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Smart applications and data analysis : 4th international conference, SADASC 2022, Marrakesh, Morocco, September 22-24, 2022, proceedings / / edited by Mohamed Hamlich, [and three others]
| Smart applications and data analysis : 4th international conference, SADASC 2022, Marrakesh, Morocco, September 22-24, 2022, proceedings / / edited by Mohamed Hamlich, [and three others] |
| Pubbl/distr/stampa | Cham, Switzerland : , : Springer, , [2022] |
| Descrizione fisica | 1 online resource (461 pages) |
| Disciplina | 929.605 |
| Collana | Communications in Computer and Information Science |
| Soggetto topico | Computers |
| ISBN | 3-031-20490-5 |
| Formato | Materiale a stampa  |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Nota di contenuto |
Intro -- Preface -- Organization -- Keynote Talks -- Graph Neural Networks: Principles and Models -- Drone-Based Service Delivery in Skyway Networks -- Bringing Order to the Internet of Things: A Search Engine Perspective -- Contents -- AI-Driven Methods 1 -- Detection of COVID-19 in X-Ray Images Using Constrained Multi-view Spectral Clustering -- 1 Introduction -- 2 Related Work -- 2.1 Notations -- 2.2 Related Work -- 2.3 Review of the (NESE) Method -- 3 Proposed Approach -- 3.1 Optimization -- 4 Performance Evaluation -- 4.1 Experimental Setup -- 4.2 Experimental Results -- 4.3 Convergence Study -- 4.4 Parameter Sensitivity -- 5 Conclusion -- References -- Automatic SPECT Image Processing for Parkinson's Disease Early Detection -- 1 Introduction -- 2 Materials and Methods -- 3 Image Processing -- 4 Calculation of Features -- 5 Results and Discussion -- 6 Conclusion -- References -- Graph Convolution Networks for Unsupervised Learning -- 1 Introduction -- 2 Related Work -- 3 Preliminary -- 3.1 Weighted Kernel K-Means and Spectral Clustering -- 3.2 Graph Convolution Network Overview -- 4 The Proposed Method -- 4.1 Model Architecture -- 4.2 Model Loss Function and Clustering -- 5 Experiments -- 5.1 Baselines -- 5.2 Evaluation Metrics and Experimental Setups -- 5.3 Result Analysis -- 6 Conclusion -- References -- Collaborative Kernel Discriminant Analysis for Large Scale Multi Class Problems -- 1 Introduction -- 2 General Learning Framework -- 3 Multi-class Kernel Learning -- 4 Collaborative Kernel Discriminant Analysis -- 4.1 General Framework -- 4.2 The Combining Rules of the Network -- 4.3 Capacity of the Classifiers and Overflow Management -- 5 Experimental Evaluation -- 5.1 Data Sets -- 5.2 Competitors -- 5.3 Influence of the Capacity C -- 5.4 Evaluation on Moderately Size Datasets -- 5.5 Comparative Study with Large Size Datasets.
