Muutke küpsiste eelistusi

E-raamat: Algorithms and Architectures for Parallel Processing: 23rd International Conference, ICA3PP 2023, Tianjin, China, October 20-22, 2023, Proceedings, Part I

Edited by , Edited by , Edited by
Teised raamatud teemal:
  • Formaat - EPUB+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.
Algorithms and Architectures for Parallel Processing: 23rd International Conference, ICA3PP 2023, Tianjin, China, October 20-22, 2023, Proceedings, Part ISuurem 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. 

The 7-volume set LNCS 14487-14493 constitutes the proceedings of the 23rd International Conference on Algorithms and Architectures for Parallel Processing, ICA3PP 2023, which took place in Tianjin, China, during October 2023.

The 145 full papers included in these proceedings were carefully reviewed and selected from 439 submissions. ICA3PP covers many dimensions of parallel algorithms and architectures; encompassing fundamental theoretical approaches; practical experimental projects; and commercial components and systems.


Short Video Account Influence Evaluation Model Based on Improved SF-UIR
Algorithm.- Deep Hash Learning of Feature-Invariant Representation for
Single-label and Multi-label Retrieval.- Generative Adversarial Network Based
Asymmetric Deep Cross-modal Unsupervised Hashing.- CFDM-IME A Collaborative
Fault Diagnosis Method For Intelligent Manufacturing Equipment.- DFECTS A
Deep Fuzzy Ensemble Clusterer for Time Series.- Energy-aware Smart Task
Scheduling in Edge Computing Networks with A3C.- BACTDS Blockchain-based
Fined-grained Access Control Scheme with Traceablity for IoT Data
Sharing.- DeepLat Achieving Minimum Worst Case Latency for DNN Inference with
Batch-Aware Dispatching.- Privacy-Preserving and Reliable Distributed
Federated Learning.- Joint Optimization of Request Scheduling and Container
Prewarming in Serverless Computing.- Multi-Stage Optimization of Incentive
Mechanisms for  Mobile Crowd Sensing based on Top-Trading Cycles.- A Chained
Forwarding Mechanism for Large Messages.- TDC Pool-level object cache
replacement algorithm based on temperature density.- Smart DAG Task
Scheduling based on MCTS Method of Multi-Strategy Learning.- CT-Mixer
Exploiting Multiscale Design for Local-global Representations
Learning.- FedQL Q-learning Guided Aggregation for Federated Learning.- An
Adaptive Instruction Set Encoding Automatic Generation Method for
VLIW.- FastDet Detecting Encrypted Malicious Traffic Faster via Early
Exit.- Real-EVE Real-time Edge-assist Video Enhancement for Joint Denoising
and Super-resolution.- Optimizing the Parallelism of Communication and
Computation in Distributed Training Platform.- FedSC Compatible Gradient
Compression for Communication-Efficient Federated Learning.- Joint Video
Transcoding and Representation Selection for Edge-Assisted Multi-Party Video
Conferencing.- Performance Comparison of Distributed DNN Training on
Opticalversus Electrical Interconnect Systems.- Dynamic Path Planning Based
on Traffic Flow Prediction and Traffic Light Status.- A Time Series Data
Compression Co-processor Based on RISC-V Custom Instructions.- MSIN An
Efficient Multi-head Self-Attention Framework for Inertial
Navigation.- AbsorbDeadlock Resolution for 2.5D Modular Chiplet Based
Systems.- A Multi-Server Authentication Scheme based on Fuzzy Extractor.
Lisainfo e-raamatute kohta Lisainfo e-raamatute kohta
Püsilink: https://www.kriso.ee/db/97898197083456e.html