UID:
almahu_9949773129902882
Umfang:
XIX, 479 p. 187 illus., 162 illus. in color.
,
online resource.
Ausgabe:
1st ed. 2024.
ISBN:
9789819718412
Serie:
Lecture Notes in Networks and Systems, 955
Inhalt:
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.
Anmerkung:
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.
In:
Springer Nature eBook
Weitere Ausg.:
Printed edition: ISBN 9789819718405
Weitere Ausg.:
Printed edition: ISBN 9789819718429
Sprache:
Englisch
DOI:
10.1007/978-981-97-1841-2
URL:
https://doi.org/10.1007/978-981-97-1841-2
URL:
Volltext
(URL des Erstveröffentlichers)
