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[null,null,"Titolo",null,"Advances in mobile computing and multimedia intelligence : 20th International Conference, MoMM 2022, virtual event, November 28-30, 2022, proceedings / / Pari Delir Haghighi, Ismail Khalil, Gabriele Kotsis, editors"]
[null,null,"Pubbl/distr/stampa",null,"Cham, Switzerland : , : Springer, , [2022]"]
[{"$nulls":4},"©2022"]
[null,null,"ISBN",null,"3-031-20436-0"]
[null,null,"Descrizione fisica",null,"1 online resource (181 pages)"]
[null,null,"Collana",null,"Lecture notes in computer science ; ; 13634"]
[null,null,"Disciplina",null,"006.3"]
[null,null,"Soggetti",null,"Artificial intelligence"]
[{"$nulls":4},"Mobile computing"]
[{"$nulls":4},"Multimedia systems"]
[null,null,"Lingua di pubblicazione",null,"Inglese"]
[null,null,"Formato",null,"Materiale a stampa"]
[null,null,null,"Livello bibliografico","Monografia"]
[null,null,null,"Nota di bibliografia","Includes bibliographical references and index."]
[null,null,"Nota di contenuto",null,"Intro -- Preface -- Organization -- Embedded Machine Learning for Data Quality Enhancement in Smart Systems (Abstracts of Keynote Talk) -- Contents -- Applications of Classification -- Classification and Impact of Call-to-Actions in Push-Notifications -- 1 Introduction -- 2 Background -- 3 Methodology -- 4 Call-to-Action Classification -- 4.1 Annotated CTA Data -- 4.2 Data Augmentation -- 4.3 Implementation -- 4.4 Evaluation -- 5 Impact of Call-to-Actions In-the-Wild -- 5.1 Web Push-Notification Evaluation -- 5.2 Mobile Push-Notification Evaluation -- 6 Conclusions -- References -- An Intelligent ML-Based IDS Framework for DDoS Detection in the SDN Environment -- 1 Introduction -- 2 Related Works -- 3 Proposed Method -- 3.1 Data Acquisition -- 3.2 Selection of ML Method -- 4 Case Study -- 4.1 Dataset Selection -- 4.2 Choice of ML Model -- 5 Conclusion -- References -- Effects on Separated Learning of Acquiring Physical Movement Skills Classified by Level of Difficulty -- 1 Introduction -- 2 Implementation -- 3 Experiment -- 3.1 Learning Method -- 3.2 Learning Cost -- 3.3 Experimental Conditions -- 4 Results -- 4.1 Effects of Separated Learning for Learning the Dance Steps -- 5 Summary -- References -- Now, Later, Never: A Study of Urgency in Mobile Push-Notifications -- 1 Introduction -- 2 Background -- 3 Methodology -- 3.1 Mobile Push-Notification Dataset -- 3.2 "]
[{"$nulls":4},"Annotating Urgency with APN -- 3.3 Crowdsourced Annotation -- 4 Understanding Urgency in Mobile Push-Notifications -- 5 Evaluating Urgency Classification -- 5.1 Experiment 1 - Baseline -- 5.2 Experiment 2 - Data Augmentation -- 5.3 Experiment 3 - Time Expressions -- 5.4 Experiment 4 - Delivery Date -- 6 Conclusions -- References -- Image and Video Processing -- Efficient Subjective Video Quality Assessment Based on Active Learning and Clustering -- 1 Introduction."]
[{"$nulls":4},"2 Efficient Subjective VQA Based on Active Learning -- 2.1 Overview of AL-SVQA -- 2.2 Clustering Based Sampling Strategy -- 2.3 Dual Regression Models for Video Quality Prediction -- 2.4 Stop Criterion -- 2.5 Automatic Labelling -- 3 Experiments -- 3.1 Dataset -- 3.2 Experimental Settings -- 4 Experimental Results -- 4.1 Performance of AL-SVQA -- 4.2 Effect of Different Sampling Strategies -- 5 Conclusion -- References -- Curvable Image Markers: Toward Trackable Markers for Every Surface -- 1 Introduction -- 2 Related Work -- 3 Methodology -- 3.1 Detecting Curved Candidates -- 3.2 Curve Extraction and Modeling -- 3.3 Identifying Curved Markers -- 3.4 Image Marker -- 4 Evaluation -- 4.1 Detection Accuracy -- 4.2 Visual Appeal of Image Marker -- 5 Conclusion -- References -- Design Exploration for Better Security of Recognition-Based Image Authentication in Mobile Environment -- 1 Introduction -- 2 Related Work -- 3 Our Approach and Prototype System -- 4 Usability Evaluation -- 5 Discussion and Conclusion -- References -- A Scheduling Method for Division-Based Broadcasting on Dynamic Video Delivery -- 1 Introduction -- 2 Dynamic Update of Delivery Schedules -- 3 Proposed Method -- 3.1 Scheduling Procedure -- 3.2 Implementation -- 4 Evaluation -- 4.1 Evaluation Environment -- 4.2 Number of Segments and Amount of Waiting Time -- 4.3 Available Bandwidth and Waiting Time -- 5 Conclusion -- References -- Mobile Computing and Wireless Sensors -- Simulating Scenarios to Evaluate Data Filtering Techniques for Mobile Users -- 1 Introduction -- 2 Data Filtering-Based Mobile Information Services -- 2.1 Social-Distance and Context-Aware Mobile Recommender Systems -- 2.2 Social-Distance-Preserving Information Services for Drivers -- 3 Simulation of Scenarios to Evaluate Mobile Recommenders."]
