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Biblioteca

MARC Lista (tabellare)
Advances in model and data engineering in the digitalization era : MEDI 2022 short papers and DETECT 2022 workshop papers, Cairo, Egypt, November 21-24, 2022, proceedings / / Philippe Fournier-Viger, editor
Advances in model and data engineering in the digitalization era : MEDI 2022 short papers and DETECT 2022 workshop papers, Cairo, Egypt, November 21-24, 2022, proceedings / / Philippe Fournier-Viger, editor
Edizione [1st ed. 2022.]
Pubbl/distr/stampa Cham, Switzerland : , : Springer, , [2022]
Descrizione fisica 1 online resource (227 pages)
Disciplina 005.74
Collana Communications in Computer and Information Science
Soggetto topico Databases
Software engineering
ISBN 3-031-23119-8
Formato Materiale a stampa
Livello bibliografico Monografia
Lingua di pubblicazione eng
Nota di contenuto Image processing and diagnosis -- Machine Learning and Optimization -- Machine Learning and Optimization -- Modelling -- Database systems -- Applications -- DETECT Workshop: modeling, verification and testing of dependable critical systems.
Record Nr. UNISA-996508667103316
Cham, Switzerland : , : Springer, , [2022]
Materiale a stampa
Lo trovi qui: Univ. di Salerno
Opac: Controlla la disponibilità qui
Advances in Model and Data Engineering in the Digitalization Era : MEDI 2022 Short Papers and DETECT 2022 Workshop Papers, Cairo, Egypt, November 21–24, 2022, Proceedings / / edited by Philippe Fournier-Viger, Ahmed Hassan, Ladjel Bellatreche, Ahmed Awad, Abderrahim Ait Wakrime, Yassine Ouhammou, Idir Ait Sadoune
Advances in Model and Data Engineering in the Digitalization Era : MEDI 2022 Short Papers and DETECT 2022 Workshop Papers, Cairo, Egypt, November 21–24, 2022, Proceedings / / edited by Philippe Fournier-Viger, Ahmed Hassan, Ladjel Bellatreche, Ahmed Awad, Abderrahim Ait Wakrime, Yassine Ouhammou, Idir Ait Sadoune
Edizione [1st ed. 2022.]
Pubbl/distr/stampa Cham : , : Springer Nature Switzerland : , : Imprint : Springer, , 2022
Descrizione fisica 1 online resource (227 pages)
Disciplina 005.74
005.1
Collana Communications in Computer and Information Science
Soggetto topico Software engineering
Computer science - Mathematics
Artificial intelligence
Computer engineering
Computer networks
Data structures (Computer science)
Information theory
Application software
Software Engineering
Mathematics of Computing
Artificial Intelligence
Computer Engineering and Networks
Data Structures and Information Theory
Computer and Information Systems Applications
ISBN 3-031-23119-8
Formato Materiale a stampa
Livello bibliografico Monografia
Lingua di pubblicazione eng
Nota di contenuto Image processing and diagnosis -- Machine Learning and Optimization -- Machine Learning and Optimization -- Modelling -- Database systems -- Applications -- DETECT Workshop: modeling, verification and testing of dependable critical systems.
Record Nr. UNINA-9910640378203321
Cham : , : Springer Nature Switzerland : , : Imprint : Springer, , 2022
Materiale a stampa
Lo trovi qui: Univ. Federico II
Opac: Controlla la disponibilità qui
Big Data Analytics [[electronic resource] ] : 7th International Conference, BDA 2019, Ahmedabad, India, December 17–20, 2019, Proceedings / / edited by Sanjay Madria, Philippe Fournier-Viger, Sanjay Chaudhary, P. Krishna Reddy
Big Data Analytics [[electronic resource] ] : 7th International Conference, BDA 2019, Ahmedabad, India, December 17–20, 2019, Proceedings / / edited by Sanjay Madria, Philippe Fournier-Viger, Sanjay Chaudhary, P. Krishna Reddy
Edizione [1st ed. 2019.]
Pubbl/distr/stampa Cham : , : Springer International Publishing : , : Imprint : Springer, , 2019
Descrizione fisica 1 online resource (466 pages)
Disciplina 005.7
Collana Information Systems and Applications, incl. Internet/Web, and HCI
Soggetto topico Data mining
Artificial intelligence
Application software
Database management
Data Mining and Knowledge Discovery
Artificial Intelligence
Information Systems Applications (incl. Internet)
Database Management
ISBN 3-030-37188-3
Formato Materiale a stampa
Livello bibliografico Monografia
Lingua di pubblicazione eng
Nota di contenuto Big Data Analytics: Vision and Perspectives -- Transforming Sensing Data into Smart Data for Smart Sustainable Cities -- Deep Learning Models for Medical Image Analysis: Challenges and Future Directions -- Recent Advances and Challenges in design of Non-Goal Oriented Dialogue System -- Data Cube is Dead, Long Life to Data Cube in the Age of Web Data -- Search and Information Extraction -- Improving Result Diversity using Query Term Proximity in Exploratory Search -- Segment-search vs Knowledge Graphs: Making a Keyword Search Engine for Web Documents -- Pairing Users in Social Media via Processing Meta-data from Conversational Files -- Large-Scale Information Extraction from Emails with Data Constraints -- Comparative Analysis of Rule-based, Dictionary-based and Hybrid Stemmers for Gujarati Language -- Predictive Analytics in Medical and Agricultural Domains -- Artificial Intelligence and Bayesian Knowledge Network in Health Care – Smartphone Apps for diagnosis and differentiation of anemias with higher accuracy at Resource Constrained Point-of-Care settings -- Analyzing Domain Knowledge for Big Data Analysis: A Case Study with Urban Tree Type Classification -- Market Intelligence for Agricultural Commodities using Forecasting and Deep Learning Techniques -- Graph Analytics -- TKG: Efficient Mining of Top-K Frequent Subgraphs -- Why Multilayer Networks Instead Of Simple Graphs? Modeling Effectiveness And Analysis Flexibility & Efficiency! -- Gossip Based Distributed Real Time Task Scheduling with Guaranteed Performance on Heterogeneous Networks -- Data-Driven Optimization of Public Transit Schedule -- Pattern Mining -- Discovering Spatial High Utility Frequent Itemsets in Spatiotemporal Databases -- Efficient Algorithms For Flock Detection in Large Spatio-Temporal Data -- Local Temporal Compression for (Globally) Evolving Spatial Surfaces -- An Explicit Relationship between Sequential Patterns and their Concise Representations -- Machine Learning -- A novel approach to identify the determinants of online review helpfulness and predict the helpfulness score across product categories -- Analysis and Recognition of Hand-drawn Images with Effective Data Handling -- Real Time Static Gesture Detection Using Deep Learning -- Interpreting Context of Images using Scene Graphs -- Deep Learning in the Domain of Near-Duplicate Document Detection.
