LEADER 00935nam a22002534a 4500 001 991001846889707536 008 030912s20032003gw aa b 000 0 ger c 020 $a3406509991 035 $ab13436739-39ule_inst 040 $aDip.to Beni Culturali$bita 100 1 $aGiuliani, Luca$0166549 245 10$aBild und Mythos :$bGeschichte der Bilderzählung in der griechischen Kunst /$cLuca Giuliani 260 $aMünchen :$bC. H. Beck,$cc2003 300 $a366 p. :$bill. ;$c25 cm. 504 $aContiene bibliografia: pp. [299]-320 650 4$aArte greca 650 4$aMitologia greca$xArte 650 4$aPittura su vaso$zGrecia 907 $a.b13436739$b02-04-14$c11-09-06 912 $a991001846889707536 945 $aLE001 AR XII 72$g1$i2001000158621$lle001$op$pE65.00$q-$rl$s- $t0$u0$v0$w0$x0$y.i14288874$z11-09-06 996 $aBild und Mythos$91097974 997 $aUNISALENTO 998 $ale001$b11-09-06$cm$da $e-$fger$ggw $h0$i0 LEADER 02449nam 2200577 450 001 9910827410903321 005 20170821171556.0 010 $a1-4704-0647-0 035 $a(CKB)3360000000464424 035 $a(EBL)3113621 035 $a(SSID)ssj0000888760 035 $a(PQKBManifestationID)11462800 035 $a(PQKBTitleCode)TC0000888760 035 $a(PQKBWorkID)10864780 035 $a(PQKB)11187719 035 $a(MiAaPQ)EBC3113621 035 $a(RPAM)3245440 035 $a(PPN)195411234 035 $a(EXLCZ)993360000000464424 100 $a19810109h19811981 uy| 0 101 0 $aeng 135 $aur|n|---||||| 181 $ctxt 182 $cc 183 $acr 200 10$aAdmissible solutions of hyperbolic conservation laws /$fTai-Ping Liu 210 1$aProvidence, Rhode Island :$cAmerican Mathematical Society,$d[1981] 210 4$d©1981 215 $a1 online resource (85 p.) 225 1 $aMemoirs of the American Mathematical Society,$x0065-9266 ;$vvolume 30, number 240 (March 1981) 300 $a"Volume 30 ... (first of 3 numbers)." 311 $a0-8218-2240-3 320 $aIncludes bibliographical references. 327 $a""Table of Contents""; ""1. Introduction""; ""2. Jump relation""; ""3. Admissibility criterion""; ""4. Resolution of discontinuities""; ""5. Interaction of elementary waves, I""; ""6. Stability of wave pattern""; ""7. Interactions of elementary waves II""; ""8. Nonlinear functional""; ""9. Wave partition""; ""10. Convergence of approximate solutions""; ""11. Expansion waves""; ""12. Continuity points""; ""13. Curves of discontinuity""; ""14. Points of interactions""; ""15. Regularity of the solution""; ""16. Asymptotic behavior of the solution""; ""17. Linear and nonlinear waves"" 410 0$aMemoirs of the American Mathematical Society ;$vnumber 240. 606 $aShock waves 606 $aConservation laws (Mathematics) 606 $aDifferential equations, Hyperbolic$xNumerical solutions 615 0$aShock waves. 615 0$aConservation laws (Mathematics) 615 0$aDifferential equations, Hyperbolic$xNumerical solutions. 676 $a510 s 676 $a531/.1133 700 $aLiu$b Tai-Ping$f1945-$0535676 801 0$bMiAaPQ 801 1$bMiAaPQ 801 2$bMiAaPQ 906 $aBOOK 912 $a9910827410903321 996 $aAdmissible solutions of hyperbolic conservation laws$93996991 997 $aUNINA LEADER 10868nam 22007575 450 001 9910865259903321 005 20251225195135.0 010 $a9783031610691$b(electronic bk.) 010 $z9783031610684 024 7 $a10.1007/978-3-031-61069-1 035 $a(MiAaPQ)EBC31360928 035 $a(Au-PeEL)EBL31360928 035 $a(CKB)32213410400041 035 $a(DE-He213)978-3-031-61069-1 035 $a(OCoLC)1439049150 035 $a(EXLCZ)9932213410400041 100 $a20240602d2024 u| 0 101 0 $aeng 135 $aurcnu|||||||| 181 $ctxt$2rdacontent 182 $cc$2rdamedia 183 $acr$2rdacarrier 200 10$aArtificial Intelligence for Knowledge Management, Energy and Sustainability $e10th IFIP International Workshop on Artificial Intelligence for Knowledge Management, AI4KMES 2023, Krakow, Poland, September 30?October 1, 2023, Revised Selected Papers /$fedited by Eunika Mercier-Laurent, Gülgün Kayakutlu, Mieczyslaw Lech Owoc, Abdul Wahid, Karl Mason 205 $a1st ed. 2024. 