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Big Data – BigData 2024 : 13th International Conference, Held as Part of the Services Conference Federation, SCF 2024, Bangkok, Thailand, November 16-19, 2024, Proceedings / / edited by Yong Zhang, Ting Cai, Liang-Jie Zhang
Big Data – BigData 2024 : 13th International Conference, Held as Part of the Services Conference Federation, SCF 2024, Bangkok, Thailand, November 16-19, 2024, Proceedings / / edited by Yong Zhang, Ting Cai, Liang-Jie Zhang
Autore Zhang Yong
Edizione [1st ed. 2025.]
Pubbl/distr/stampa Cham : , : Springer Nature Switzerland : , : Imprint : Springer, , 2025
Descrizione fisica 1 online resource (145 pages)
Disciplina 005.7
Altri autori (Persone) CaiTing
ZhangLiang-Jie
Collana Lecture Notes in Computer Science
Soggetto topico Big data
Computer engineering
Computer networks
Artificial intelligence
Big Data
Computer Engineering and Networks
Artificial Intelligence
ISBN 9783031770883
3031770889
Formato Materiale a stampa
Livello bibliografico Monografia
Lingua di pubblicazione eng
Nota di contenuto -- Research Track. -- How Effective are Time Series Models for Pandemic Forecasting?. -- Research on Public Data Assets Valuation Combined With Expert Scoring Method. -- Cross-Chain Analysis of Blockchain-Based Pharmaceutical Supply Chain Management Using NFTs. -- A study of the impact of networked low-altitude drone operations on the performance of big data services. -- Anti-Third-Party Infringement Based on the Perspective of Data Resource Holding Rights. -- Application Track. -- Defect Detection Network for TOPCon Solar Cells Based on Improved YOLOv5 and CBAM Mechanism. -- 5 Steps for Enterprise Artificial Intelligence Governance and Compliance. -- Enhancing Transparency and Efficiency in Energy Trading Management Systems for Electric Vehicles: The Role of Blockchain, IPFS, and NFTs. -- Short Paper Track. -- A Model of Big Data Analytics Applied to Teacher Evaluation Based on Enhanced Data Quality.
Record Nr. UNINA-9910983317603321
Zhang Yong  
Cham : , : Springer Nature Switzerland : , : Imprint : Springer, , 2025
Materiale a stampa
Lo trovi qui: Univ. Federico II
Opac: Controlla la disponibilità qui
Big Data – BigData 2024 : 13th International Conference, Held as Part of the Services Conference Federation, SCF 2024, Bangkok, Thailand, November 16-19, 2024, Proceedings / / edited by Yong Zhang, Ting Cai, Liang-Jie Zhang
Big Data – BigData 2024 : 13th International Conference, Held as Part of the Services Conference Federation, SCF 2024, Bangkok, Thailand, November 16-19, 2024, Proceedings / / edited by Yong Zhang, Ting Cai, Liang-Jie Zhang
Autore Zhang Yong
Edizione [1st ed. 2025.]
Pubbl/distr/stampa Cham : , : Springer Nature Switzerland : , : Imprint : Springer, , 2025
Descrizione fisica 1 online resource (145 pages)
Disciplina 005.7
Altri autori (Persone) CaiTing
ZhangLiang-Jie
Collana Lecture Notes in Computer Science
Soggetto topico Big data
Computer engineering
Computer networks
Artificial intelligence
Big Data
Computer Engineering and Networks
Artificial Intelligence
ISBN 9783031770883
3031770889
Formato Materiale a stampa
Livello bibliografico Monografia
Lingua di pubblicazione eng
Nota di contenuto -- Research Track. -- How Effective are Time Series Models for Pandemic Forecasting?. -- Research on Public Data Assets Valuation Combined With Expert Scoring Method. -- Cross-Chain Analysis of Blockchain-Based Pharmaceutical Supply Chain Management Using NFTs. -- A study of the impact of networked low-altitude drone operations on the performance of big data services. -- Anti-Third-Party Infringement Based on the Perspective of Data Resource Holding Rights. -- Application Track. -- Defect Detection Network for TOPCon Solar Cells Based on Improved YOLOv5 and CBAM Mechanism. -- 5 Steps for Enterprise Artificial Intelligence Governance and Compliance. -- Enhancing Transparency and Efficiency in Energy Trading Management Systems for Electric Vehicles: The Role of Blockchain, IPFS, and NFTs. -- Short Paper Track. -- A Model of Big Data Analytics Applied to Teacher Evaluation Based on Enhanced Data Quality.
Record Nr. UNISA-996630863503316
Zhang Yong  
Cham : , : Springer Nature Switzerland : , : Imprint : Springer, , 2025
Materiale a stampa
Lo trovi qui: Univ. di Salerno
Opac: Controlla la disponibilità qui