6 Conclusion and Future Work -- References -- Spectral Clustering Based on a Graph Model for Airspace Sectorization -- 1 Introduction -- 2 Related Work -- 3 Spatial Clustering -- 4 Voronoi Diagram -- 5 Delaunay Triangulation -- 6 Airspace Graph Model -- 6.1 Sub-graphs -- 6.2 Weighted Graph Model -- 6.3 Objective Function -- 7 Spectral Clustering -- 7.1 Graph Laplacian -- 8 Conclusion -- References -- Networking Technologies and IoT -- Solar Charging Station for Electric Vehicles with IoT Solution for Monitoring Energy Production -- 1 Introduction -- 2 Related Works -- 3 Materials and Methods -- 3.1 Description of the Study Area -- 3.2 Calculation of Energy Consumption by Charging Electric Vehicles -- 3.3 Calculation of the Photovoltaic GEnerator's Power -- 3.4 Calculation of the Battery Capacity -- 3.5 Calculation of the Inverter -- 3.6 Monitoring of Energy Production -- 4 Results and Discussion -- 4.1 Theoretical Results -- 4.2 Simulation Results -- 4.3 Economic Study -- 4.4 Design with Blender Software -- 4.5 Firebase Database as Cloud -- 4.6 Software for Monitoring -- 5 Conclusion and Future Works -- References -- Low-Cost Smart Irrigation System Based on Internet of Things and Fuzzy Logic -- 1 Introduction -- 2 Methodology -- 2.1 Smart Irrigation System Architecture -- 2.2 Fuzzy Logic System -- 3 Results -- 4 Conclusion -- References -- AI-Driven Methods 2 -- autoTimeSVD++: A Temporal Hybrid Recommender System Based on Contractive Autoencoder and Matrix Factorization -- 1 Problem Formulation -- 2 Introduction -- 3 Related Work -- 3.1 SVD -- 3.2 Biased-SVD -- 3.3 SVD++ -- 3.4 autoSVD++ -- 4 Our Model -- 4.1 Contractive Autoencoder (CAE) -- 4.2 TimeSVD++ -- 4.3 AutoTimeSVD++ -- 4.4 Optimization -- 5 Experiments -- 5.1 Datasets -- 5.2 Evaluation -- 5.3 Results and Discussions -- 6 Conclusion -- References. Toward a Holistic Public Procurement 4.0. Case Study: Moroccan Public Procurement -- 1 Introduction -- 2 Context of the Study -- 2.1 Digital Transformation in Morocco -- 2.2 Public Procurement -- 2.3 Integrity Issues in Public Procurement -- 3 State of the Art -- 3.1 Procurement and Artificial Intelligence -- 3.2 Procurement and Blockchain -- 3.3 Procurement and Data -- 4 Proposed Approach -- 4.1 General View -- 4.2 Proposed Framework -- 5 Conclusion and Future Works -- References -- Classifiers-Based Personality Disorders Detection -- 1 Introduction -- 2 Related Work -- 3 Our Approach -- 3.1 Approach Overview -- 3.2 Unit Classifiers -- 4 Prototype, Experiments and Results -- 4.1 Datasets -- 4.2 Implemented Classifiers and Conducted Experiments -- 4.3 Clustering and Feature Selection -- 4.4 Clusters Interpretation -- 5 Conclusion -- References -- Green Energy, Computing and Technologies 1 -- Investigation of Different Speed Controllers to Improve the Performance of Vector-Controlled Synchronous Reluctance Motor -- 1 Introduction -- 2 State-Space Mathematical Model of the SynRM -- 3 Basis of SynRM Vector Control -- 4 PI Control Design -- 5 Fuzzy Logic Control Design -- 5.1 Fuzzification -- 5.2 Knowledge Base and Inference Engine -- 5.3 Defuzzification -- 6 Self-Tuning Anti-Windup Control Design -- 7 Results and Discussion -- 8 Conclusion -- References -- Performing Energy-Efficient Motions for Wheeled Mobile Robots by Designing an Orientation Controller -- 1 Introduction -- 2 Methodology -- 2.1 Total Energy Model -- 2.2 Mobile Robot Kinematic Energy -- 2.3 Controller Design -- 2.4 Orientation Models -- 3 Model Implementation and Results -- 4 Conclusion -- References -- Study of Path Optimization of an Electric Vehicle: Case of Morocco -- 1 Introduction -- 2 Background -- 3 Problem Formulation -- 3.1 Electric Vehicles in Morocco -- 3.2 Data Description. 