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Advances in Design Engineering II : Proceedings of the XXX International Congress INGEGRAF, 24-25 June, 2021, Valencia, Spain
Advances in Design Engineering II : Proceedings of the XXX International Congress INGEGRAF, 24-25 June, 2021, Valencia, Spain
Autore Cavas Martínez Francisco
Pubbl/distr/stampa Cham : , : Springer International Publishing AG, , 2022
Descrizione fisica 1 online resource (455 pages)
Altri autori (Persone) Peris-FajarnesGuillermo
Morer CamoPaz
Lengua LenguaIsmael
Defez GarcíaBeatriz
Collana Lecture Notes in Mechanical Engineering Ser.
Soggetto genere / forma Electronic books.
ISBN 9783030924263
9783030924256
Formato Materiale a stampa
Livello bibliografico Monografia
Lingua di pubblicazione eng
Record Nr. UNINA-9910512180103321
Cavas Martínez Francisco  
Cham : , : Springer International Publishing AG, , 2022
Materiale a stampa
Lo trovi qui: Univ. Federico II
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Advances in Fabrication and Investigation of Nanomaterials for Industrial Applications
Advances in Fabrication and Investigation of Nanomaterials for Industrial Applications
Autore Krishnamoorthy Sivashankar
Edizione [1st ed.]
Pubbl/distr/stampa Cham : , : Springer International Publishing AG, , 2024
Descrizione fisica 1 online resource (391 pages)
Disciplina 620.115
Altri autori (Persone) IniewskiKrzysztof (Kris)
ISBN 3-031-42700-9
Formato Materiale a stampa
Livello bibliografico Monografia
Lingua di pubblicazione eng
Nota di contenuto Intro -- Contents -- Supersonic Cluster Beam Deposition for the Integration of Functional Nanostructured Films in Devices -- Acronyms -- 1 Introduction -- 2 Supersonic Cluster Beam Deposition -- 2.1 Structure of an SCBD Apparatus -- 2.2 Supersonic Cluster Beam Sources -- 2.3 Sample Manipulation -- 2.4 Hard-Mask Patterning -- 3 Main Properties of Cluster-Assembled Nanostructured Films -- 3.1 Size Distribution -- 3.2 Soft Assembling and Surface Morphology -- 3.3 Electrical Conduction -- 4 Chemoresistive Gas Microsensors -- 4.1 Metal Oxide Gas Sensors -- 4.2 Nanostructured Film Integration on Microhotplates -- 4.3 Outdoor Environmental Testing -- 5 Surfaces for Cell Capture in Oncological Research and Diagnostics -- 5.1 Cell Adhesion on Nanostructured Surfaces -- 5.2 Microfluidic Devices for Fluorescence In Situ Hybridization (FISH) in Onco-hematology -- 5.3 Platforms for the Capture of Circulating Tumor Cells (CTCs) -- 6 Electrodes for Neurorecording and Neuromodulation -- 6.1 Supersonic Cluster Beam Implantation -- 6.2 Flexible and Conformal Electrodes -- 6.3 Clinical Validation in Somatosensory Monitoring -- 7 Plates for Sample Processing by MALDI-MS in Proteomic Clinical Research -- 7.1 Wettability-Controlled Solid-State Wells -- 7.2 Matrix-Sample Mixture Crystallization on Nanostructured Surfaces -- 7.3 On-Plate Sample Processing for 2D-MALDI -- 7.4 Nanostructured Surfaces for MALDI Imaging and Beyond -- 8 Perspectives -- References -- Advances in Colloidal Synthesis of ``Giant'' Core/Thick-Shell Quantum Dots -- 1 Introduction -- 2 Understanding Thick-Shell Growth via SILAR -- 3 Separating the Effects of Nonorthogonal Variables in the Hot-Injection Synthesis of Giant CdTe/CdS -- 3.1 Systematic Study of Reaction [NP] -- 3.2 Separating the Effects of OA and [NP] -- 3.3 Variation of Optimal Parameters with Increasing Shell Thickness.
3.4 Insights into the Shelling Reaction Mechanism -- 3.5 Additional Synthesis Considerations -- 4 Conclusions -- References -- Emerging Trends in Nanotechnology for Forensic Science -- 1 Introduction -- 2 Nanostructured Materials and Nanocomposites -- 2.1 Molecular Structure and Properties -- 2.2 Application in Forensic Science -- 3 Advances in Electrospun Polymer Nanofibers -- 3.1 Electrospinning Technique: Concepts -- 3.2 Preparation of Polymer Nanofibers for Latent Fingerprint Development -- 3.3 Fluorescent Sensors for Explosive Detection -- 4 Concluding Remarks -- References -- Nanoparticles-Induced Alignment of Nematic Liquid Crystals for Tunable Electro-Optical Devices -- 1 Introduction -- 2 Conventional Methods to Align Liquid Crystals -- 3 Nanoparticles-Induced LC Alignment -- 3.1 Isotropic NPs-Induced Alignment of NLCs -- 3.2 Anisotropic NPs-Induced Alignment of NLCs -- 3.3 Induced Alignment of NLCs by Deposition of Isotropic NPs on Substrates -- 3.4 Induced Alignment of NLCs by Deposition of Anisotropic NPs on Substrates -- 4 Conclusion and Future Perspectives -- References -- Photoelectrochemical Immunosensor for Carcinoembryonic Antigen Detection: An Attempt for Early Cancer Screening -- 1 Introduction -- 2 Experimental Method -- 3 Experimental Data -- 3.1 Brunner-Immet-Teller Analysis -- 3.2 Morphology Analysis -- 3.3 Optical Characteristics -- 3.4 Mechanism Discussion -- 3.5 Photoelectric Performance Analysis -- 3.6 Optimization of Experimental Conditions -- 3.7 Detection of CEA -- 3.8 Specificity, Stability, and Reproducibility -- 3.9 Actual Sample Detection -- 4 Tester Model Construction -- 5 Conclusions -- References -- Scanning Photodielectric Spectroscopy of CdZnTe Crystals -- 1 Introduction -- 2 Scanning Photoelectric Spectroscopy Without Additional Impact on the Semiconductor.
