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(Im)politeness in McEwan's fiction : literary pragma-stylistics / / Urszula Kizelbach
| (Im)politeness in McEwan's fiction : literary pragma-stylistics / / Urszula Kizelbach |
| Autore | Kizelbach Urszula |
| Edizione | [1st ed. 2023.] |
| Pubbl/distr/stampa | Cham, Switzerland : , : Palgrave Macmillan, , [2023] |
| Descrizione fisica | 1 online resource (239 pages) |
| Disciplina | 929.605 |
| Soggetto topico | Courtesy in literature |
| ISBN |
9783031186905
9783031186899 |
| Formato | Materiale a stampa  |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Nota di contenuto | Chapter 1: Why Ian McEwan and Literary Pragma-Stylistics? -- Chapter 2: Pragmatics and the Analysis of Fiction -- Chapter 3: Narrative Tradition in Fiction: A Pragma-Stylistic Approach -- Chapter 4: Intradiegetic (Im)politeness or How the (Im)politeness Theory is used for Internal Characterisation -- Chapter 5: Extradiegetic (Im)politeness or How the Implied Author Communicates with the Reader -- Chapter 6: Conclusion. |
| Record Nr. | UNINA-9910674359003321 |
Kizelbach Urszula
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| Cham, Switzerland : , : Palgrave Macmillan, , [2023] | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
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17th International Conference on Soft Computing Models in Industrial and Environmental Applications (SOCO 2022) : Salamanca, Spain, September 5–7, 2022, Proceedings / / edited by Pablo García Bringas, Hilde Pérez García, Francisco Javier Martinez-de-Pison, José Ramón Villar Flecha, Alicia Troncoso Lora, Enrique A. de la Cal, Álvaro Herrero, Francisco Martínez Álvarez, Giuseppe Psaila, Héctor Quintián, Emilio S. Corchado Rodriguez
| 17th International Conference on Soft Computing Models in Industrial and Environmental Applications (SOCO 2022) : Salamanca, Spain, September 5–7, 2022, Proceedings / / edited by Pablo García Bringas, Hilde Pérez García, Francisco Javier Martinez-de-Pison, José Ramón Villar Flecha, Alicia Troncoso Lora, Enrique A. de la Cal, Álvaro Herrero, Francisco Martínez Álvarez, Giuseppe Psaila, Héctor Quintián, Emilio S. Corchado Rodriguez |
| Edizione | [1st ed. 2023.] |
| Pubbl/distr/stampa | Cham : , : Springer Nature Switzerland : , : Imprint : Springer, , 2023 |
| Descrizione fisica | 1 online resource (676 pages) |
| Disciplina | 929.605 |
| Collana | Lecture Notes in Networks and Systems |
| Soggetto topico |
Computational intelligence
Industrial engineering Production engineering Computational Intelligence Industrial and Production Engineering |
| ISBN | 3-031-18050-X |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Nota di contenuto |
Intro -- Preface -- Organization -- General Chair -- International Advisory Committee -- Program Committee Chairs -- Program Committee -- Special Sessions -- Machine Learning and Computer Vision in Industry 4.0 -- Program Committee -- Time Series Forecasting in Industrial and Environmental Applications -- Program Committee -- Optimization, Modeling, and Control by Soft Computing Techniques -- Program Committee -- Soft Computing Applied to Renewable Energy Systems -- Program Committee -- Preprocessing Big Data in Machine Learning -- Program Committee -- Tackling Real-World Problems with Artificial Intelligence -- Program Committee -- SOCO 2022 Organizing Committee Chairs -- SOCO 2022 Organizing Committee -- Contents -- Decision Support and Deep Learning -- Anomaly Detection of Security Threats to Cyber-Physical Systems: A Study -- 1 Introduction -- 2 Statistical Analysis -- 3 Literature Analysis -- 3.1 CPS Security Design -- 3.2 Anomaly Detection/Threat Detection in CPS -- 4 Outstanding Challenges -- 5 Conclusions -- References -- Predictive Maintenance for Maintenance-Effective Manufacturing Using Machine Learning Approaches -- 1 Introduction -- 2 State-of-the-Art -- 3 Training/Testing Dataset -- 4 Proposed Methodology -- 4.1 Gradient Boosting Training -- 4.2 Support Vector Machine Training -- 5 Results and Discussion -- 6 Conclusions -- References -- Estimation of Lamb Weight Using Transfer Learning and Regression -- 1 Introduction -- 2 Image Acquisition and Data Preparation -- 3 Proposed Architecture -- 4 Experimental Results -- 5 Conclusions -- References -- UAV Simulation for Object Detection and 3D Reconstruction Fusing 2D LiDAR and Camera -- 1 Introduction -- 2 Related Works -- 3 Simulation Framework -- 4 Proposed Process -- 5 Demonstration and Evaluation -- 6 Conclusions and Perspectives -- References.
