Collaborative computing: networking, applications and worksharing : 19th EAI International Conference, CollaborateCom 2023, Corfu Island, Greece, October 4-6, 2023, proceedings. Part II / Honghao Gao, Xinheng Wang, Nikolaos Voros, editors.

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...

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Bibliographic Details
Online Access: Full Text (via Springer)
Corporate Author: International Conference on Collaborative Computing: Networking, Applications, and Worksharing Corfu Island, Greece
Other Authors: Gao, Honghao (Editor), Wang, Xinheng (Professor of mechatronics and robotics) (Editor), Voros, Nikolaos S. (Editor)
Other title:CollaborateCom 2023
Format: Conference Proceeding eBook
Language:English
Published: Cham : Springer, [2024]
Series:Lecture notes of the Institute for Computer Sciences, Social Informatics, and Telecommunications Engineering ; 562.
Subjects:

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245 1 0 |a Collaborative computing: networking, applications and worksharing :  |b 19th EAI International Conference, CollaborateCom 2023, Corfu Island, Greece, October 4-6, 2023, proceedings.  |n Part II /  |c Honghao Gao, Xinheng Wang, Nikolaos Voros, editors. 
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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 Day 2, Federated learning and application, Collaborative working, Edge Computing and Prediction, Optimization and Applications. 
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. 
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700 1 |a Gao, Honghao,  |e editor.  |0 http://id.loc.gov/authorities/names/n2023040414 
700 1 |a Wang, Xinheng  |c (Professor of mechatronics and robotics),  |e editor.  |0 http://id.loc.gov/authorities/names/nb2022010476 
700 1 |a Voros, Nikolaos S.,  |e editor.  |0 http://id.loc.gov/authorities/names/no2006024077  |1 http://isni.org/isni/0000000044389020 
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