Record Nr. UNISA-996466188103316
Cham : , : Springer International Publishing : , : Imprint : Springer, , 2019
Materiale a stampa
Lo trovi qui: Univ. di Salerno
Opac: Controlla la disponibilità qui
Big Data Analytics : 7th International Conference, BDA 2019, Ahmedabad, India, December 17–20, 2019, Proceedings / / edited by Sanjay Madria, Philippe Fournier-Viger, Sanjay Chaudhary, P. Krishna Reddy
Big Data Analytics : 7th International Conference, BDA 2019, Ahmedabad, India, December 17–20, 2019, Proceedings / / edited by Sanjay Madria, Philippe Fournier-Viger, Sanjay Chaudhary, P. Krishna Reddy
Edizione [1st ed. 2019.]
Pubbl/distr/stampa Cham : , : Springer International Publishing : , : Imprint : Springer, , 2019
Descrizione fisica 1 online resource (466 pages)
Disciplina 005.7
006.312
Collana Information Systems and Applications, incl. Internet/Web, and HCI
Soggetto topico Data mining
Artificial intelligence
Application software
Database management
Data Mining and Knowledge Discovery
Artificial Intelligence
Information Systems Applications (incl. Internet)
Database Management
ISBN 3-030-37188-3
Formato Materiale a stampa
Livello bibliografico Monografia
Lingua di pubblicazione eng
Nota di contenuto Big Data Analytics: Vision and Perspectives -- Transforming Sensing Data into Smart Data for Smart Sustainable Cities -- Deep Learning Models for Medical Image Analysis: Challenges and Future Directions -- Recent Advances and Challenges in design of Non-Goal Oriented Dialogue System -- Data Cube is Dead, Long Life to Data Cube in the Age of Web Data -- Search and Information Extraction -- Improving Result Diversity using Query Term Proximity in Exploratory Search -- Segment-search vs Knowledge Graphs: Making a Keyword Search Engine for Web Documents -- Pairing Users in Social Media via Processing Meta-data from Conversational Files -- Large-Scale Information Extraction from Emails with Data Constraints -- Comparative Analysis of Rule-based, Dictionary-based and Hybrid Stemmers for Gujarati Language -- Predictive Analytics in Medical and Agricultural Domains -- Artificial Intelligence and Bayesian Knowledge Network in Health Care – Smartphone Apps for diagnosis and differentiation of anemias with higher accuracy at Resource Constrained Point-of-Care settings -- Analyzing Domain Knowledge for Big Data Analysis: A Case Study with Urban Tree Type Classification -- Market Intelligence for Agricultural Commodities using Forecasting and Deep Learning Techniques -- Graph Analytics -- TKG: Efficient Mining of Top-K Frequent Subgraphs -- Why Multilayer Networks Instead Of Simple Graphs? Modeling Effectiveness And Analysis Flexibility & Efficiency! -- Gossip Based Distributed Real Time Task Scheduling with Guaranteed Performance on Heterogeneous Networks -- Data-Driven Optimization of Public Transit Schedule -- Pattern Mining -- Discovering Spatial High Utility Frequent Itemsets in Spatiotemporal Databases -- Efficient Algorithms For Flock Detection in Large Spatio-Temporal Data -- Local Temporal Compression for (Globally) Evolving Spatial Surfaces -- An Explicit Relationship between Sequential Patterns and their Concise Representations -- Machine Learning -- A novel approach to identify the determinants of online review helpfulness and predict the helpfulness score across product categories -- Analysis and Recognition of Hand-drawn Images with Effective Data Handling -- Real Time Static Gesture Detection Using Deep Learning -- Interpreting Context of Images using Scene Graphs -- Deep Learning in the Domain of Near-Duplicate Document Detection.
Record Nr. UNINA-9910364954403321
Cham : , : Springer International Publishing : , : Imprint : Springer, , 2019
Materiale a stampa
Lo trovi qui: Univ. Federico II
Opac: Controlla la disponibilità qui
High-Utility Pattern Mining : Theory, Algorithms and Applications / / edited by Philippe Fournier-Viger, Jerry Chun-Wei Lin, Roger Nkambou, Bay Vo, Vincent S. Tseng
High-Utility Pattern Mining : Theory, Algorithms and Applications / / edited by Philippe Fournier-Viger, Jerry Chun-Wei Lin, Roger Nkambou, Bay Vo, Vincent S. Tseng
Edizione [1st ed. 2019.]