A SO2 Pollution Concentrations Prediction Approach Using Autoencoders -- 1 Introduction -- 2 Database -- 3 Methodology -- 4 Results -- 5 Conclusions -- References -- CPU Computation Influence on Energy Consumption Forecasting Activities of a Building -- 1 Introduction -- 2 Methodology -- 3 Case Study and Results -- 3.1 Case Study -- 3.2 Results -- 4 Conclusions -- References -- Python-Based Ecosystem for Agent Communities Simulation -- 1 Introduction -- 2 Related Works -- 3 Proposed Solution -- 3.1 PEAK Multi-agent System Platform -- 3.2 Management -- 4 Case Study -- 5 Conclusion -- References -- Deep Learning Approach for the Prediction of the Concentration of Chlorophyll ɑ in Seawater. A Case Study in El Mar Menor (Spain) -- 1 Introduction -- 2 Area Description and Datasets -- 3 Methods -- 3.1 Artificial Neural Networks -- 3.2 Bayesian Regularized Neural Networks -- 3.3 Long Short-Term Memory Neural Networks -- 3.4 Mutual Information -- 3.5 Minimum-Redundancy-Maximum-Relevance (mRMR) -- 4 Experimental Procedure -- 4.1 Creation of the Lagged Datasets -- 4.2 Forecasting Models -- 5 Results and Discussion -- 6 Conclusions -- References -- Evolutionary Computing -- A Hybrid Discrete Symbiotic Organisms Search Algorithm and List-Based Simulated Annealing Algorithm for Traveling Salesman Problem -- 1 Introduction -- 2 A Discrete Symbiotic Organisms Search Algorithm for TSP -- 2.1 Mutualism Phase -- 2.2 Commensalism Phase -- 2.3 Parasitism Phase -- 3 A List-Based Simulated Annealing Algorithm for TSP -- 4 A Hybrid DSOS-LBSA Algorithm for TSP -- 5 Computational Results and Discussion -- 5.1 Parameter Settings -- 5.2 Computational Results and Analysis -- 6 Conclusion and Future Work -- References -- Estimation of Distribution Algorithms Applied to the Next Release Problem -- 1 Introduction -- 2 Next Release Problem -- 2.1 Related Work. 2.2 Multi-objective Next Release Problem -- 3 Proposal: Univariate EDAs for the MONRP -- 3.1 MONRP-UMDA -- 3.2 MONRP-PBIL -- 4 Experimental Evaluation -- 4.1 Algorithms -- 4.2 Datasets -- 4.3 Methodology -- 5 Results and Analysis -- 5.1 Best Configurations -- 5.2 Pareto Front Results -- 5.3 Metrics Results -- 6 Conclusions and Future Works -- References -- An Extremal Optimization Approach to the Pairwise Connectivity Critical Node Detection Problem -- 1 Introduction -- 2 Related Work and Problem Formulation -- 3 Extremal Optimization -- 4 Numerical Experiments -- 5 Conclusions -- References -- Neural Networks and Data Mining -- Dimensional Reduction Applied to an Intelligent Model for Boost Converter Switching Operation -- 1 Introduction -- 2 Case Study -- 3 Model Approach -- 3.1 Dataset -- 3.2 Methods -- 3.3 Classification Model -- 3.4 Experiments Description -- 4 Results -- 5 Conclusions and Future Works -- References -- Intuitionistic Fuzzy Sets in J-CO-QL+? -- 1 Introduction -- 2 Background -- 2.1 Classical Fuzzy Sets -- 2.2 Intuitionistic Fuzzy Sets and Relations -- 2.3 Example: Representing Medical Knowledge -- 3 Intuitionistic Fuzzy Sets and J-CO-QL+ -- 3.1 J-CO-QL+ Data Model and Execution Model -- 3.2 J-CO-QL+ Script -- 4 Learned Lessons and Conclusions -- References -- Assessing the Efficient Market Hypothesis for Cryptocurrencies with High-Frequency Data Using Time Series Classification -- 1 Introduction -- 2 Literature Review -- 3 Methods -- 4 Experiments and Results -- 4.1 Datasets Used -- 4.2 Experimental Settings and Performance Measures -- 4.3 Results -- 5 Conclusions -- References -- Blockchain for Supply Chain Traceability with Data Validation -- 1 Introduction -- 2 Related Work -- 3 Blockchain-Based GSC Traceability -- 4 Smart Contract for GSC Traceability -- 5 Smart Contract Implementation and Performance Evaluation. 