Artificial Intelligence Applications and Innovations : 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 Pimenidis
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..
Medienart: |
E-Book |
---|
Erscheinungsjahr: |
2020. |
---|---|
Erschienen: |
Cham: Springer International Publishing ; 2020. Cham: Imprint: Springer ; 2020. |
Ausgabe: |
1st ed. 2020. |
Reihe: |
IFIP Advances in Information and Communication Technology - 583 |
---|
Sprache: |
Englisch |
---|
Beteiligte Personen: |
Maglogiannis, Ilias [HerausgeberIn] |
---|
Links: |
doi.org [lizenzpflichtig] |
---|
ISBN: |
---|
Themen: |
Application software. |
---|
Umfang: |
1 Online-Ressource(XXVIII, 466 p. 146 illus., 100 illus. in color.) |
---|
doi: |
10.1007/978-3-030-49161-1 |
---|
funding: |
|
---|---|
Förderinstitution / Projekttitel: |
|
PPN (Katalog-ID): |
1699180741 |
---|
LEADER | 01000cam a22002652 4500 | ||
---|---|---|---|
001 | 1699180741 | ||
003 | DE-627 | ||
005 | 20230427032023.0 | ||
007 | cr uuu---uuuuu | ||
008 | 200602s2020 gw |||||o 00| ||eng c | ||
020 | |a 9783030491611 |9 978-3-030-49161-1 | ||
024 | 7 | |a 10.1007/978-3-030-49161-1 |2 doi | |
035 | |a (DE-627)1699180741 | ||
035 | |a (DE-599)KEP052728927 | ||
035 | |a (DE-He213)978-3-030-49161-1 | ||
035 | |a (EBP)052728927 | ||
040 | |a DE-627 |b ger |c DE-627 |e rda | ||
041 | |a eng | ||
044 | |c XA-DE | ||
072 | 7 | |a UYQ |2 bicssc | |
072 | 7 | |a COM004000 |2 bisacsh | |
245 | 1 | 0 | |a Artificial Intelligence Applications and Innovations |b 16th IFIP WG 12.5 International Conference, AIAI 2020, Neos Marmaras, Greece, June 5–7, 2020, Proceedings, Part I |c edited by Ilias Maglogiannis, Lazaros Iliadis, Elias Pimenidis |
250 | |a 1st ed. 2020. | ||
264 | 1 | |a Cham |b Springer International Publishing |c 2020. | |
264 | 1 | |a Cham |b Imprint: Springer |c 2020. | |
300 | |a 1 Online-Ressource(XXVIII, 466 p. 146 illus., 100 illus. in color.) | ||
336 | |a Text |b txt |2 rdacontent | ||
337 | |a Computermedien |b c |2 rdamedia | ||
338 | |a Online-Ressource |b cr |2 rdacarrier | ||
490 | 0 | |a IFIP Advances in Information and Communication Technology |v 583 | |
490 | 0 | |a Springer eBook Collection | |
520 | |a 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. | ||
520 | |a 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. | ||
650 | 0 | |a Artificial intelligence. | |
650 | 0 | |a Computer communication systems. | |
650 | 0 | |a Application software. | |
650 | 0 | |a Database management. | |
650 | 0 | |a Data mining. | |
650 | 0 | |a Information storage and retrieval. | |
700 | 1 | |a Maglogiannis, Ilias |e herausgeberin |0 (DE-588)1213035546 |0 (DE-627)1703212797 |4 edt | |
700 | 1 | |a Iliadis, Lazaros |e herausgeberin |0 (orcid)0000-0002-6404-1528 |4 edt | |
700 | 1 | |a Pimenidis, Elias |e herausgeberin |0 (orcid)0000-0003-3593-8640 |4 edt | |
776 | 1 | |z 9783030491604 | |
776 | 1 | |z 9783030491628 | |