3.3 Vehicle Characteristics -- 3.4 Charging Cost -- 4 Proposed Model and Simulation -- 4.1 Phase 1: Finding the Shortest Path -- 4.2 Phase 2: Cost of Travel -- 5 Results Discussion -- 6 Conclusion -- References -- AI-Driven Methods 3 -- Scalable Meta-Bayesian Based Hyperparameters Optimization for Machine Learning -- 1 Introduction -- 2 Theoretical Background and Related Work -- 2.1 Hyperparameters Optimization -- 2.2 Bayesian Optimization -- 2.3 Functional ANOVA for Assessing Hyperparameters Importance -- 3 Meta-guided Bayesian Optimization -- 4 Evaluation -- 4.1 Experimental Setup -- 4.2 Experimental Results -- 5 Conclusion -- References -- A Novel Graded Multi-label Approach to Music Emotion Recognition -- 1 Introduction -- 2 Music Emotion Classification -- 3 A Graded Multi-label MER Dataset -- 4 Graded Multi-label Classification -- 4.1 GML_DT -- 5 Experiments -- 5.1 Evaluation Metrics -- 5.2 Results -- 6 Conclusion -- References -- Data-Driven Solutions for Electricity Price Forecasting: The Case of EU Improvement Project -- 1 Introduction -- 1.1 Net-Zero Energy Buildings -- 1.2 Concepts Related to NZEBs -- 1.3 Predictive Control of NZEBs -- 2 Literature Review -- 3 Methodology -- 3.1 Accuracy Metrics -- 3.2 Dataset -- 3.3 Machine Learning Solutions -- 3.4 A Deep Learning Solution -- 3.5 Time Series Data -- 4 Results and Comparison -- 5 Conclusion -- References -- Determination of the Probability of Factors Occurrence Impacting Warehouse Planning by Bayesian Networks -- 1 Introduction -- 2 Related Work -- 3 Issue -- 3.1 Diagram of Planning Disruption -- 4 Determination of Probability Factors Affecting a Warehouse Planning Using Bayesian Networks -- 4.1 Principe of Bayesian Networks -- 4.2 The Developed Bayesian Network -- 4.3 Conditional Probability Generation -- 5 Implementation and Results -- 6 Conclusion and Outlook -- References. Green Energy, Computing and Technologies 2 -- Smart Grid Production Cost Optimization by Bellman Algorithm -- 1 Introduction -- 2 Energy Management Strategies in a Microgrid -- 3 Microgrid Cost Model -- 3.1 Cost of the Grid -- 3.2 Cost of the PV and Wind System -- 3.3 Cost of Micro-gas Turbine -- 3.4 Cost of Storage System -- 3.5 Objective Function -- 4 Application of the Optimization Strategy -- 4.1 Bellman Algorithm -- 4.2 Adaptation of the Strategy -- 5 Results and Comparisons -- 6 Conclusion -- References -- Sliding Mode Control of Six-Switch Five-Level Active Neutral Point Clamped (6S-5L-ANPC) -- 1 Introduction -- 2 Circuit Analysis -- 2.1 Topology Description -- 2.2 Modulation Strategy -- 3 Controller Design -- 3.1 Sliding Mode Control -- 3.2 Mathematical Modeling -- 3.3 Control Law -- 4 Simulation Results and Discussions -- 5 Conclusion -- References -- Statistical Analysis of PV-Wind-Battery Hybrid System Energy Efficiency for Green Buildings Power Supply -- 1 Introduction -- 2 Renewable System Hybridization -- 2.1 Photovoltaic System -- 2.2 Permanent Magnet Synchronous Generator -- 2.3 Storage System -- 3 Energy Management System -- 4 System Reliability Analysis -- 5 Conclusions and Future Works -- References -- Energy Management in a Connected DC Microgrid Using Fuzzy Controller -- 1 Introduction -- 2 Energy Management System (Control Strategies) -- 2.1 Rule-Based Management Strategies -- 2.2 Optimization-Based Strategies -- 3 Control and Simulation of a Hybrid Energy System (HES) -- 3.1 Energy Management Method -- 3.2 Control of HES - Management Strategy Based on Fuzzy Rules -- 3.3 Control of PV Panel, Wind Turbine and DC Bus Voltage -- 4 Results and Discussion -- 5 Conclusion -- References -- Case Studies and Cyber-Physical Systems 1 -- Approach for Optimisation Warehouse Storage Areas Based on the Container Storage Problem. 1 Introduction. |
| Record Nr. | UNISA-996503563203316 |
| Cham, Switzerland : , : Springer, , [2022] | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. di Salerno | ||
| ||
Smart applications and data analysis : 4th international conference, SADASC 2022, Marrakesh, Morocco, September 22-24, 2022, proceedings / / edited by Mohamed Hamlich, [and three others]
| Smart applications and data analysis : 4th international conference, SADASC 2022, Marrakesh, Morocco, September 22-24, 2022, proceedings / / edited by Mohamed Hamlich, [and three others] |
| Pubbl/distr/stampa | Cham, Switzerland : , : Springer, , [2022] |
| Descrizione fisica | 1 online resource (461 pages) |
| Disciplina | 929.605 |
| Collana | Communications in Computer and Information Science |
| Soggetto topico | Computers |
| ISBN | 3-031-20490-5 |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Nota di contenuto |
Intro -- Preface -- Organization -- Keynote Talks -- Graph Neural Networks: Principles and Models -- Drone-Based Service Delivery in Skyway Networks -- Bringing Order to the Internet of Things: A Search Engine Perspective -- Contents -- AI-Driven Methods 1 -- Detection of COVID-19 in X-Ray Images Using Constrained Multi-view Spectral Clustering -- 1 Introduction -- 2 Related Work -- 2.1 Notations -- 2.2 Related Work -- 2.3 Review of the (NESE) Method -- 3 Proposed Approach -- 3.1 Optimization -- 4 Performance Evaluation -- 4.1 Experimental Setup -- 4.2 Experimental Results -- 4.3 Convergence Study -- 4.4 Parameter Sensitivity -- 5 Conclusion -- References -- Automatic SPECT Image Processing for Parkinson's Disease Early Detection -- 1 Introduction -- 2 Materials and Methods -- 3 Image Processing -- 4 Calculation of Features -- 5 Results and Discussion -- 6 Conclusion -- References -- Graph Convolution Networks for Unsupervised Learning -- 1 Introduction -- 2 Related Work -- 3 Preliminary -- 3.1 Weighted Kernel K-Means and Spectral Clustering -- 3.2 Graph Convolution Network Overview -- 4 The Proposed Method -- 4.1 Model Architecture -- 4.2 Model Loss Function and Clustering -- 5 Experiments -- 5.1 Baselines -- 5.2 Evaluation Metrics and Experimental Setups -- 5.3 Result Analysis -- 6 Conclusion -- References -- Collaborative Kernel Discriminant Analysis for Large Scale Multi Class Problems -- 1 Introduction -- 2 General Learning Framework -- 3 Multi-class Kernel Learning -- 4 Collaborative Kernel Discriminant Analysis -- 4.1 General Framework -- 4.2 The Combining Rules of the Network -- 4.3 Capacity of the Classifiers and Overflow Management -- 5 Experimental Evaluation -- 5.1 Data Sets -- 5.2 Competitors -- 5.3 Influence of the Capacity C -- 5.4 Evaluation on Moderately Size Datasets -- 5.5 Comparative Study with Large Size Datasets.
