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Big data, IoT, and machine learning : tools and applications / / editors, Rashmi Agrawal, Marcin Paprzycki, Neha Gupta
Big data, IoT, and machine learning : tools and applications / / editors, Rashmi Agrawal, Marcin Paprzycki, Neha Gupta
Edizione [1st Edition.]
Pubbl/distr/stampa Boca Raton, FL : , : CRC Press, , 2021
Descrizione fisica 1 online resource (xvii, 319 pages) : illustrations (some colour)
Disciplina 005.7
Collana Internet of Everything (IoE): security and privacy paradigm
Soggetto topico Big data
Internet of things
Machine learning
ISBN 1-000-09828-1
0-429-32299-2
1-000-09830-3
Formato Materiale a stampa
Livello bibliografico Monografia
Lingua di pubblicazione eng
Nota di contenuto Section I: Applications of Machine Learning 1. Machine Learning Classifiers 2. Dimension Reduction Techniques 3. Reviews Analysis of Apple Store Applications Using Supervised Machine Learning 4. Machine Learning for Biomedical and Health Informatics 5. Meta-Heuristic Algorithms: A Concentration on the Applications in Text Mining 6. Optimizing Text Data in Deep Learning: An Experimental Approach Section II: Big Data, Cloud and Internet of Things 7. Latest Data and Analytics Technology Trends That Will Change Business Perspectives 8. A Proposal Based on Discrete Events for Improvement of the Transmission Channels in Cloud Environments and Big Data 9. Heterogeneous Data Fusion for Healthcare Monitoring: A Survey 10. Discriminative and Generative Model Learning for Video Object Tracking 11. Feature, Technology, Application, and Challenges of Internet of Things 12. Analytical Approach to Sustainable Smart City Using IoT and Machine Learning 13. Traffic Flow Prediction with Convolutional Neural Network Accelerated by Spark Distributed Cluster
Record Nr. UNINA-9910860823703321
Boca Raton, FL : , : CRC Press, , 2021
Materiale a stampa
Lo trovi qui: Univ. Federico II
Opac: Controlla la disponibilità qui
Smart IoT for Research and Industry
Smart IoT for Research and Industry
Autore Moh Melody
Pubbl/distr/stampa Cham : , : Springer International Publishing AG, , 2021
Descrizione fisica 1 online resource (219 pages)
Altri autori (Persone) SharmaKanta Prasad
AgrawalRashmi
Garcia DiazVicente
Collana EAI/Springer Innovations in Communication and Computing Ser.
Soggetto genere / forma Electronic books.
ISBN 3-030-71485-3
Formato Materiale a stampa
Livello bibliografico Monografia
Lingua di pubblicazione eng
Record Nr. UNINA-9910497109303321
Moh Melody  
Cham : , : Springer International Publishing AG, , 2021
Materiale a stampa
Lo trovi qui: Univ. Federico II
Opac: Controlla la disponibilità qui
Transforming cybersecurity solutions using blockchain / / Rashmi Agrawal ; Neha Gupta, Editors
Transforming cybersecurity solutions using blockchain / / Rashmi Agrawal ; Neha Gupta, Editors
Pubbl/distr/stampa Gateway East, Singapore : , : Springer, , [2021]
Descrizione fisica 1 online resource (234 pages)
Disciplina 005.8
Collana Blockchain Technologies
Soggetto topico Professional computing
Cyber-physical systems, IoT
ISBN 981-336-858-6
Formato Materiale a stampa
Livello bibliografico Monografia
Lingua di pubblicazione eng
Record Nr. UNINA-9910483891703321
Gateway East, Singapore : , : Springer, , [2021]
Materiale a stampa
Lo trovi qui: Univ. Federico II
Opac: Controlla la disponibilità qui