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[null,"1.","Record Nr.",null,"UNINA9910815144003321"]
[null,null,"Titolo",null,"The international journal of assembly technology and management : robot intelligence for coordinated manipulation and its industrial application / / editors, Chenguang Yang [and three others]"]
[null,null,"Pubbl/distr/stampa",null,"[Place of publication not identified] : , : Emerald Publishing Limited, , [2020]"]
[{"$nulls":4},"©2020"]
[null,null,"ISBN",null,"1-83982-809-9"]
[null,null,"Descrizione fisica",null,"1 online resource (165 pages) : illustrations"]
[null,null,"Collana",null,"Assembly Automation ; ; Volume 40, Number 1"]
[null,null,"Disciplina",null,"670.427"]
[null,null,"Soggetti",null,"Assembly-line methods - Automation"]
[{"$nulls":4},"Automation"]
[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."]
[null,"2.","Record Nr.",null,"UNINA9910906193803321"]
[null,null,"Titolo",null,"Reciprocal Learning between Canada and China in Language and Culture Education / / edited by Shijing Xu, Luxin Yang, Yuhan Deng, Shuai Fu"]
[null,null,"Pubbl/distr/stampa",null,"Cham : , : Springer Nature Switzerland : , : Imprint : Palgrave Macmillan, , 2024"]
[null,null,"ISBN",null,"9783031692802"]
[{"$nulls":4},"3031692802"]
[null,null,"Edizione",null,"[1st ed. 2024.]"]
[null,null,"Descrizione fisica",null,"1 online resource (273 pages)"]
[null,null,"Collana",null,"Intercultural Reciprocal Learning in Chinese and Western Education, , 2946-4188"]
[null,null,"Disciplina",null,"378.71"]
[null,null,"Soggetti",null,"International education"]
[{"$nulls":4},"Comparative education"]
[{"$nulls":4},"Teachers - Training of"]
[{"$nulls":4},"Education, Higher"]
[{"$nulls":4},"Education - Curricula"]
[{"$nulls":4},"International and Comparative Education"]
[{"$nulls":4},"Teaching and Teacher Education"]
[{"$nulls":4},"Higher Education"]
[{"$nulls":4},"Curriculum Studies"]
[null,null,"Lingua di pubblicazione",null,"Inglese"]
[null,null,"Formato",null,"Materiale a stampa"]
[null,null,null,"Livello bibliografico","Monografia"]
[null,null,null,"Nota di bibliografia","Includes bibliographical references and index."]
[null,null,"Nota di contenuto",null,"Section I:Background of the FieldworkChapter 1. English as A Second/Additional Language in Canada and English as A Foreign/International Language in China -- Section II: Sister School Fieldwork -- Chapter 2. Tracing the Canada-China Sister Schools’ Reciprocal Learning Practices in Synchronous Communication: A Case Study -- Chapter 3. A Narrative Inquiry in Student-Centred Teaching Practices in A Windsor-Beijing Sister School Pair -- Chapter 4. Reciprocal Learning Between Canadian and Chinese Sister Schools Through the Compiling of a Bilingual and Cross-cultural Reading Kit -- Chapter 5. Exploring Chinese and Canadian Educational Practitioners’ Perceptions of Calligraphy Learning: A Cross-Cultural Study -- Section III: Pre-service Teacher Education RLP Fieldwork -- Chapter 6. Cultural Shock and Adaption: Canadian Pre-service Teachers’ Reciprocal Learning Experience -- Chapter 7. Canadian Pre-service Teachers’ "]
[{"$nulls":4},"International Intercultural Experience: Learning Chinese as a Foreign Language and Teaching English as a Foreign Language in China -- Chapter 8. Chinese Non-English Major Teacher Candidates’ International Intercultural Experience: Changing Perspectives on EFL through their International Intercultural Learning in Canada -- Section IV: Research by Canadian RLP Participants -- Chapter 9. Speaking for Purpose: A Case Study of Bilingual Immersion Pedagogy Within the Chinese EFL Context -- Chapter 10. Canadian Pre-service Teachers’ English Language and Cultural Teaching in the Cross-cultural Context -- Section V: Commentary -- Chapter 11 Commentary: What Pedagogical Principles Underlie Reciprocal Intercultural Learning? -- Chapter 12 Fieldwork, Reciprocal Learning, and Growth Mindset: Sustained by Indigenous Spirit and ‘Great Learning’."]
[null,null,null,"Sommario/riassunto","This book engages Canadian and Chinese language educators, graduate students, pre-service teachers, school principals and teachers in an enhanced reciprocal learning process by collaboratively reflecting on and writing up the school-based language curriculum projects and school-based language teachers’ professional development activities in Canada-China sister schools. The objective is to develop a knowledge base for generating positive, reciprocal, practitioner knowledge and methods to improve language teaching effectiveness in either context. In this way, it contributes to a public discussion of the reciprocal educational impacts on the knowledge-based society in Canada and China. Shijing Xu is Canada Research Chair and Professor in the Faculty of Education at the University of Windsor, Canada. Luxin Yang is Professor of Applied Linguistics at the National Research Centre for Foreign Language Education and Associate Dean of School of English and International Studies at Beijing Foreign Studies University, China. Yuhan Deng is a PhD candidate in the Faculty of Education at the University of Windsor, Canada. Shuai Fu is Lecturer in the Foreign Language Department of Beijing Union University, China. ."]
