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

Colaborador(es): Nanda, Umakanta [editor.] | Tripathy, Asis Kumar [editor.] | Sahoo, Jyoti Prakash [editor.] | Sarkar, Mahasweta [editor.] | Li, Kuan-Ching [editor.] | SpringerLink (Online service)Tipo de material: TextoTextoSeries Lecture Notes in Networks and Systems ; 955Editor: Singapore : Springer Nature Singapore : Imprint: Springer, 2024Edición: 1st ed. 2024Descripción: XIX, 479 p. 187 illus., 162 illus. in color. online resourceTipo de contenido: text Tipo de medio: computer Tipo de portador: online resourceISBN: 9789819718412Tema(s): Computational intelligence | Artificial intelligence | Machine learning | Blockchains (Databases) | Internet of things | Computational Intelligence | Artificial Intelligence | Machine Learning | Blockchain | Internet of ThingsFormatos físicos adicionales: Printed edition:: Sin título; Printed edition:: Sin títuloClasificación CDD: 006.3 Clasificación LoC:Q342Recursos en línea: Libro electrónicoTexto
Contenidos:
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.
En: Springer Nature eBookResumen: 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.
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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.

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