Collaborative Computing: Networking, Applications and Worksharing 19th EAI International Conference, CollaborateCom 2023, Corfu Island, Greece, October 4-6, 2023, Proceedings, Part II /

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...

Disgrifiad llawn

Wedi'i Gadw mewn:
Manylion Llyfryddiaeth
Awdur Corfforaethol: SpringerLink (Online service)
Awduron Eraill: Gao, Honghao (Golygydd), Wang, Xinheng (Golygydd), Voros, Nikolaos (Golygydd)
Fformat: Electronig eLyfr
Iaith:Saesneg
Cyhoeddwyd: Cham : Springer Nature Switzerland : Imprint: Springer, 2024.
Rhifyn:1st ed. 2024.
Cyfres:Lecture Notes of the Institute for Computer Sciences, Social Informatics and Telecommunications Engineering, 562
Pynciau:
Mynediad Ar-lein:https://doi.org/10.1007/978-3-031-54528-3
Tagiau: Ychwanegu Tag
Dim Tagiau, Byddwch y cyntaf i dagio'r cofnod hwn!

MARC

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490 1 |a Lecture Notes of the Institute for Computer Sciences, Social Informatics and Telecommunications Engineering,  |x 1867-822X ;  |v 562 
505 0 |a Deep Learning and Application -- Task Offloading in UAV-to-Cell MEC Networks: Cell Clustering and Path Planning.LAMB: Label-induced Mixed-level Blending for Multimodal Multi-label Emotion Detection -- MSAM: Deep Semantic Interaction Network for Visual Question Answering -- Defeating the non-stationary opponent using deep reinforcement learning and opponent modeling -- Multi-agent Deep Reinforcement Learning-based Approach to Mobility-aware Caching -- D-AE: A Discriminant Encode-Decode Nets For Data Generation -- ECCRG: A Emotion- and Content-controllable Response Generation Model -- Origin-Destination Convolution Recurrent Network: A Novel OD Matrix Prediction Framework -- MD-TransUNet: TransUNet with Multi-Attention and Dilated Convolution for Brain Stroke Lesion Segmentation -- Graph Computing -- DGFormer: An Effective Dynamic Graph Transformer based Anomaly Detection Model for IoT Time Series -- STAPointGNN: Spatial-Temporal Attention Graph Neural Network for Gesture Recognition Using Millimeter-Wave Radar -- NPGraph: An Efficient Graph Computing Model in NUMA-Based Persistent Memory Systems -- tHR-Net: A Hybrid Reasoning Framework for Temporal Knowledge Graph -- Improving Code Representation Learning via Multi-view Contrastive Graph Pooling for Abstract Syntax Tree -- Security and Privacy Protection -- Protect applications and data in use in IoT environment using collaborative computing -- Robustness-enhanced assertion generation method based on code mutation and attack defense -- Secure Traffic Data Sharing in UAV-Assisted VANETs -- A Lightweight PUF-Based Group Authentication Scheme for Privacy-Preserving Metering Data Collection in Smart Grid -- A Semi-Supervised Learning Method for Malware Traffic Classification with Raw Bitmaps -- Secure and Private Approximated Coded Distributed Computing Using Elliptic Curve Cryptography -- A Novel Semi-supervised IoT Time Series Anomaly Detection Model using Graph Structure Learning -- Structural Adversarial Attack for Code Representation Models -- An Efficient Authentication and Key Agreement Scheme for CAV Internal Applications -- Processing and Recognition -- SimBPG: A comprehensive similarity evaluation metric for business process graphs -- Probabilistic Inference Based Incremental Graph Index for Similarity Search on Social Networks -- Cloud-Edge-Device Collaborative Image Retrieval and Recognition for Mobile Web -- Contrastive Learning-based Finger-Vein Recognition with Automatic Adversarial Augmentation -- Multi-Dimensional Sequential Contrastive Learning for QoS Prediction. 
520 |a 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. 
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650 2 4 |a Special Purpose and Application-Based Systems. 
700 1 |a Gao, Honghao.  |e editor.  |0 (orcid)0000-0001-6861-9684  |1 https://orcid.org/0000-0001-6861-9684  |4 edt  |4 http://id.loc.gov/vocabulary/relators/edt 
700 1 |a Wang, Xinheng.  |e editor.  |4 edt  |4 http://id.loc.gov/vocabulary/relators/edt 
700 1 |a Voros, Nikolaos.  |e editor.  |4 edt  |4 http://id.loc.gov/vocabulary/relators/edt 
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