776 | 1 | |z 9783030491635 | |
776 | 0 | 8 | |i Erscheint auch als |n Druck-Ausgabe |z 9783030491604 |
776 | 0 | 8 | |i Erscheint auch als |n Druck-Ausgabe |z 9783030491628 |
776 | 0 | 8 | |i Erscheint auch als |n Druck-Ausgabe |z 9783030491635 |
856 | 4 | 0 | |u https://doi.org/10.1007/978-3-030-49161-1 |m X:SPRINGER |x Resolving-System |z lizenzpflichtig |
912 | |a ZDB-2-SCS |b 2020 | ||
912 | |a ZDB-2-SEB | ||
912 | |a ZDB-2-SXCS |b 2020 | ||
912 | |a GBV_ILN_21 | ||
912 | |a ISIL_DE-46 | ||
912 | |a SYSFLAG_1 | ||
912 | |a GBV_KXP | ||
912 | |a SSG-OLC-PHA | ||
912 | |a GBV_ILN_22 | ||
912 | |a ISIL_DE-18 | ||
912 | |a GBV_ILN_22_i22818 | ||
912 | |a GBV_ILN_60 | ||
912 | |a ISIL_DE-705 | ||
912 | |a GBV_ILN_62 | ||
912 | |a ISIL_DE-28 | ||
912 | |a GBV_ILN_65 | ||
912 | |a ISIL_DE-3 | ||
912 | |a GBV_ILN_100 | ||
912 | |a ISIL_DE-Ma9 | ||
912 | |a GBV_ILN_101 | ||
912 | |a ISIL_DE-Ma14 | ||
912 | |a GBV_ILN_105 | ||
912 | |a ISIL_DE-841 | ||
912 | |a GBV_ILN_120 | ||
912 | |a ISIL_DE-715 | ||
912 | |a GBV_ILN_130 | ||
912 | |a ISIL_DE-700 | ||
912 | |a GBV_ILN_132 | ||
912 | |a ISIL_DE-959 | ||
912 | |a GBV_ILN_2001 | ||
912 | |a ISIL_DE-21 | ||
912 | |a GBV_ILN_2007 | ||
912 | |a ISIL_DE-352E | ||
912 | |a GBV_ILN_2014 | ||
912 | |a ISIL_DE-90 | ||
912 | |a GBV_ILN_2015 | ||
912 | |a ISIL_DE-93 | ||
912 | |a GBV_ILN_2017 | ||
912 | |a ISIL_DE-576 | ||
912 | |a GBV_ILN_2020 | ||
912 | |a ISIL_DE-Ch1 | ||
912 | |a GBV_ILN_2027 | ||
912 | |a ISIL_DE-105 | ||
912 | |a GBV_ILN_2034 | ||
912 | |a ISIL_DE-Rt2 | ||
912 | |a GBV_ILN_2055 | ||
912 | |a ISIL_DE-840 | ||
912 | |a GBV_ILN_2059 | ||
912 | |a ISIL_DE-Kon4 | ||
912 | |a GBV_ILN_2068 | ||
912 | |a ISIL_DE-Fn1 | ||
912 | |a GBV_ILN_2106 | ||
912 | |a ISIL_DE-Stg259 | ||
912 | |a GBV_ILN_2111 | ||
912 | |a ISIL_DE-944 | ||
912 | |a GBV_ILN_2119 | ||
912 | |a ISIL_DE-943 | ||
912 | |a GBV_ILN_2143 | ||
912 | |a ISIL_DE-Rav1 | ||
912 | |a GBV_ILN_2232 | ||
912 | |a ISIL_DE-Stg258 | ||
951 | |a BO | ||
953 | |2 045F |a 006.3 | ||
980 | |2 21 |1 01 |x 0046 |b 4326557060 |h ebook_2022_springer |k Freie Nutzung im <a href='http://nbn-resolving.de/urn:nbn:de:gbv:46-campusnetz9' Target='_blank'>Campusnetz</a> der Universitaet und der Hochschulen im Lande Bremen |y zza |z 28-05-23 | ||
980 | |2 22 |1 01 |x 0018 |b 3688628071 |c 00 |f --%%-- |d --%%-- |e s |j --%%-- |h olrm-h228-scs |k Vervielfältigungen (z.B. Kopien, Downloads) sind nur von einzelnen Kapiteln oder Seiten und nur zum eigenen wissenschaftlichen Gebrauch erlaubt. Keine Weitergabe an Dritte. Kein systematisches Downloaden durch Robots. |y zi22818 |z 19-06-20 | ||
980 | |2 60 |1 01 |x 0705 |b 3688601475 |c 00 |f --%%-- |d --%%-- |e s |j --%%-- |h SpringerLink |k Vervielfältigungen (z.B. Kopien, Downloads) sind nur von einzelnen Kapiteln oder Seiten und nur zum eigenen wissenschaftlichen Gebrauch erlaubt. Keine Weitergabe an Dritte. Kein systematisches Downloaden durch Robots. |k Nur für Angehörige der HSU: Volltextzugang von außerhalb des Campus mit Anmeldung über Shibboleth mit Ihrer Bibliothekskennung |y z |z 19-06-20 | ||