210 1$aCham :$cSpringer Nature Switzerland :$cImprint: Springer,$d2024. 215 $a1 online resource (0 pages) 225 1 $aIFIP Advances in Information and Communication Technology,$x1868-422X ;$v693 311 08$aPrint version: Mercier-Laurent, Eunika Artificial Intelligence for Knowledge Management, Energy and Sustainability Cham : Springer,c2024 9783031610684 327 $aIntro -- Preface -- Organization -- Contents -- Artificial Intelligence, Sustainability and Climate Change -- 1 Introduction - Sustainability and Climate Change -- 2 Contribution of AI to Climate Action -- 2.1 Environmental Impact of Generative AI -- 3 Conclusion and Future Work -- References -- In Search for Model-Driven eXplainable Artificial Intelligence -- 1 Introduction -- 2 XAI: State-of-the-Art -- 3 XAI: Critical Evaluation -- 4 Motivation for Model-Driven XAI -- 5 A Generic Scenario: Singular Case Analysis -- 6 A Note on Grammatical Evolution, Ongoing Research and Tools -- 7 An Experiment with Different Explainability Methods -- 7.1 Introduction of Meaningful Intermediate Variables -- 8 Conclusions -- References -- An Intelligent Chatbot Based on Hybrid Approach Implementing Technical Knowledge to Support Maintenance and Training Activities at Electricity of France (EDF) -- 1 Introduction -- 2 An Air-Conditioner in the Electrical Room? -- 3 Produce New Documentation with Notes and Instructions to Capitalize on Knowledge -- 4 How Did the Air Conditioner Come About? -- 5 How Do Discussions Feed the Dialoguer? -- 6 The Dialoguer and AI -- 6.1 AI Enables Dialogue -- 6.2 The Life of the Dialoguer -- 7 Conclusions -- References -- Supporting Food Computing with Ontologies and Artificial Intelligence Methods for Sustainability -- 1 Introduction -- 2 Combining AI with Food Ontologies for Sustainability -- 3 Selected Ontological Knowledge Sources -- 3.1 FoodOn -- 3.2 Wikidata -- 3.3 Other Ontologies and Knowledge Graphs -- 3.4 Comparison of ONS, FoodKG, SPO and FoodOn Ontologies -- 4 Ontological Reasoning in Food Domain -- 5 Integrating Existing Knowledge with Machine-Learned Information About Recipes -- 5.1 Named Entity Recognition from Culinary Recipes -- 5.2 Linking the Recognized Entities with Knowledge Bases. 327 $a5.3 Development of an Integrated Knowledge Graph -- 5.4 A Graph Knowledge Base for Nutrients and Recipes -- 6 Conclusions -- References -- The Use of Semantic Networks for the Categorization of Prosumers: Expanded Version -- 1 Introduction -- 2 Identification of the Scope of Publications -- 3 Method and Research Procedure -- 4 Research Results -- 5 Conclusions -- References -- Methods for Mitigating Gender Bias in Binary Classification Models - A Comparative Analysis -- 1 Introduction -- 2 Gender Bias in Machine Learning Models -- 3 Resampling -- 4 Fairlearn Overview -- 5 Comparative Analysis of Methods for Mitigating Gender Bias in Binary Classification Models -- 5.1 Experiment