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  • 1
    Online Resource
    Online Resource
    Biologically Inspired Techniques in Many Criteria Decision Making : Proceedings of BITMDM 2021 (2022)
    Singapore :Springer Nature Singapore :
    Details
    UID:
    almahu_9949315747802882
    Format: XIV, 735 p. 312 illus., 210 illus. in color. , online resource.
    Edition: 1st ed. 2022.
    ISBN: 9789811687396
    Series Statement: Smart Innovation, Systems and Technologies, 271
    Content: This book includes best-selected, high-quality research papers presented at Second International Conference on Biologically Inspired Techniques in Many Criteria Decision Making (BITMDM 2021) organized by Department of Information & Communication Technology, Fakir Mohan University, Balasore, Odisha, India, during December 20-21, 2021. This proceeding presents the recent advances in techniques which are biologically inspired and their usage in the field of many criteria decision making. The topics covered are biologically inspired algorithms, nature-inspired algorithms, multi-criteria optimization, multi-criteria decision making, data mining, big-data analysis, cloud computing, IOT, machine learning and soft computing, smart technologies, crypt-analysis, cognitive informatics, computational intelligence, artificial intelligence and machine learning, data management exploration and mining, computational intelligence, and signal and image processing.
    Note: Cloud-based Smart Grids: Opportunities and Challenges -- A Resource Aware Load Balancing Strategy for Real-Time, Cross-Vertical IoT Applications -- An Elitist Artificial - electric - field - algorithm - based Artificial Neural Network for Financial Time Series Forecasting -- COVID - 19 Severıty Predıctıons: An Analysis Usıng Correlatıon Measures -- Antenna Array Optimization For Side Lobe Level: A Brief Review -- Accuracy Analysis for Predicting Heart Attacks Based on Various Machine Learning Algorithms -- Link Recommendation for Social Influence Maximization -- Performance Analysis of State-of-the art Classifiers and Stack Ensemble Model for Liver Disease Diagnosis -- CryptedWe: An end-to-encryption with fake news detection messaging system -- Enabling Data Security in Electronic Voting System using Blockchain -- Prediction of Used Car Prices Using Machine Learning -- Complexity Classification of Object-oriented Projects Based on Class Model Information Using Quasi-opposition Rao Algorithm Based Neural Networks -- Mood Based Movie Recommendation System.
    In: Springer Nature eBook
    Additional Edition: Printed edition: ISBN 9789811687389
    Additional Edition: Printed edition: ISBN 9789811687402
    Additional Edition: Printed edition: ISBN 9789811687419
    Language: English
    DOI: 10.1007/978-981-16-8739-6
    URL: https://doi.org/10.1007/978-981-16-8739-6
    URL: Volltext  (URL des Erstveröffentlichers)
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  • 2
    Online Resource
    Online Resource
    Matthew's account of the massacre of the innocents in light of its reception history (2021)
    London : T&T Clark | London : Bloomsbury Publishing
    Details
    UID:
    gbv_1775824551
    Format: 1 Online-Ressource , illustrations
    Edition: Also issued in print: T&T Clark, 2021
    ISBN: 9780567699558 , 0567699552
    Series Statement: Scriptural traces: critical perspectives on the reception and influence of the Bible 27
    Content: Preface -- Acknowledgments -- Abbreviations -- 1. Matthew and Reception History -- 2. A Close Reading of Matthew 2:16-18 -- 3. Massacre of the Innocents in Early Patristic Tradition (Second to Fifth Centuries) -- 4. Massacre of the Innocents from Sixth Century to 1516 -- 5. Massacre of the Innocents from 1517 -- 6. Visual Interpretations of the Massacre of the Innocents -- 7. Concluding Reflections -- Bibliography -- Index.