Pubbl/distr/stampa Cham : , : Springer International Publishing : , : Imprint : Springer, , 2019
Descrizione fisica 1 online resource (343 pages)
Disciplina 006.312
Collana Studies in Big Data
Soggetto topico Computational intelligence
Artificial intelligence
Data mining
Computational Intelligence
Artificial Intelligence
Data Mining and Knowledge Discovery
ISBN 3-030-04921-3
Formato Materiale a stampa
Livello bibliografico Monografia
Lingua di pubblicazione eng
Nota di contenuto Introduction -- Problem Definition -- Algorithms -- Extensions of the Problem -- Research Opportunities -- Open-Source Implementations -- Conclusion.
Record Nr. UNINA-9910739480503321
Cham : , : Springer International Publishing : , : Imprint : Springer, , 2019
Materiale a stampa
Lo trovi qui: Univ. Federico II
Opac: Controlla la disponibilità qui
Machine intelligence and soft computing : proceedings of ICMISC 2021 / / edited by Debnath Bhattacharyya, Sanjoy Kumar Saha, Philippe Fournier-Viger
Machine intelligence and soft computing : proceedings of ICMISC 2021 / / edited by Debnath Bhattacharyya, Sanjoy Kumar Saha, Philippe Fournier-Viger
Pubbl/distr/stampa Singapore : , : Springer, , [2022]
Descrizione fisica 1 online resource (198 pages)
Disciplina 060
Collana Advances in Intelligent Systems and Computing
Soggetto topico Artificial intelligence
ISBN 981-16-8363-8
981-16-8364-6
Formato Materiale a stampa
Livello bibliografico Monografia
Lingua di pubblicazione eng
Nota di contenuto Intro -- Conference Committee Members -- Preface -- Contents -- About the Editors -- Hybrid Fruit Fly Optimization for EHR Applications in Cloud Environments for Load Balancing Optimization -- 1 Introduction -- 2 Literature Survey -- 3 Proposed Methodology -- 3.1 Technology Requirements -- 3.2 Implementation -- 4 Results -- 5 Conclusion -- References -- Distributed Machine Learning-An Intuitive Approach -- 1 Introduction -- 2 Challenges with Machine Learning Computing -- 3 What to Distribute? -- 4 How to Distribute? -- 5 Challenges in Distribution -- 6 Case Study: Support Vector Machine -- 7 Conclusions -- References -- Prediction of Wall Street Through AI Approach -- 1 Introduction -- 2 Literature Survey -- 3 Methodology -- 3.1 Yahoo Finance -- 3.2 Dataset Input -- 3.3 Data Visualization -- 3.4 Algorithms Used for Prediction -- 3.5 Performance Evaluation -- 4 Conclusion -- References -- A Hybrid Intelligent Approach for Early Identification of Different Diseases in Plants -- 1 Introduction -- 1.1 Types of Diseases in Classification -- 2 Related Work -- 3 Proposed Work -- 4 Feature Extraction -- 5 Role of Clustering and Classification -- 6 Algorithm -- 7 Results and Discussion -- 8 Conclusion -- References -- Analyzing Comments on Social Media with XG Boost Mechanism -- 1 Introduction -- 1.1 Sentiment Analysis Techniques -- 1.2 Lexicon Based Approach -- 1.3 Comparison -- 2 Literature Review -- 3 Results and Discussions -- 4 Conclusion -- References -- Distributed Edge Learning in Emerging Virtual Reality Systems -- 1 Introduction -- 2 Literature Review -- 3 Method -- 3.1 VR Systems -- 3.2 MEC -- 3.3 A Model for VR Systems Based on Edge Computing -- 3.4 Simulation Analysis -- 4 Results and Discussions -- 4.1 Comparison of Task Offloading Performance Among Models -- 5 Conclusion -- References.
A Review on Deep Learning-Based Object Recognition Algorithms -- 1 Introduction -- 2 Literature Review -- 3 Results and Analysis -- 4 Conclusion and Future Work -- References -- A Study on Human-Machine Interaction in Banking Services During COVID-19 -- 1 Introduction -- 1.1 Research Problem -- 1.2 Objectives of the Study -- 1.3 Research Methodology -- 2 Review of Literature -- 3 Theoretical Framework -- 3.1 What Are Human-Machine Interactions? -- 3.2 Advantages of HMI [16] -- 3.3 Disadvantages of Human-Machine Interface [16] -- 4 Results and Discussions -- 5 Conclusion -- References -- A Study on Review of Application of Blockchain Technology in Banking Industry -- 1 Introduction -- 2 What is a Blockchain? -- 2.1 What is Distributed Ledger Technology? [3] -- 2.2 Transaction in Blockchain -- 2.3 Growth in Blockchain Technology -- 3 Applications of Blockchain in Various Sectors -- 4 Blockchain in Banking -- 5 Banks Adopting Blockchain Technology -- 6 Results and Discussion -- 7 Conclusion -- References -- Face Expression Recognition in Video Using Hybrid Feature Extractor and CNN-LSTM -- 1 Introduction -- 2 Related Work -- 2.1 Literature Review -- 3 Methodology -- 3.1 Preprocessing of Video and Face Detection -- 3.2 Extraction of the Hybrid Features -- 3.3 FER Using Hybrid CNN-LSTM Classifier -- 4 Results and Discussion -- 4.1 Evaluation Metrics -- 4.2 Result Analysis -- 5 Conclusion -- References -- Two-Node Tandem Communication Networks to Avoid Congestion -- 1 Introduction -- 2 Queuing Model -- 3 Optimal Strategies of the Representation -- 4 Numerical Illustration and Sensitivity Analysis -- 5 Sensitivity Investigation -- 6 Conclusion -- References -- Detection of Fake Profiles in Instagram Using Supervised Machine Learning -- 1 First Section -- 1.1 Proposed Methodology -- 2 Literature Survey -- 2.1 Dataset Information -- 2.2 Data Collection.