6 Conclusions and Future Work -- References -- Compression of Clustered Ship Trajectories for Context Learning and Anomaly Detection -- 1 Introduction -- 2 Background Information -- 2.1 Data Pre-processing and Data Imbalance -- 2.2 Trajectory Clustering -- 2.3 Trajectory Compression -- 3 Proposed Architecture -- 3.1 Data Preparation and Cluster Generation -- 3.2 Compression of Trajectories -- 3.3 Representative Points Extraction -- 4 Results Analysis -- 5 Conclusions and Perspectives -- References -- DR Participants' Actual Response Prediction Using Artificial Neural Networks -- 1 Introduction -- 2 Proposed Methodology -- 3 Case Study -- 4 Results and Discussion -- 5 Conclusion -- References -- Non-linear Neural Models to Predict HRC Steel Price in Spain -- 1 Introduction and Previous Work -- 2 Materials and Methods -- 2.1 Dataset -- 2.2 Non-lineal Neural Models -- 3 Experiments and Results -- 4 Conclusions and Future Work -- References -- Soft Computing Applications -- First Steps Predicting Execution of Civil Works from Georeferenced Infrastructure Data -- 1 Introduction -- 1.1 State of the Art -- 1.2 Research Proposal -- 2 Methodology -- 2.1 Preprocess -- 2.2 Data Analysis -- 2.3 Dataset Generation -- 2.4 Supervised Classification -- 2.5 Evaluation -- 2.6 Results -- 3 Conclusion -- References -- Virtual Sensor to Estimate Air Pollution Heavy Metals Using Bioindicators -- 1 Introduction -- 2 Database -- 3 Methodology -- 4 Results -- 5 Conclusions -- References -- Regression Techniques to Predict the Growth of Potato Tubers -- 1 Introduction -- 2 Previous Work -- 3 Regression Techniques -- 3.1 Multiple Linear Regression -- 3.2 Multilayer Perceptron -- 3.3 Radial-Basis Function Network -- 3.4 Support Vector Machine -- 4 Materials and Methods -- 5 Results and Discussion -- 6 Conclusions and Future Work -- References. Reliability-Sensitive Optimization for Provision of Ancillary Services by Tempo-Spatial Correlated Distributed Energy Resources -- 1 Introduction -- 2 Multivariate Correlation Modeling -- 2.1 Pair-Copula Construction -- 2.2 D-Vine Copula Structure -- 3 Reliability-Sensitive Optimization -- 3.1 Multivariate Correlation Modeling -- 3.2 Joint Reliability Evaluation Methodology -- 4 Simulation Study -- 5 Conclusion -- References -- Special Session on Machine Learning and Computer Vision in Industry 4.0 -- Predictive Maintenance of ATM Machines by Modelling Remaining Useful Life with Machine Learning Techniques -- 1 Introduction -- 2 Materials -- 3 Methods -- 3.1 Task Definition -- 3.2 Feature Extraction and Selection -- 3.3 Pre-processing -- 3.4 Machine Learning Model -- 3.5 Experimental Procedure -- 4 Results -- 5 PdM Decision Support System for SIMPLE Project -- 6 Conclusions -- References -- The Impact of Content Deletion on Tabular Data Similarity Using Contextual Word Embeddings -- 1 Introduction -- 2 Related Work -- 3 Research Method -- 4 Experiments -- 4.1 Models -- 4.2 Datasets -- 4.3 Results -- 5 Conclusions and Future Work -- References -- Deep Learning-Based Dementia Prediction Using Multimodal Data -- 1 Introduction -- 2 DementiaBank Dataset -- 3 Approach -- 3.1 Audio -- 3.2 Text -- 3.3 Multimodal -- 3.4 Other Approaches -- 4 Evaluation -- 5 Conclusion -- References -- Lightweight Models in Face Attribute Recognition: Performance Under Oclussions -- 1 Introduction -- 2 Related Work -- 3 Description of the System -- 3.1 Models -- 3.2 Datasets -- 4 Experimental Setup -- 4.1 Training -- 4.2 Evaluation -- 5 Evaluation with Masked Faces -- 6 Conclusions and Future Work -- References -- Small Vessel Detection in Changing Seaborne Environments Using Anchor-Free Detectors on Aerial Images -- 1 Introduction -- 2 Related Work -- 2.1 Vessel Detection. 2.2 Datasets. |
| Record Nr. | UNINA-9910627276703321 |
| Cham : , : Springer Nature Switzerland : , : Imprint : Springer, , 2023 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