    Content: "Sung Cho addresses the seeming contradiction of Herod the Great's massacre in Matthew 2:16-18, questioning why such a tragedy had to occur, why it was included in the good news of Jesus, and what connection it has to ancient prophecies. In creating a reception history of the Massacre of the Innocents, Cho progresses through two millennia worth of interpretation and depiction to highlight key works for discussion. Beginning with a close reading of Matthew 1:16-18, Cho moves to analyse depictions of the tragedy in the Early Patristic Tradition, from the sixth century to the early modern period, and thus to the present day; complete with an examination of visual interpretations of the massacre. Cho's examination provides a positive step to understanding the depths of human suffering with the help of many diverse perspectives."--
    Note: Includes bibliographical references and index , Also issued in print: T&T Clark, 2021. , Barrierefreier Inhalt: Compliant with Level AA of the Web Content Accessibility Guidelines. Content is displayed as HTML full text which can easily be resized or read with assistive technology, with mark-up that allows screen readers and keyboard-only users to navigate easily
    Additional Edition: ISBN 9780567699534
    Additional Edition: ISBN 9780567699572
    Additional Edition: ISBN 9780567699541
    Additional Edition: ISBN 9780567699565
    Additional Edition: ISBN 9780567699534
    Additional Edition: Erscheint auch als Druck-Ausgabe Cho, Sung J. Matthew's account of the massacre of the innocents in light of its reception history London : T&T Clark, 2022 ISBN 9780567699534
    Language: English
    Keywords: Kindermord in Bethlehem ; Rezeption ; Geschichte ; Electronic books ; Hochschulschrift
    DOI: 10.5040/9780567699558
    URL: lizenzpflichtig
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  • 3
    Book
    Book
    Matthew's account of the massacre of the innocents in light of its reception history / (2023)
    London ; New York :T&T Clark,
    Details
    UID:
    almahu_BV048650933
    Format: x, 288 Seiten : , Illustrationen.
    Edition: Paperback edition
    ISBN: 978-0-567-69957-2
    Series Statement: The Library of New Testament Studies 649
    Content: "Sung Cho addresses the seeming contradiction of Herod the Great’s massacre in Matthew 2:16-18, questioning why such a tragedy had to occur, why it was included in the good news of Jesus, and what connection it has to ancient prophecies. In creating a reception history of the Massacre of the Innocents, Cho progresses through two millennia worth of interpretation and depiction to highlight key works for discussion. Beginning with a close reading of Matthew 2:16-18, Cho moves to analyze depictions of the tragedy in the Early Patristic Tradition, from the sixth century to the early modern period, and thus to the present day; complete with an examination of visual interpretations of the massacre. Cho’s examination provides a positive step to understanding the depths of human suffering with the help of many diverse perspectives."
    Note: Dissertation Catholic University of America 2019
    Additional Edition: Äquivalent
    Additional Edition: Erscheint auch als Online-Ausgabe, PDF ISBN 978-0-567-69954-1
    Additional Edition: Erscheint auch als Online-Ausgabe ISBN 978-0-567-69956-5
    Language: English
    Subjects: Theology
    RVK:
    BC 7220
    Keywords: Kindermord in Bethlehem ; Rezeption ; Hochschulschrift ; Criticism, interpretation, etc
    URL: Inhaltsverzeichnis
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  • 4
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    Online Resource
    Investing the ASEAN way : theories and practices of economic integration in Southeast Asia (2023)
    Cambridge, United Kingdom : Cambridge University Press
    Details
    UID:
    gbv_1827894458
    Format: 1 Online-Ressource (xxix, 288 Seiten)
    ISBN: 9781009223331
    Series Statement: Integration through law : the role of law and the rule of law in ASEAN integration
    Content: In recent decades, South East Asia has become one of the world's most popular destinations for foreign investment. The member states of the Association of Southeast Asian Nations (ASEAN) have employed varying modalities to pursue first security and then economic cooperation. This book explores regional law and governance in ASEAN through the lens of its regulation of foreign investment. It adopts a new framework to identify the unique ontological autonomy of the ASEAN Investment Regime beyond a simple aggregation of its individual member states. It deploys a sociology-led approach (especially constructivism) and emphasizes ideational factors (such as culture and norms) that guide state actions from within. The book explores the manner in which ASEAN's history and culture have fundamentally shaped its foreign investment policies, leading to outcomes that often depart fundamentally from the external structure and script of Global Investment Law.