3 Scanning Photoelectric Spectroscopy Under Impact of Bias Electric Field -- 3.1 Spectral Distribution of the Photodielectric Effect and Energy Spectrum of Localized States at Various Bias Voltages -- 3.2 The Schottky Barrier in the Region of Illuminated Electrode: The Condition for the Effect of the Barrier on the Results of Measurements -- 3.3 Energy Spectrum of Localized States at Opposite Bias Polarities -- 3.3.1 The Bias Is Absent -- 3.3.2 The Bias Is Applied -- 3.3.3 Various Effects of the Bias Voltage on the Localized States -- 4 Scanning Photodielectric Spectroscopy of Crystals with Additional Non-monochromatic Illumination -- 5 Conclusion -- References -- Photoinduced Electron Transfer Dynamics in Hybrid Quantum Dot/Molecular Catalyst Systems for Artificial Photosynthesis -- 1 Introduction -- 2 Artificial Photosynthesis -- 2.1 Quantum Dots as Light-Harvesting Materials -- 3 Electron Transport Dynamics in Hybrid QD/Catalyst Systems -- 4 Concluding Remarks -- References -- Interparticle Charge Transport Enhances Electrochemiluminescence of Quantum Dots -- 1 Introduction -- 2 Experimental -- 2.1 Chemicals and Reagents -- 2.2 Apparatus and Measurements -- 2.3 Synthesis and Preparation -- 2.3.1 CdSe-OA QDs -- 2.3.2 CdSe-S2− QDs -- 2.3.3 CdSe Aerogel -- 2.3.4 CdTe-MPA QDs -- 2.3.5 CdTe-S2− QDs -- 2.3.6 CdSe-CdTe Mixed Aerogel -- 3 Results and Discussion -- 3.1 Characterization of CdSe QDs and Aerogel -- 3.1.1 Structure and Specific Surface -- 3.1.2 Morphology and Optical Properties -- 3.1.3 Electrochemistry and ECL Properties -- 3.2 Characterization of CdSe-CdTe Mixed Aerogel -- 3.2.1 Structure and Morphology -- 3.2.2 ECL Properties and Mechanism -- 3.3 Experimental and Theoretical Results -- 4 Conclusions -- References -- Optical Structural and Phonon Characteristics of Epitaxially Grown II -VI/III -V Films and Superlattices -- 1 Introduction.
2 Experimental -- 2.1 Bridgman-Grown Cd1-xZnxTe Ternary Alloys -- 2.2 MBE Growth of CdTe/InSb (001) Epifilms -- 2.3 FIR Reflectivity and Raman Scattering Measurements -- 2.3.1 FIR Reflectivity of Cd1-xZnxTe Alloys and CdTe/InSb Epilayers -- 2.3.2 Raman Scattering Measurements -- 2.4 Spectroscopic Ellipsometry -- 2.5 Time-Resolved Photoluminescence -- 2.6 High-Resolution HR-SXAS Results of CdTe/InSb (001) Epifilms -- 3 Theoretical -- 3.1 Spectroscopic Ellipsometry -- 3.2 Refractive Index 0mu mumu nnequationn and Dielectric Function 0mu mumu equation -- 3.3 FIR Reflectivity of Binary Compounds, Epilayers, and Superlattices -- 3.4 Lattice Dynamics and Thermal Properties -- 3.5 Phonon and Thermodynamical Properties -- 4 Numerical Calculation Results and Discussions -- 4.1 Lattice Dynamics -- 4.2 Model Dielectric Functions -- 4.2.1 MDFs for FIR =→ MIR Energy Range -- 4.2.2 FTIR Spectra of Bulk Cd1-xZnxTe Alloys -- 4.2.3 FTIR Spectra of CdTe/GaAs, ZnTe/GaAs, and Cd1-xZnxTe/GaAs Epifilms and (CdTe)m/(ZnTe)n/GaAs Superlattices -- 4.2.4 Near Normal Incidence FIR Spectra of CdTe/InSb Epifilms -- 4.2.5 FIR at Oblique Incidence for CdTe/InSb Epifilms and Superlattices -- 4.3 MDF's Near-IR =→ UV Energy Range -- 4.3.1 Optical Constants in the NIR-UV Region -- 4.3.2 Reflectivity and Transmission Spectra of Thin Epifilms -- 4.3.3 Reflectivity/Transmission: Thickness Dependence -- 4.4 Analysis of SR-XAS Data for Cd1-xZnxTe and CdTe/InSb Epifilms -- 4.4.1 EXAFS Study for Local Structure in CZT Alloys -- 4.4.2 EXAFS Study for Local Structure in CdTe/InSb Epifilms -- 5 Conclusions -- References -- Defect Engineering in Epitaxially Grown Cd(Zn)Te Thin Films on Lattice-Mismatch Substrates -- 1 Introduction -- 1.1 Overview of II-VI HgCdTe and Cd(Zn)Te Semiconductors and Their Applications -- 1.2 Limitations of the HgCdTe-CZT-Based IR Technology.
1.3 Advantages and Challenges in Heteroepitaxy of (Hg)Cd(Zn)Te Films on Alternative Substrates -- 2 Strained CdTe/CdZnTe Superlattice-Based Dislocation Filtering Layers (DFL) -- 2.1 Working Principle of DFL -- 2.2 Structure Design of CdTe DFL Buffer Layers and the MBE Growth -- 2.3 Dislocation Filtering Effect -- 3 Structural and Optical analysis of the CdTe DFL Buffer Layers [34] -- 3.1 XRD Characterizations -- 3.2 Correlation Between Structural/Growth Parameters and Dislocation Filtering Efficiency -- 3.3 Optical Properties of the CdTe Buffer Layers -- 4 Conclusions -- References -- Defect-Influenced Modeling of Photophysics in Lead-Based Hybrid and All-Inorganic Perovskites -- 1 Introduction -- 2 Absorption -- 3 Carrier Dynamics -- 4 Low Excitation Intensities -- 5 Intermediate Excitation Intensities -- 6 High Excitation Intensities -- 7 Emission Quantum Yields -- 8 Conclusions -- References -- Charge Carrier Dynamics of Halide Perovskite Nanocrystals: Application Toward X-Ray/Gamma-Ray Radiation Detection -- 1 Introduction -- 2 Basics of Charge Carrier Transport -- 2.1 Optical Bandgap and Electron-Hole Pair Creation Energy -- 2.2 Defects, Doping, and Crystal Structures -- 2.3 Bulk Single Crystals vs. Nanocrystal Thin Films -- 2.4 Radiative vs. Non-radiative -- 3 Mobility Characterization Methods -- 3.1 Contact-Required Methods -- 3.2 Contact-Free Techniques -- 4 Discussion of the Reported Carrier Mobility -- 5 Perovskite Nanocrystals for Scintillation X-Ray Detection -- 6 Conclusions and Future Development -- References -- Development of Thallium-Based Semiconductors and Scintillators for High Energy Radiation Detection -- 1 Introduction -- 2 Tl-Based Semiconductor Detector Materials -- 2.1 TlBr (Thallium Bromide) -- 2.2 TlPbI3 (Thallium Lead Iodide) -- 3 Tl-Based Scintillator Detector Materials.
