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[null,"1.","Record Nr.",null,"UNISA996503563203316"]
[null,null,"Titolo",null,"Smart applications and data analysis : 4th international conference, SADASC 2022, Marrakesh, Morocco, September 22-24, 2022, proceedings / / edited by Mohamed Hamlich, [and three others]"]
[null,null,"Pubbl/distr/stampa",null,"Cham, Switzerland : , : Springer, , [2022]"]
[{"$nulls":4},"©2022"]
[null,null,"ISBN",null,"3-031-20490-5"]
[null,null,"Descrizione fisica",null,"1 online resource (461 pages)"]
[null,null,"Collana",null,"Communications in Computer and Information Science ; ; v.1677"]
[null,null,"Disciplina",null,"929.605"]
[null,null,"Soggetti",null,"Computers"]
[null,null,"Lingua di pubblicazione",null,"Inglese"]
[null,null,"Formato",null,"Materiale a stampa"]
[null,null,null,"Livello bibliografico","Monografia"]
[null,null,null,"Nota di bibliografia","Includes bibliographical references and index."]
[null,null,"Nota di contenuto",null,"Intro -- Preface -- Organization -- 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 "]
[{"$nulls":4},"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."]
[{"$nulls":4},"6 Conclusion and Future Work -- References -- Spectral Clustering Based on a Graph Model for Airspace Sectorization -- 1 Introduction -- 2 Related Work -- 3 Spatial Clustering -- 4 Voronoi Diagram -- 5 Delaunay Triangulation -- 6 Airspace Graph Model -- 6.1 Sub-graphs -- 6.2 Weighted Graph Model -- 6.3 Objective Function -- 7 Spectral Clustering -- 7.1 Graph Laplacian -- 8 Conclusion -- References -- Networking Technologies and IoT -- Solar Charging Station for Electric Vehicles with IoT Solution for Monitoring Energy Production -- 1 Introduction -- 2 Related Works -- 3 Materials and Methods -- 3.1 Description of the Study Area -- 3.2 Calculation of Energy Consumption by Charging Electric Vehicles -- 3.3 Calculation of the Photovoltaic GEnerator's Power -- 3.4 Calculation of the Battery Capacity -- 3.5 Calculation of the Inverter -- 3.6 Monitoring of Energy Production -- 4 Results and Discussion -- 4.1 Theoretical Results -- 4.2 Simulation Results -- 4.3 Economic Study -- 4.4 Design with Blender Software -- 4.5 Firebase Database as Cloud -- 4.6 Software for Monitoring -- 5 Conclusion and Future Works -- References -- Low-Cost Smart Irrigation System Based on Internet of Things and Fuzzy Logic -- 1 Introduction -- 2 Methodology -- 2.1 Smart Irrigation System Architecture -- 2.2 Fuzzy Logic System -- 3 Results -- 4 Conclusion -- References -- AI-Driven Methods 2 -- autoTimeSVD++: A Temporal Hybrid Recommender System Based on Contractive Autoencoder and Matrix Factorization -- 1 Problem Formulation -- 2 Introduction -- 3 Related Work -- 3.1 SVD -- 3.2 Biased-SVD -- 3.3 SVD++ -- 3.4 autoSVD++ -- 4 Our Model -- 4.1 Contractive Autoencoder (CAE) -- 4.2 TimeSVD++ -- 4.3 AutoTimeSVD++ -- 4.4 Optimization -- 5 Experiments -- 5.1 Datasets -- 5.2 Evaluation -- 5.3 Results and Discussions -- 6 Conclusion -- References."]
[{"$nulls":4},"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 "]
[{"$nulls":4},"Results -- 4 Conclusion -- References -- Study of Path Optimization of an Electric Vehicle: Case of Morocco -- 1 Introduction -- 2 Background -- 3 Problem Formulation -- 3.1 Electric Vehicles in Morocco -- 3.2 Data Description."]
[{"$nulls":4},"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."]
[{"$nulls":4},"Green Energy, Computing and Technologies 2 -- Smart Grid Production Cost Optimization by Bellman Algorithm -- 1 Introduction -- 2 Energy Management Strategies in a Microgrid -- 3 Microgrid Cost Model -- 3.1 Cost of the Grid -- 3.2 Cost of the PV and Wind System -- 3.3 Cost of Micro-gas Turbine -- 3.4 Cost of Storage System -- 3.5 Objective Function -- 4 Application of the Optimization Strategy -- 4.1 Bellman Algorithm -- 4.2 Adaptation of the Strategy -- 5 Results and Comparisons -- 6 Conclusion -- References -- Sliding Mode Control of Six-Switch Five-Level Active Neutral Point Clamped (6S-5L-ANPC) -- 1 Introduction -- 2 Circuit Analysis -- 2.1 Topology Description -- 2.2 Modulation Strategy -- 3 Controller Design -- 3.1 Sliding Mode Control -- 3.2 Mathematical Modeling -- 3.3 Control Law -- 4 Simulation Results and Discussions -- 5 Conclusion -- References -- Statistical Analysis of PV-Wind-Battery Hybrid System Energy Efficiency for Green Buildings Power Supply -- 1 Introduction -- 2 Renewable System Hybridization -- 2.1 Photovoltaic System -- 2.2 Permanent Magnet Synchronous Generator -- 2.3 Storage System -- 3 Energy Management System -- 4 System Reliability Analysis -- 5 Conclusions and Future Works -- References -- Energy Management in a Connected DC Microgrid Using Fuzzy Controller -- 1 Introduction -- 2 Energy Management System (Control Strategies) -- 2.1 Rule-Based Management Strategies -- 2.2 Optimization-Based Strategies -- 3 Control and Simulation of a Hybrid Energy System (HES) -- 3.1 Energy Management Method -- 3.2 Control of HES - Management Strategy Based on Fuzzy Rules -- 3.3 Control of PV Panel, Wind Turbine and DC "]
[{"$nulls":4},"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."]