    Additional Edition: ISBN 9781009223362
    Additional Edition: Erscheint auch als Druck-Ausgabe Cho, Sung-joon, 1966 - Investing the ASEAN way Cambridge : Cambridge University Press, 2023 ISBN 9781009223362
    Language: English
    DOI: 10.1017/9781009223331
    URL: lizenzpflichtig
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  • 5
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    Online Resource
    Pattern Recognition : 7th Asian Conference, ACPR 2023, Kitakyushu, Japan, November 5-8, 2023, Proceedings, Part III (2023)
    Cham :Springer Nature Switzerland :
    Details
    UID:
    almahu_9949599172402882
    Format: XIII, 401 p. 141 illus., 129 illus. in color. , online resource.
    Edition: 1st ed. 2023.
    ISBN: 9783031476655
    Series Statement: Lecture Notes in Computer Science, 14408
    Content: This three-volume set LNCS 14406-14408 constitutes the refereed proceedings of the 7th Asian Conference on Pattern Recognition, ACPR 2023, held in Kitakyushu, Japan, in November 2023. The 93 full papers presented were carefully reviewed and selected from 164 submissions. The conference focuses on four important areas of pattern recognition: pattern recognition and machine learning, computer vision and robot vision, signal processing, and media processing and interaction, covering various technical aspects.
    Note: artificial intelligence -- computer networks -- computer science -- computer systems -- computer vision -- databases -- education -- engineering -- image analysis -- image processing -- image segmentation -- internet learning -- machine learning -- mathematics -- neural networks -- object recognition -- pattern recognition semantics -- signal processing.
    In: Springer Nature eBook
    Additional Edition: Printed edition: ISBN 9783031476648
    Additional Edition: Printed edition: ISBN 9783031476662
    Language: English
    DOI: 10.1007/978-3-031-47665-5
    URL: https://doi.org/10.1007/978-3-031-47665-5
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  • 6
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    Online Resource
    Pattern Recognition : 7th Asian Conference, ACPR 2023, Kitakyushu, Japan, November 5-8, 2023, Proceedings, Part I (2023)
    Cham :Springer Nature Switzerland :
    Details
    UID:
    almahu_9949599172602882
    Format: XXI, 433 p. 176 illus., 158 illus. in color. , online resource.
    Edition: 1st ed. 2023.
    ISBN: 9783031476341
    Series Statement: Lecture Notes in Computer Science, 14406
    Content: This three-volume set LNCS 14406-14408 constitutes the refereed proceedings of the 7th Asian Conference on Pattern Recognition, ACPR 2023, held in Kitakyushu, Japan, in November 2023. The 93 full papers presented were carefully reviewed and selected from 164 submissions. The conference focuses on four important areas of pattern recognition: pattern recognition and machine learning, computer vision and robot vision, signal processing, and media processing and interaction, covering various technical aspects.
    Note: artificial intelligence -- computer networks -- computer science -- computer systems -- computer vision -- databases -- education -- engineering -- image analysis -- image processing -- image segmentation -- internet learning -- machine learning -- mathematics -- neural networks -- object recognition -- pattern recognition semantics -- signal processing.
    In: Springer Nature eBook
    Additional Edition: Printed edition: ISBN 9783031476334
    Additional Edition: Printed edition: ISBN 9783031476358
    Language: English
    DOI: 10.1007/978-3-031-47634-1
    URL: https://doi.org/10.1007/978-3-031-47634-1
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  • 7
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    Online Resource
    Pattern Recognition : 7th Asian Conference, ACPR 2023, Kitakyushu, Japan, November 5-8, 2023, Proceedings, Part II (2023)
    Cham :Springer Nature Switzerland :
    Details
    UID:
    almahu_9949599172502882
    Format: XIV, 425 p. 162 illus., 149 illus. in color. , online resource.
    Edition: 1st ed. 2023.
    ISBN: 9783031476372
    Series Statement: Lecture Notes in Computer Science, 14407
    Content: This three-volume set LNCS 14406-14408 constitutes the refereed proceedings of the 7th Asian Conference on Pattern Recognition, ACPR 2023, held in Kitakyushu, Japan, in November 2023. The 93 full papers presented were carefully reviewed and selected from 164 submissions. The conference focuses on four important areas of pattern recognition: pattern recognition and machine learning, computer vision and robot vision, signal processing, and media processing and interaction, covering various technical aspects.
    Note: artificial intelligence -- computer networks -- computer science -- computer systems -- computer vision -- databases -- education -- engineering -- image analysis -- image processing -- image segmentation -- internet learning -- machine learning -- mathematics -- neural networks -- object recognition -- pattern recognition semantics -- signal processing.
