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  • Produktbild: Parallel and Distributed Computing, Applications and Technologies
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Parallel and Distributed Computing, Applications and Technologies 25th International Conference, PDCAT 2024, Hong Kong, China, December 13–15, 2024, Proceedings

Aus der Reihe Lecture Notes in Computer Science

87,99 €

inkl. gesetzl. MwSt., Versandkostenfrei

Beschreibung

Produktdetails

Einband

Taschenbuch

Erscheinungsdatum

01.04.2025

Abbildungen

XVI, 629 p. 193 illus., 172 illus. in color.

Herausgeber

Yupeng Li + weitere

Verlag

Springer Singapore

Seitenzahl

629

Maße (L/B/H)

23,5/15,5/3,5 cm

Gewicht

966 g

Auflage

1. Auflage

Sprache

Englisch

ISBN

978-981-9642-06-9

Beschreibung

Produktdetails

Einband

Taschenbuch

Erscheinungsdatum

01.04.2025

Abbildungen

XVI, 629 p. 193 illus., 172 illus. in color.

Herausgeber

Verlag

Springer Singapore

Seitenzahl

629

Maße (L/B/H)

23,5/15,5/3,5 cm

Gewicht

966 g

Auflage

1. Auflage

Sprache

Englisch

ISBN

978-981-9642-06-9

Herstelleradresse

Springer-Verlag GmbH
Tiergartenstr. 17
69121 Heidelberg
DE

Email: ProductSafety@springernature.com

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  • Produktbild: Parallel and Distributed Computing, Applications and Technologies
  • Produktbild: Parallel and Distributed Computing, Applications and Technologies

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    .- 25th International Conference on Parallel and Distributed Computing, Applications and Technologies.



    .- Decentralized Federated Learning with Knowledge Distillation for Image Classification and Demand Forecasting in Industrial Chains.



    .- Integrating Blockchain into Insurance Claim Management: Applications of NFTs, Smart Contracts and IPFS.



    .- A Meta-Reinforcement Learning Framework for Adaptive Quadrotor UAV Attitude Control.



    .- Securing Energy Transactions for Electric Vehicles: The Blockchain Approach and Encrypted NFTs.



    .- Optimizing Task Allocation in Heterogeneous Agent Manufacturing Systems.



    .- MPG: Multi-Modal Personal Health Graph for Alzheimer’s Disease Diagnosis.



    .- SMAC: A secure multi-authority access control scheme with attribute unifi cation for Fog enabled IoT in e-health.



    .- Convolutional Neural Networks Parameter Training for SCM Algorithm based on Hausdorff Difference.



    .- Handling Non-stationarity with Distribution Shifts and Data Dependency in Time Series Forecasting.



    .- The two-stage stochastic facility location game.



    .- Regularized non-monotone $\gamma$-weakly submodular maximization.



    .- Fed-MoE: Efficient Federated Learning for Mixture-of-Experts Models via Empirical Pruning.



    .- WaitIO-Hybrid: Communication for Coupling MPI Programs among Heterogeneous Systems.



    .- The Material Delivery Route Prediction Method Based on Deep Reinforcement Learning.



    .- Privacy-Preserving in Medical Image Analysis: A Review of Methods and Applications.



    .- Research on Task Migration Problem Based on Link Uncertainty in Adver sarial Scenarios.



    .- Optimizing Production Component Scheduling In Multivariate Industrial Networks With Dynamic Changes In Production Costs.



    .- Multi-Agent Collaboration for Time-Sensitive Tasks in Multiple Networked Adversarial Scenarios.



    .- Containerized Data-Flow Processing for Scalable Real-Time Analytics on Edge Devices.



    .- Fast Approximation for Scheduling Malleable Jobs on Parallel Batch Machines with Rejection.



    .- Real-Time and In-Situ Temperature Profiling for Determining Detonation of White Dwarf Mergers.



    .- accparser: A Standalone OpenACC Parser and its Usage on Mapping Ope nACC to OpenMP Directives.



    .- Out-of-Memory GPU Sorting using Asynchronous CUDA Streams.



    .- Long-Term and Periodicity-Aware Spatio-Temporal Model for Traffic Flow Prediction.



    .- A new approximation algorithm for two-machine flow shop with transporter coordinate.



    .- Enhancing Federated Learning Robustness in Non-IID Data Environments via MMD-Based Distribution Alignment.



    .- Multi-scale Time-frequency Representation for Multi-component Radar Signal Recognition.



    .- An LP-based approximation algorithm for the fault-tolerant facility location problem with penalties.



    .- A Q-Learning Driven Artificial Bee Colony Algorithm for Multi-Objective Multiplex Industrial Chain Networks Design with Multiple Supply Cycles.



    .- Complete Bipartite Graph Division Under Weakly Lexicographic Preferences.



    .- Multiagent Reinforcement Learning based on Structural Coordination.



    .- Fair Division of Indivisible Chores with Weighted and Prioritized Agents.



    .- An Efficient Incentive Mechanism for Collaborative Anomaly Detection in Internet of Things.



    .- Advancing Evasion: Highly Effective Distributed Backdoor Attacks in Federated Learning.



    .- DCAFNet: An Efficient Change Detection Structure for Remote Sensing Images.



    .- Feature norms-aware and Hardness guided Complementary Entropy Balanced Loss for Long-tailed Image Classification.



    .- Research on Two-stage Text Language Identification Algorithms for Chinese, Japanese, and Korean.



    .- Improved XGBoost-MLP model and application to performance prediction.



    .- STB-GraCapsNet: A Novel Capsule Network Structure with Swin Transformer Block.



    .- NAAM: Enhancing Automatic Task Mapping Efficiency on NUMA Machines.



    .- A Lightweight Garbage Classification Algorithm for Scenic Spots.



    .- Soft capacitated two-stage stochastic facility location problem.



    .- TSR: a Location Privacy Preservation Mechanism in Public Transportation Route Planning Service.



    .- Parallel Acceleration of Transportation Problem Solving Using SpMV in the Industrial Chain Context.



    .- Reinforcement Learning for Airline Multi-product Continuous Dynamic Pricing.



    .- I/O Latency Management in Private Cloud Infrastructures.



    .- UAV Swarm Collaborative Target Assignment Problem: A Deletion Robust Submodular Maximization Approach.



    .- Streaming algorithm for balance gain and cost with Knapsack constraint on the integer lattice.



    .- Decentralizing Energy Trading for Electric Vehicles using Blockchain Technology.



    .- Leveraging Hardware Performance Counters for Predicting Workload Interference in Vector Supercomputers.



    .- Intelligent Multi-agent Systems for UAV-Robot Path Optimization via Reflective Evolution.  



    .- The hub location and flow assignment problem in the high-speed railway and highway co-transportation network.



    .- Predicting MPI communication for solving partial differential equations using Machine Learning.



    .- A CNN_LSTM_KAN based genetic algorithm for photovoltaic power generation revenue prediction.



    .- A Multiscale Global-Local Transformer for Long-Sequence PV power generation Forecasting.