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Advances in distributed computing and machine learning = proceedings of ICADCML 2024.. Volume 1 /

Record Type:	Electronic resources : Monograph/item
Title/Author:	Advances in distributed computing and machine learning/ edited by Umakanta Nanda ... [et al.].
Reminder of title:	proceedings of ICADCML 2024.
remainder title:	ICADCML 2024
other author:	Nanda, Umakanta.
corporate name:	International Conference on Advances in Distributed Computing and Machine Learning
Published:	Singapore :Springer Nature Singapore : : 2024.,
Description:	xix, 479 p. :ill., digital ;24 cm.
[NT 15003449]:	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.
Contained By:	Springer Nature eBook
Subject:	Electronic data processing - Congresses. - Distributed processing -
Online resource:	https://doi.org/10.1007/978-981-97-1841-2
ISBN:	9789819718412

Advances in distributed computing and machine learning = proceedings of ICADCML 2024.. Volume 1 /
Advances in distributed computing and machine learningproceedings of ICADCML 2024.Volume 1 /[electronic resource] :ICADCML 2024edited by Umakanta Nanda ... [et al.]. - Singapore :Springer Nature Singapore :2024. - xix, 479 p. :ill., digital ;24 cm. - Lecture notes in networks and systems,v. 9552367-3389 ;. - Lecture notes in networks and systems ;v. 955..

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.

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.

ISBN: 9789819718412

Standard No.: 10.1007/978-981-97-1841-2doiSubjects--Topical Terms:

622708
Electronic data processing
--Distributed processing--Congresses.

LC Class. No.: QA76.9.D5

Dewey Class. No.: 004.6

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