06050nam a22005895i 4500001001800000003000900018005001700027007001500044008004100059020003700100024003500137050001500172072001600187072002300203072001500226245027000241250001800511264006900529300006700598336002600665337002600691338003600717347002400753490013100777505257700908520090303485650002204388650005404410650003204464650002104496650003304517650003204550650003604582650004604618650004404664650004204708650003304750650005104783700008204834700008304916700008504999710003405084773002605118776003605144776003605180830013805216856004605354912001405400912001505414912001405429999001705443978-3-031-54528-3DE-He21320251030111439.0cr nn 008mamaa240222s2024    sz |    s    |||| 0|eng d  a97830315452839978-3-031-54528-37 a10.1007/978-3-031-54528-32doi 4aQA76.9.S88 7aUYD2bicssc 7aCOM0110002bisacsh 7aUYD2thema10aCollaborative Computing: Networking, Applications and Worksharingh[electronic resource] :b19th EAI International Conference, CollaborateCom 2023, Corfu Island, Greece, October 4-6, 2023, Proceedings, Part II /cedited by Honghao Gao, Xinheng Wang, Nikolaos Voros.  a1st ed. 2024. 1aCham :bSpringer Nature Switzerland :bImprint: Springer,c2024.  aXIV, 536 p. 165 illus., 158 illus. in color.bonline resource.  atextbtxt2rdacontent  acomputerbc2rdamedia  aonline resourcebcr2rdacarrier  atext filebPDF2rda1 aLecture Notes of the Institute for Computer Sciences, Social Informatics and Telecommunications Engineering,x1867-822X ;v5620 aDeep 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.  aThe 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. 0aComputer systems. 0aInformation storage and retrieval systems.965568 0aComputer networks .960157 0aData protection. 0aSoftware engineering.933953 0aComputers, Special purpose.14aComputer System Implementation.24aInformation Storage and Retrieval.96557024aComputer Communication Networks.96568924aData and Information Security.96649224aSoftware Engineering.93395324aSpecial Purpose and Application-Based Systems.1 aGao, Honghao.eeditor.4edt4http://id.loc.gov/vocabulary/relators/edt9715811 aWang, Xinheng.eeditor.4edt4http://id.loc.gov/vocabulary/relators/edt9715821 aVoros, Nikolaos.eeditor.4edt4http://id.loc.gov/vocabulary/relators/edt9715832 aSpringerLink (Online service)0 tSpringer Nature eBook08iPrinted edition:z978303154527608iPrinted edition:z9783031545290 0aLecture Notes of the Institute for Computer Sciences, Social Informatics and Telecommunications Engineering,x1867-822X ;v56296812140uhttps://doi.org/10.1007/978-3-031-54528-3  aZDB-2-SCS  aZDB-2-SXCS  aZDB-2-LNS  c57815d57815