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[null,"1.","Record Nr.",null,"UNISA996499854303316"]
[null,null,"Titolo",null,"Wireless sensor networks : 16th China conference, CWSN 2022, Guangzhou, China, November 10-13, 2022, proceedings / / edited by Huadong Ma [and five others]"]
[null,null,"Pubbl/distr/stampa",null,"Gateway East, Singapore : , : Springer, , [2023]"]
[{"$nulls":4},"©2023"]
[null,null,"ISBN",null,"981-19-8350-X"]
[null,null,"Descrizione fisica",null,"1 online resource (243 pages)"]
[null,null,"Collana",null,"Communications in Computer and Information Science Ser. ; ; v.1715"]
[null,null,"Disciplina",null,"681.2"]
[null,null,"Soggetti",null,"Sensor networks"]
[{"$nulls":4},"Wireless LANs"]
[null,null,"Lingua di pubblicazione",null,"Inglese"]
[null,null,"Formato",null,"Materiale a stampa"]
[null,null,null,"Livello bibliografico","Monografia"]
[null,null,null,"Nota di bibliografia","Includes bibliographical references and index."]
[null,null,"Nota di contenuto",null,"Intro -- Preface -- Organization -- Contents -- MmLiquid: Liquid Identification Using mmWave -- 1 Introduction -- 2 Related Work -- 2.1 Wireless Sensing -- 2.2 Liquid Identification -- 3 Background and Motivation -- 3.1 mmWave Background -- 3.2 Liquid Properties and mmWave -- 3.3 Preliminary Study and Motivation -- 4 Overview -- 5 MmLiquid Design -- 5.1 Data Collection Module -- 5.2 Data Reconstruction Module -- 5.3 Classification Model -- 6 Performance Evaluation -- 6.1 Implementation -- 6.2 Liquid Identification Performance -- 7 Conclusion -- References -- PASD: A Prioritized Action Sampling-Based Dueling DQN for Cloud-Edge Collaborative Computation Offloading in Industrial IoT -- 1 Introduction -- 2 Related Work -- 3 System Model -- 3.1 Task Model -- 3.2 Transmission Model -- 3.3 Computing Model -- 3.4 Problem Formulation -- 4 Computation Offloading and Resources Allocation with PASD -- 4.1 MDP -- 4.2 PASD Model -- 5 Evaluation -- 5.1 Experimental Environment -- 5.2 Parameter Settings -- 5.3 Experimental Results -- 6 Conclusion -- References -- Automatic Construction of Large-Scale IoT Datasets with Multi-strategy Fusion -- 1 Introduction -- 2 Dataset Construction Methods -- 2.1 Construction of Original Data -- 2.2 Data Classification and Filtering -- 2.3 Refinement of the Data -- 2.4 Data Standardization -- 3 Data Analysis and Application -- 4 Conclusion -- References -- Research on Argo Data Anomaly Detection Based on Improved DBSCAN Algorithm -- 1 Introduction -- 2 Related Work -- 3 Improved "]
[{"$nulls":4},"Algorithm -- 3.1 Argo Buoy Dataset -- 3.2 Dataset Processing -- 3.3 Parameter Pair Selection Mechanism -- 3.4 Algorithm Clustering Process -- 4 Experimental Results and Discussion -- 4.1 Dataset Processing -- 4.2 Threshold Selection -- 4.3 Analysis of Experimental Results -- 5 Conclusion -- References."]
[{"$nulls":4},"Fog Federation Pricing and Resource Purchase Based on the Stackelberg Model in Fog Computing -- 1 Introduction -- 2 Related Works -- 3 System Model -- 4 Problem Statement -- 5 Simulation -- 6 Conclusion -- References -- Bandwidth Scheduling Scheme with AoI Guarantee for Heterogeneous Mobile Edge Caching -- 1 Introduction -- 2 System Model -- 3 Problem Formulation -- 3.1 Age of Information Analysis -- 3.2 Bandwidth Allocation Optimization -- 4 A Bandwidth Scheduling Scheme Based on Genetic Algorithm -- 4.1 Initialization of Population -- 4.2 Genetic Operation -- 5 Performance Analysis -- 6 Conclusions -- References -- An Explainable Machine Learning Framework for Lower Limb Exoskeleton Robot System -- 1 Introduction -- 2 Related Works -- 2.1 Sugeno-Type Fuzzy Inference -- 2.2 Factor Analysis -- 2.3 Octave-Band Filtering -- 3 Interpretable Machine Learning -- 3.1 Local Interpretable Model-Agnostic Explanations (LIME) -- 3.2 Shapley Values -- 3.3 SHapley Additive exPlanations (SHAP) -- 4 Methods -- 4.1 Local Explanation -- 4.2 GLobal Explanation -- 4.3 Tectonic New Feature -- 5 Experiments -- 5.1 Exoskeleton DataSet -- 5.2 Data Preprocessing -- 5.3 Data Analysis -- 5.4 Performance in Different Modes -- 5.5 Local Explanation Result -- 5.6 Global Explanation Result -- 5.7 Tectonic New Feature -- 6 Conclusion and Future Work -- References -- A Community Detection Algorithm Fusing Node Similarity and Label Propagation -- 1 Introduction -- 2 Preliminaries -- 3 FNSLP Algorithm Design -- 4 Experiments -- 4.1 Evaluation Criterions -- 4.2 Experimental Data Set -- 4.3 Analysis of Experimental Results in Real Networks -- 4.4 Influence of Parameter -- 4.5 Compare the Results with or Without Fusing Node Similarity -- 4.6 Analysis of Experimental Results in LFR Networks -- 5 Conclusion -- References."]
