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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.
Springer eBooks EBA - Intelligent Technologies and Robotics Collection 2024 Available online
View online- Format:
- Book
- Author/Creator:
- Nanda, Umakanta.
- Series:
- Lecture Notes in Networks and Systems, 2367-3389 ; 955
- Language:
- English
- Subjects (All):
- Computational intelligence.
- Artificial intelligence.
- Machine learning.
- Blockchains (Databases).
- Internet of things.
- Computational Intelligence.
- Artificial Intelligence.
- Machine Learning.
- Blockchain.
- Internet of Things.
- Local Subjects:
- Computational Intelligence.
- Artificial Intelligence.
- Machine Learning.
- Blockchain.
- Internet of Things.
- Physical Description:
- 1 online resource (483 pages)
- Edition:
- 1st ed. 2024.
- Place of Publication:
- Singapore : Springer Nature Singapore : Imprint: Springer, 2024.
- Summary:
- 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, India, during January 5–6, 2024. This book presents recent innovations in the field of scalable distributed systems in addition to cutting-edge research in the field of Internet of Things (IoT) and blockchain in distributed environments.
- 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.
- Notes:
- Description based on publisher supplied metadata and other sources.
- Other Format:
- Print version: Nanda, Umakanta Advances in Distributed Computing and Machine Learning
- ISBN:
- 9789819718412
- OCLC:
- 1440124026
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