[null,"3.","Record Nr.",null,"UNISA996660361603316"]
[null,null,"Titolo",null,"Advances in Intelligent Data Analysis XXIII : 23rd International Symposium on Intelligent Data Analysis, IDA 2025, Konstanz, Germany, May 7–9, 2025, Proceedings / / edited by Georg Krempl, Kai Puolamäki, Ioanna Miliou"]
[null,null,"Pubbl/distr/stampa",null,"Cham : , : Springer Nature Switzerland : , : Imprint : Springer, , 2025"]
[null,null,"ISBN",null,"3-031-91398-1"]
[null,null,"Edizione",null,"[1st ed. 2025.]"]
[null,null,"Descrizione fisica",null,"1 online resource (XVI, 486 p. 117 illus., 111 illus. in color.)"]
[null,null,"Collana",null,"Lecture Notes in Computer Science, , 1611-3349 ; ; 15669"]
[null,null,"Disciplina",null,"005.7"]
[null,null,"Soggetti",null,"Database management"]
[{"$nulls":4},"Education - Data processing"]
[{"$nulls":4},"Image processing - Digital techniques"]
[{"$nulls":4},"Computer vision"]
[{"$nulls":4},"Artificial intelligence"]
[{"$nulls":4},"Machine learning"]
[{"$nulls":4},"Natural language processing (Computer science)"]
[{"$nulls":4},"Database Management System"]
[{"$nulls":4},"Computers and Education"]
[{"$nulls":4},"Computer Imaging, Vision, Pattern Recognition and Graphics"]
[{"$nulls":4},"Artificial Intelligence"]
[{"$nulls":4},"Machine Learning"]
[{"$nulls":4},"Natural Language Processing (NLP)"]
[null,null,"Lingua di pubblicazione",null,"Inglese"]
[null,null,"Formato",null,"Materiale a stampa"]
[null,null,null,"Livello bibliografico","Monografia"]
[null,null,"Nota di contenuto",null,"Applications of Data Science -- Credal Knowledge Tracing for Imprecise and Uncertain MCQ -- Development of Models to Quantify Training Load in Outdoor Running using Inertial Sensors -- Estimating the Learning Capacity of Bacterial Metabolic Networks -- Semi-supervised learning with pairwise instance comparisons for medical instance classification -- Local-global Data Augmentation for Contrastive Learning in Static Sign Language Recognition -- SiamCircle: Trajectory Representation Learning in Free Settings -- Synthetic Tabular Data Detection In the Wild -- Assessing the Impact of Graph Structure Learning in Graph Deviation Networks -- Foundations of Data Science -- The When and How of Target Variable Transformations -- Balancing "]
[{"$nulls":4},"performance and scalability of demand forecasting ML models -- Balancing global importance and source proximity for personalized recommendations using random walk length -- Counterintuitive Behavior of Clustering Quality: Findings for K-Means on Synthetic and Real Data -- BOWSA: a contribution of sensitivity analysis to improve Bayesian optimization for parameter tuning -- Overfitting in Combined Algorithm Selection and Hyperparameter Optimization -- Local Subgroup Discovery on Attributed Network Graphs -- Imposing Constraints in Probabilistic Circuits via Gradient Optimization -- Natural Language Processing -- Improving Next Tokens via Second-Last Predictions with ’Generate and Refine’ -- Detection of Large Language Model Contamination with Tabular Data -- Imbalanced Data Clustering via Targeted Data Augmentation Using GMM and LLM -- Make Literature-Based Discovery Great Again through Reproducible Pipelines -- Extracting information in a low-resource setting: case study on bioinformatics workflows -- Vocabulary Quality in NLP Datasets: An Autoencoder-Based Framework Across Domains and Languages -- Temporal and Streaming Data Expertise Prediction of Tetris Players Using Eye Tracking Information -- Integrating Inverse and Forward Modeling for Sparse Temporal Data from Sensor Networks -- Bridging Spatial and Temporal Contexts: Sparse Transfer Learning -- Meta-learning and Data Augmentation for Stress Testing Forecasting Models -- Pragmatic Paradigm for Multi-stream Regression -- Two-in-one Models for Event Prediction and Time Series Forecasting. Comparison of Four Deep Learning Approaches to Simulate a Digital Patient under Anesthesia -- An Analysis of Temporal Dropout in Earth Observation Time Series for Regression Tasks -- Performative Drift Resistant Classification using Generative Domain Adversarial Networks -- Explainable and Interpretable Data Science -- Extracting Moore Machines from Transformers using Queries and Counterexamples -- Obtaining Example-Based Explanations from Deep Neural Networks -- Relevance-aware Algorithmic Recourse -- Expanding Polynomial Kernels for Global and Local Explanations of Support Vector Machines -- A Constrained Declarative Based Approach for Explainable Clustering."]
[null,null,null,"Sommario/riassunto","This volume constitutes the proceedings of the 23rd International Symposium on Intelligent Data Analysis, IDA 2025, which was held in Konstanz, Germany, during May 7–9, 2025. The 35 full papers included in the proceedings were carefully reviewed and selected from 91 submissions. They were organized in topical sections as follows: Applications of data science, foundations of data science; natural language processing; temporal and streaming data; and explainable and interpretable data science. ."]