[{"$nulls":4},"1 Introduction."]
[null,"2.","Record Nr.",null,"UNINA9910978247003321"]
[null,null,"Autore",null,"Gianvittorio-Ungar Laura"]
[null,null,"Titolo",null,"Narratives at Play in Aeschylus : Perspectives on Genre and Poetics / / Laura Gianvittorio-Ungar"]
[null,null,"Pubbl/distr/stampa",null,"Leiden ; ; Boston : , : Brill, , 2025"]
[{"$nulls":4},"©2025"]
[null,null,"ISBN",null,"9789004715806"]
[{"$nulls":4},"9004715800"]
[null,null,"Edizione",null,"[First edition.]"]
[null,null,"Descrizione fisica",null,"1 online resource (310 pages)"]
[null,null,"Collana",null,"Classical Studies E-Books Online, Collection 2024"]
[{"$nulls":4},"Mnemosyne, Supplements ; ; 491"]
[null,null,"Disciplina",null,"025.4/3"]
[null,null,"Soggetti",null,"Classical Studies"]
[{"$nulls":4},"Greek & Latin Literature"]
[{"$nulls":4},"Literature and Cultural Studies"]
[{"$nulls":4},"Literary criticism"]
[null,null,"Lingua di pubblicazione",null,"Inglese"]
[null,null,"Formato",null,"Materiale a stampa"]
[null,null,null,"Livello bibliografico","Monografia"]
[null,null,null,"Nota di bibliografia","Includes bibliographical references and index."]
[null,null,"Nota di contenuto",null,"Front Cover -- ‎Half-Title Page -- ‎Series Title Page -- ‎Title Page -- ‎Copyright Page -- ‎Contents -- ‎Acknowledgements -- ‎Note on Texts and Abbreviations -- ‎Part 1. Frameworks -- ‎Chapter 1. A Novel Take on Tragic Narrativity -- ‎1.1. Aeschylus' Narrative Drama -- ‎1.1.1. Why Narrative Drama? -- ‎1.1.2. Past and Current Approaches to Tragic Narratives -- ‎1.1.3. This Book's Approach -- ‎1.2. What Narrative Drama Can and Cannot Help With -- ‎1.2.1. Approaches to Narrative Performance -- ‎1.2.2. Evolutionary Models of Tragedy -- ‎1.2.3. A plaidoyer for mimēsis -- ‎Chapter 2. Notions of Genre, Ancient and Modern -- ‎2.1. Narrative, Drama, and Their Middle Ground -- ‎2.1.1. Plato: Who Gives Voice and Body to the Poem? -- ‎2.1.2. Aristotle on Genre and Performance -- ‎2.1.3. Cross-Overs of Narrative and Drama: Ancient Views -- ‎2.2. Generic Projections -- ‎2.2.1. Text Transfers -- ‎2.2.2. Defining Genres through their History -- ‎2.2.3. \"Nothing Happens, Really, It Is Just Talk, Talk, Talk\" -- ‎Part 2. Applications -- ‎Chapter 3. A Functional Analysis -- ‎3.1. Criteria and Categories -- ‎3.1.1. Criteria -- ‎3.1.2. Action -- ‎3.1.3. Narrative -- ‎3.1.4. Response -- ‎3.2. Analysis -- ‎3.2.1. Persians -- ‎3.2.2. Seven against Thebes -- ‎3.2.3. Suppliant Women -- ‎3.2.4. Prometheus -- ‎Chapter 4. Narrative Drama: Features and Functioning -- ‎4.1. The Presence of Narrative -- ‎"]
[{"$nulls":4},"4.1.1. Synoptic Tables -- ‎4.1.2. Quantifying Narrative -- ‎4.1.3. Narrative-Based Structure -- ‎4.2. Narrative's Performativity -- ‎4.2.1. How to Do Things with Narratives -- ‎4.2.2. Parameters of Performativity -- ‎4.2.3. The Motor of Drama -- ‎4.3. Influences of Narrative on the Plot -- ‎4.3.1. Unitary and Disunited Plot -- ‎4.3.2. Elastic Plots -- ‎4.3.3. Anachronisms and Displacements -- ‎4.4. Dramatizing Narratives: Some Techniques."]
[{"$nulls":4},"‎4.4.1. Breaking Down Narratives into Dialogues -- ‎4.4.2. Dramatizing Catalogues -- ‎4.4.3. Playing with Focalization -- ‎Conclusions. From Tragic Narratives towards New Narratives of Tragedy -- ‎Appendix. The Reception of the Classical Speech Criterion -- ‎Bibliography -- ‎Index Locorum -- Back Cover."]
[null,null,null,"Sommario/riassunto","So little happens in the earliest surviving plays that their dramatic status almost escapes the reader. This calls for a revision of traditional views and historiographies of dramatic literature: for example, how did action come to define drama, and how did these genre developments influence reception? Above all, what constitutes drama when action is as optional as it apparently was in the 470s-460s BCE? This book rethinks Aeschylean theatre as a practice that combines elements of storytelling with enacted responses to them, and reads the literary remains of this practice from cross-generic perspectives (ancient, modern, and transhistorical). Recognizing the importance of embedded narratives in Aeschylus helps us adapt our poetological frameworks to his art at last, rather than vice versa."]