2.3 Dataset Annotation -- 3 Experimental Results -- 4 Conclusion -- References -- Review on Space and Security Issues in Cloud Computing -- 1 Introduction -- 2 Cloud Storage Models -- 3 Safety and Security Issues of Cloud Storage Space -- 4 Conclusion -- References -- Anomaly Detection in Solar Radiation Forecasting Using LSTM Autoencoder Architecture -- 1 Introduction -- 2 Literature Survey -- 3 Proposed Work -- 4 Results and Implementation -- 5 Conclusion -- References -- Medical Image Denoising Using Non-Local Means Filtering -- 1 Introduction -- 2 Related Work -- 2.1 Method -- 3 Results -- 4 Conclusion -- References -- Skin Disease Detection Using Machine Learning Techniques -- 1 Introduction -- 2 Related Work Analysis -- 3 Proposed Work -- 3.1 Modules -- 4 Results -- 5 Conclusions -- References -- Detecting False Data Attacks Using KPG-MT Technique -- 1 Introduction -- 2 Related Works -- 3 Proposed System -- 4 Results and Discussions -- 5 Conclusion -- References -- Utilization of Machine Learning Techniques in Pharma -- 1 Introduction -- 2 Disease Diagnosis or Identification of Disease -- 3 The Discovery of Drugs -- 4 The Prediction of Diseases -- 5 Research on Clinical Trials -- 6 Treatment Related to Personnel -- 7 Health Records Storing on Electronic Models -- 8 Conclusion -- References -- New Event Detection for Web Recommendation Using Web Mining -- 1 Introduction -- 2 Literature Review -- 3 Proposed Methodologies -- 4 Conclusion -- References -- An Automatic Convolution Neural Network-Based Framework for Robust Classification of Breast Cancer Histopathological Images -- 1 Introduction -- 2 Literature Survey -- 2.1 Breast Cancer Prediction Using Data Mining Method -- 2.2 By Means of Machine Learning Instrument in Categorization of Breast Cancer.
2.3 Analytic Correctness of Dissimilar Machine Learning Algorithms for Breast Cancer Danger Computation -- 2.4 By Means of Machine Learning Algorithms for Breast Cancer Danger Forecast and Analysis -- 2.5 Machine Learning with Request in Breast Cancer Analysis and Forecast -- 3 System Implementation -- 3.1 Proposed System -- 3.2 Feature Extraction -- 4 Conclusion -- References -- Big Data Analytics Services in Health Care: An Extensive Review -- 1 Introduction -- 2 Related Work -- 2.1 Data Mining in Medical Sector -- 2.2 Privacy Issues of Big Data in the Medical Sector -- 2.3 Privacy Problem Solutions in Medical Sector -- 3 Methodology -- 3.1 Security Measures of Healthcare Using Big Data -- 3.2 Privacy Assessment Model -- 3.3 Architecture -- 4 Experimental Results -- 5 Discussion -- 6 Conclusion -- References -- Facial Expression Recognition Model Using Deep CNN and Hybrid Feature Selection Pre-processing Technique -- 1 Introduction -- 2 Related Work -- 3 Proposed Model -- 3.1 Model Description -- 3.2 Model Data Flow -- 3.3 Proposed Algorithm -- 4 Experimentation and Results -- 4.1 Dataset and Experimental Setup -- 4.2 Graphical Representation of Results -- 4.3 Comparison Table -- References -- Coronavirus (COVID-19) Detection and Classification Using High Resolution Computed Tomography (HR-CT) Imageries -- 1 Introduction -- 2 Methods -- 3 Experimental Results -- 4 Conclusion -- References -- Author Index.
Record Nr. UNINA-9910743350403321
Singapore : , : Springer, , [2022]
Materiale a stampa
Lo trovi qui: Univ. Federico II
Opac: Controlla la disponibilità qui
Model and data engineering : 11th international conference, MEDI 2022, Cairo, Egypt, November 21-24, 2022, proceedings / / Philippe Fournier-Viger, Ahmed Hassan, Ladjel Bellatreche (editors)
Model and data engineering : 11th international conference, MEDI 2022, Cairo, Egypt, November 21-24, 2022, proceedings / / Philippe Fournier-Viger, Ahmed Hassan, Ladjel Bellatreche (editors)
Pubbl/distr/stampa Cham, Switzerland : , : Springer, , [2023]
Descrizione fisica 1 online resource (273 pages)
Disciplina 006.312
Collana Lecture notes in computer science
Soggetto topico Data mining
Software engineering
ISBN 3-031-21595-8
Formato Materiale a stampa
Livello bibliografico Monografia
Lingua di pubblicazione eng
Nota di contenuto Intro -- Preface -- Organization -- Abstracts of Invited Talks -- A Service-Based Approach to Drone Service Delivery in Skyway Networks -- Broad and Deep Learning of Big Heterogeneous Health Data for Medical AI: Opportunities and Challenges -- Contents -- Image Processing and Diagnosis -- Chaos-Based Image Encryption Using DNA Manipulation and a Modified Arnold Transform -- 1 Introduction -- 2 Preliminaries -- 2.1 Hyperchaotic Lorenz System -- 2.2 DNA Coding -- 2.3 Arnold Transform -- 3 Proposed Algorithm -- 3.1 Modified Arnold Transform -- 3.2 Encryption Process -- 3.3 Decryption Process -- 4 Performance Evaluation -- 4.1 Encryption Quality Metrics -- 4.2 Correlation Analysis -- 4.3 Information Entropy -- 4.4 Key Space and Sensitivity Analysis -- 4.5 Robustness Against Differential Attacks -- 5 Conclusion -- References -- Rice Plant Disease Detection and Diagnosis Using Deep Convolutional Neural Networks and Multispectral Imaging -- 1 Introduction -- 2 Literature Review -- 3 Methodology -- 3.1 Hardware Components -- 3.2 Data Collection Mobile Application -- 3.3 Analytics Engine Module -- 4 Experimental Evaluation -- 4.1 Dataset -- 4.2 Training Configuration -- 5 Conclusion -- References -- A Novel Diagnostic Model for Early Detection of Alzheimer's Disease Based on Clinical and Neuroimaging Features -- 1 Introduction -- 2 Materials and Methods -- 2.1 Proposed Model -- 2.2 Dataset -- 2.3 Data Preprocessing -- 2.4 Feature Extraction -- 2.5 Classification Approaches -- 2.6 Performance Evaluation -- 2.7 Performance Optimization -- 3 Results -- 4 Conclusion -- References -- Machine Learning and Optimization -- Benchmarking Concept Drift Detectors for Online Machine Learning -- 1 Introduction -- 2 Background and Related Work -- 2.1 Background -- 2.2 Related Work -- 3 Benchmark Setup -- 3.1 Datasets -- 3.2 Benchmarked Algorithms -- 3.3 Metrics.