980 | |2 62 |1 01 |x 0028 |b 4274234126 |h ACQ |k Vervielfältigungen (z.B. Kopien, Downloads) sind nur von einzelnen Kapiteln oder Seiten und nur zum eigenen wissenschaftlichen Gebrauch erlaubt. Die Weitergabe an Dritte sowie systematisches Downloaden sind untersagt. |y z |z 18-02-23 | ||
980 | |2 65 |1 01 |x 0003 |b 3688745264 |c 03 |f --%%-- |d ebook |e --%%-- |j --%%-- |h OLR-SEB-ZDB-2-SCS |k Vervielfältigungen (z.B. Kopien, Downloads) sind nur von einzelnen Kapiteln oder Seiten und nur zum eigenen wissenschaftlichen Gebrauch erlaubt. Die Weitergabe an Dritte sowie systematisches Downloaden sind untersagt. |y k3o |z 19-06-20 | ||
980 | |2 100 |1 01 |x 3100 |b 3688673840 |c 00 |f --%%-- |d --%%-- |e s |j --%%-- |c 09 |f --%%-- |d eBook Springer |e --%%-- |j --%%-- |h OLR-SEB |k Vervielfältigungen (z.B. Kopien, Downloads) sind nur zum eigenen wissenschaftlichen Gebrauch erlaubt. Keine Weitergabe an Dritte. Kein systematisches Downloaden durch Robots. |y z |z 19-06-20 | ||
980 | |2 101 |1 01 |x 3101 |b 3688686675 |c 00 |f --%%-- |d --%%-- |e s |j --%%-- |c 09 |f --%%-- |d eBook Springer |e --%%-- |j --%%-- |h OLR-SEB |k Vervielfältigungen (z.B. Kopien, Downloads) sind nur zum eigenen wissenschaftlichen Gebrauch erlaubt. Keine Weitergabe an Dritte. Kein systematisches Downloaden durch Robots. |y z |z 19-06-20 | ||
980 | |2 105 |1 01 |x 0841 |b 368876059X |c 05 |f --%%-- |d KaufEBook202103 |e --%%-- |j --%%-- |h OLR-ESP |k Campuslizenz Universität / Technische Hochschule Lübeck. - Vervielfältigungen (z.B. Kopien, Downloads) sind nur von einzelnen Kapiteln oder Seiten und nur zum eigenen wissenschaftlichen Gebrauch erlaubt. Keine Weitergabe an Dritte. Kein systematisches Downloaden durch Robots. |y x |z 19-06-20 | ||
980 | |2 120 |1 01 |x 0715 |b 3688170520 |c 00 |f --%%-- |d --%%-- |e g |j --%%-- |h alma |y z |z 18-06-20 | ||
980 | |2 130 |1 01 |x 0700 |b 3688691989 |h OLR-SEB |k Vervielfältigungen (z. B. Kopien, Downloads) nur für den eigenen wissenschaftlichen Gebrauch. Keine Weitergabe an Dritte. Kein systematisches Downloaden durch Robots |y z |z 19-06-20 | ||
980 | |2 132 |1 01 |x 0959 |b 3688568354 |h OLR-ESP |k Vervielfältigungen (z.B. Kopien, Downloads) sind nur von einzelnen Kapiteln oder Seiten und nur zum eigenen wissenschaftlichen Gebrauch erlaubt. Keine Weitergabe an Dritte. Kein systematisches Downloaden durch Robots. |y k |z 19-06-20 | ||
980 | |2 2001 |1 01 |x DE-21 |b 3681421315 |c 00 |f --%%-- |d --%%-- |e --%%-- |j kp |y l01 |z 02-06-20 | ||
980 | |2 2007 |1 01 |x DE-352E |b 3681509352 |c 00 |f --%%-- |d --%%-- |e n |j --%%-- |y l01 |z 02-06-20 | ||
980 | |2 2014 |1 01 |x DE-90 |b 3681509360 |c 00 |f --%%-- |d --%%-- |e --%%-- |j kp |y l01 |z 02-06-20 | ||
