Produktbild: Algorithms and Architectures for Parallel Processing
Band 16387 - 10%

Algorithms and Architectures for Parallel Processing 25th International Conference, ICA3PP 2025, Zhengzhou, China, October 30 – November 2, 2025, Proceedings, Part VII

10% sparen

123,99 € UVP 139,09 €

inkl. gesetzl. MwSt., Versandkostenfrei

Lieferung nach Hause

Beschreibung

Produktdetails

Einband

Taschenbuch

Erscheinungsdatum

03.04.2026

Abbildungen

XXIII, 299 illus., 252 illus. in color., farbige Illustrationen, schwarz-weiss Illustrationen

Herausgeber

Huazhong Liu + weitere

Verlag

Springer Singapore

Seitenzahl

723

Maße (L/B/H)

23,5/15,5/4 cm

Gewicht

1112 g

Auflage

1. Auflage

Sprache

Englisch

ISBN

978-981-9584-16-1

Beschreibung

Produktdetails

Einband

Taschenbuch

Erscheinungsdatum

03.04.2026

Abbildungen

XXIII, 299 illus., 252 illus. in color., farbige Illustrationen, schwarz-weiss Illustrationen

Herausgeber

Verlag

Springer Singapore

Seitenzahl

723

Maße (L/B/H)

23,5/15,5/4 cm

Gewicht

1112 g

Auflage

1. Auflage

Sprache

Englisch

ISBN

978-981-9584-16-1

Herstelleradresse

Springer-Verlag KG
Sachsenplatz 4-6
1201 Wien
AT

Email: GPSR Kontakt

Noch keine Bewertungen vorhanden

Verfassen Sie die erste Bewertung zu diesem Artikel

Helfen Sie anderen Kundinnen und Kunden durch Ihre Meinung.

Kundinnen und Kunden meinen

Bewertungen (0)

  • Produktbild: Algorithms and Architectures for Parallel Processing
  • .- Service Dependability and Security in Distributed and Parallel Systems.

    .- Rebel: A Cross-Chain Data Audit Scheme Based on Reputation Model to Defend Against Malicious Nodes.

    .- PPCPP: A Practical Payment Channel Model with Privacy Protection.

    .- Efficient Privacy-Preserving Facial Verification via Fully Homomorphic Encryption and Preprocessing.

    .- LLM-BSCVM: LLM-Based Blockchain Smart Contract Vulnerability Management Framework.

    .- Blockchain-Based Insurance Data Sharing Framework for Fraud Prevention in Zero Trust Environments.

    .- Integrated Voronoi Diagram and Stay Point Detection for Trajectory Privacy Preservation in Edge Computing.

    .- FLIDS-Mamba: Multi-Center Network Intrusion Detection Based on Federated Learning and Bidirectional State Space Model.

    .- Enhancing Security in Embodied Intelligence: Attack Detection via Constraint Functions.

    .- X-ECU: Unlocking in-Vehicle ECU Firmware Vulnerabilities for Exploitation.

    .- Message Prediction Table: Enhancing Robustness Against Replay Attacks in CAN Networks.

    .- DP-DPFL: Short Term Load Forecasting Based on Differential Privacy and Dynamic Personalized Federated Learning.

    .- DAGLoc: End-to-End Troubleshooting Approach for Big Data Scheduling System.

    .- A Comprehensive Review of Trust-Based Access Control: A Five-Dimensional Analysis and Emerging Trends in Multi-Technology Integration.

    .- RBFUZZ: Network Protocol Fuzzing Guided by Rare Branch.

    .- MH-GAT: A Buffer Overflow Vulnerability Detection Method via Cross-Graph Semantic Alignment.

    .- MEML-KEM: A Memory-Efficient Implementation of ML-KEM for IoT Devices.

    .- Conceptual Framework for Federated Reinforcement Learning in Network Defense.

    .- A New vTPM Architecture with Strong Isolation for the Cloud.

