Muutke küpsiste eelistusi

E-raamat: Big Data: 11th CCF Conference, BigData 2023, Nanjing, China, September 8-10, 2023, Proceedings

Edited by , Edited by , Edited by , Edited by , Edited by , Edited by , Edited by , Edited by , Edited by
Teised raamatud teemal:
  • Formaat - PDF+DRM
  • Hind: 80,26 €*
  • * hind on lõplik, st. muud allahindlused enam ei rakendu
  • Lisa ostukorvi
  • Lisa soovinimekirja
  • See e-raamat on mõeldud ainult isiklikuks kasutamiseks. E-raamatuid ei saa tagastada.
Big Data: 11th CCF Conference, BigData 2023, Nanjing, China, September 8-10, 2023, ProceedingsSuurem pilt
Teised raamatud teemal:

DRM piirangud

  • Kopeerimine (copy/paste):

    ei ole lubatud

  • Printimine:

    ei ole lubatud

  • Kasutamine:

    Digitaalõiguste kaitse (DRM)
    Kirjastus on väljastanud selle e-raamatu krüpteeritud kujul, mis tähendab, et selle lugemiseks peate installeerima spetsiaalse tarkvara. Samuti peate looma endale  Adobe ID Rohkem infot siin. E-raamatut saab lugeda 1 kasutaja ning alla laadida kuni 6'de seadmesse (kõik autoriseeritud sama Adobe ID-ga).

    Vajalik tarkvara
    Mobiilsetes seadmetes (telefon või tahvelarvuti) lugemiseks peate installeerima selle tasuta rakenduse: PocketBook Reader (iOS / Android)

    PC või Mac seadmes lugemiseks peate installima Adobe Digital Editionsi (Seeon tasuta rakendus spetsiaalselt e-raamatute lugemiseks. Seda ei tohi segamini ajada Adober Reader'iga, mis tõenäoliselt on juba teie arvutisse installeeritud )

    Seda e-raamatut ei saa lugeda Amazon Kindle's. 

This book constitutes the refereed proceedings of the 11th CCF Conference on BigData 2023, which took place in Nanjing, China, in September 2023. 

The 14 full papers presented in this volume were carefully reviewed and selected from 69 submissions. The topics of accepted papers include theories and methods of data science, algorithms and applications of big data.
Long-term and Short-term Perception in Knowledge Tracing.- A Transfer Learning Enhanced Decomposition-Based Hybrid Framework for Forecasting Multiple Time-Series.- Dataset Search over Integrated Metadata from China's Public Data Open Platforms.- Integrating DCNNs with Genetic Algorithm for Diabetic Retinopathy Classification.- The Convolutional Neural Network Combing Feature-aligned and Attention Pyramid for Fine-Grained Visual Classification.- OCWYOLO:A Road Depression Detection Method.- Explicit Exploring Geometric Modality for Shape-enhanced Single-view 3D Face Reconstruction.- Fine edge and texture prior guided super resolution reconstruction network.- UD-GCN: Uncertainty-Based Semi-Supervised Deep GCN for Imbalanced Node Classification.- Twin Support Vector Regression with Privileged Information.- Detecting Social Robots Based on Multi-View Graph Transformer.- Scheduling Containerized Workflow in Multi-Cluster Kubernetes.- A Study of Electricity Theft Detection Method Based on Anomaly Transformer.- Application and Research on a Large Model Training Method Based on Instruction Fine-Tuning in Domain-Specific Tasks.
Lisainfo e-raamatute kohta Lisainfo e-raamatute kohta
Püsilink: https://www.kriso.ee/db/97898199897992e.html