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2016 35th International Conference of the Chilean Computer Science Society (SCCC) / / Institute of Electrical and Electronics Engineers
| 2016 35th International Conference of the Chilean Computer Science Society (SCCC) / / Institute of Electrical and Electronics Engineers |
| Pubbl/distr/stampa | [Place of publication not identified] : , : IEEE, , 2016 |
| Descrizione fisica | 1 online resource : illustrations |
| Disciplina | 929.605 |
| Soggetto topico | Computer science |
| ISBN | 1-5090-3339-4 |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Altri titoli varianti | 2016 35th International Conference of the Chilean Computer Science Society |
| Record Nr. | UNINA-9910172646003321 |
| [Place of publication not identified] : , : IEEE, , 2016 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
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2016 35th International Conference of the Chilean Computer Science Society (SCCC) / / Institute of Electrical and Electronics Engineers
| 2016 35th International Conference of the Chilean Computer Science Society (SCCC) / / Institute of Electrical and Electronics Engineers |
| Pubbl/distr/stampa | [Place of publication not identified] : , : IEEE, , 2016 |
| Descrizione fisica | 1 online resource : illustrations |
| Disciplina | 929.605 |
| Soggetto topico | Computer science |
| ISBN | 1-5090-3339-4 |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Altri titoli varianti | 2016 35th International Conference of the Chilean Computer Science Society |
| Record Nr. | UNISA-996279847203316 |
| [Place of publication not identified] : , : IEEE, , 2016 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. di Salerno | ||
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3D-CFD-Simulation der Gemischbildung, Verbrennung und Emissionsentstehung Eines Hochdruck-Gas-Diesel-Brennverfahrens / / Alexandros Hatzipanagiotou
| 3D-CFD-Simulation der Gemischbildung, Verbrennung und Emissionsentstehung Eines Hochdruck-Gas-Diesel-Brennverfahrens / / Alexandros Hatzipanagiotou |
| Autore | Hatzipanagiotou Alexandros |
| Edizione | [First edition.] |
| Pubbl/distr/stampa | Berlin, Germany : , : Logos Verlag Berlin, , [2018] |
| Descrizione fisica | 1 online resource (149 pages) |
| Disciplina | 929.605 |
| Collana | Forschungsberichte Aus Dem Institut Für Kolbenmaschinen Series |
| Soggetto topico | Combustion - Research |
| ISBN | 3-8325-9053-6 |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | ger |
| Record Nr. | UNINA-9910793387803321 |
|
Hatzipanagiotou Alexandros
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| Berlin, Germany : , : Logos Verlag Berlin, , [2018] | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
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3D-CFD-Simulation der Gemischbildung, Verbrennung und Emissionsentstehung Eines Hochdruck-Gas-Diesel-Brennverfahrens / / Alexandros Hatzipanagiotou
| 3D-CFD-Simulation der Gemischbildung, Verbrennung und Emissionsentstehung Eines Hochdruck-Gas-Diesel-Brennverfahrens / / Alexandros Hatzipanagiotou |
| Autore | Hatzipanagiotou Alexandros |
| Edizione | [First edition.] |
| Pubbl/distr/stampa | Berlin, Germany : , : Logos Verlag Berlin, , [2018] |
| Descrizione fisica | 1 online resource (149 pages) |
| Disciplina | 929.605 |
| Collana | Forschungsberichte Aus Dem Institut Für Kolbenmaschinen Series |
| Soggetto topico | Combustion - Research |
| ISBN | 3-8325-9053-6 |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | ger |
| Record Nr. | UNINA-9910813199103321 |
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Hatzipanagiotou Alexandros
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| Berlin, Germany : , : Logos Verlag Berlin, , [2018] | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