4 Results -- 4.1 Drift Detection Accuracy -- 4.2 Runtime -- 4.3 Memory Consumption -- 5 Conclusion and Future Work -- References -- Computational Microarray Gene Selection Model Using Metaheuristic Optimization Algorithm for Imbalanced Microarrays Based on Bagging and Boosting Techniques -- 1 Introduction -- 2 Methodology -- 2.1 Emperor Penguin Optimization (EPO) -- 2.2 Adaptive Synthetic Sampling Approach (ADASYN) -- 2.3 Random Forest Classifier (RF) -- 2.4 EPO for Feature Selection -- 3 Experimental Results and Discussion -- 4 Conclusion -- References -- Fuzzing-Based Grammar Inference -- 1 Introduction -- 2 Preliminaries -- 3 Algorithm -- 3.1 Learning Context-Free Grammars -- 3.2 Example -- 3.3 Application in Grammar-Based Fuzzing -- 4 Experiments and Evaluation -- 5 Related Work -- 6 Conclusion -- References -- Natural Language Processing -- In the Identification of Arabic Dialects: A Loss Function Ensemble Learning Based-Approach -- 1 Introduction -- 2 Related Work -- 3 Dataset -- 4 Methods -- 4.1 Data Preprocessing -- 4.2 Pre-trained Models -- 4.3 Loss Functions -- 4.4 Proposed Ensemble Learning Model -- 5 Results and Discussion -- 5.1 Experimental Results -- 5.2 Discussion -- 6 Conclusion and Future Works -- References -- Emotion Recognition System for Arabic Speech: Case Study Egyptian Accent -- 1 Introduction -- 2 Literature Review -- 3 Methodology -- 3.1 Datasets -- 3.2 Features Extraction -- 3.3 Features Importance -- 3.4 Feature Scaling -- 3.5 Machine Learning Models -- 3.6 Evaluation Metrics -- 4 Results and Discussions -- 4.1 Corpus Survey Analysis -- 4.2 Speech Emotion Recognition Experiments -- 5 Conclusion -- References -- Modelling -- Towards the Strengthening of Capella Modeling Semantics by Integrating Event-B: A Rigorous Model-Based Approach for Safety-Critical Systems -- 1 Introduction -- 2 Related Works and Preliminaries.
2.1 Background -- 2.2 Overview of Capella and Event-B -- 2.3 Motivating Example: Adaptive Exterior Light System -- 3 Proposed Approach -- 3.1 Preparatory Step -- 3.2 Transformation Step -- 4 Tooling -- 5 Conclusion and Future Works -- References -- A Reverse Design Framework for Modifiable-off-the-Shelf Embedded Systems: Application to Open-Source Autopilots -- 1 Introduction -- 2 Background and Work Positioning -- 2.1 COTS and MOTS -- 2.2 Autopilots of Unmanned Aerial Vehicles -- 2.3 UAV Autopilot Design -- 2.4 Reverse Engineering -- 2.5 Capella in a Nutshell -- 3 Model-Based Reverse-Engineering Framework -- 3.1 Overview -- 3.2 Extraction -- 3.3 Visualisation -- 4 The Framework Implementation -- 4.1 Extraction Part -- 4.2 Visualisation Part -- 5 Validation -- 6 Conclusion -- References -- Efficient Checking of Timed Ordered Anti-patterns over Graph-Encoded Event Logs -- 1 Introduction -- 2 Background -- 2.1 Events, Traces, Logs, and Graphs -- 2.2 Activity Order Patterns -- 3 Related Work -- 4 Graph-Encoded Event Logs for Efficient Compliance Checking -- 4.1 Baseline: Multi-dimensional Graph Modeling (BM) -- 4.2 Unique Activities (UA) Encoding -- 5 Evaluation -- 5.1 Implementation and Experimental Setup -- 5.2 Results and Discussion -- 6 Conclusion and Future Work -- References -- Trans-Compiler-Based Database Code Conversion Model for Native Platforms and Languages -- 1 Introduction -- 2 Literature Reviews -- 2.1 Cross-platform Development Approaches -- 2.2 Cross-platform Native-to-Native Tools Supporting Database Conversion -- 3 Background -- 4 Methodology -- 4.1 Proposed Enhanced Methodology -- 4.2 Proposed Enhanced Solution Architecture -- 5 Results and Discussion -- 5.1 The Percentage of the Successful Conversion of Firestore Code -- 5.2 The Improvement of the Overall Conversion Rate for an Entire Application.
