Collaborative Computing: Networking, Applications and Worksharing : 19th EAI International Conference, CollaborateCom 2023, Corfu Island, Greece, October 4-6, 2023, Proceedings, Part I (Lecture Notes of the Institute for Computer Sciences, Social Inf / Gao, Honghao (EDT)/ Wang, Xinheng (EDT)/ Voros, Nikolaos (EDT)

Collaborative Computing: Networking, Applications and Worksharing : 19th EAI International Conference, CollaborateCom 2023, Corfu Island, Greece, October 4-6, 2023, Proceedings, Part I (Lecture Notes of the Institute for Computer Sciences, Social Inf （2024）

個数：

Collaborative Computing: Networking, Applications and Worksharing : 19th EAI International Conference, CollaborateCom 2023, Corfu Island, Greece, October 4-6, 2023, Proceedings, Part I (Lecture Notes of the Institute for Computer Sciences, Social Inf （2024）

Gao, Honghao (EDT)/ Wang, Xinheng (EDT)/ Voros, Nikolaos (EDT)

ウェブストア価格 ¥22,326（本体¥20,297）
Springer International Publishing AG（2024/02発売）
外貨定価 UK£ 79.99
ポイント 202pt

在庫がございません。海外の書籍取次会社を通じて出版社等からお取り寄せいたします。
通常6～9週間ほどで発送の見込みですが、商品によってはさらに時間がかかることもございます。
【重要ご説明事項】
1. 納期遅延や、ご入手不能となる場合がございます。
2. 複数冊ご注文の場合は、ご注文数量が揃ってからまとめて発送いたします。
3. 美品のご指定は承りかねます。

●3Dセキュア導入とクレジットカードによるお支払いについて

【入荷遅延について】
世界情勢の影響により、海外からお取り寄せとなる洋書・洋古書の入荷が、表示している標準的な納期よりも遅延する場合がございます。
おそれいりますが、あらかじめご了承くださいますようお願い申し上げます。

◆画像の表紙や帯等は実物とは異なる場合があります。

◆ウェブストアでの洋書販売価格は、弊社店舗等での販売価格とは異なります。
また、洋書販売価格は、ご注文確定時点での日本円価格となります。
ご注文確定後に、同じ洋書の販売価格が変動しても、それは反映されません。

製本 Paperback:紙装版/ペーパーバック版／ページ数 444 p.
言語 ENG
商品コード 9783031545207

Full Description

The three-volume set LNICST 561, 562 563 constitutes the refereed post-conference proceedings of the 19th EAI International Conference on Collaborative Computing: Networking, Applications and Worksharing, CollaborateCom 2023, held in Corfu Island, Greece, during October 4-6, 2023.

The 72 full papers presented in these proceedings were carefully reviewed and selected from 176 submissions. The papers are organized in the following topical sections:

Volume I : Collaborative Computing, Edge Computing & Collaborative working, Blockchain applications, Code Search and Completion, Edge Computing Scheduling and Offloading.
Volume II: Deep Learning and Application, Graph Computing, Security and Privacy Protection and Processing and Recognition.
Volume III: Onsite Session Day2, Federated learning and application, Collaborative working, Edge Computing and Prediction, Optimization and Applications.

Collaborative Computing.- Enhanced Sound Recognition and Classification through Spectrogram Analysis, MEMS Sensors, and PyTorch: A Comprehensive Approach.- TCP Cubic Implementation in the OMNeT++ INET Framework for SIoT Simulation Scenarios.- Implementation Framework of a Blockchain Based Infrastructure for Electricity Trading within a Microgrid.- Resource Cooperative Scheduling Optimization Considering Security in Edge Mobile Networks.- Edge Computing & Collaborative working.- DQN-based Applications Offloading with Multiple Interdenpendent Tasks in Mobile Edge Computing.- Edge Server Deployment Approach Based on Uniformity and Centrality.- Budget-constrained Contention-aware Workflow Scheduling in a Hybrid Cloud.- A Dichotomous Repair-based Load-Balanced Task Allocation Strategy in Cloud-Edge Environment.- DPIM: Dynamic Pricing Incentive Mechanism for Mobile Crowd Sensing.- Blockchain applications.- Efficient and revocable anonymous account guarantee system based on blockchain.- Computing Resource Allocation for Hybrid Applications of Blockchain and Mobile Edge Computing.- Blockchain-Based EMR Enhancement: Introducing PMI-Chain for Improved Medical Data Security and Privacy.- BGET: A Blockchain-based Grouping-EigenTrust Reputation Management Approach for P2P Networks.- Privacy-Preserving Blockchain Supervision with Responsibility Tracking.- Code Search and Completion.- JARAD: An Approach for Java API Mention Recognition and Disambiguation in Stack Overflow.- Enrich Code Search Query Semantics With Raw Descriptions.- A code completion approach combining pointer network and Transformer-XL network.- A Code Search Method Incorporating Code Annotations.- CUTE A Collaborative Fusion Representation-based Fine-tuning and Retrieval Framework for CodeSearch.- Edge Computing Scheduling and Offloading.- Roadside IRS Assisted Task Offloading in Vehicular Edge Computing Network.- Collaborative Task Processing and Resource Allocation Based on Multiple MEC Servers.- Collaborative Cloud-Edge Computing with Mixed Wireless and Wired Backhaul Links: Joint Task Offloading and Resource Allocation.- Dynamic offloading based on meta deep reinforcement learning and load prediction in smart home edge computing.