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Absolutely on Music : Conversations / / Haruki Murakami, Seiji Ozawa, and translated by Jay Rubin
| Absolutely on Music : Conversations / / Haruki Murakami, Seiji Ozawa, and translated by Jay Rubin |
| Autore | Murakami Haruki <1937-> |
| Edizione | [First edition.] |
| Pubbl/distr/stampa | New York, New York : , : Alfred A. Knopf, , [2016] |
| Descrizione fisica | 1 online resource (190 pages) |
| Disciplina | 929.605 |
| Soggetto topico | Conductors (Music) |
| ISBN | 0-385-35435-5 |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Nota di contenuto | Mostly on the Beethoven Third piano concerto -- On manic record collectors -- Brahms at Carnegie Hall -- The relationship of writing to music -- What happened in the 1960s -- Eugene Ormandy's baton -- On the music of Gustav Mahler -- From Chicago blues to Shin'ichi Mori -- The joys of opera -- In a little Swiss town -- "There's no single way to teach. You make it up as you go along." |
| Record Nr. | UNINA-9910148640303321 |
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Murakami Haruki <1937->
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| New York, New York : , : Alfred A. Knopf, , [2016] | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
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Academic Integrity: Broadening Practices, Technologies, and the Role of Students : Proceedings from the European Conference on Academic Integrity and Plagiarism 2021 / / edited by Sonja Bjelobaba, Tomáš Foltýnek, Irene Glendinning, Veronika Krásničan, Dita Henek Dlabolová
| Academic Integrity: Broadening Practices, Technologies, and the Role of Students : Proceedings from the European Conference on Academic Integrity and Plagiarism 2021 / / edited by Sonja Bjelobaba, Tomáš Foltýnek, Irene Glendinning, Veronika Krásničan, Dita Henek Dlabolová |
| Edizione | [1st ed. 2022.] |
| Pubbl/distr/stampa | Cham : , : Springer International Publishing : , : Imprint : Springer, , 2022 |
| Descrizione fisica | 1 online resource (382 pages) |
| Disciplina |
929.605
371.58 |
| Collana | Ethics and Integrity in Educational Contexts |
| Soggetto topico |
Education, Higher
Educational technology Education - Philosophy International education Comparative education Higher Education Digital Education and Educational Technology Educational Philosophy International and Comparative Education Plagi |
| Soggetto genere / forma |
Congressos
Llibres electrònics |
| ISBN | 3-031-16976-X |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Nota di contenuto | Preface -- The Editorial Team -- The Editorial Team -- Sections of the book -- Section 1: Broadening theories and practices of academic integrity (Sonja Bjelobaba) -- Chapter 1. Academic integrity outreach efforts - making education accessible and inclusive (Zeenath Reza Khan, Michael Draper, Sonja Bjelobaba, Salim Razi and Shiva Sivasubramaniam) -- Chapter 2. Understanding the enablers and barriers of ethical guidance and review for academic research (Shivadas Sivasubramaniam, Zeenath Reza Khan and Salim Razi) -- Chapter 3. Comparison of institutional strategies for academic integrity in Europe and Eurasia (Irene Glendinning and Stella-Maris Orim) -- Chapter 4. Researching academic integrity: designing research to help participants give genuine responses using quantitative and qualitative methods (Inga Gaižauskaitė, Irene Glendinning, Sonja Bjelobaba, Shiva Sivasubramaniam, Salim Razı, Zeenath Reza Khan, Laura Ribeiro and Lorna Waddington) -- Section 2: Academic integrity in on-line education (Tomáš Foltýnek) -- Chapter 5. Students’ perceptions of distance learning during the COVID-19 pandemic, and its effects on academic integrity (Mariya Chankova) -- Chapter 6. Exploring models of online learning communities to expand academic integrity understanding in Chilean higher education (Beatriz Antonieta