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Algorithms and Architectures for Parallel Processing: 21st International Conference, ICA3PP 2021, Virtual Event, December 35, 2021, Proceedings, Part I 1st ed. 2022 [Mīkstie vāki]

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  • Formāts: Paperback / softback, 811 pages, height x width: 235x155 mm, weight: 1276 g, 257 Illustrations, color; 52 Illustrations, black and white; XXXV, 811 p. 309 illus., 257 illus. in color., 1 Paperback / softback
  • Sērija : Lecture Notes in Computer Science 13155
  • Izdošanas datums: 23-Feb-2022
  • Izdevniecība: Springer Nature Switzerland AG
  • ISBN-10: 3030953831
  • ISBN-13: 9783030953836
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Algorithms and Architectures for Parallel Processing: 21st International Conference, ICA3PP 2021, Virtual Event, December 35, 2021, Proceedings, Part I 1st ed. 2022Palielināt
  • Formāts: Paperback / softback, 811 pages, height x width: 235x155 mm, weight: 1276 g, 257 Illustrations, color; 52 Illustrations, black and white; XXXV, 811 p. 309 illus., 257 illus. in color., 1 Paperback / softback
  • Sērija : Lecture Notes in Computer Science 13155
  • Izdošanas datums: 23-Feb-2022
  • Izdevniecība: Springer Nature Switzerland AG
  • ISBN-10: 3030953831
  • ISBN-13: 9783030953836
Citas grāmatas par šo tēmu:
Permanent link: https://www.kriso.lv/db/9783030953836.html
Keywords:
The three volume set LNCS 13155, 13156, and 13157 constitutes the refereed proceedings of the 21st International Conference on Algorithms and Architectures for Parallel Processing, ICA3PP 2021, which was held online during December 3-5, 2021.





The total of 145 full papers included in these proceedings were carefully reviewed and selected from 403 submissions. They cover the many dimensions of parallel algorithms and architectures including fundamental theoretical approaches, practical experimental projects, and commercial components and systems.





The papers were organized in topical sections as follows:





Part I, LNCS 13155: Deep learning models and applications; software systems and efficient algorithms; edge computing and edge intelligence; service dependability and security algorithms; data science;





Part II, LNCS 13156: Software systems and efficient algorithms; parallel and distributed algorithms and applications; data science; edge computing and edge intelligence; blockchain systems; deept learning models and applications; IoT;





Part III, LNCS 13157: Blockchain systems; data science; distributed and network-based computing; edge computing and edge intelligence; service dependability and security algorithms; software systems and efficient algorithms.
Deep Learning Models and Applications.- CRFST-GCN :A Deeplearning
Spital-Temporal Frame to Predict Traffic Flow.- BFR-RetinaNet: An Improved
RetinaNet Model for Vehicle Detection in Aerial Images.- Learning Knowledge
Graph Embeddings by Multi-Attention Mechanism for Link Prediction.- GlowImp:
Combining GLOW and GAN for Multivariate Time Series Imputation.- Accurate
Indoor Localization Using Magnetic Sequence Fingerprints with Deep Learning.-
Wasserstein Graph Auto-Encoder.- Fine-grained Activity Recognition Based on
Features of Action Subsegments and Incremental Broad Learning.- ADFA-LSTM: An
Abnormal Trajectory Prediction Method Based On Bionic Neural Network.- Online
Multiple Object Tracking Algorithm based on Heat Map Propagation.- Software
Systems and Efficient Algorithms.- Spatio-temporal Topology Routing Algorithm
for Opportunistic Network Based on Self-Attention Mechanism.- TSAEns:
Ensemble Learning for KPI Anomaly Detection.- Towards Transferable
Adversarial Examples using Meta Learning.- Temporal Convolution Network Based
on Attention for Intelligent Anomaly Detection of Wind Turbine Blades.- Error
Serial Episodes Discovery from Mobile Payment Log in Distributed ETC.-
Parallel Cache Prefetching for LSM-Tree based Store: From Algorithm to
Evaluation.- A Hybrid TLBO-TS Algorithm based Mobile Service Selection for
Composite Services.- UPM-DMA: An Efficient Userspace DMA-Pinned Memory
Management Strategy for NVMe SSD.- AHOA: Adaptively Hybrid Optimization
Algorithm for Flexible Job-shop Scheduling Problem.- Trace-Navi: A
High-Accuracy Indoor Navigation System based on Real-Time Activity
Recognition and Discrete Trajectory Calibration.- Iterative Filling
Incomplete Fingerprint Map Based on Multi-directional Signal Propagation in
Large-scale Scene            .- Dynamic Adjustment Policy of Search Driver
Matching Distance via Markov Decision Process.- A Multi-Precision Quantized
Super-Resolution Model Framework.- An Optimized GPU Implementation of
Weakly-compressible SPH using CUDA-based strategies.- A Heterogeneous
Multi-Core Network-on-Chip Mapping Optimization Algorithm.- A Novel 3D
Intelligent Cluster Method for Malicious Traffic Fine-grained
Classification.- Predicting Students Academic Performance Based on Improved
PSO-Xgboost: A Campus Behavior Perspective.- Motion-sequence Authentication
System: guard for smart phones.- Edge Computing and Edge Intelligence.- Joint
Optimization Scheme of Multi-service Replication and Request Offloading in
Mobile Edge Computing.- Flying MEC: Online Task Offloading, Trajectory
Planning and Charging Scheduling for UAV-assisted MEC.- Multiple Workflows
Offloading Based on Deep Reinforcement Learning in Mobile Edge Computing.- An
Optimized Greedy-based Task Offloading Method for Mobile Edge Computing.-
Location Aware Workflow Migration Based on Deep Reinforcement Learning in
Mobile Edge Computing.- Recode-Decode-and-Compare: An Efficient Verification
Scheme for Coded Edge Computing against Collusion Attack.- MGFL:
Multi-granularity Federated Learning in Edge Computing Systems.- Energy
Efficient Priority-Based Task Scheduling for Computation Offloading in Fog
Computing.- Space-Heuristic Navigation and Occupancy Map Prediction for Robot
Autonomous Exploration.- Service Dependability and Security Algorithms.- Edge
DDoS attack detection method based on software defined networks.- GradMFL:
Gradient Memory-based Federated Learning for Hierarchical Knowledge
Transferring over Non-IID Data.- Linear Coded Federated Learning.- Verifiable
Dynamic Searchable Symmetric Encryption with Forward Privacy in
Cloud-assisted E-Healthcare Systems.- Security Analysis of Poisoning Attacks
Against Multi-agent Reinforcement Learning.- A blockchain-based proxy
oriented cloud storage public audit scheme for low-performance terminal
devices.- Sunspot: A Decentralized Framework Enabling Privacy for
Authorizable Data Sharing on Transparent Public Blockchains.- A Novel
Protection method of continuous location sharing based on local differential
privacy and conditional random field.- An Intelligent Allocation Mechanism
Based on Ethereum Blockchain in Microgrid.- Data Science.- Multi-Layer
Adaptive Sampling for Per-Flow Spread Measurement.- Transformer-based
Rating-Aware Sequential Recommendation.- An effective single-pass approach
for estimating the -quantile in data streams.- Fed-Tra: Improving Accuracy
of Deep Learning Model on Non-IID Data in Federated Learning.