    In: Springer Nature eBook
    Additional Edition: Printed edition: ISBN 9783031476365
    Additional Edition: Printed edition: ISBN 9783031476389
    Language: English
    DOI: 10.1007/978-3-031-47637-2
    URL: https://doi.org/10.1007/978-3-031-47637-2
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  • 8
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    Online Resource
    Biologically Inspired Techniques in Many-Criteria Decision Making : International Conference on Biologically Inspired Techniques in Many-Criteria Decision Making (BITMDM-2019) (2020)
    Cham :Springer International Publishing :
    Details
    UID:
    almahu_9948253971102882
    Format: XV, 258 p. 97 illus., 65 illus. in color. , online resource.
    Edition: 1st ed. 2020.
    ISBN: 9783030390334
    Series Statement: Learning and Analytics in Intelligent Systems, 10
    Content: This book addresses many-criteria decision-making (MCDM), a process used to find a solution in an environment with several criteria. In many real-world problems, there are several different objectives that need to be taken into account. Solving these problems is a challenging task and requires careful consideration. In real applications, often simple and easy to understand methods are used; as a result, the solutions accepted by decision makers are not always optimal solutions. On the other hand, algorithms that would provide better outcomes are very time consuming. The greatest challenge facing researchers is how to create effective algorithms that will yield optimal solutions with low time complexity. Accordingly, many current research efforts are focused on the implementation of biologically inspired algorithms (BIAs), which are well suited to solving uni-objective problems. This book introduces readers to state-of-the-art developments in biologically inspired techniques and their applications, with a major emphasis on the MCDM process. To do so, it presents a wide range of contributions on e.g. BIAs, MCDM, nature-inspired algorithms, multi-criteria optimization, machine learning and soft computing.
    Note: Chapter 1: Classification of Arrhythmia Using Artificial Neural Network with Grey Wolf Optimization -- Chapter 2: Multi-objective Biogeography-Based Optimization for Influence Maximization-Cost Minimization in Social Networks -- Chapter 3: Classification of Credit Dataset Using Improved Particle Swarm Optimization Tuned Radial Basis Function Neural Networks -- Chapter 4: Multi-verse Optimization of Multilayer Perceptrons (MV-MLPs) for Efficient Modeling and Forecasting of Crude Oil Prices Data -- Chapter 5: Application of machine learning to predict diseases based on symptoms in rural India -- Chapter 6: Classıfıcatıon of Real Tıme Noısy Fıngerprınt Images Usıng FLANN -- Chapter 7: Software Reliability Prediction with Ensemble Method and Virtual Data Point Incorporation -- Chapter 8: Hyperspectral Image Classification using Stochastic Gradient Descent based Support Vector Machine -- Chapter 9: A Survey on Ant Colony Optimization for Solving Some of the Selected NP-Hard Problem -- Chapter 10: Machine Learning Models for Stock Prediction using Real-Time Streaming Data -- Chapter 11: Epidemiology of Breast Cancer (BC) and its Early Identification via Evolving Machine Learning Classification Tools (MLCT)-A Study -- Chapter 12: Ensemble Classification Approach for Cancer Prognosis and Prediction -- Chapter 13: Extractive Odia Text Summarization System: An OCR based Approach -- Chapter 14: Predicting sensitivity of local news articles from Odia dailies -- Chapter 15: A systematic frame work using machine learning approaches in supply chain forecasting -- Chapter 16: An Intelligent system on computer-aided diagnosis for Parkinson's disease with MRI using Machine Learning -- Chapter 17: Operations on Picture Fuzzy Numbers and their Application in Multi-Criteria Group Decision Making Problems -- Chapter 18: Some Generalized Results on Multi-Criteria Decision Making Model using Fuzzy TOPSIS Technique -- Chapter 19: A Survey on FP-Tree Based Incremental Frequent Pattern Mining -- Chapter 20: Improving Co-expressed Gene Pattern Finding Using Gene Ontology -- Chapter 21: Survey of Methods Used for Differential Expression Analysis on RNA Seq Data -- Chapter 22: Adaptive Antenna Tilt for Cellular Coverage Optimization in Suburban Scenario -- Chapter 23: A survey of the different itemset representation for candidate.