Moya and Sarah Elaine Eaton) -- Chapter 7. Transitioning from face-to-face to online exams: devising a course-specific strategy to deter cheating (Phoebe Stavride and Angelika Kokkinaki) -- Chapter 8. Assessing students online – enablers and barriers to using e-proctoring and alternative methods (Jarret Dyer, Zeenath Reza Khan and Christopher Hill) -- Section 3: Academic integrity and technology (Dita Henek Dlabolová) -- Chapter 9. Cross-language plagiarism detection: a case study of European languages academic works (Oleg Bakhteev, Yury Chekhovich, Andrey Grabovoy, Georgy Gorbachev, Tatiana Gorlenko, Kirill Grashchenkov, Andrey Ivakhnenko, Aleksandr Kildyakov, Andrey Khazov, Vladislav Komarnitsky, Artemiy Nikitov, Aleksandr Ogaltsov and Aleksandra Sakharova) -- Chapter 10. Decision support for marker detection of Contract Cheating: an investigative Corpus Linguistic approach (Olumide Popoola) -- Chapter 11. Data mining of online quiz log files: creation of automated tools for identification of possible academic misconduct in a large STEM course (Emma Spanswick, Marzena Kastyak-Ibrahim, Corey Flynn, Sarah Elaine Eaton and Nancy Chi) -- Section 4: Student involvement in building a culture of academic integrity: Research about students (Irene Glendinning) -- Chapter 12. Academic Integrity Socialization and Language Competency Training for Canadian Undergraduate Students during the COVID-19 Pandemic (Elaine Khoo and Michèle Irwin) -- Chapter 13. Self-report of academic misconduct practices among university students in Portugal (Inês Morais Caldas, Maria Lurdes Pereira, Rui Azevedo and Áurea Madureira-Carvalho) -- Chapter 14. Student values and attitudes to plagiarism in Montenegro (Marijana Blečić, Igor Lakić, Dijana Vučković, Sanja Peković, Božidar Popović and Rajka Đoković) -- Chapter 15. Transitional module on Academic Integrity to help K-12 students in the UAE prepare for next stage of education (Zeenath Reza Khan, Ajrina Hysaj, Serene John and Sara Khan) -- Chapter 16. Compromising academic integrity in internationalisation of higher education (Erja Moore) -- Section 5: Student involvement in building a culture of academic integrity: supporting students as researchers (Veronika Králíková) -- Chapter 17. Academic ghost writing and commercial contract cheating provision on a freelancing website (Thomas Lancaster and Benjamin Dent) -- Chapter 18. The role of students in the preservation of academic integrity (Pegi Pavletić and Martin Hammerbauer) -- Chapter 19. The Role of Reddit Communities in Enabling Contract Cheating (Thomas Lancaster and Rahul Gupta) -- Section 6: Celebrating breadth in research and action to support academic integrity (Teddi Fishman) -- Chapter 20. Talking to a wall: The response of (German) universities to documentations of plagiarism in doctoral theses (Debora Weber-Wulff) -- Concluding remarks (Sonja Bjelobaba) -- Index. . |
| Record Nr. | UNINA-9910637709503321 |
| Cham : , : Springer International Publishing : , : Imprint : Springer, , 2022 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
| ||
Accelerating Science and Engineering Discoveries Through Integrated Research Infrastructure for Experiment, Big Data, Modeling and Simulation [[electronic resource] ] : 22nd Smoky Mountains Computational Sciences and Engineering Conference, SMC 2022, Virtual Event, August 23–25, 2022, Revised Selected Papers / / edited by Kothe Doug, Geist Al, Swaroop Pophale, Hong Liu, Suzanne Parete-Koon
| Accelerating Science and Engineering Discoveries Through Integrated Research Infrastructure for Experiment, Big Data, Modeling and Simulation [[electronic resource] ] : 22nd Smoky Mountains Computational Sciences and Engineering Conference, SMC 2022, Virtual Event, August 23–25, 2022, Revised Selected Papers / / edited by Kothe Doug, Geist Al, Swaroop Pophale, Hong Liu, Suzanne Parete-Koon |