980 | |2 2014 |1 02 |x DE-90 |b 3681509379 |c 00 |f --%%-- |d --%%-- |e --%%-- |j kp |y l02 |z 02-06-20 | ||
980 | |2 2015 |1 01 |x DE-93 |b 3681509387 |c 00 |f --%%-- |d --%%-- |e p |j --%%-- |k Campuslizenz |y l01 |z 02-06-20 | ||
980 | |2 2017 |1 01 |x DE-576 |b 3681509395 |c 00 |f --%%-- |d --%%-- |e --%%-- |j n |k Besitznachweis BSZ nur für Dateneinspielung, keine echte Lizenz vorhanden |y l01 |z 02-06-20 | ||
980 | |2 2020 |1 01 |x DE-Ch1 |b 3681509409 |c 00 |f --%%-- |d --%%-- |e n |j --%%-- |k Campuslizenz |y l01 |z 02-06-20 | ||
980 | |2 2027 |1 01 |x DE-105 |b 3681421323 |c 00 |f --%%-- |d --%%-- |e --%%-- |j n |k Campuslizenz |y l01 |z 02-06-20 | ||
980 | |2 2034 |1 01 |x DE-Rt2 |b 3681421331 |c 00 |f --%%-- |d eBook |e --%%-- |j n |k Zugriff von allen im Hochschulnetz befindlichen Rechnern; Hochschulangehörige können auch über VPN von außerhalb des Campusnetzes zugreifen |y l01 |z 02-06-20 | ||
980 | |2 2055 |1 01 |x DE-840 |b 368142134X |c 00 |f --%%-- |d Springer E-Book |e --%%-- |j n |k Campuslizenz |y l01 |z 02-06-20 | ||
980 | |2 2059 |1 01 |x DE-Kon4 |b 3681421358 |c 00 |f --%%-- |d eBook Springer |e --%%-- |j kp |k Elektronischer Volltext - Campuslizenz |y l01 |z 02-06-20 | ||
980 | |2 2068 |1 01 |x DE-Fn1 |b 3681421366 |c 00 |f --%%-- |d eBook Springer |e --%%-- |j n |y l01 |z 02-06-20 | ||
980 | |2 2106 |1 01 |x DE-Stg259 |b 3798829713 |c 00 |f --%%-- |d eBook Springer |e --%%-- |j n |k Elektronischer Volltext |y l01 |z 11-11-20 | ||
980 | |2 2111 |1 01 |x DE-944 |b 3681421374 |c 00 |f --%%-- |d E-Book Springer |e --%%-- |j n |k Elektronischer Volltext - Campuslizenz |y l01 |z 02-06-20 | ||
980 | |2 2119 |1 01 |x DE-943 |b 3681421382 |c 00 |f --%%-- |d eBook Springer |e --%%-- |j kp |k Elektronischer Volltext - Campuslizenz |y l01 |z 02-06-20 | ||
980 | |2 2143 |1 01 |x DE-Rav1 |b 3681421390 |c 00 |f --%%-- |d E-Book Springer |e --%%-- |j n |y l01 |z 02-06-20 | ||
980 | |2 2232 |1 01 |x DE-Stg258 |b 4109587433 |c 00 |f --%%-- |d eBook Springer |e --%%-- |j n |k Elektronischer Volltext - Campuslizenz |y l01 |z 01-04-22 | ||
981 | |2 21 |1 01 |x 0046 |r https://doi.org/10.1007/978-3-030-49161-1 | ||
981 | |2 22 |1 01 |x 0018 |y Volltextzugang Campus |r https://doi.org/10.1007/978-3-030-49161-1 | ||
981 | |2 22 |1 01 |x 0018 |y Nur für Angehörige der Universität Hamburg: Volltextzugang von außerhalb des Campus |r http://emedien.sub.uni-hamburg.de/han/SpringerEbooks/doi.org/10.1007/978-3-030-49161-1 | ||
981 | |2 60 |1 01 |x 0705 |y Volltextzugang Campus |r https://doi.org/10.1007/978-3-030-49161-1 | ||
981 | |2 62 |1 01 |x 0028 |r https://doi.org/10.1007/978-3-030-49161-1 | ||
981 | |2 65 |1 01 |x 0003 |y Volltextzugang Campus |r https://doi.org/10.1007/978-3-030-49161-1 | ||
981 | |2 100 |1 01 |x 3100 |r https://doi.org/10.1007/978-3-030-49161-1 | ||
981 | |2 100 |1 01 |x 3100 |y für Uniangehörige: Zugang weltweit |r https://han.med.uni-magdeburg.de/han/SPR-eBook-ComputerScience-einzeln/doi.org/10.1007/978-3-030-49161-1 | ||