3.1 Class A: Tl2ALX6 Elpasolites with/Without Ce+ Doping.
Record Nr. UNINA-9910842282803321
Krishnamoorthy Sivashankar  
Cham : , : Springer International Publishing AG, , 2024
Materiale a stampa
Lo trovi qui: Univ. Federico II
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Advances in Fuzzy Integral and Differential Equations
Advances in Fuzzy Integral and Differential Equations
Autore Allahviranloo Tofigh
Pubbl/distr/stampa Cham : , : Springer International Publishing AG, , 2021
Descrizione fisica 1 online resource (226 pages)
Altri autori (Persone) SalahshourSoheil
Collana Studies in Fuzziness and Soft Computing Ser.
Soggetto genere / forma Electronic books.
ISBN 3-030-73711-X
Formato Materiale a stampa
Livello bibliografico Monografia
Lingua di pubblicazione eng
Record Nr. UNINA-9910497105903321
Allahviranloo Tofigh  
Cham : , : Springer International Publishing AG, , 2021
Materiale a stampa
Lo trovi qui: Univ. Federico II
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Advances in Information and Communication : Proceedings of the 2024 Future of Information and Communication Conference (FICC), Volume 3
Advances in Information and Communication : Proceedings of the 2024 Future of Information and Communication Conference (FICC), Volume 3
Autore Arai Kohei
Edizione [1st ed.]
Pubbl/distr/stampa Cham : , : Springer International Publishing AG, , 2024
Descrizione fisica 1 online resource (721 pages)
Collana Lecture Notes in Networks and Systems Series
ISBN 3-031-54053-0
Formato Materiale a stampa
Livello bibliografico Monografia
Lingua di pubblicazione eng
Record Nr. UNINA-9910845088403321
Arai Kohei  
Cham : , : Springer International Publishing AG, , 2024
Materiale a stampa
Lo trovi qui: Univ. Federico II
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Advances in Information and Communication : Proceedings of the 2024 Future of Information and Communication Conference (FICC), Volume 2
Advances in Information and Communication : Proceedings of the 2024 Future of Information and Communication Conference (FICC), Volume 2
Autore Arai Kohei
Edizione [1st ed.]
Pubbl/distr/stampa Cham : , : Springer International Publishing AG, , 2024
Descrizione fisica 1 online resource (675 pages)
Collana Lecture Notes in Networks and Systems Series
ISBN 3-031-53963-X
Formato Materiale a stampa
Livello bibliografico Monografia
Lingua di pubblicazione eng
Record Nr. UNINA-9910845089103321
Arai Kohei  
Cham : , : Springer International Publishing AG, , 2024
Materiale a stampa
Lo trovi qui: Univ. Federico II
Opac: Controlla la disponibilità qui
Advances in Information and Communication : Proceedings of the 2024 Future of Information and Communication Conference (FICC), Volume 1
Advances in Information and Communication : Proceedings of the 2024 Future of Information and Communication Conference (FICC), Volume 1
Autore Arai Kohei
Edizione [1st ed.]
Pubbl/distr/stampa Cham : , : Springer International Publishing AG, , 2024
Descrizione fisica 1 online resource (735 pages)
Collana Lecture Notes in Networks and Systems Series
ISBN 3-031-53960-5
Formato Materiale a stampa
Livello bibliografico Monografia
Lingua di pubblicazione eng
Nota di contenuto Intro -- Preface -- Organization -- Contents -- Using ChatGPT-4 to Grade Open Question Exams -- 1 Introduction -- 2 Methodology -- 2.1 Description of the Exam Used in the Experiment -- 2.2 Grading the Exam Using ChatGPT-4 -- 3 Results and Analysis -- 3.1 ChatGPT Grading Compared to a Lecturer -- 3.2 Feedback from ChatGPT -- 3.3 Advantages of Using ChatGPT for Grading -- 4 Discussion -- 5 Conclusion -- References -- Usable Security: Cultural Impacts on Graphical Passwords Usability -- 1 Introduction -- 2 Literature Review -- 3 Methodology -- 3.1 Participants and Procedures -- 4 Results -- 5 Discussion -- 5.1 Performance Expectancy (PE) -- 5.2 Effort Expectancy (EE) -- 5.3 Facilitating Conditions (FC) -- 6 Conclusion and Future Work -- References -- Eye Disease Prediction Using Ensemble Learning and Attention on OCT Scans -- 1 Introduction -- 2 Related Work -- 3 Research Methodology -- 3.1 Data Collection and Preprocessing -- 3.2 U-Net Model for Segmentation -- 3.3 Self-Attention Mechanism -- 3.4 Ensemble Model Construction -- 3.5 Web-Application Module -- 4 Result and Analysis -- 5 Conclusion -- References -- Complementing Robotic Process Automation with Generative Artificial Intelligence (ChatGPT), Case of Robocorp -- 1 Introduction -- 1.1 RQ: Can GAI Products (like ChatGPT) be used Together with RPA to Improve Business Processes? -- 2 Literature Review -- 2.1 AI -- 2.2 GAI -- 2.3 ChatGPT -- 2.4 RPA -- 3 Study Design -- 3.1 Case Study Approach and Selection -- 3.2 Case Company - Robocorp -- 4 Results and Discussion -- 4.1 Efficiency of DevOps Team -- 4.2 Capabilities of Automation Solutions -- 5 Conclusions and Future Research -- References -- Architectural Scalability of Conversational Chatbot: The Case of ChatGPT -- 1 Introduction -- 2 ChatGPT and Its Architecture -- 2.1 Transformer Architecture -- 3 Challenges in Scaling ChatGPT.