| Edizione | [1st ed. 2022.] |
| Pubbl/distr/stampa | Cham : , : Springer Nature Switzerland : , : Imprint : Springer, , 2022 |
| Descrizione fisica | 1 online resource (406 pages) |
| Disciplina | 929.605 |
| Collana | Communications in Computer and Information Science |
| Soggetto topico |
Computer systems
Artificial intelligence Image processing - Digital techniques Computer vision Social sciences - Data processing Application software Education - Data processing Computer System Implementation Artificial Intelligence Computer Imaging, Vision, Pattern Recognition and Graphics Computer Application in Social and Behavioral Sciences Computer and Information Systems Applications Computers and Education |
| ISBN | 3-031-23606-8 |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Nota di contenuto | Foundational Methods Enabling Science in an Integrated Ecosystem -- Computational Workflow for Accelerated Molecular Design Using Quantum Chemical Simulations and Deep Learning Models -- Self-learning Data Foundation for Scientific AI -- Preconditioners for batched iterative linear solvers on GPUs -- Mobility Aware Computation Offloading Model for Edge Computing -- Science and Engineering Applications Requiring and Motivating an Integrated Ecosystem -- Machine Learning for First Principles Calculations of Material Properties for Ferromagnetic Materials -- A Vision for Coupling Operation of US Fusion Facilities with HPC Systems and the Implications for Workflows and Data Management -- At-the-edge Data Processing for Low Latency High Throughput Machine Learning Algorithms -- Implementation of a framework for deploying AI inference engines in FPGAs -- Systems and Software Advances Enabling an Integrated Science and Engineering Ecosystem -- Calvera: A Platform for the Interpretation and Analysis of Neutron Scattering Data -- Virtual Infrastructure Twins: Software Testing Platforms for Computing and Instrument Ecosystems -- The INTERSECT Open Federated Architecture for the Laboratory of the Future -- Real-Time Edge Processing During Data Acquisition -- Towards a Software Development Framework for Interconnected Science Ecosystems -- Deploying Advanced Technologies for an Integrated Science and Engineering Ecosystem -- Adrastea: An Efficient FPGA Design Environment for Heterogenous Scientific Computing and Machine Learning -- Toward an Autonomous Workflow for Bragg Peak Detection at SNS -- Industrial experience deploying heterogeneous platforms for use in multi-modal power systems design workflows -- Self-Describing Digital Assets and their applications in an Integrated Science and Engineering Ecosystem -- Simulation Workflows in Minutes, at Scale for Next-Generation HPC -- Scientific Data Challenges -- Machine Learning approaches to High Throughput Phenotyping -- SMC 2022 Data Challenge: Summit Spelunkers Solution for Challenge 2 -- Usage Pattern Analysis for The Summit Login Nodes -- Finding Hidden Patterns in High Resolution Wind Flow Model Simulations -- Investigating Relationships in Environmental and Community Health: Correlations Of Environment, Urban Morphology, And Socio-Economic Factors In The Los Angeles Metropolitan Statistical Area -- Patterns and Predictions: Generative Adversarial Networks for Neighborhood Generation. |
| Record Nr. | UNISA-996508666903316 |
| Cham : , : Springer Nature Switzerland : , : Imprint : Springer, , 2022 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. di Salerno | ||
| ||
Accelerating Science and Engineering Discoveries Through Integrated Research Infrastructure for Experiment, Big Data, Modeling and Simulation : 22nd Smoky Mountains Computational Sciences and Engineering Conference, SMC 2022, Virtual Event, August 23–25, 2022, Revised Selected Papers / / edited by Kothe Doug, Geist Al, Swaroop Pophale, Hong Liu, Suzanne Parete-Koon