6 Conclusion and Future Work -- References -- Spectral Clustering Based on a Graph Model for Airspace Sectorization -- 1 Introduction -- 2 Related Work -- 3 Spatial Clustering -- 4 Voronoi Diagram -- 5 Delaunay Triangulation -- 6 Airspace Graph Model -- 6.1 Sub-graphs -- 6.2 Weighted Graph Model -- 6.3 Objective Function -- 7 Spectral Clustering -- 7.1 Graph Laplacian -- 8 Conclusion -- References -- Networking Technologies and IoT -- Solar Charging Station for Electric Vehicles with IoT Solution for Monitoring Energy Production -- 1 Introduction -- 2 Related Works -- 3 Materials and Methods -- 3.1 Description of the Study Area -- 3.2 Calculation of Energy Consumption by Charging Electric Vehicles -- 3.3 Calculation of the Photovoltaic GEnerator's Power -- 3.4 Calculation of the Battery Capacity -- 3.5 Calculation of the Inverter -- 3.6 Monitoring of Energy Production -- 4 Results and Discussion -- 4.1 Theoretical Results -- 4.2 Simulation Results -- 4.3 Economic Study -- 4.4 Design with Blender Software -- 4.5 Firebase Database as Cloud -- 4.6 Software for Monitoring -- 5 Conclusion and Future Works -- References -- Low-Cost Smart Irrigation System Based on Internet of Things and Fuzzy Logic -- 1 Introduction -- 2 Methodology -- 2.1 Smart Irrigation System Architecture -- 2.2 Fuzzy Logic System -- 3 Results -- 4 Conclusion -- References -- AI-Driven Methods 2 -- autoTimeSVD++: A Temporal Hybrid Recommender System Based on Contractive Autoencoder and Matrix Factorization -- 1 Problem Formulation -- 2 Introduction -- 3 Related Work -- 3.1 SVD -- 3.2 Biased-SVD -- 3.3 SVD++ -- 3.4 autoSVD++ -- 4 Our Model -- 4.1 Contractive Autoencoder (CAE) -- 4.2 TimeSVD++ -- 4.3 AutoTimeSVD++ -- 4.4 Optimization -- 5 Experiments -- 5.1 Datasets -- 5.2 Evaluation -- 5.3 Results and Discussions -- 6 Conclusion -- References. Toward a Holistic Public Procurement 4.0. Case Study: Moroccan Public Procurement -- 1 Introduction -- 2 Context of the Study -- 2.1 Digital Transformation in Morocco -- 2.2 Public Procurement -- 2.3 Integrity Issues in Public Procurement -- 3 State of the Art -- 3.1 Procurement and Artificial Intelligence -- 3.2 Procurement and Blockchain -- 3.3 Procurement and Data -- 4 Proposed Approach -- 4.1 General View -- 4.2 Proposed Framework -- 5 Conclusion and Future Works -- References -- Classifiers-Based Personality Disorders Detection -- 1 Introduction -- 2 Related Work -- 3 Our Approach -- 3.1 Approach Overview -- 3.2 Unit Classifiers -- 4 Prototype, Experiments and Results -- 4.1 Datasets -- 4.2 Implemented Classifiers and Conducted Experiments -- 4.3 Clustering and Feature Selection -- 4.4 Clusters Interpretation -- 5 Conclusion -- References -- Green Energy, Computing and Technologies 1 -- Investigation of Different Speed Controllers to Improve the Performance of Vector-Controlled Synchronous Reluctance Motor -- 1 Introduction -- 2 State-Space Mathematical Model of the SynRM -- 3 Basis of SynRM Vector Control -- 4 PI Control Design -- 5 Fuzzy Logic Control Design -- 5.1 Fuzzification -- 5.2 Knowledge Base and Inference Engine -- 5.3 Defuzzification -- 6 Self-Tuning Anti-Windup Control Design -- 7 Results and Discussion -- 8 Conclusion -- References -- Performing Energy-Efficient Motions for Wheeled Mobile Robots by Designing an Orientation Controller -- 1 Introduction -- 2 Methodology -- 2.1 Total Energy Model -- 2.2 Mobile Robot Kinematic Energy -- 2.3 Controller Design -- 2.4 Orientation Models -- 3 Model Implementation and Results -- 4 Conclusion -- References -- Study of Path Optimization of an Electric Vehicle: Case of Morocco -- 1 Introduction -- 2 Background -- 3 Problem Formulation -- 3.1 Electric Vehicles in Morocco -- 3.2 Data Description. 