Proceedings of the International Conference on Machine Learning, Deep Learning and Computational Intelligence for Wireless Communication MDCWC 2023

This book is a collection of best selected research papers presented at the 2nd Conference on Machine Learning, Deep Learning and Computational Intelligence for Wireless Communication (MDCWC 2023) held during June 22-24th, 2023, at the National Institute of Technology Tiruchirappalli, India. The pre...

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Bibliographic Details
Other Authors: Gopi, E. S. (Editor), Maheswaran, P. (Editor)
Format: eBook
Language:English
Published: Cham Springer Nature Switzerland 2024, 2024
Edition:1st ed. 2024
Series:Signals and Communication Technology
Subjects:
Online Access:
Collection: Springer eBooks 2005- - Collection details see MPG.ReNa
Table of Contents:
  • Chapter 10.Examining Ant Colony Algorithm with The Cat Swarm Algorithm to Improve Energy Efficiency
  • Chapter 11. Machine Learning based Online Visual Tracking with Multi-featured Adaptive Kernal Correlation filter
  • Part 2: Wireless Communication
  • Chapter 12. Integrating long-short term memory and particle swarm optimization for intrusion detection in 5G technologies
  • Chapter 13. Performance Analysis of Polar Decoding Using Linear Code Mapping with Feedback Based Ann Architecture
  • Chapter 14. Packet Classification Using Improved Random Forest Algorithm
  • Chapter 15. A Machine Learning Perspective of optimal data transmission in Wireless Sensor Networks (WSN)
  • Chapter 16. Blockchain and IPFS based solution for KYC
  • Chapter 17. Analysis and Comparison of BER Performance of OFDM-IM under various fading channels using Conventional Detectors
  • Chapter 18. A Survey of Non-Orthogonal Multiple Access for Internet of Things and Future Wireless Networks
  • Chapter 19. Improved 3D Wireless Indoor Localization with Deep Learning Algorithms
  • Chapter 20. Implementing Machine Learning for design and evaluation of Antenna Parameters
  • Chapter 21. A MIMO dual mode homogenous OFDM IM system for next-generation communications
  • Chapter 22. Probability Boosted Regression for Intrusion Detection in Cyber active Space
  • Part 3: Mobile data application
  • Chapter 23. Surface Water-body Extraction for Landsat-8 (OLI) Imagery using Water-Indices Methods and SCM Techniques
  • Chapter 24. Automated Age-related Macular Degeneration Diagnosis in Retinal Fundus Images via ViT
  • Chapter 25. Traffic Light Simulation Using ALP
  • Chapter 26. DNN-ILD: A Transfer Learning-based Deep Neural Network for Automated Classification of Interstitial Lung Disease from CT Images
  • Chapter 27. Image Manipulation Detection using Augmentation and Convolutional Neural Networks
  • Chapter 28. Smart Women Safety Solution with Alert System Using Machine Learning Approach
  • Chapter 29. Cyberbullying Detection Using BILSTM Model
  • Chapter 30. Smart Agriculture using Internet of Things
  • Chapter 31. Breast Cancer Detection from Mammograms using Deep Learning and Bio-Inspired Optimization Algorithm
  • Chapter 32. Detection of Echinoderms Underwater using Deep Learning Network
  • Chapter 33. Malaria Parasite Detection Using Deep Learning
  • Chapter 34. FiltDeepNet: Architecture for Covid Detection based on Chest X-ray Images
  • Chapter 35. Novel approaches to Automatic License Plate Reading (ALPR)
  • Chapter 36. Crop Prediction Expert System with Ensemble Machine Learning Technique
  • Chapter 37. A Comparative Analysis of Single Image-Based Face Morphing Attack Detection
  • Chapter 38. Classifiers For Sentiment Analysis of Youtube Comments - A Comparative Study
  • Chapter 39. Traffic Monitoring System Detecting Overspeed and Accidents from Video Input using OpenCV and Digital Image Processing
  • Chapter 40. An experimental comparative analysis of human abnormal action identification on “SAIAZ” video dataset using SVM, ResNet50, and LSTM model
  • Chapter 41. Comparative study on malicious URL using classifiers and boosting algorithms
  • Chapter 42. Automation in Natural Rubber Latex Harvesting Field: A Review
  • Chapter 43. Feature Selection based Machine Learning Model for Malware Detection
  • Chapter 44. Application of Machine learning algorithm for prediction of Diabetes and Heart diseases
  • Chapter 45. Damage Detection on Historical Structure using Image Processing
  • Chapter 46. Eye Disease Classification Using VGG-19 Architecture
  • Chapter 47. Automatic Photo Enhancer Using Machine Learning and Deep Learning with Python
  • Chapter 48. Robust Touch Free Palm Vein Sensor Authentication System
  • Chapter 49. An Effective Machine Learning-based Malware Detection Approach
  • Chapter 50. Exploring The Performance of Various Classification Algorithms for Masked Face Recognition Using Cnn Based Features
  • Chapter 51. Chess Game using Assembly Language Programming
  • Chapter 52. Deep Artificial neural Network for Software Effort Estimation
  • Chapter 53. ‘Legal Owl’, An Application for Machine Generated Legal Aid Using NLP.
  • Part 1: Machine Learning, Deep Learning and Computational Intelligence
  • Chapter 1. A novel hierarchical clustering technique to analyse style and content factorization during image recognition
  • Chapter 2. Exploring Model-Level Transfer Learning to Improve the Recognition of Sinhala Speech
  • Chapter 3. Metaheuristics Feature Selection Algorithms for Identification and Classification of Mango Pests Diseases
  • Chapter 4. An Integrated Optimization Technique with SVM for Feature Selection
  • Chapter 5. A Constant Binomial Coefficient Difference Equation Based FIR Predictor System for Signal Processing Data mining
  • Chapter 6. Generating Synthetic Text Data for Improving Class Balance in Personality Prediction
  • Chapter 7. CPSNet: Channel Pixel Spatial Feature Fusion Network for Image Dehazing
  • Chapter 8. ATCBBC: A novel optimizer for neural network Architectures
  • Chapter 9. Application of Dempster-Shafer Theory in Sensor Data Fusion