5.3 Comparison Between Conversion Runtime Before and After Supporting Firestore Code Conversion -- 6 Conclusion and Future Work -- References -- MDMSD4IoT a Model Driven Microservice Development for IoT Systems -- 1 Introduction -- 2 Related Work -- 3 The MDMSD4IoT Approach -- 3.1 SysML4IoTMSA Profile -- 3.2 IoTMSADev Method -- 3.3 SysML2IoTMSA Code Generator -- 4 A Case Study: UC2SmartClassroom -- 4.1 Modelling Microservices-based IoT Systems -- 4.2 Microservice Architecture Implementation -- 5 Conclusion and Future Work -- References -- Database Systems -- Parallel Skyline Query Processing of Massive Incomplete Activity-Trajectories Data -- 1 Introduction -- 2 Related Work -- 3 DMTR-Tree Index Overview -- 4 Problem Statement of Skyline Trajectory Query -- 5 An Optimized Trajectory Skyline Algorithm -- 5.1 Short Trajectories Class -- 5.2 Long Trajectories Class -- 6 Experimental Evaluation -- 6.1 The Performance of the Run-Time and Trajectory Visited Based on the Activity Keywords Number -- 6.2 The Performance of the Run-Time and Trajectory Visited Based on the Distance Threshold -- 7 Conclusion -- References -- Compact Data Structures for Efficient Processing of Distance-Based Join Queries -- 1 Introduction -- 2 Background and Related Work -- 2.1 Distance-Based Join Queries - KCPQ and DJQ -- 2.2 k2-tree -- 3 Our Approach to DJQs Using k2-trees -- 4 Experimental Results -- 5 Conclusions and Future Work -- References -- Towards a Complete Direct Mapping from Relational Databases to Property Graphs -- 1 Introduction -- 2 Preliminaries -- 2.1 Relational Databases -- 2.2 Property Graphs -- 2.3 SQL Queries and Cypher Queries -- 2.4 Direct Mapping (DM) -- 3 Complete Mapping (CM) -- 3.1 Schema Graph and Instance Graph -- 3.2 Schema Mapping (SM) -- 3.3 Instance Mapping (IM) -- 4 Properties of CM -- 4.1 Information Preservation -- 4.2 Query Preservation.
4.3 Semantic Preservation -- 5 Conclusion and Future Works -- References -- A Matching Approach to Confer Semantics over Tabular Data Based on Knowledge Graphs -- 1 Introduction -- 2 Key Notions -- 3 Literature Review -- 4 The Kepler-aSI Approach -- 4.1 Preprocessing Module -- 4.2 Query Engine Module -- 4.3 External Resource Consultation Module -- 4.4 KG_Candidates Filtering Module -- 4.5 Annotation and File Generation Module -- 5 Kepler-aSI Performance and Results -- 5.1 Round 1 -- 5.2 Round 2 -- 5.3 Round 3 -- 6 Conclusion and Outlooks -- References -- JUpdate: A Temporal Update Language for JSON Data -- 1 Introduction -- 2 Background and Motivation -- 2.1 The JSchema Framework -- 2.2 Motivating Example -- 3 The JUpdate Language -- 3.1 Syntax and Semantics of JUpdate Update HLOs -- 4 Running Example Reprise -- 5 Conclusion -- References -- Author Index.
Record Nr. UNISA-996500062803316
Cham, Switzerland : , : Springer, , [2023]
Materiale a stampa
Lo trovi qui: Univ. di Salerno
Opac: Controlla la disponibilità qui
Model and data engineering : 11th international conference, MEDI 2022, Cairo, Egypt, November 21-24, 2022, proceedings / / Philippe Fournier-Viger, Ahmed Hassan, Ladjel Bellatreche (editors)
Model and data engineering : 11th international conference, MEDI 2022, Cairo, Egypt, November 21-24, 2022, proceedings / / Philippe Fournier-Viger, Ahmed Hassan, Ladjel Bellatreche (editors)
Pubbl/distr/stampa Cham, Switzerland : , : Springer, , [2023]
Descrizione fisica 1 online resource (273 pages)
Disciplina 006.312
Collana Lecture notes in computer science
Soggetto topico Data mining
Software engineering
ISBN 3-031-21595-8
Formato Materiale a stampa
Livello bibliografico Monografia
Lingua di pubblicazione eng
Nota di contenuto Intro -- Preface -- Organization -- Abstracts of Invited Talks -- A Service-Based Approach to Drone Service Delivery in Skyway Networks -- Broad and Deep Learning of Big Heterogeneous Health Data for Medical AI: Opportunities and Challenges -- Contents -- Image Processing and Diagnosis -- Chaos-Based Image Encryption Using DNA Manipulation and a Modified Arnold Transform -- 1 Introduction -- 2 Preliminaries -- 2.1 Hyperchaotic Lorenz System -- 2.2 DNA Coding -- 2.3 Arnold Transform -- 3 Proposed Algorithm -- 3.1 Modified Arnold Transform -- 3.2 Encryption Process -- 3.3 Decryption Process -- 4 Performance Evaluation -- 4.1 Encryption Quality Metrics -- 4.2 Correlation Analysis -- 4.3 Information Entropy -- 4.4 Key Space and Sensitivity Analysis -- 4.5 Robustness Against Differential Attacks -- 5 Conclusion -- References -- Rice Plant Disease Detection and Diagnosis Using Deep Convolutional Neural Networks and Multispectral Imaging -- 1 Introduction -- 2 Literature Review -- 3 Methodology -- 3.1 Hardware Components -- 3.2 Data Collection Mobile Application -- 3.3 Analytics Engine Module -- 4 Experimental Evaluation -- 4.1 Dataset -- 4.2 Training Configuration -- 5 Conclusion -- References -- A Novel Diagnostic Model for Early Detection of Alzheimer's Disease Based on Clinical and Neuroimaging Features -- 1 Introduction -- 2 Materials and Methods -- 2.1 Proposed Model -- 2.2 Dataset -- 2.3 Data Preprocessing -- 2.4 Feature Extraction -- 2.5 Classification Approaches -- 2.6 Performance Evaluation -- 2.7 Performance Optimization -- 3 Results -- 4 Conclusion -- References -- Machine Learning and Optimization -- Benchmarking Concept Drift Detectors for Online Machine Learning -- 1 Introduction -- 2 Background and Related Work -- 2.1 Background -- 2.2 Related Work -- 3 Benchmark Setup -- 3.1 Datasets -- 3.2 Benchmarked Algorithms -- 3.3 Metrics.
