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| Autore: |
Nanda Umakanta
|
| Titolo: |
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
|
| Pubblicazione: | Singapore : , : Springer Nature Singapore : , : Imprint : Springer, , 2024 |
| Edizione: | 1st ed. 2024. |
| Descrizione fisica: | 1 online resource (483 pages) |
| Disciplina: | 006.3 |
| Soggetto topico: | Computational intelligence |
| Artificial intelligence | |
| Machine learning | |
| Blockchains (Databases) | |
| Internet of things | |
| Computational Intelligence | |
| Artificial Intelligence | |
| Machine Learning | |
| Blockchain | |
| Internet of Things | |
| Altri autori: |
TripathyAsis Kumar
SahooJyoti Prakash
SarkarMahasweta
LiKuan-Ching
|
| Nota di contenuto: | 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. |
| Sommario/riassunto: | 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. |
| Titolo autorizzato: | Advances in Distributed Computing and Machine Learning ![]() |
| ISBN: | 9789819718412 |
| 9789819718405 | |
| Formato: | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione: | Inglese |
| Record Nr.: | 9910865241203321 |
| Lo trovi qui: | Univ. Federico II |
| Opac: | Controlla la disponibilità qui |