4 Scaling Techniques in ChatGPT -- 4.1 Parallel Processing -- 4.2 Distributed Training -- 4.3 Mixed Precision Training -- 4.4 Gradient Checkpointing -- 5 Analyze the Scalability of ChatGPT on Different Cloud Platforms -- 5.1 Vertical and Horizontal Scaling -- 5.2 AWS and ChatGPT -- 5.3 Google Cloud and ChatGPT -- 5.4 Microsoft Azure with ChatGPT -- 5.5 Use Cases for ChatGPT in Cloud Computing -- 6 Conclusion -- References -- Hybrid Approach Involving Genetic Algorithm and Hill Climbing to Resolve the Timetable Scheduling for a University -- 1 Introduction -- 2 Literature Review -- 3 Constraints -- 3.1 Hard Constraints -- 3.2 Soft Constraints -- 4 Proposed Solution -- 4.1 Genetic Algorithm Methodology -- 4.2 Hill Climbing Algorithm Methodology -- 5 Experimental Setup -- 6 Results -- 7 Discussion -- 8 Limitations -- 9 Conclusion -- References -- Chatbots: An Overview of Current Issues and Challenges -- 1 Introduction and Motivation -- 2 Theoretical Background -- 3 Related Works and Problem Statement -- 4 Methodology and Implementation -- 5 Discussion and Interpretation of Results -- 6 Limitations and Further Research -- 7 Conclusion -- References -- Text Simplification System for Legal Contract Review -- 1 Introduction -- 2 Review of Related Literature -- 3 Materials and Methods -- 3.1 System Overview -- 3.2 Automated Contract Review -- 3.3 Lexical Simplification -- 3.4 Syntactic Simplification -- 3.5 Readability Metrics -- 3.6 Readability Metrics Evaluation -- 3.7 Human Evaluation -- 4 Results and Discussion -- 4.1 Automated Contract Review -- 4.2 Text Simplification Clauses -- 4.3 Readability Metric Scores -- 4.4 Human Evaluation -- 4.5 Comparison of LegalBERT and LegalBERT-Contract -- 5 Conclusion and Future Work -- References -- Audio-Based Detection of Anxiety and Depression via Vocal Biomarkers -- 1 Introduction -- 2 Data -- 2.1 Audio Recordings.
2.2 Voice Activity Detector -- 2.3 Annotation: Self-assessment GAD-7 and PHQ-8 Scores -- 3 General Approach and Measures of Success -- 4 Features -- 4.1 Supra-Segmental Features -- 4.2 Frame-/Segment-Level Features -- 5 Experiments and Results -- 5.1 Shallow Models and Supra-Segmental Features -- 5.2 Deep Models and Frame-Level Features -- 6 Conclusions -- References -- Automatic Detection and Spline-Based Pixel-Length Estimation of Fishes from Images -- 1 Introduction -- 2 Related Work -- 3 Dataset -- 4 Methodology -- 5 Results and Discussion -- 6 Conclusion -- References -- Evaluation of Systematic Errors in Visual Question Answering -- 1 Introduction -- 2 Related Work -- 3 Visual Question Answering Network -- 4 Analysis -- 5 Evaluation -- 6 Results -- 7 Discussion -- 8 Conclusion -- References -- Exploring Robot Morphology Spaces Through Breadth-First Search and Random Query -- 1 Introduction -- 2 Evolution+Learning -- 2.1 Robot Phenotype -- 2.2 Robot Genotype -- 2.3 Query Mechanisms -- 2.4 Learning Algorithm -- 2.5 Task and Fitness Function -- 3 Experimental Setup -- 4 Results -- 4.1 Robot Performance -- 4.2 Robot Morphologies -- 5 Conclusions and Future Work -- References -- Involvement of Domain Experts in the AI Training Does not Affect Adherence: An AutoML Study -- 1 Introduction -- 2 Related Literature -- 3 Experiment -- 4 Experimental Results -- 4.1 Demographic and Descriptive Statistics -- 4.2 Main Analysis -- 4.3 Discussion of Experimental Results -- 5 Conclusion -- Appendix A: Additional Tables and Graphics -- Appendix B: Experimental Instructions (Active Involvement Group Exemplary) -- Scenario -- Malfunction Probability -- Support by an AI -- Procedure -- Payoffs -- Additional Remarks -- Appendix C: Questionnaire -- References -- AI and IoT Architecture Based on Markov Blankets -- 1 Introduction -- 2 Scope of the Work.
3 Previous Works -- 4 Free Energy Principle -- 5 The Markov Blanket (MB) -- 6 Our Proposed AI Architecture for IoT -- 6.1 Complex Environment Management -- 7 DA Definition -- 7.1 Context -- 7.2 Communication -- 7.3 Functions -- 8 Computational Modelling for Digital Agent -- 8.1 Phenomenological Layer (PL) -- 8.2 CognitiveLayer (CL) -- 9 DA's Structure -- 9.1 PL Flow -- 10 CL as a Markov Blankets Network -- 10.1 Formalization -- 10.2 CL Communication -- 11 Formal Ontology Alignment Definition -- 12 Conclusion -- 12.1 Networks of MBs -- References -- Data Related Challenges to Deploying ML Systems in Production: An Example from Sewer Inspection -- 1 Introduction -- 2 Challenges in Deploying ML Systems -- 3 Sewer-AI: ML Based Diagnosis of Sewer Conditions -- 4 Means of Avoiding and Overcoming Data Challenges -- 5 Conclusion -- References -- Transformers in Medical Domain: Swin Transformer as a Binary Classification Model for Pneumonia -- 1 Introduction -- 2 Related Work -- 3 Transformers -- 3.1 Architecture Overview -- 4 Swin Transformer -- 4.1 Network Architecture -- 5 Methodology -- 5.1 Dataset -- 5.2 Binary Classification -- 5.3 Vision Transformer -- 5.4 Deep Learning Model -- 5.5 Evaluation Metrics -- 5.6 Classification Accuracy -- 5.7 Logarithmic Loss -- 5.8 Confusion Matrix -- 5.9 Area Under Curve (AUC) -- 5.10 Receiver Operating Charactier (ROC) Curve -- 5.11 Precision -- 5.12 Recall -- 6 Results -- 6.1 Classification Accuracy -- 6.2 Logarithmic Loss -- 6.3 Confusion Matrix -- 6.4 Area Under the Curve (AUC) -- 6.5 Receiver Operating Charactier (ROC) Curve -- 6.6 Precision -- 6.7 Recall -- 7 Discussions -- 8 Conclusion -- References -- Exceptional Mixed Real-Time Service Performance by Unleashing the Potential of 802.11 WLAN Technologies -- 1 Background -- 2 Related Work -- 3 Preliminaries -- 4 Proposed Selection Algorithm.