4 Results -- 4.1 Drift Detection Accuracy -- 4.2 Runtime -- 4.3 Memory Consumption -- 5 Conclusion and Future Work -- References -- Computational Microarray Gene Selection Model Using Metaheuristic Optimization Algorithm for Imbalanced Microarrays Based on Bagging and Boosting Techniques -- 1 Introduction -- 2 Methodology -- 2.1 Emperor Penguin Optimization (EPO) -- 2.2 Adaptive Synthetic Sampling Approach (ADASYN) -- 2.3 Random Forest Classifier (RF) -- 2.4 EPO for Feature Selection -- 3 Experimental Results and Discussion -- 4 Conclusion -- References -- Fuzzing-Based Grammar Inference -- 1 Introduction -- 2 Preliminaries -- 3 Algorithm -- 3.1 Learning Context-Free Grammars -- 3.2 Example -- 3.3 Application in Grammar-Based Fuzzing -- 4 Experiments and Evaluation -- 5 Related Work -- 6 Conclusion -- References -- Natural Language Processing -- In the Identification of Arabic Dialects: A Loss Function Ensemble Learning Based-Approach -- 1 Introduction -- 2 Related Work -- 3 Dataset -- 4 Methods -- 4.1 Data Preprocessing -- 4.2 Pre-trained Models -- 4.3 Loss Functions -- 4.4 Proposed Ensemble Learning Model -- 5 Results and Discussion -- 5.1 Experimental Results -- 5.2 Discussion -- 6 Conclusion and Future Works -- References -- Emotion Recognition System for Arabic Speech: Case Study Egyptian Accent -- 1 Introduction -- 2 Literature Review -- 3 Methodology -- 3.1 Datasets -- 3.2 Features Extraction -- 3.3 Features Importance -- 3.4 Feature Scaling -- 3.5 Machine Learning Models -- 3.6 Evaluation Metrics -- 4 Results and Discussions -- 4.1 Corpus Survey Analysis -- 4.2 Speech Emotion Recognition Experiments -- 5 Conclusion -- References -- Modelling -- Towards the Strengthening of Capella Modeling Semantics by Integrating Event-B: A Rigorous Model-Based Approach for Safety-Critical Systems -- 1 Introduction -- 2 Related Works and Preliminaries.
2.1 Background -- 2.2 Overview of Capella and Event-B -- 2.3 Motivating Example: Adaptive Exterior Light System -- 3 Proposed Approach -- 3.1 Preparatory Step -- 3.2 Transformation Step -- 4 Tooling -- 5 Conclusion and Future Works -- References -- A Reverse Design Framework for Modifiable-off-the-Shelf Embedded Systems: Application to Open-Source Autopilots -- 1 Introduction -- 2 Background and Work Positioning -- 2.1 COTS and MOTS -- 2.2 Autopilots of Unmanned Aerial Vehicles -- 2.3 UAV Autopilot Design -- 2.4 Reverse Engineering -- 2.5 Capella in a Nutshell -- 3 Model-Based Reverse-Engineering Framework -- 3.1 Overview -- 3.2 Extraction -- 3.3 Visualisation -- 4 The Framework Implementation -- 4.1 Extraction Part -- 4.2 Visualisation Part -- 5 Validation -- 6 Conclusion -- References -- Efficient Checking of Timed Ordered Anti-patterns over Graph-Encoded Event Logs -- 1 Introduction -- 2 Background -- 2.1 Events, Traces, Logs, and Graphs -- 2.2 Activity Order Patterns -- 3 Related Work -- 4 Graph-Encoded Event Logs for Efficient Compliance Checking -- 4.1 Baseline: Multi-dimensional Graph Modeling (BM) -- 4.2 Unique Activities (UA) Encoding -- 5 Evaluation -- 5.1 Implementation and Experimental Setup -- 5.2 Results and Discussion -- 6 Conclusion and Future Work -- References -- Trans-Compiler-Based Database Code Conversion Model for Native Platforms and Languages -- 1 Introduction -- 2 Literature Reviews -- 2.1 Cross-platform Development Approaches -- 2.2 Cross-platform Native-to-Native Tools Supporting Database Conversion -- 3 Background -- 4 Methodology -- 4.1 Proposed Enhanced Methodology -- 4.2 Proposed Enhanced Solution Architecture -- 5 Results and Discussion -- 5.1 The Percentage of the Successful Conversion of Firestore Code -- 5.2 The Improvement of the Overall Conversion Rate for an Entire Application.