[{"$nulls":4},"4 Simulation of Scenarios to Evaluate Strategies to Suggest Parking Spaces to Drivers -- 5 Experimental Evaluation -- 5.1 Experiments with RecMobiSim -- 5.2 Experiments with the Parking Simulator -- 6 Conclusions and Future Work -- References -- BetterPlanet: Sustainability Feedback from Digital Receipts -- 1 Introduction -- 2 The BetterPlanet System and Study -- 2.1 Application Architecture and Design -- 2.2 CO2-Data and CO2-Scoring Model for BetterPlanet -- 2.3 Study Participants -- 3 Results and Discussion -- 4 Limitations and Outlook -- 5 Conclusion -- References -- Context-Aware Human Activity Recognition (CA-HAR) Using Smartphone Built-In Sensors -- 1 Introduction -- 2 Related Work -- 3 Proposed Context-Activity Model -- 4 Context-Aware Human Activity Recognition (CA-HAR) -- 4.1 Basic Physical Activity Recognition -- 4.2 Context Management -- 4.3 Context-Aware HAR Integration -- 5 Implementation -- 6 Selection of Deep Learning (DL) Model -- 7 Scenario-Based Demonstration -- 7.1 Illustrative Simulation Scenario 1 - Studying/Working/Web Surfing (Home Activity) -- 7.2 Illustrative Simulation Scenario 2 - Commuting by Private Vehicle -- 7.3 Analysis of Results and Discussions -- 8 Conclusion and Future Work -- References -- An Improved 3DIHDV-H0P Localization Algorithm Using for Smart Irrigation Applications -- 1 Introduction -- 2 The DV-HOP Localization Algorithm -- 3 Related Works -- 4 A Proposition of 3DIHDV-H0P Algorithm -- 5 Simulation "]
[{"$nulls":4},"Result -- 6 Conclusion -- References -- Online Teaching and Movements -- Online Dance Lesson Support System Using Flipped Classroom -- 1 Introduction -- 2 Related Works -- 3 Preliminary Investigation -- 3.1 Lesson Design -- 3.2 Participants' Impressions -- 4 Proposed Method -- 4.1 On-Demand Lesson: Basic Movement Learning Support Tool -- 4.2 Real-Time Lesson -- 5 Summary and Future Work -- References."]
[{"$nulls":4},"Who Shapes the Network of a Pedagogical Space? Clues from the Movements in the Physical Places -- 1 Introduction -- 2 Related Work -- 2.1 Pedagogical Space -- 2.2 Multimodality in Pedagogical Spaces -- 3 Methods -- 3.1 Measurements -- 3.2 Subject and Research Site -- 3.3 Equipment -- 3.4 Procedure -- 4 Results -- 4.1 Offline Lecture -- 4.2 Online Lecture -- 4.3 Hybrid Lecture -- 5 Discussion -- 6 Conclusion -- References -- Resolving Learners Misunderstandings Using an Adaptive Divide and Correct Technique -- 1 Introduction -- 2 Related Works -- 2.1 Formative Feedback -- 2.2 Feedback Models -- 2.3 Learning Analytic -- 3 Solution Overview -- 3.1 Clustering Similar Misunderstanding -- 3.2 Providing and Verifying Feedback -- 3.3 Estimating Feedback Effectiveness -- 4 Experiments and Results -- 4.1 Experiments Settings -- 4.2 Experiment Scenarios -- 4.3 Results: Performance Analysis -- 4.4 Results: Participants Analysis -- 5 Conclusion and Future Work -- References -- A Stumble Detection Method for Programming with Multi-modal Information -- 1 Introduction -- 2 Related Work -- 3 Proposed Method -- 3.1 Assumed Environment -- 3.2 Stumble Detection Method -- 3.3 Web Editor Implementation for Retrieving Code-Related Metrics -- 4 Evaluation -- 4.1 Procedure -- 4.2 Result -- 5 Conclusion -- References -- Author Index."]