981 | |2 101 |1 01 |x 3101 |r https://doi.org/10.1007/978-3-030-49161-1 | ||
981 | |2 101 |1 01 |x 3101 |y für Uniangehörige: Zugang weltweit |r https://han.med.uni-magdeburg.de/han/SPR-eBook-ComputerScience-einzeln/doi.org/10.1007/978-3-030-49161-1 | ||
981 | |2 105 |1 01 |x 0841 |r https://doi.org/10.1007/978-3-030-49161-1 | ||
981 | |2 120 |1 01 |x 0715 |r http://49gbv-uob-primo.hosted.exlibrisgroup.com/openurl/49GBV_UOB/UOB_services_page?u.ignore_date_coverage=true&rft.mms_id=991015021062403501 | ||
981 | |2 130 |1 01 |x 0700 |r https://doi.org/10.1007/978-3-030-49161-1 | ||
981 | |2 132 |1 01 |x 0959 |y Zugriff nur für Angehörige der Hochschule Osnabrück im Hochschulnetz |r https://doi.org/10.1007/978-3-030-49161-1 | ||
981 | |2 2001 |1 01 |x DE-21 |r https://doi.org/10.1007/978-3-030-49161-1 | ||
981 | |2 2007 |1 01 |x DE-352E |r https://doi.org/10.1007/978-3-030-49161-1 | ||
981 | |2 2014 |1 01 |x DE-90 |y Zugang im Netz des KIT |r https://doi.org/10.1007/978-3-030-49161-1 | ||
981 | |2 2014 |1 02 |x DE-90 |y Zugang im Netz der HKA |r https://doi.org/10.1007/978-3-030-49161-1 | ||
981 | |2 2015 |1 01 |x DE-93 |r https://doi.org/10.1007/978-3-030-49161-1 | ||
981 | |2 2020 |1 01 |x DE-Ch1 |r https://doi.org/10.1007/978-3-030-49161-1 | ||
981 | |2 2034 |1 01 |x DE-Rt2 |r https://doi.org/10.1007/978-3-030-49161-1 | ||
981 | |2 2055 |1 01 |x DE-840 |r https://doi.org/10.1007/978-3-030-49161-1 | ||
981 | |2 2059 |1 01 |x DE-Kon4 |r https://doi.org/10.1007/978-3-030-49161-1 | ||
981 | |2 2068 |1 01 |x DE-Fn1 |r https://doi.org/10.1007/978-3-030-49161-1 | ||
981 | |2 2106 |1 01 |x DE-Stg259 |r https://doi.org/10.1007/978-3-030-49161-1 | ||
981 | |2 2111 |1 01 |x DE-944 |r https://doi.org/10.1007/978-3-030-49161-1 | ||
981 | |2 2119 |1 01 |x DE-943 |r https://doi.org/10.1007/978-3-030-49161-1 | ||
981 | |2 2143 |1 01 |x DE-Rav1 |r https://doi.org/10.1007/978-3-030-49161-1 | ||
981 | |2 2232 |1 01 |x DE-Stg258 |r https://doi.org/10.1007/978-3-030-49161-1 | ||
982 | |2 132 |1 01 |x 0959 |8 00 |a EBooks Springer Computer science | ||
982 | |2 2001 |1 01 |x DE-21 |8 00 |s s |a eBook-Springer-Computer-Science-2020 | ||
982 | |2 2027 |1 01 |x DE-105 |8 00 |s s |a ebook | ||
983 | |2 2143 |1 01 |x DE-Rav1 |8 00 |0 (DE-627)1343240476 |a eBook | ||
995 | |2 21 |1 01 |x 0046 |a ebook_2022_springer | ||
995 | |2 21 |1 01 |x 0046 |a ACQ | ||
995 | |2 22 |1 01 |x 0018 |a olrm-h228-scs | ||
995 | |2 60 |1 01 |x 0705 |a SpringerLink | ||
995 | |2 62 |1 01 |x 0028 |a ACQ | ||
995 | |2 65 |1 01 |x 0003 |a OLR-SEB-ZDB-2-SCS | ||
995 | |2 100 |1 01 |x 3100 |a OLR-SEB | ||
995 | |2 101 |1 01 |x 3101 |a OLR-SEB | ||
995 | |2 105 |1 01 |x 0841 |a OLR-ESP | ||
995 | |2 120 |1 01 |x 0715 |a alma | ||
995 | |2 130 |1 01 |x 0700 |a OLR-SEB | ||
995 | |2 132 |1 01 |x 0959 |a OLR-ESP | ||
995 | |2 132 |1 01 |x 0959 |a OLR-ESP-SCS |