[{"$nulls":4},"Cooperative Edge Caching Strategy Based on Mobile Prediction and Social-Aware in Internet of Vehicles -- 1 Introduction -- 2 System Model -- 2.1 Network System -- 2.2 Caching Model -- 2.3 Communicating Model -- 2.4 Problem Formulation -- 3 CCMPSA Caching Strategy -- 3.1 Vehicle Mobility Prediction -- 3.2 Caching Vehicles Selection -- 3.3 Cooperative Caching Strategy Based on DRL -- 4 Simulation Results -- 5 Conclusion -- 6 Funding Statement -- References -- A Graph Neural Network Based Model for IoT Binary Components Similarity Detection -- 1 Introduction -- 2 Related Work -- 3 Architecture -- 3.1 Overview -- 3.2 Module Description -- 4 Experiment -- 4.1 Experiment Setup -- 4.2 Experiment Results -- 5 Conclusion -- References -- Multi-scale Temporal Feature Fusion for Time-Limited Order Prediction**-4pt -- 1 Introduction -- 2 Motivation -- 2.1 Data -- 2.2 Temporal Dependencies and Static Order Features -- 3 Model Framework -- 3.1 Definitions and Notations -- 3.2 Time-Series Mixing Module -- 3.3 Static Features Enhancement Module -- 3.4 System Overview -- 4 Experiments -- 4.1 Experiment Setup -- 4.2 Performance Comparison -- 4.3 Experiment Results -- 5 Related Work -- 6 Conclusion -- References -- Dynamics Modeling of Knowledge Dissemination Process in Online Social Networks -- 1 Introduction -- 2 System Model -- 3 Theoretical Analysis -- 4 Numerical Simulations -- 5 Conclusion -- References -- The Impact of Time Delay and User's Behavior on the Dissemination Process of Rumor in Mobile Social Networks -- 1 Introduction -- 2 System Model -- 3 Stability Analysis -- 4 Simulation Experiment -- 5 Conclusion -- References -- Minimizing the Embedding Cost of Service Function Chains with "]
[{"$nulls":4},"Adjustable Order -- 1 Introduction -- 2 Related Work -- 3 Network Model and Problem Definition -- 3.1 Network Model -- 3.2 NFV-Enabled Unicasting Problem."]
[{"$nulls":4},"3.3 Delay Constraints of Unicast Requests -- 4 Algorithms for a Single NFV-Enabled Unicast Request -- 4.1 Construction of PMCD -- 4.2 The Optimal Algorithm for Handling Unicast Request Without Delay Constraints -- 4.3 Handle Unicast Request with Delay Constraints -- 5 Experimental Evaluation -- 5.1 Experiment Setting -- 5.2 Experiment on Synthetic Network -- 5.3 Experiments on GÉANT -- 6 Conclusions -- References -- MDLpark: Available Parking Prediction for Smart Parking Through Mobile Deep Learning -- 1 Introduction -- 2 Literature Review -- 3 Methodology -- 3.1 Proposed Architecture -- 3.2 Data Preprocessing -- 3.3 Model Training -- 3.4 TF-Lite Model Compression -- 3.5 Application Architecture -- 4 Evaluation -- 4.1 Dataset -- 4.2 Evaluation Metric -- 4.3 Experimental Result -- 5 Conclusion -- References -- Image Attribute Modification Based on Text Guidance -- 1 Introduction -- 2 Related Work -- 2.1 Text-to-Image Generation -- 2.2 Conditional Image Synthesis -- 2.3 Text-Guided Image Manipulation -- 3 Generative Adversarial Networks for Image Modification -- 3.1 Edge Aware Generator -- 3.2 Edge Reconstruction Loss -- 3.3 Discriminator -- 3.4 Loss Function -- 4 Experiments -- 4.1 Datasets -- 4.2 Evaluation Metric -- 4.3 Quantitative Results -- 4.4 Qualitative Results -- 5 Conclusions -- References -- Industrial IoT Network Security Situation Prediction Based on Improved SSA-BiLSTM -- 1 Introduction -- 2 Research Methods -- 2.1 Bidirectional Long Short-Term Memory Network -- 2.2 Sparrow Search Algorithm -- 3 Industrial IoT Network Security Situation Forecast -- 3.1 Industrial IoT Dataset Description -- 3.2 Industrial IoT Network Security Situation Value -- 3.3 Sliding Window Method to Divide the Sample Set -- 3.4 Construction of BiLSTM Model -- 3.5 Improved Sparrow Search Algorithm -- 3.6 Steps of ISSA-BiLSTM Model Situation Prediction."]
[{"$nulls":4},"4 Experiment -- 5 Conclusion -- References -- Author Index."]