My Account Log in

1 option

Parallel and Distributed Computing, Applications and Technologies : 21st International Conference, PDCAT 2020, Shenzhen, China, December 28-30, 2020, Proceedings / edited by Yong Zhang, Yicheng Xu, Hui Tian.

SpringerLink Books Computer Science (2011-2024) Available online

View online
Format:
Book
Contributor:
Zhang, Yong, Editor.
Xu, Yicheng, Editor.
Tian, Hui, Editor.
SpringerLink (Online service)
Series:
Computer Science (SpringerNature-11645)
LNCS sublibrary. Theoretical computer science and general issues 2512-2029 ; SL 1, 12606
Theoretical Computer Science and General Issues, 2512-2029 ; 12606
Language:
English
Subjects (All):
Computer science.
Computer networks.
Data structures (Computer science).
Information theory.
Application software.
Computer science-Mathematics.
Theory of Computation.
Computer Communication Networks.
Data Structures and Information Theory.
Computer and Information Systems Applications.
Mathematics of Computing.
Local Subjects:
Theory of Computation.
Computer Communication Networks.
Data Structures and Information Theory.
Computer and Information Systems Applications.
Mathematics of Computing.
Physical Description:
1 online resource (XIII, 402 pages) : 164 illustrations, 117 illustrations in color.
Edition:
1st ed. 2021.
Contained In:
Springer Nature eBook
Place of Publication:
Cham : Springer International Publishing : Imprint: Springer, 2021.
System Details:
text file PDF
Summary:
This book constitutes the proceedings of the 21st International Conference on Parallel and Distributed Computing, Applications, and Technologies, PDCAT 2020, which took place in Shenzhen, China, during December 28-30, 2020. The 34 full papers included in this volume were carefully reviewed and selected from 109 submissions. They deal with parallel and distributed computing of networking and architectures, software systems and technologies, algorithms and applications, and security and privacy. .
Contents:
Blood leukocyte object detection according to model-parameter transfer and deformable convolution
Heterogeneous Software Effort Estimation via Cascaded Adversarial Auto-Encoder
A Novel Distributed Reinforcement Learning Method for Classical Chinese Poetry Generation
Memory Access Optimization of High-order CFD Stencil Computations on GPU
The Dataflow Runtime Environment of DFC
Adaptive Tensor-Train Decomposition for Neural Network Compression
Development of a UAV path planning approach for multi-building inspection with minimal cost
Construction of Completely Independent Spanning Tree based on Vertex Degree
Distributed Algorithm for Truss Maintenance in Dynamic Graphs
Short-term load forecasting based on CNN-BiLSTM with Bayesian Optimization and Attention Mechanism
On The Non-ergodic Convergence Rate of The Directed Nonsmooth Composite Optimization
6D Pose Estimation Based on the Adaptive Weight of RGB-D Feature
Blockchain-based Secure Outsourcing of Fully Homomorphic Encryption using Hidden Ideal Lattice
Multiple Projections Learning for Dimensional Reduction
Preventing DDoS Attacks on Bitcoin Memory Pool by the Dynamic Fee Threshold Mechanism
The Compiler of DFC: A Source Code Converter that Transform the Dataflow Code to the Multi-threaded C Code
Online Learning-Based Co-Task Dispatching with Function Configuration in Edge Computing
System-Level FPGA Routing for Logic Verification with Time-Division Multiplexing
Protein interresidue contact prediction based on deep learning and massive features from multi-sequence alignment
See Fine Color from the Rough Black-and-White
Data Aggregation Aware Routing for Distributed Training
A New Integer Programming Model for the File Transfer Scheduling Problem
Approximation Algorithms for the General Clustered Routing Problem
Maximizing Group Coverage in Social Networks
LightLayers: Parameter Efficient Dense and Convolutional Layers for Image Classification
The Hybrid Navigation Method in Face of Dynamic Obstacles
A relaxed balanced lock-free binary search tree
A Dynamic Parameter Tuning Method for High Performance SpMM. -Data Caching Based Transfer Optimization in Large Scale Networks
Second-order Convolutional Neural Network based on Cholesky Compression Strategy
Submodular Maximization with Bounded Marginal Values
A streaming model for monotone lattice submodular maximization with a cardinality constraint
The prize-collecting $k$-Steiner tree problem
Optimal algorithm of Isolated toughness for Interval Graphs
Graceful Performance Degradation in Apache Storm. .
Other Format:
Printed edition:
ISBN:
978-3-030-69244-5
9783030692445
Access Restriction:
Restricted for use by site license.

The Penn Libraries is committed to describing library materials using current, accurate, and responsible language. If you discover outdated or inaccurate language, please fill out this feedback form to report it and suggest alternative language.

My Account

Shelf Request an item Bookmarks Fines and fees Settings

Guides

Using the Library Catalog Using Articles+ Library Account