4.1 The Model of Mathematical Computations -- 5 Discussion and Performance Evaluation -- 5.1 A Real Time Applications Combination Working with 50% VoIP and 50% VC -- 6 Conclusion and Future Work -- References -- LTE SFBC MIMO Transmitter Modelling and Performance Evaluation -- 1 Introduction -- 2 SFBC MIMO in LTE -- 2.1 LTE Downlink Reference Signal Structure -- 2.2 OFDMA in the Downlink -- 2.3 MIMO in LTE -- 2.4 Transmit Diversity Schemes in LTE Downlink -- 2.5 Space Frequency Block Coding -- 2.6 Frequency Switched Transmit Diversity -- 3 SFBC Transmitter Modelling and Performance Evaluation -- 3.1 Methodology -- 3.2 Model Design -- 3.3 Design Criteria -- 4 Results and Discussion -- 4.1 By Varying the QAM Order -- 4.2 Varying the Radio Environment -- 5 Conclusions -- References -- Prediction Error-Based Model Predictive Control for Resource Allocation of 5G Ultra-reliable Low-Latency Communication -- 1 Introduction -- 2 Related Work -- 3 Research Problem -- 4 Resource Allocation Problem Formulation -- 5 MPC-Based Algorithm -- 6 Numerical Simulations -- 6.1 Stationary Incoming Traffic -- 6.2 Dynamic Incoming Traffic -- 6.3 Discussions -- 7 Conclusion -- References -- Traffic Prediction of Real Network Traffic Data with LSTM Neural Networks -- 1 Introduction -- 2 Related Work -- 3 Long Short-Term Memory Neural Networks (LSTM) -- 4 Experimental Setup and Used Methods -- 4.1 Network Traffic Data -- 4.2 Baseline Methods for Traffic Prediction -- 4.3 LSTM with Keras -- 4.4 Configuration of Traffic Prediction Scenario -- 4.5 Evaluation Measures -- 4.6 Anomaly Detection -- 5 Results and Discussion -- 5.1 Traffic in Total Bytes (Summarized in 10min) -- 5.2 Traffic per Client and Service Group (Summarized in 1min) -- 6 Conclusion and Future Work -- References.
Comparative Study on Satellite-Based SAR Image Representation for Detection of Landslides and Sediment Disasters Caused by Rainfall.
Record Nr. UNINA-9910845500703321
Arai Kohei  
Cham : , : Springer International Publishing AG, , 2024
Materiale a stampa
Lo trovi qui: Univ. Federico II
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Advances in Information and Communication Technology : Proceedings of the 2nd International Conference ICTA 2023, Volume 2
Advances in Information and Communication Technology : Proceedings of the 2nd International Conference ICTA 2023, Volume 2
Autore Nghia Phung Trung
Edizione [1st ed.]
Pubbl/distr/stampa Cham : , : Springer International Publishing AG, , 2024
Descrizione fisica 1 online resource (478 pages)
Altri autori (Persone) ThaiVu Duc
ThuyNguyen Thanh
SonLe Hoang
HuynhVan-Nam
Collana Lecture Notes in Networks and Systems Series
ISBN 3-031-50818-1
Formato Materiale a stampa
Livello bibliografico Monografia
Lingua di pubblicazione eng
Nota di contenuto Intro -- Organization -- Keynotes -- Exploitation of Electronic Medical Records -- Advancing Slope Land Disaster Monitoring and Alert Systems through Synergistic IoT and AI Integration -- Audio/Speech Information Hiding Based on Human Auditory Characteristics -- Research on Intrusion Detection on Host Devices -- Acknowledgements -- About This Book -- Contents -- About the Editors -- Electronics -- A Closely Spaced Multi-element Self-Isolated MIMO Antenna Array -- 1 Introduction -- 2 Antenna Design -- 2.1 Decoupling Mechanism -- 2.2 Antenna Structure -- 3 Antenna Operation Characteristics -- 4 Conclusion -- References -- A Comparative of Positive Real Truncation and H-Infinity Reduction Techniques for Model Simplification in Electrical Circuits and Power Systems -- 1 Introduction -- 2 Positive Real Balancing-Based Order Reduction Algorithm, Preserving Passivity -- 3 Algorithm for Model Reduction of Unstable Systems Based on H-Infinity Truncation -- 4 Performance Evaluation of PRR and HBR for Model Reduction -- 5 Conclusion -- References -- A Low Noise 10-Bit 59.41dB SNR SAR ADC Using Chopper Comparator for Biomedical Applications -- 1 Introduction -- 2 Comparator Architecture -- 3 Capacitive in SAR ADC 10-Bit -- 4 Simulation Results -- 5 Conclusion -- References -- Approach New Framework of Compressive Sensing Based Secret Sharing in Wireless Sensor Network: Theory and Applications -- 1 Introduction -- 2 Background of CS -- 2.1 Sparse Data Presentation -- 2.2 Measurement Matrices and CS Measurements -- 2.3 Data Recovery Algorithms -- 3 Proposed Methods: CS Based Secret Sharing (C3S) -- 3.1 Data Collection Schemes Utilizing CS -- 3.2 Using Random Seeds to Create CS Measurements -- 3.3 Using Random Seeds to Reconstruct Data -- 3.4 Discussion About the Advantages and Disadvantages of the Proposed Framework -- 4 Some Simulation Results.
5 Conclusions and Future Work -- References -- Design and Implementation of a Natural Respiratory Rate Monitoring System Using Flex and Inertial Sensors on Medium-Power Microcontrollers -- 1 Introduction -- 2 Research Methods -- 2.1 Data Analytics -- 2.2 Noise Filter -- 2.3 Respiratory Rate Determination Algorithm -- 2.4 Human Activity Recognition Model -- 3 Results -- 4 Discussion -- 5 Conclusion -- References -- Design of 1 × 4 Microstrip Patch MIMO Antenna for 5G Applications -- 1 Introduction -- 2 Antenna Design -- 3 Antenna Characteristic -- 3.1 Decoupling Mechanism -- 3.2 Antenna Performances -- 4 Conclusion -- References -- GPRS Based Health Monitoring System -- 1 Introduction -- 2 Proposed System -- 2.1 Description of the System -- 2.2 Liquid Crystal Display -- 2.3 Schematic Description -- 2.4 Bit Modes -- 2.5 GPRS for the Health Monitoring System -- 2.6 Temperature Sensors -- 2.7 Experimental Results -- 2.8 Conclusion -- References -- Model Reduction Techniques for Circuits: Positive Real Balancing and Stochastic Balancing Comparison -- 1 Introduction -- 2 Positive Real Balancing-Based Order Reduction Algorithm, Preserving Passivity -- 3 Stochastic Balancing-Based Order Reduction Algorithm, Preserving Minimum Phase -- 4 Implementation and Comparison of PRR and SBR -- 5 Conclustion -- References -- Non-Invasive Feature Selection for Intrusion Detection Systems in the Internet of Things -- 1 Introduction -- 2 Data and Preprocessing -- 3 Method -- 3.1 Intelligent Algorithms -- 3.2 Feature Transformation and Variable Selection -- 3.3 Performance Validation -- 4 Results and Discussions -- 4.1 Performance Validation -- 4.2 Proposed IDS Design and Comparisons -- 5 Conclusions -- References -- Piggyback-Based Collaborative Resource Selection in C-V2X -- 1 Introduction -- 2 Related Work -- 3 Semi-Persistent Scheduling.