3.3 Vehicle Characteristics -- 3.4 Charging Cost -- 4 Proposed Model and Simulation -- 4.1 Phase 1: Finding the Shortest Path -- 4.2 Phase 2: Cost of Travel -- 5 Results Discussion -- 6 Conclusion -- References -- AI-Driven Methods 3 -- Scalable Meta-Bayesian Based Hyperparameters Optimization for Machine Learning -- 1 Introduction -- 2 Theoretical Background and Related Work -- 2.1 Hyperparameters Optimization -- 2.2 Bayesian Optimization -- 2.3 Functional ANOVA for Assessing Hyperparameters Importance -- 3 Meta-guided Bayesian Optimization -- 4 Evaluation -- 4.1 Experimental Setup -- 4.2 Experimental Results -- 5 Conclusion -- References -- A Novel Graded Multi-label Approach to Music Emotion Recognition -- 1 Introduction -- 2 Music Emotion Classification -- 3 A Graded Multi-label MER Dataset -- 4 Graded Multi-label Classification -- 4.1 GML_DT -- 5 Experiments -- 5.1 Evaluation Metrics -- 5.2 Results -- 6 Conclusion -- References -- Data-Driven Solutions for Electricity Price Forecasting: The Case of EU Improvement Project -- 1 Introduction -- 1.1 Net-Zero Energy Buildings -- 1.2 Concepts Related to NZEBs -- 1.3 Predictive Control of NZEBs -- 2 Literature Review -- 3 Methodology -- 3.1 Accuracy Metrics -- 3.2 Dataset -- 3.3 Machine Learning Solutions -- 3.4 A Deep Learning Solution -- 3.5 Time Series Data -- 4 Results and Comparison -- 5 Conclusion -- References -- Determination of the Probability of Factors Occurrence Impacting Warehouse Planning by Bayesian Networks -- 1 Introduction -- 2 Related Work -- 3 Issue -- 3.1 Diagram of Planning Disruption -- 4 Determination of Probability Factors Affecting a Warehouse Planning Using Bayesian Networks -- 4.1 Principe of Bayesian Networks -- 4.2 The Developed Bayesian Network -- 4.3 Conditional Probability Generation -- 5 Implementation and Results -- 6 Conclusion and Outlook -- References. Green Energy, Computing and Technologies 2 -- Smart Grid Production Cost Optimization by Bellman Algorithm -- 1 Introduction -- 2 Energy Management Strategies in a Microgrid -- 3 Microgrid Cost Model -- 3.1 Cost of the Grid -- 3.2 Cost of the PV and Wind System -- 3.3 Cost of Micro-gas Turbine -- 3.4 Cost of Storage System -- 3.5 Objective Function -- 4 Application of the Optimization Strategy -- 4.1 Bellman Algorithm -- 4.2 Adaptation of the Strategy -- 5 Results and Comparisons -- 6 Conclusion -- References -- Sliding Mode Control of Six-Switch Five-Level Active Neutral Point Clamped (6S-5L-ANPC) -- 1 Introduction -- 2 Circuit Analysis -- 2.1 Topology Description -- 2.2 Modulation Strategy -- 3 Controller Design -- 3.1 Sliding Mode Control -- 3.2 Mathematical Modeling -- 3.3 Control Law -- 4 Simulation Results and Discussions -- 5 Conclusion -- References -- Statistical Analysis of PV-Wind-Battery Hybrid System Energy Efficiency for Green Buildings Power Supply -- 1 Introduction -- 2 Renewable System Hybridization -- 2.1 Photovoltaic System -- 2.2 Permanent Magnet Synchronous Generator -- 2.3 Storage System -- 3 Energy Management System -- 4 System Reliability Analysis -- 5 Conclusions and Future Works -- References -- Energy Management in a Connected DC Microgrid Using Fuzzy Controller -- 1 Introduction -- 2 Energy Management System (Control Strategies) -- 2.1 Rule-Based Management Strategies -- 2.2 Optimization-Based Strategies -- 3 Control and Simulation of a Hybrid Energy System (HES) -- 3.1 Energy Management Method -- 3.2 Control of HES - Management Strategy Based on Fuzzy Rules -- 3.3 Control of PV Panel, Wind Turbine and DC Bus Voltage -- 4 Results and Discussion -- 5 Conclusion -- References -- Case Studies and Cyber-Physical Systems 1 -- Approach for Optimisation Warehouse Storage Areas Based on the Container Storage Problem. 1 Introduction. |