    .- Formalizing Blockchain-Based Communication for Tactical Data Link.

    .- Observer-Based Event-Triggered Control for Switched Systems under DoS and Deception Attacks.

    .- MHVD: Multigranularity Smart Contract Vulnerability Detection Using Reinforced Multiplex Heterogeneous Graph Convolutional Network.

    .- HOFT: A New Fault-Tolerant Routing Algorithm for Network-on-Chip.

    .- Network Architectures and Algorithms.

    .- QoS-Sim: A Flexible Simulation Platform for Fine-Grained Data Center Network Monitoring.

    .- Availability-Aware Service Function Chain Placement with VNFI Sharing: A Performance-Enhancement Deep Reinforcement Learning Approach.

    .- B2-CTA: Deep Learning Model for Network Intrusion Detection.

    .- Distributed Semantic Communication Network with Adaptive Channel Conditions and Transmission Rates Joint Source-Channel Coding.

    .- Network Coding Based Energy-Efficient Opportunistic Routing Protocol in Low-Power and Lossy Networks.

    .- IB-APC: InfiniBand-Ethernet Protocol Conversion for Scalable Long-Distance RDMA Communication.

    .- TD3-Based Collaborative Computation Offloading and Trajectory Optimization in UAV-Assisted MEC Networks.

    .- Resource Scheduling in Dynamic STAR-RIS-Enabled NOMA-ISCC Systems Based on Multi-Agent Deep Reinforcement Learning.

    .- A Multipath Routing Optimization Algorithm Based on SDN and Reinforcement Learning for Computing First Networks.

    .- DRL-Driven Adaptive Redundancy Control for Network Coding in FANETs: Balancing Reliability and Energy Efficiency.

    .- A Multivariate Time Series Forecasting Framework Based on Multi-Scale Convolution and an Inverted Transformer with Differencing Mechanism.

    .- In-Kernel CNN Inference for Edge Devices: An eBPF-Based Approach to Low-Latency and Resource-Efficient Processing.

    .- Task Offloading in Dynamic Vehicular Networks Based on Deep Reinforcement Learning. 

    .- Implementation and Performance Evaluation of TCP over QUIC Tunnels.

    .- Load-Aware Offloading and Resource Allocation in SAGIN via LSTM-Enhanced Deep Reinforcement Learning.

    .- AI Medical Topic Popularity Prediction Based on Improved BERTopic Topic Modeling with Multi-LSTM and ARIMA.

    .- Internet of Things and Cyber-Physical-Social Computing.

    .- GAN-Inspired Multi-Strategy Grey Wolf Optimizer for Coverage Optimization in Obstacle-Rich IoT Environments.

    .- A Two-Stage Stackelberg Game Based Task Offloading Scheme for Internet of Vehicles.

    .- The Cloud-Edge-Terminal Collaborative Distributed Semantic Communication for IoT.

    .- DF-DETR: An Algorithm for Small Object Detection in UAV Aerial Images.

    .- Baseline Generation Method for HIDS Data Based on Manifold Learning.

    .- UAV-Assisted Vehicular Edge Offloading and Scheduling Optimization via DRL and HA.

    .- Delay-Aware Task Offloading Strategy for Vehicular Fog Computing Based on Q-Learning.

    .- Managing Information Update with Edge Computing: A Deep Reinforcement Learning Approach.

    .- Multi-Task Low-Level Vision Network for FPGA Deployment: SL-SYENet Joint Optimization Framework.

    .- A Learning-Based Hyperspectral Image Compression Method Integrating Frequency-Domain Modeling and State Space Mechanism.

    .- Multi-AUVs-Human Collaborative Search and Rescue Scheme Based on Large Language Models and Deep Reinforcement Learning.

    .- Streaming Weighing of Powdered Materials via Multimodal Fusion of Vibration, Optical Velocity, and Weight Signals.

    .- An IoT-Based Distributed Smart Warehousing System with Intelligent Scheduling and 5G-Driven Low Latency.