4 Channel Congestion Due to Aperiodic Traffic Generation -- 5 Piggyback-Based Resource Allocation in C-V2X -- 6 Conclusion -- References -- Speeding Up SIFT for Faster Feature-Based UAV Visual Localization -- 1 Introduction -- 2 Related Work -- 3 Methodology -- 3.1 Pre-Processing Map and UAV Image -- 3.2 Limit Searching Area for Keypoints -- 3.3 Using PCA to Reduce the Dimension of the Vector Descriptor -- 4 Experimental Results -- 4.1 Dataset -- 4.2 Results -- 5 Conclusion -- References -- The Using of Real Part Component to Enhance Performance of MVDR Beamformer -- 1 Introduction -- 2 Robust MVDR Beamformer -- 3 The Principles of MVDR Beamformer -- 4 The Using of Real Part Component -- 5 Experiments -- 6 Conclusion -- References -- Control and Automation -- A Case Study on the Kinematics Analysis of a Self-Stabilizing Dual-Wheeled Mobile Robot -- 1 Introduction -- 2 Kinematic Model -- 3 Modeling and Control of the Robot -- 4 Results and Discussion -- References -- A Finite-Time Recursion-Based Tracking Control for Under-Actuated Autonomous Underwater Vehicles -- 1 Introduction -- 2 System Description and Control Objectives -- 2.1 UAUV's Mathematical Model -- 2.2 System Seperation and Control Objective -- 3 Methodology -- 3.1 Tracking Error State Modification -- 3.2 Kinematic Controller Design -- 3.3 Kinetic Controller Design -- 4 Numerical Results -- 5 Conclusion and Future Work -- References -- A Reinforcement Learning Method for Control Scheme of Permanent Magnet Synchronous Motor -- 1 Introduction -- 2 Reinforcement Learning Based Control Structure -- 3 Simulation Results -- 4 Conclusion -- References -- An Effective Intelligent Control Strategy for the Inverted Pendulum System on a Cart Applies a Hierarchical Sliding Mode Control Technique Combined with an Adaptive RBF Neural Network -- 1 Introduction -- 2 Mathematical Model.
3 Intelligent Control Strategy -- 3.1 Hierarchical Sliding Mode Control (HSMC) -- 3.2 Intelligent Control Using Adaptive RBF Artificial Neural Network -- 4 Algorithm Simulation Results -- 4.1 Scenario 1: The System Without External Disturbances and Unchanged Model Parameters -- 4.2 Scenario 2: The System with External Disturbances and Changes in Model Parameters -- 5 Conclusions -- References -- Design and Control of an Unmanned Aerial Vehicle (Quadcopter) for Agriculture -- 1 Introduction -- 2 Quadcopter System Modeling -- 2.1 Linearized Models -- 2.2 Control Designing -- 2.3 Control System Simulation -- 3 Test Results -- 4 Conclusion -- References -- Design and Simulation of PID-Based Control System for UAV Quadcopters -- 1 Introduction -- 2 Dynamic Modelling for a Quadcopter -- 3 Controller Design for Quadcopter -- 4 Simulation Results -- 5 Conclusions and Future Work -- References -- Development of Traffic Congestion Prediction Solution Using Cellular Neural Network Technology -- 1 Introduction -- 2 Traffic Congestion Problem and Solutions -- 2.1 A Mathematical Model of the Problem -- 2.2 Simulation Results -- 3 Propose a Model to Handle Traffic Forecasting Problem in a City -- 4 Design a CNN Circuit for the Problem -- 4.1 Cellular Neural Network Technology (CNN Technology) -- 4.2 Design the CNN Chip for Solving Traffic Equation -- 5 Conclusion -- References -- Optimal Design of Hedge-Algebras-Based Controller for Active Suspension Systems with Parameter Uncertainty -- 1 Introduction -- 2 The Quarter-Car Active Suspension Model -- 3 Control Design -- 4 Numerical Simulations -- 5 Conclusions -- References -- Optimizing Cooling Loads, Taking into Account Compensation Costs for Users, Temperature Factors, and Distributed Energy Sources -- 1 Introduction -- 2 System Structure and Cost Factors -- 2.1 System Structure.
2.2 Electricity Procurement Costs and Benefits of Selling Electricity -- 2.3 Compensation Strategy for Meeting User's Demand -- 3 ACL Model and Distributed Energy Sources -- 3.1 ACL Model -- 3.2 The Distributed Energy Source Model - Wind Power -- 4 Optimization Model -- 5 Results and Discussion -- References -- Path Tracking Control Approach and Processing Lumped Disturbances for AGV in Recent Years: an Overview -- 1 Introduction -- 2 Survey of Tracking Control Algorithms -- 2.1 PID (Proportional-Intergral-Derivative) -- 2.2 Backstepping Technique -- 2.3 Fuzzy Logic Control and Neural Network -- 2.4 SMC (Sliding Mode Control) -- 2.5 MPC (Model Predictive Control) -- 2.6 Handling External Disturbances and Model Parameter Uncertainties -- 3 Related Notes -- 4 Strength, Weakness, and Application Areas -- 5 Conclusion -- Appendix -- References -- Radial Basis Function Neural Network Based Fractional Order Sliding Mode Control for Planar Flexible-Joint Robot 2-Dof -- 1 Introduction -- 2 Mathetical Model -- 3 Research Methods -- 3.1 Fraction Math -- 3.2 Radial Network RBF -- 3.3 Adaptive Fractional Order Sliding Controller Based on RBF -- 4 Simulation Results -- 4.1 Simulation Scenario -- 4.2 Results and Comparison -- 5 Conclusion -- References -- Stabilizing Control for an Inverted Eccentric Pendulum System -- 1 Introduction -- 2 Mathematical Model -- 3 Control Objectives and Design -- 4 Simulation -- 5 Conclusion -- References -- Multimedia -- A Lightweight Attention Model for Face Recognition -- 1 Introduction -- 2 Methodology -- 2.1 Attention Modules -- 2.2 Proposed Network -- 3 Experiment -- 3.1 Dataset -- 3.2 Implementation Detail -- 3.3 Performance and Analysis -- 4 Conclusion -- References -- Assessment of Video Transmission Delay from a Telemetry Surveillance System -- 1 Introduction -- 2 Architecture of Remote Telemetry Surveillance System.