Overview -- 5.2 Baseline Model -- 5.3 Models Based on Resampled Data -- 5.4 ThresholdOptimizer Models -- 5.5 Comparative Analysis -- 5.6 Summary -- 6 Conclusions -- References -- ChatGPT as a Learning Tool in Business Education. Research on Students' Motivation -- 1 Introduction -- 2 Research Background -- 3 Research Methodology and Analysis -- 4 Future Research Directions and Conclusions -- References -- Integrating Artificial Intelligence into Electric Vehicle Energy Systems: A Survey -- 1 Introduction -- 2 Electric Vehicles -- 2.1 Overview -- 2.2 Transport and Climate Change -- 2.3 Batteries -- 2.4 Grid -- 2.5 Challenges -- 3 Life-Cycle of Electric Vehicles -- 3.1 Life-Cycle Assessment -- 3.2 Life Cycle Emissions -- 4 Artificial Intelligence -- 4.1 Overview -- 4.2 Machine Learning -- 4.3 Reinforcement Learning -- 4.4 Neural Networks and Deep Learning -- 4.5 Multi-agent Systems -- 5 Applications of Artificial Intelligence to Electric Vehicles -- 5.1 Electric Vehicle Producers -- 5.2 End Users -- 5.3 Power System Operators -- 5.4 Owners of EV Charging Infrastructure -- 5.5 Policy Makers -- 5.6 Vehicle-to-Grid Planners -- 6 Discussion -- 6.1 Limitations. 327 $a6.2 Future Directions -- 7 Conclusion -- References -- Towards Sustainable Power Systems: Exploring the Opportunities of Multi-task Learning for Battery Degradation Forecasting -- 1 Introduction -- 2 Problem Setting -- 2.1 Multi-task Learning -- 2.2 Multi-task Sequence-to-Sequence Models -- 2.3 Task Weighting -- 2.4 Research Gap -- 3 Battery Degradation Data -- 3.1 Data Preprocessing -- 4 Empirical Setup -- 4.1 The Encoder-Decoder Multi-task Model -- 4.2 Exploration Space -- 4.3 Loss Function and Evaluation Metrics -- 5 Results -- 5.1 Comparing Single-Stage with Three-Stage Training -- 5.2 Analyzing Static Task Weighting -- 5.3 Comparing Dynamic Task Weighting Algorithms -- 6 Conclusion -- References -- Classification Tree Based AI System for Short Term Prediction for Heat and Power Plants -- 1 Introduction -- 2 Literature Remarks -- 3 Method -- 4 Temperature of Return Water from Heat and Power Plant -- 5 Demand for Electricity at a Given Area -- 6 Conclusions -- References -- The Influence of Neural Networks on Hydropower Plant Management in Agriculture: Addressing Challenges and Exploring Untapped Opportunities -- 1 Introduction -- 2 Hydropower Plant Management -- 2.1 Constrained Optimisation Approach -- 2.2 Neural Networks Approach -- 3 The Proposal -- 3.1 The Agriculture Conscious Hydropower Plant Management Framework -- 3.2 Software Regulation -- 4 Conclusion and Future Work -- References -- Usability of Honeybee Algorithms in Practice. Towards Nature-Inspired Sustainable Development -- 1 Introduction -- 2 Research Background and Methodology -- 3 Fundamentals of Honeybee Algorithms -- 4 Chosen Artificial Bee Colony Algorithms in Practice -- 5 Conclusions and Future Research Directions -- References -- Automatic Coral Morphotypes Detection with YOLO: A Deep Learning Approach for Efficient and Accurate Coral Reef Monitoring -- 1 Introduction. 