    In: Springer eBooks
    Additional Edition: Printed edition: ISBN 9783030390327
    Additional Edition: Printed edition: ISBN 9783030390341
    Additional Edition: Printed edition: ISBN 9783030390358
    Language: English
    DOI: 10.1007/978-3-030-39033-4
    URL: https://doi.org/10.1007/978-3-030-39033-4
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  • 9
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    Online Resource
    Intelligent Data Engineering and Automated Learning - IDEAL 2021 : 22nd International Conference, IDEAL 2021, Manchester, UK, November 25-27, 2021, Proceedings (2021)
    Cham :Springer International Publishing :
    Details
    UID:
    almahu_9949210929302882
    Format: XVIII, 649 p. 224 illus., 173 illus. in color. , online resource.
    Edition: 1st ed. 2021.
    ISBN: 9783030916084
    Series Statement: Information Systems and Applications, incl. Internet/Web, and HCI ; 13113
    Content: This book constitutes the refereed proceedings of the 22nd International Conference on Intelligent Data Engineering and Automated Learning, IDEAL 2021, which took place during November 25-27, 2021. The conference was originally planned to take place in Manchester, UK, but was held virtually due to the COVID-19 pandemic. The 61 full papers included in this book were carefully reviewed and selected from 85 submissions. They deal with emerging and challenging topics in intelligent data analytics and associated machine learning paradigms and systems. Special sessions were held on clustering for interpretable machine learning; machine learning towards smarter multimodal systems; and computational intelligence for computer vision and image processing.
    Note: Main Track -- A Comparison of Machine Learning Approaches for Predicting In-Car Display Production Quality -- A Parallel Variable Neighborhood Search for Solving Real-World Production-Scheduling Problems -- Inheritances of Orthogonality in the Bio-inspired Layered Networks -- A Neural Architecture for Detecting Identifier Renaming from Diff -- Spell Checker Application Based on Levenshtein Automaton -- Ensemble Synthetic Oversampling with Manhattan Distance for Unbalanced Hyperspectral Data -- AutoML technologies for the identification of sparse models -- A Hierarchical Multi-Label Classification of Multi-Resident Activities -- Fast and Optimal Planner for the Discrete Grid-Based Coverage Path-Planning Problem -- Plagiarism Detection by Usage of Encoplot and Transformers -- Drift Detection in Text Data with Document Embeddings -- Validation of Video Retrieval by Kappa Measure for Inter-Judge Agreement -- Multi Language Application of Previously Developed Transcripts Classifier -- A complexity measure for binary classification problems based on lost points -- Linear Concept Approximation for Multilingual Document Recommendation -- Unsupervised Detection of Solving Strategies for Competitive Programming -- Application of long short-term memory neural networks for electric arc furnace modelling -- An Empirical Study of the Impact of Field Features in Learning-to-rank Method -- An Optimized Evidential Artificial Immune Recognition System based on Genetic Algorithm -- New Arabic Medical Dataset for Diseases Classification -- Improving Maximum Likelihood Estimation using Marginalization and Black-Box Variational Inference -- A Deep Learning-Based Approach for Train Arrival Time Prediction -- A Hybrid Approach for Predicting Bitcoin Price using Bi-LSTM and Bi-RNN Based Neural Network -- DC-Deblur: A Dilated Convolutional Network for Single Image Deblurring -- Time-series in Hyper-parameter Initialization of Machine Learning Techniques -- Prediction of Maintenance Equipment Failures Using Automated Machine Learning -- Learning Inter-Lingual Document Representations via Concept Compression -- Mixture-based probabilistic graphical models for the partial label ranking problem -- From classification to visualization: a two way trip -- Neural Complexity Assessment: A Deep Learning Approach to Readability Classification for European Portuguese Corpora -- Countering misinformation through semantic-aware multilingual models -- Genetic and Ant Colony algorithms to solve the multi-TSP -- Explainable AI (XAI) in Healthcare - Opportunities, Gaps and Challenges and a New Way to Look the Problem Space -- End-to-End Deep Learning for Detecting Metastatic Breast Cancer in Axillary Lymph Node from Digital Pathology Images -- SFU-CE: Skyline Frequent-Utility Itemset Discovery Using the Cross-Entropy Method -- Evaluating