3 Research Methodology and Experimentation.
Record Nr. UNINA-9910799241603321
Nghia Phung Trung  
Cham : , : Springer International Publishing AG, , 2024
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Advances in Integrated Pest Management Technology : Innovative and Applied Aspects
Advances in Integrated Pest Management Technology : Innovative and Applied Aspects
Autore Tanda Amarjit S
Pubbl/distr/stampa Cham : , : Springer International Publishing AG, , 2022
Descrizione fisica 1 online resource (497 pages)
Disciplina 632.9
ISBN 9783030949495
9783030949488
Formato Materiale a stampa
Livello bibliografico Monografia
Lingua di pubblicazione eng
Record Nr. UNINA-9910586577903321
Tanda Amarjit S  
Cham : , : Springer International Publishing AG, , 2022
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Advances in Intelligent Automation and Soft Computing
Advances in Intelligent Automation and Soft Computing
Autore Li Xiaolong
Pubbl/distr/stampa Cham : , : Springer International Publishing AG, , 2021
Descrizione fisica 1 online resource (1317 pages)
Collana Lecture Notes on Data Engineering and Communications Technologies Ser.
Soggetto genere / forma Electronic books.
ISBN 3-030-81007-0
Formato Materiale a stampa
Livello bibliografico Monografia
Lingua di pubblicazione eng
Record Nr. UNINA-9910497091103321
Li Xiaolong  
Cham : , : Springer International Publishing AG, , 2021
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Advances in Intelligent Networking and Collaborative Systems : The 13th International Conference on Intelligent Networking and Collaborative Systems (INCoS-2021)
Advances in Intelligent Networking and Collaborative Systems : The 13th International Conference on Intelligent Networking and Collaborative Systems (INCoS-2021)
Autore Barolli Leonard
Pubbl/distr/stampa Cham : , : Springer International Publishing AG, , 2021
Descrizione fisica 1 online resource (351 pages)
Altri autori (Persone) ChenHsing-Chung
MiwaHiroyoshi
Collana Lecture Notes in Networks and Systems Ser.
Soggetto genere / forma Electronic books.
ISBN 3-030-84910-4
Formato Materiale a stampa
Livello bibliografico Monografia
Lingua di pubblicazione eng
Nota di contenuto Intro -- Welcome Message from the INCoS-2021 Organizing Committee -- INCoS-2021 Organizing Committee -- Honorary Chairs -- General Co-chairs -- Programme Co-chairs -- International Advisory Committee -- International Liaison Co-chairs -- Award Co-chairs -- Web Administrator Co-chairs -- Local Arrangement Co-chairs -- Finance Chair -- Steering Committee Chair -- Track Areas and PC Members -- Track 1: Data Mining, Machine Learning and Collective Intelligence -- Track Co-chairs -- TPC Members -- Track 2: Intelligent Systems and Knowledge Management -- Track Co-chairs -- TPC Members -- Track 3: Wireless and Sensor Systems for Intelligent Networking and Collaborative Systems -- Track Co-chairs -- TPC Members -- Track 4: Service-Based Systems -- Track Co-chairs -- TPC Members -- Track 5: Networking Security and Privacy -- Track Co-chairs -- TPC Members -- Track 6: Big Data Analytics for Learning, Networking and Collaborative Systems -- Track Co-chairs -- TPC Members -- Track 7: Cloud Computing: Services, Storage, Security and Privacy -- Track Co-chairs -- TPC Members -- Track 8: Social Networking and Collaborative Systems -- Track Co-chairs -- TPC Members -- Track 9: Intelligent and Collaborative Systems for e-Health -- Track Co-chairs -- TPC Members -- Track 10: Big Data Analytics for Learning, Networking and Collaborative Systems -- Track Co-chairs -- TPC Members -- INCoS-2021 Reviewers -- INCoS-2021 Keynotes -- Big Data Management for Data Streams -- Convergence of Broadcast and Broadband in 5G Era -- Contents -- Performance Comparison of CM and LDVM Router Replacement Methods for WMNs by WMN-PSOSA-DGA Hybrid Simulation System Considering Stadium Distribution of Mesh Clients -- 1 Introduction -- 2 Proposed and Implemented Simulation System -- 2.1 Velocities and Positions of Particles -- 2.2 Routers Replacement Methods -- 2.3 DGA Operations.
2.4 Fitness and Migration Functions -- 2.5 Particle-Pattern and Gene Coding -- 3 Simulation Results -- 4 Conclusions -- References -- Effects of Augmented Reality Markers for Networked Robot Navigation -- 1 Introduction -- 2 Welfare Robot Navigation System -- 3 Experiments on Planar AR Markers -- 3.1 Geometrical Measurement -- 3.2 Identification Accuracy in Terms of Markers' Feature Points -- 4 Conclusion -- References -- Algorithm Based on Local Search Method for Examination Proctors Assignment Problem Considering Various Constraints -- 1 Introduction -- 2 Previous Research -- 3 Examination Proctors Assignment Problem -- 4 Local Search Algorithm -- 5 Performance Evaluation -- 6 Conclusion -- References -- Bio-inspired VM Introspection for Securing Collaboration Platforms -- 1 Introduction -- 2 Security and Privacy in Collaboration Platforms -- 3 Artificial Immune System Based Intrusion Detection -- 3.1 Negative Selection Algorithm -- 4 Proposed Security Approach -- 5 Experimental Evaluation -- 6 Conclusions -- References -- Artificial Intelligence-Based Early Prediction Techniques in Agri-Tech Domain -- 1 Introduction -- 2 Research Objectives -- 3 A Case of Study: Early Warning Prediction of Mastitis -- 4 Conclusions -- References -- Automatic Measurement of Acquisition for COVID-19 Related Information -- 1 Introduction -- 2 CORD-19 -- 3 CORD-19 Applications -- 4 NLP Pipeline in Python -- 5 Conclusions -- References -- Algorithms for Mastering Board Game Nanahoshi Considering Deep Neural Networks -- 1 Introduction -- 2 Previous Research -- 3 Game AI for Nanahoshi Using Game Tree Search -- 3.1 Game Tree Search -- 3.2 Monte Carlo Tree Search -- 4 Game Tree Search Using Deep Learning -- 4.1 Basic Idea of Game Tree Search Using Deep Learning -- 4.2 Monte Carlo Tree Search Using Deep Learning -- 5 Performance Evaluation -- 6 Conclusion -- References.