327 $a2 Related Works -- 3 Datasets -- 4 YOLOv5 -- 5 Results and Analysis -- 6 Discussion -- 7 Conclusion -- References -- Answering Key Questions About Air Pollution Dynamics in Ho Chi Minh City: A Spatiotemporal Analysis Using the XAI-SHAP Clustering Approach -- 1 Introduction -- 2 Related Work -- 2.1 Traditional Methods for Forecasting Air Quality -- 2.2 AI-Based Models for Forecasting Air Pollutants -- 2.3 Interpreting Models with XAI - SHAP Approach -- 2.4 SHAP Applications in Environmental Research -- 3 Experiments -- 3.1 Dataset and Experimental Settings -- 3.2 Constructing and Assessing ML Classification Models -- 3.3 Evaluating Feature Significance -- 3.4 SHAP-Based Dimensionality Reduction -- 4 Ablation Studies -- 4.1 Hourly Fluctuations of Air Pollutant Levels Across Different Monitoring Stations -- 4.2 Assessing Critical Factors and Ranking Their Impact on Air Pollution Concentrations -- 4.3 Assessing the Viability of Supervised Clustering with SHAP Values -- 5 Conclusion -- References -- Crowdsourcing as a Tool for Smart City Within Sustainable Development -- 1 Introduction -- 2 Materials and Methods -- 3 Results -- 4 Discussion -- 5 Conclusions -- References -- Model of Relationship Between Circular Economy and Industry 5.0 -- 1 Introduction -- 2 Theoretical Background -- 3 Materials and Methods -- 4 Model of the CE and Industry 5.0 Relationship -- 5 Conclusions -- Appendix -- References -- Reduction of Carbon Dioxide Emissions of IT Hardware -- 1 Introduction -- 2 Theoretical Background -- 2.1 Sustainable Development -- 3 Research Methodology -- 3.1 Research Tools -- 3.2 Research Procedure -- 4 Empirical Results and Discussion -- 4.1 Results -- 5 Conclusion -- References -- Author Index. 330 $aThis volume IFIP AICT 693 constitutes the refereed proceedings of the 10th IFIP International Workshop on Artificial Intelligence for Knowledge Management, AI4KMES 2023, from September 30th ? October 1st, 2023, held in Krakow, Poland. The 15 full papers presented together with 2 short papers were carefully reviewed and selected from 49 submissions. The accepted papers covered a large scope of topics related to sustainability in various contexts such as smart cities, agriculture, energy and gas production and distribution, industry, management and biodiversity. . 410 0$aIFIP Advances in Information and Communication Technology,$x1868-422X ;$v693 606 $aArtificial intelligence 606 $aComputer networks 606 $aNumerical analysis 606 $aComputer engineering 606 $aApplication software 606 $aArtificial Intelligence 606 $aComputer Communication Networks 606 $aNumerical Analysis 606 $aComputer Engineering and Networks 606 $aComputer and Information Systems Applications 615 0$aArtificial intelligence. 615 0$aComputer networks. 615 0$aNumerical analysis. 615 0$aComputer engineering. 615 0$aApplication software. 615 14$aArtificial Intelligence. 615 24$aComputer Communication Networks. 615 24$aNumerical Analysis. 615 24$aComputer Engineering and Networks. 615 24$aComputer and Information Systems Applications. 676 $a006.3 700 $aMercier-Laurent$b E$g(Eunika)$0852612 701 $aKayakutlu$b Gu?lgu?n$0928315 701 $aOwoc$b Mieczys?aw Lech$01860460 701 $aWahid$b Abdul$01064348 701 $aMason$b Karl$01742572 801 0$bMiAaPQ 801 1$bMiAaPQ 801 2$bMiAaPQ 912 $a9910865259903321 996 $aArtificial Intelligence for Knowledge Management, Energy and Sustainability$94465468 997 $aUNINA