Advances in Distributed Computing and Machine Learning

Advances in Distributed Computing and Machine Learning

Proceedings of ICADCML 2024, Volume 1

Tripathy, Asis Kumar; Sahoo, Jyoti Prakash; Nanda, Umakanta; Sarkar, Mahasweta; Li, Kuan-Ching

Springer Verlag, Singapore

06/2024

479

Mole

9789819718405

15 a 20 dias

Descrição não disponível.
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.
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Distributed Systems;Distributed Computing;Decentralized Computing;Machine Learning;Deep Learning;Cloud Computing;IoT;Blockchain;Edge Computing