Vai al contenuto principale della pagina

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



(Visualizza in formato marc)    (Visualizza in BIBFRAME)

Autore: Nanda Umakanta Visualizza persona
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 Visualizza cluster
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  Visualizza cluster
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
Serie: Lecture Notes in Networks and Systems, . 2367-3389 ; ; 955