure Information Exchange among Propinquity of Adversaries
  • A Review of Security Threats in Software Defined Networking
  • Hardware based Analysis of PCG Signal for Heart Conditions
  • Wireless Lighting System for Rural Households in India
  • Sentiment analysis algorithms; Classifiers and their comparison
  • Email sentiment classification using lexicon based opinion labelling
  • Real Time Facial Emotion Recognition using Deep Learning
  • Waste Segregation to ease Recyclability
  • The Importance of Diversity in Multi-Objective Evolutionary Algorithms
  • An Analysis and Comparison of Community Detection Algorithms in Online Social Networks
  • Dynamic Reusability Measurement using Machine Learning Algorithms in Object Oriented Environment
  • An Improvised Particle Swarm Optimization using Balanced Local Best.