03251nam 22004935 450 99646579030331620200704153021.03-319-42064-X10.1007/978-3-319-42064-6(CKB)3710000000734835(DE-He213)978-3-319-42064-6(MiAaPQ)EBC5590877(PPN)194378772(EXLCZ)99371000000073483520160621d2016 u| 0engurnn|008mamaatxtrdacontentcrdamediacrrdacarrierTheory and Practice of Model Transformations[electronic resource] 9th International Conference, ICMT 2016, Held as Part of STAF 2016, Vienna, Austria, July 4-5, 2016, Proceedings /edited by Pieter Van Gorp, Gregor Engels1st ed. 2016.Cham :Springer International Publishing :Imprint: Springer,2016.1 online resource (XIV, 207 p. 66 illus.) Programming and Software Engineering ;9765Includes index.3-319-42063-1 A Domain Specific Transformation Language to Bridge Concrete and Abstract Syntax -- Model Transformation with Immutable Data -- EMG: A Domain-Specific Transformation Language for Synthetic Model Generation -- Translatability and Translation of Updated Views in Model Join -- Using ATL Transformation Services in the MDEForge Collaborative Modeling Platform -- Search-Based Model Transformations with MOMoT -- Extending Model Synchronization Results from Triple Graph Grammars to Multiple Models -- Correct Reuse of Transformations is Hard to Guarantee -- Requirements Engineering in Model-Transformation Development: An Interview-Based Study -- GECO: A Generator Composition Approach for Aspect-Oriented DSLs -- Industrial Software Rejuvenation Using Open-Source Parsers -- Automatically Deriving the Specification of Model Editing Operations from Meta-Models -- Clone Detection for Graph-Based Model Transformation Languages.This book constitutes the refereed proceedings of the 9th International Conference on Model Transformation, ICMT 2016, held in Vienna, Austria, in July 2016, as Part of STAF 2015, the federation of a number of the leading conferences on software technologies. The 13 revised papers were carefully selected from 36 submissions. The papers are organized in topical sections on model transformation languages, model transformation tools, developing model transformations, applications of model transformations, and looking ahead.Programming and Software Engineering ;9765Software engineeringSoftware Engineeringhttps://scigraph.springernature.com/ontologies/product-market-codes/I14029Software engineering.Software Engineering.005.1Van Gorp Pieteredthttp://id.loc.gov/vocabulary/relators/edtEngels Gregoredthttp://id.loc.gov/vocabulary/relators/edtMiAaPQMiAaPQMiAaPQBOOK996465790303316Theory and Practice of Model Transformations774212UNISA07567nam 22007335 450 99646535520331620200704023911.03-030-49161-710.1007/978-3-030-49161-1(CKB)4100000011273702(MiAaPQ)EBC6285019(DE-He213)978-3-030-49161-1(PPN)248394991(EXLCZ)99410000001127370220200529d2020 u| 0engurcnu||||||||txtrdacontentcrdamediacrrdacarrierArtificial Intelligence Applications and Innovations[electronic resource] 16th IFIP WG 12.5 International Conference, AIAI 2020, Neos Marmaras, Greece, June 5–7, 2020, Proceedings, Part I /edited by Ilias Maglogiannis, Lazaros Iliadis, Elias Pimenidis1st ed. 2020.Cham :Springer International Publishing :Imprint: Springer,2020.1 online resource (481 pages)IFIP Advances in Information and Communication Technology,1868-4238 ;5833-030-49160-9 Classification -- An Adaptive Approach on Credit Card Fraud Detection using Transaction Aggregation and Word Embeddings -- Boosted Ensemble Learning for Anomaly Detection in 5G RAN -- Machine Learning for Cognitive Load Classification – a Case Study on Contact-free Approach -- Real-time prediction of online shoppers' purchasing intention using random forest -- Using Classification for Traffic Prediction in Smart Cities -- Using Twitter to Predict Chart Position for Songs -- Α Benchmarking of IBM, Google and Wit Automatic Speech Recognition Systems -- Clustering - Unsupervised Learning - Analytics -- A two-levels data anonymization approach -- An innovative graph-based approach to advance feature selection from multiple textual documents -- k-means Cluster Shape Implications -- Manifold learning for innovation funding: identification of potential funding recipients -- Network aggregation to enhance results derived from multiple analytics -- PolicyCLOUD: Analytics as a Service facilitating efficient data-driven public policy management -- Demand Forecasting of Short Life Cycle Products using Data Mining Techniques -- Image Processing -- Arbitrary Scale Super-Resolution for Brain MRI Images -- Knowledge-based fusion for image tampering localization -- Transfer Learning using Convolutional Neural Network Architectures for Brain Tumor Classification from MRI Images -- Learning Algorithms -- A Novel Learning Automata-based Strategy to Generate Melodies from Chordal Inputs -- Graph Neural Networks to Advance Anticancer Drug Design -- Optimizing Self-Organizing Lists-on-Lists using Transitivity and Pursuit-Enhanced Object Partitioning -- Task-Projected Hyperdimensional Computing for Multi-Task Learning -- Neural Network Modeling -- Cross-domain