Revealing COVID-19 Data by Data Mining and Visualization -- 1 Introduction -- 2 Related Works -- 3 Our Data Science Solution -- 3.1 Data Collection -- 3.2 Data Preprocessing -- 3.3 Data Mining and Visualization -- 4 Evaluation -- 5 Conclusions -- References -- An Approach to Enhance Academic Ranking Prediction with Augmented Social Perception Data -- 1 Introduction -- 2 Related Work -- 3 Data and Methodology -- 3.1 Data Collection -- 3.2 Data Preparation -- 4 Results -- 4.1 Exploratory Data Analysis -- 4.2 Correlation Analysis -- 4.3 Predictive Model -- 5 Discussion -- 6 Conclusion -- References -- A Fuzzy-Based System for User Service Level Agreement in 5G Wireless Networks -- 1 Introduction -- 2 Software-Defined Networks (SDNs) -- 3 Outline of Fuzzy Logic -- 3.1 Linguistic Variables -- 3.2 Fuzzy Control Rules -- 3.3 Defuzzificaion Method -- 4 Proposed Fuzzy-Based System -- 5 Simulation Results -- 6 Conclusions and Future Work -- References -- Cognitive Approach for Creation of Visual Security Codes -- 1 Introduction -- 2 Cognitive Solutions in Security Technologies -- 3 An Idea of Visual Security Codes -- 4 Conclusions -- References -- Transformative Computing Based on Advanced Human Cognitive Processes -- 1 Introduction -- 2 Advanced Human Cognitive Processes in Data Interpretation -- 3 New Transformative Computing Value Based on Cognitive Processes -- 4 Conclusions -- References -- Topology as a Factor in Overlay Networks Designed to Support Dynamic Systems Modeling -- 1 Introduction -- 2 Overlay Network -- 3 Network Topologies and Graph Models of Networks -- 4 What Constitutes a Good Overlay Network Topology? -- 4.1 Hypercube -- 4.2 Toroidal Grid Graph -- 4.3 Kautz Graph -- 5 Example of an Overlay Topology to Support a Mobile Application -- 6 Work in Progress -- 7 Conclusion -- References.
A Genetic Algorithm for Parallel Unmanned Aerial Vehicle Scheduling: A Cost Minimization Approach -- 1 Introduction -- 2 Problem Formulation -- 2.1 Notation -- 3 Methodology -- 3.1 Genetic Algorithm (GA) -- 3.2 Genetic Algorithm with Job Delay Mechanism -- 4 Result and Discussion -- 5 Conclusions and Future Research -- References -- A Movement Adjustment Method for DQN-Based Autonomous Aerial Vehicle -- 1 Introduction -- 2 DQN Based AAV Testbed -- 2.1 Quadrotor for AAV -- 2.2 DQN for AAV Mobility -- 3 Proposed Method -- 3.1 TLS-DQN -- 3.2 Movement Adjustment Method -- 4 Performance Evaluation -- 4.1 Simulation Results of TLS-DQN -- 4.2 Results of Movement Adjustment Method -- 5 Conclusions -- References -- A Self-learning Clustering Protocol in Wireless Sensor Networks for IoT Applications -- 1 Introduction -- 2 A Self-learning Clustering Protocol in WSN-IoT -- 2.1 Network Model -- 2.2 Energy Consumption Model -- 2.3 The Self-learning Clustering Protocol (SLCP) -- 3 Performance Evaluation -- 3.1 Simulation Environment -- 3.2 Simulation Results -- 4 Conclusions -- References -- The Effect of Agents' Diversities on the Running Time of the Random Walk-Based Rendezvous Search -- 1 Introduction -- 2 Random Walk on a Network -- 3 Random Walk-Based Rendezvous Search(RRS) -- 3.1 Overview -- 3.2 Procedure of a Random Walk Agent -- 3.3 Characteristics -- 4 Experiment -- 4.1 Procedures of Experiment -- 4.2 The Effect of Agents' Diversity About Starting Times on the Running Time of RRS -- 4.3 The Effect of the Difference of Agents' Stochastic Rules for Selecting Adjacent Nodes on the Running Time -- 4.4 The Effect of the Agents' Diversity About Frequencies of Moving Agents on the Running Time -- 5 Conclusion and Future Work -- References.
A Study on Designing Autonomous Decentralized Method of User-Aware Resource Assignment in Large-Scale and Wide-Area Networks -- 1 Introduction -- 2 System Model -- 3 Design -- 3.1 Formularization of Assignment Problem and Its Stochastic Solution -- 3.2 Autonomous Action of Entities -- 3.3 Macroscopic Characteristics and Solving Multi-objective Problem -- 4 Experiment -- 4.1 Setting -- 4.2 Comparison -- 4.3 Result -- 5 Conclusion and Future Work -- References -- Social Media Data Misuse -- 1 Introduction -- 2 Social Media Data Misuse -- 3 Facebook Data Misuse -- 4 Twitter Data Misuse -- 5 Instagram Data Misuse -- 6 LinkedIn Data Misuse -- 7 Approaches to Restrict Social Media Data Misuse -- 8 Conclusion -- References -- Deep Learning Approaches to Detect Real Time Events Recognition in Smart Manufacturing Systems - A Short Survey -- 1 Introduction -- 1.1 The Advantages of a Data Driven Industry 4.0 -- 2 Deep Learning for Real Time Events Recognition -- 3 Conclusions -- References -- A Comparison Study of CM and RIWM Router Replacement Methods for WMNs Considering Boulevard Distribution of Mesh Clients -- 1 Introduction -- 2 Proposed and Implemented Simulation System -- 2.1 Particle Swarm Optimization -- 2.2 Distributed Genetic Algorithm -- 2.3 WMN-PSODGA Hybrid Simulation System -- 3 Simulation Results -- 4 Conclusions -- References -- Consideration of Presentation Timing in Bicycle Navigation Using Smart Glasses -- 1 Introduction -- 2 Smart Glasses -- 3 Presentation Timing Evaluation Experiment -- 3.1 Experiment Purpose -- 3.2 Experiment Environment -- 3.3 Experiment Conditions -- 3.4 Experiment Procedure -- 3.5 Experiment Results -- 3.6 Consideration -- 4 Conclusion -- References -- Graph Convolution Network for Urban Mobile Traffic Prediction -- 1 Introduction -- 2 Problem Formulation -- 3 Traffic Prediction Algorithm -- 4 Performance Evaluation.
5 Conclusion.
Altri titoli varianti Advances in Intelligent Networking and Collaborative Systems
Record Nr. UNINA-9910497081903321
Barolli Leonard  
Cham : , : Springer International Publishing AG, , 2021
Materiale a stampa
Lo trovi qui: Univ. Federico II
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