| Accelerating Science and Engineering Discoveries Through Integrated Research Infrastructure for Experiment, Big Data, Modeling and Simulation : 22nd Smoky Mountains Computational Sciences and Engineering Conference, SMC 2022, Virtual Event, August 23–25, 2022, Revised Selected Papers / / edited by Kothe Doug, Geist Al, Swaroop Pophale, Hong Liu, Suzanne Parete-Koon |
| Edizione | [1st ed. 2022.] |
| Pubbl/distr/stampa | Cham : , : Springer Nature Switzerland : , : Imprint : Springer, , 2022 |
| Descrizione fisica | 1 online resource (406 pages) |
| Disciplina |
929.605
004 |
| Collana | Communications in Computer and Information Science |
| Soggetto topico |
Computer systems
Artificial intelligence Image processing - Digital techniques Computer vision Social sciences - Data processing Application software Education - Data processing Computer System Implementation Artificial Intelligence Computer Imaging, Vision, Pattern Recognition and Graphics Computer Application in Social and Behavioral Sciences Computer and Information Systems Applications Computers and Education |
| ISBN | 3-031-23606-8 |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Nota di contenuto | Foundational Methods Enabling Science in an Integrated Ecosystem -- Computational Workflow for Accelerated Molecular Design Using Quantum Chemical Simulations and Deep Learning Models -- Self-learning Data Foundation for Scientific AI -- Preconditioners for batched iterative linear solvers on GPUs -- Mobility Aware Computation Offloading Model for Edge Computing -- Science and Engineering Applications Requiring and Motivating an Integrated Ecosystem -- Machine Learning for First Principles Calculations of Material Properties for Ferromagnetic Materials -- A Vision for Coupling Operation of US Fusion Facilities with HPC Systems and the Implications for Workflows and Data Management -- At-the-edge Data Processing for Low Latency High Throughput Machine Learning Algorithms -- Implementation of a framework for deploying AI inference engines in FPGAs -- Systems and Software Advances Enabling an Integrated Science and Engineering Ecosystem -- Calvera: A Platform for the Interpretation and Analysis of Neutron Scattering Data -- Virtual Infrastructure Twins: Software Testing Platforms for Computing and Instrument Ecosystems -- The INTERSECT Open Federated Architecture for the Laboratory of the Future -- Real-Time Edge Processing During Data Acquisition -- Towards a Software Development Framework for Interconnected Science Ecosystems -- Deploying Advanced Technologies for an Integrated Science and Engineering Ecosystem -- Adrastea: An Efficient FPGA Design Environment for Heterogenous Scientific Computing and Machine Learning -- Toward an Autonomous Workflow for Bragg Peak Detection at SNS -- Industrial experience deploying heterogeneous platforms for use in multi-modal power systems design workflows -- Self-Describing Digital Assets and their applications in an Integrated Science and Engineering Ecosystem -- Simulation Workflows in Minutes, at Scale for Next-Generation HPC -- Scientific Data Challenges -- Machine Learning approaches to High Throughput Phenotyping -- SMC 2022 Data Challenge: Summit Spelunkers Solution for Challenge 2 -- Usage Pattern Analysis for The Summit Login Nodes -- Finding Hidden Patterns in High Resolution Wind Flow Model Simulations -- Investigating Relationships in Environmental and Community Health: Correlations Of Environment, Urban Morphology, And Socio-Economic Factors In The Los Angeles Metropolitan Statistical Area -- Patterns and Predictions: Generative Adversarial Networks for Neighborhood Generation. |
| Record Nr. | UNINA-9910645891503321 |
| Cham : , : Springer Nature Switzerland : , : Imprint : Springer, , 2022 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
| ||
