Advances in Distributed Computing and Machine Learning Proceedings of ICADCML 2024, Volume 1 / edited by Umakanta Nanda, Asis Kumar Tripathy, Jyoti Prakash Sahoo, Mahasweta Sarkar, Kuan-Ching Li.

Advances in Distributed Computing and Machine Learning Proceedings of ICADCML 2024, Volume 1 /

This book is a collection of peer-reviewed best selected research papers presented at the Fifth International Conference on Advances in Distributed Computing and Machine Learning (ICADCML 2024), organized by the School of Electronics and Engineering, VIT - AP University, Amaravati, Andhra Pradesh, I...

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Bibliographic Details
Corporate Author: SpringerLink (Online service)
Other Authors: Nanda, Umakanta (Editor), Tripathy, Asis Kumar (Editor), Sahoo, Jyoti Prakash (Editor), Sarkar, Mahasweta (Editor), Li, Kuan-Ching (Editor)
Format: Electronic eBook
Language:English
Published: Singapore : Springer Nature Singapore : Imprint: Springer, 2024.
Edition:1st ed. 2024.
Series:Lecture Notes in Networks and Systems, 955
Subjects:
Computational intelligence.
Artificial intelligence.
Machine learning.
Blockchains (Databases).
Internet of things.
Online Access: Full text (Wentworth users only)
Table of Contents:
  • Chapter 1: Comparative Analysis of Deep Learning Based Hybrid Algorithms for Liver Disease Prediction
  • Chapter 2: A Novel Approach to Breast Cancer Histopathological Image Classification Using Cross-Colour Space Feature Fusion and Quantum-Classical Stack Ensemble Method
  • Chapter 3: Face Recognition Using CNN for Monitoring and Surveillance of Neurological Disorder Patients
  • Chapter 4: A Review on Satellite Image Segmentation using Metaheuristic Optimization Techniques
  • Chapter 5: A framework for enabling artificial intelligence inference for the hardware acceleration of IVIS imaging system
  • Chapter 6: Cloud-based Anomaly Detection for Broken Rail Track using LSTM Autoencoders and Cross-modal Audio Analysis
  • Chapter 7: A Study on the Mental Health among Indian Population in the Post COVID-19 Pandemic using Computational Intelligence
  • Chapter 8: Optimized VM Migration for Energy and Cost Reduction Using TSO Algorithm in Cloud Computing
  • Chapter 9: Towards Finger Photoplethysmogram Based Non-Invasive Classification of Diabetic versus Normal
  • Chapter 10: Evaluation of Weather Forecasting Models and Handling Anomalies in Short-Term Wind Speed Data. etc.

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