| Record Nr. | UNINA-9910637709103321 |
| Cham, Switzerland : , : Springer, , [2022] | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
| ||
Smart Applications and Data Analysis [[electronic resource] ] : Third International Conference, SADASC 2020, Marrakesh, Morocco, June 25–26, 2020, Proceedings / / edited by Mohamed Hamlich, Ladjel Bellatreche, Anirban Mondal, Carlos Ordonez
| Smart Applications and Data Analysis [[electronic resource] ] : Third International Conference, SADASC 2020, Marrakesh, Morocco, June 25–26, 2020, Proceedings / / edited by Mohamed Hamlich, Ladjel Bellatreche, Anirban Mondal, Carlos Ordonez |
| Edizione | [1st ed. 2020.] |
| Pubbl/distr/stampa | Cham : , : Springer International Publishing : , : Imprint : Springer, , 2020 |
| Descrizione fisica | 1 online resource (366 pages) |
| Disciplina | 006.3 |
| Collana | Communications in Computer and Information Science |
| Soggetto topico |
Computers
Artificial intelligence Computer organization Software engineering Application software Optical data processing Information Systems and Communication Service Artificial Intelligence Computer Systems Organization and Communication Networks Software Engineering/Programming and Operating Systems Computer Applications Computer Imaging, Vision, Pattern Recognition and Graphics |
| ISBN | 3-030-45183-6 |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Nota di contenuto | Ontologies and Meta Modeling -- Cyber Physical Systems and Block-Chains -- Recommender Systems -- Machine Learning based Applications -- Combinatorial Optimization -- Simulations and Deep Learning -- Workshop Session. |
| Record Nr. | UNISA-996465451603316 |
| Cham : , : Springer International Publishing : , : Imprint : Springer, , 2020 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. di Salerno | ||
| ||
Smart Applications and Data Analysis : Third International Conference, SADASC 2020, Marrakesh, Morocco, June 25–26, 2020, Proceedings / / edited by Mohamed Hamlich, Ladjel Bellatreche, Anirban Mondal, Carlos Ordonez
| Smart Applications and Data Analysis : Third International Conference, SADASC 2020, Marrakesh, Morocco, June 25–26, 2020, Proceedings / / edited by Mohamed Hamlich, Ladjel Bellatreche, Anirban Mondal, Carlos Ordonez |
| Edizione | [1st ed. 2020.] |
| Pubbl/distr/stampa | Cham : , : Springer International Publishing : , : Imprint : Springer, , 2020 |
| Descrizione fisica | 1 online resource (366 pages) |
| Disciplina | 006.3 |
| Collana | Communications in Computer and Information Science |
| Soggetto topico |
Computers
Artificial intelligence Computer organization Software engineering Application software Optical data processing Information Systems and Communication Service Artificial Intelligence Computer Systems Organization and Communication Networks Software Engineering/Programming and Operating Systems Computer Applications Computer Imaging, Vision, Pattern Recognition and Graphics |
| ISBN | 3-030-45183-6 |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Nota di contenuto | Ontologies and Meta Modeling -- Cyber Physical Systems and Block-Chains -- Recommender Systems -- Machine Learning based Applications -- Combinatorial Optimization -- Simulations and Deep Learning -- Workshop Session. |
| Record Nr. | UNINA-9910410037103321 |
| Cham : , : Springer International Publishing : , : Imprint : Springer, , 2020 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
| ||