5.3 Comparison Between Conversion Runtime Before and After Supporting Firestore Code Conversion -- 6 Conclusion and Future Work -- References -- MDMSD4IoT a Model Driven Microservice Development for IoT Systems -- 1 Introduction -- 2 Related Work -- 3 The MDMSD4IoT Approach -- 3.1 SysML4IoTMSA Profile -- 3.2 IoTMSADev Method -- 3.3 SysML2IoTMSA Code Generator -- 4 A Case Study: UC2SmartClassroom -- 4.1 Modelling Microservices-based IoT Systems -- 4.2 Microservice Architecture Implementation -- 5 Conclusion and Future Work -- References -- Database Systems -- Parallel Skyline Query Processing of Massive Incomplete Activity-Trajectories Data -- 1 Introduction -- 2 Related Work -- 3 DMTR-Tree Index Overview -- 4 Problem Statement of Skyline Trajectory Query -- 5 An Optimized Trajectory Skyline Algorithm -- 5.1 Short Trajectories Class -- 5.2 Long Trajectories Class -- 6 Experimental Evaluation -- 6.1 The Performance of the Run-Time and Trajectory Visited Based on the Activity Keywords Number -- 6.2 The Performance of the Run-Time and Trajectory Visited Based on the Distance Threshold -- 7 Conclusion -- References -- Compact Data Structures for Efficient Processing of Distance-Based Join Queries -- 1 Introduction -- 2 Background and Related Work -- 2.1 Distance-Based Join Queries - KCPQ and DJQ -- 2.2 k2-tree -- 3 Our Approach to DJQs Using k2-trees -- 4 Experimental Results -- 5 Conclusions and Future Work -- References -- Towards a Complete Direct Mapping from Relational Databases to Property Graphs -- 1 Introduction -- 2 Preliminaries -- 2.1 Relational Databases -- 2.2 Property Graphs -- 2.3 SQL Queries and Cypher Queries -- 2.4 Direct Mapping (DM) -- 3 Complete Mapping (CM) -- 3.1 Schema Graph and Instance Graph -- 3.2 Schema Mapping (SM) -- 3.3 Instance Mapping (IM) -- 4 Properties of CM -- 4.1 Information Preservation -- 4.2 Query Preservation.
4.3 Semantic Preservation -- 5 Conclusion and Future Works -- References -- A Matching Approach to Confer Semantics over Tabular Data Based on Knowledge Graphs -- 1 Introduction -- 2 Key Notions -- 3 Literature Review -- 4 The Kepler-aSI Approach -- 4.1 Preprocessing Module -- 4.2 Query Engine Module -- 4.3 External Resource Consultation Module -- 4.4 KG_Candidates Filtering Module -- 4.5 Annotation and File Generation Module -- 5 Kepler-aSI Performance and Results -- 5.1 Round 1 -- 5.2 Round 2 -- 5.3 Round 3 -- 6 Conclusion and Outlooks -- References -- JUpdate: A Temporal Update Language for JSON Data -- 1 Introduction -- 2 Background and Motivation -- 2.1 The JSchema Framework -- 2.2 Motivating Example -- 3 The JUpdate Language -- 3.1 Syntax and Semantics of JUpdate Update HLOs -- 4 Running Example Reprise -- 5 Conclusion -- References -- Author Index.
Record Nr. UNINA-9910631092303321
Cham, Switzerland : , : Springer, , [2023]
Materiale a stampa
Lo trovi qui: Univ. Federico II
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Tracking and Preventing Diseases with Artificial Intelligence
Tracking and Preventing Diseases with Artificial Intelligence
Autore Mehta Mayuri
Pubbl/distr/stampa Cham : , : Springer International Publishing AG, , 2021
Descrizione fisica 1 online resource (266 pages)
Altri autori (Persone) Fournier-VigerPhilippe
PatelMaulika
LinJerry Chun-Wei
Collana Intelligent Systems Reference Library
Soggetto genere / forma Electronic books.
ISBN 3-030-76732-9
Formato Materiale a stampa
Livello bibliografico Monografia
Lingua di pubblicazione eng
Record Nr. UNINA-9910497108003321
Mehta Mayuri  
Cham : , : Springer International Publishing AG, , 2021
Materiale a stampa
Lo trovi qui: Univ. Federico II
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Trends in Artificial Intelligence Theory and Applications. Artificial Intelligence Practices [[electronic resource] ] : 33rd International Conference on Industrial, Engineering and Other Applications of Applied Intelligent Systems, IEA/AIE 2020, Kitakyushu, Japan, September 22-25, 2020, Proceedings / / edited by Hamido Fujita, Philippe Fournier-Viger, Moonis Ali, Jun Sasaki
Trends in Artificial Intelligence Theory and Applications. Artificial Intelligence Practices [[electronic resource] ] : 33rd International Conference on Industrial, Engineering and Other Applications of Applied Intelligent Systems, IEA/AIE 2020, Kitakyushu, Japan, September 22-25, 2020, Proceedings / / edited by Hamido Fujita, Philippe Fournier-Viger, Moonis Ali, Jun Sasaki
Edizione [1st ed. 2020.]
Pubbl/distr/stampa Cham : , : Springer International Publishing : , : Imprint : Springer, , 2020
Descrizione fisica 1 online resource (XVIII, 935 p. 644 illus., 272 illus. in color.)
Disciplina 006.3
Collana Lecture Notes in Artificial Intelligence
Soggetto topico Artificial intelligence
Computers
Computer organization
Optical data processing
Computer science—Mathematics
Data protection
Artificial Intelligence
Information Systems and Communication Service
Computer Systems Organization and Communication Networks
Computer Imaging, Vision, Pattern Recognition and Graphics
Mathematics of Computing
Security
ISBN 3-030-55789-8
Formato Materiale a stampa
Livello bibliografico Monografia
Lingua di pubblicazione eng
Nota di contenuto Natural Language Processing -- Robotics and Drones -- Knowledge Based Systems -- Innovative Applications of Intelligent Systems -- Industrial Applications -- Networking Applications -- Social Network Analysis -- Financial Applications and Blockchain -- Medical and Health-related Applications -- Anomaly Detection and Automated Diagnosis -- Decision-Support and Agent-Based Systems -- Multimedia Applications -- Machine Learning -- Data Management and Data Clustering -- Pattern Mining -- System Control, Classification, and Fault Diagnosis.
Record Nr. UNISA-996418319403316
Cham : , : Springer International Publishing : , : Imprint : Springer, , 2020
Materiale a stampa
Lo trovi qui: Univ. di Salerno
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