Authorship Attribution Using Pre-trained Language Models -- Indoor Localization with Multi-Objective selection of Radiomap Models -- STDP Plasticity in TRN within Hierarchical Spike Timing Model of Visual Information Processing -- Tensor-based CUDA Optimization for ANN Inferencing using Parallel Acceleration on Embedded GPU -- The Random Neural Network in Price Predictions -- Object Tracking - Object Detection Systems -- Joint Multi-Object Detection and Segmentation from an Untrimmed Video -- Robust 3D Detection in Traffic Scenario with Tracking-based Coupling System -- Ontologies - AI -- Automated MeSH Indexing of Biomedical Literature using Contextualized Word Representations -- Knowledge-based Management and Reasoning on Cultural and Natural Touristic Routes -- Ontological Foundations of Modelling Security Policies for Logical Analytics -- RDF reasoning on large ontologies: a study on cultural heritage and Wikidata -- Sentiment Analysis - Recommender Systems -- A deep learning approach to aspect-based sentiment prediction -- On the reusability of sentiment analysis datasets in real-life applications -- Opinion Mining of Consumer Reviews Using Deep Neural Networks with Word-Sentiment Associations -- Sentiment Analysis on Movie Scripts and Reviews: Utilizing sentiment scores in rating prediction -- The MuseLearn platform: personalized content for museum visitors assisted by vision-based recognition and 3D pose estimation of exhibits -- Promoting Diversity in Content Based Recommendation using Feature Weighting and LSH.This 2 volume-set of IFIP AICT 583 and 584 constitutes the refereed proceedings of the 16th IFIP WG 12.5 International Conference on Artificial Intelligence Applications and Innovations, AIAI 2020, held in Neos Marmaras, Greece, in June 2020.* The 70 full papers and 5 short papers presented were carefully reviewed and selected from 149 submissions. They cover a broad range of topics related to technical, legal, and ethical aspects of artificial intelligence systems and their applications and are organized in the following sections: Part I: classification; clustering - unsupervised learning -analytics; image processing; learning algorithms; neural network modeling; object tracking - object detection systems; ontologies - AI; and sentiment analysis - recommender systems. Part II: AI ethics - law; AI constraints; deep learning - LSTM; fuzzy algebra - fuzzy systems; machine learning; medical - health systems; and natural language. *The conference was held virtually due to the COVID-19 pandemic.IFIP Advances in Information and Communication Technology,1868-4238 ;583Artificial intelligenceComputer communication systemsApplication softwareDatabase managementData miningInformation storage and retrievalArtificial Intelligencehttps://scigraph.springernature.com/ontologies/product-market-codes/I21000Computer Communication Networkshttps://scigraph.springernature.com/ontologies/product-market-codes/I13022Computer Appl. in Social and Behavioral Scienceshttps://scigraph.springernature.com/ontologies/product-market-codes/I23028Database Managementhttps://scigraph.springernature.com/ontologies/product-market-codes/I18024Data Mining and Knowledge Discoveryhttps://scigraph.springernature.com/ontologies/product-market-codes/I18030Information Storage and Retrievalhttps://scigraph.springernature.com/ontologies/product-market-codes/I18032Artificial intelligence.Computer communication systems.Application software.Database management.Data mining.Information storage and retrieval.Artificial Intelligence.Computer Communication Networks.Computer Appl. in Social and Behavioral Sciences.Database Management.Data Mining and Knowledge Discovery.Information Storage and Retrieval.006.3Maglogiannis Iliasedthttp://id.loc.gov/vocabulary/relators/edtIliadis Lazarosedthttp://id.loc.gov/vocabulary/relators/edtPimenidis Eliasedthttp://id.loc.gov/vocabulary/relators/edtMiAaPQMiAaPQMiAaPQBOOK996465355203316Artificial Intelligence Applications and Innovations1918852UNISA01555aam 2200397I 450 991071124580332120151113033654.0GOVPUB-C13-24e97a1d34ecf5149a21ec479d23a19f(CKB)5470000002481564(OCoLC)929060031(EXLCZ)99547000000248156420151113d1973 ua 0engrdacontentrdamediardacarrierSelected values of chemical thermodynamic properties part 7 Tables for the Lanthanide (Rare Earth) Elements (Elements 62-76) in the standard order of arrangement/Donald D. Wagman, Frederick D. RossiniGaithersburg, MD :U.S. Dept. of Commerce, National Institute of Standards and Technology,1973.1 online resourceNBS technical note ;270-71973.Contributed record: Metadata reviewed, not verified. Some fields updated by batch processes.Title from PDF title page.Includes bibliographical references.Selected values of chemical thermodynamic properties Wagman Donald D92335Rossini Frederick D(Frederick Dominic),1899-1990.7122Wagman Donald D92335United States.National Bureau of Standards.NBSNBSGPOBOOK9910711245803321Selected values of chemical thermodynamic properties3445213UNINA