Football Player Actions during Counterattacks -- An Intelligent Decision Support System for Production Planning in Garments Industry -- Learning Dynamic Connectivity with Residual-Attention Network for Autism Classification in 4D fMRI Brain Images -- "A Profile on Twitter Shadowban: an AI Ethics -- position paper on Free-Speech" -- Meta-Feature Extraction Strategies for Active Anomaly Detection -- An implementation of the "Guess who?" game using CLIP -- Directional Graph Transformer-based Control Flow Embedding for Malware Classification -- Violence Detection with Audio inside the Car -- Evaluating Uni-dimensional Convolutional Neural Networks to Forecast the Influent pH of Wastewater Treatment Plants -- LSTM neural network modeling of wind speed and correlation analysis of wind and waves -- Finding Local Explanations through Masking Models -- Wind Turbine Modelling based on Neural Networks: a First Approach -- Multi-Attribute Forecast of the Price in the Iberian Electricity Market -- Tracking the temporal-evolution of supernova bubbles in numerical simulations -- SOMiMS - Topographic Mapping in the Model Space -- Fair Regret Minimization Queries -- Chimera: A Hybrid Machine Learning-Driven Multi-Objective Design Space Exploration Tool for FPGA High-Level Synthesis -- Special Session on Clustering for Interpretable Machine Learning -- Detecting Communities in Feature-Rich Networks with a K-Means Method -- Meta-learning based feature selection for clustering -- ACHC: Associative Classifier based on Hierarchical Clustering -- Special Session on Machine Learning towards Smarter Multimodal Systems -- Multimodal Semi-supervised Bipolar Disorder Classification -- Developments on support vector machines for multiple-expert learning -- WalkingStreet: understanding human mobility phenomena through a mobile application -- Indoor Positioning System for Ubiquitous Computing Environments -- Special Session on Computational Intelligence for Computer Vision and Image Processing -- T Line and C Line Detection and Ratio Reading of the Ovulation Test Strip Based on Deep Learning -- Radar echo image prediction algorithm based on multi-scale encoding-decoding network. .
    In: Springer Nature eBook
    Additional Edition: Printed edition: ISBN 9783030916077
    Additional Edition: Printed edition: ISBN 9783030916091
    Language: English
    DOI: 10.1007/978-3-030-91608-4
    URL: https://doi.org/10.1007/978-3-030-91608-4
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  • 10
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    Online Resource
    Machine Intelligence, Tools, and Applications : Proceedings of the International Conference on Machine Intelligence, Tools, and Applications-ICMITA 2024 (2024)
    Cham :Springer Nature Switzerland :
    Details
    UID:
    almahu_9949850793102882
    Format: XII, 422 p. 211 illus., 160 illus. in color. , online resource.
    Edition: 1st ed. 2024.
    ISBN: 9783031653926
    Series Statement: Learning and Analytics in Intelligent Systems, 40
    Content: This book presents the recent advances including tools and techniques in the constantly changing landscape of machine learning (ML). This would enable the readers with a strong understanding of critical issues in ML by providing both broad and detailed perspectives on cutting-edge theories, algorithms, and tools. This will become a single source of reference on conceptual, methodological, technical, and managerial issues, as well as provide insight into emerging trends and future opportunities in the discipline of ML. This book contains altogether 36 chapters in the area of ML and its applications.
    Note: Fuzzy Guided Genetic Algorithm Routing for Energy Conservation in Wireless Sensor Networks -- Comparative Analysis of Prediction Models for Software Bug Prediction -- Mandelbug Classification Engine Transfer Learning and NLP Approach -- Software Maintenance Prediction Using Regression Models -- Rough Set ELM Classifier and Deep Architecture for Remote Sensing Images -- Design of an Efficient Model for Satellite Image Classification Using Graph Neural Networks and Elephant Herding Optimization -- Multifaceted Analysis of Climate Trends and Air Quality in Indian Metropolises A Machine Learning and Time Series Forecasting Approach -- Machine Learning based Analysis and Forecasting of Electricity Demand in Misamis Occidental Philippines -- Implementation and Optimization of Swarm based System for Multi Agent Coordination and Task Execution in Marine Environment -- Implementing Deep NN for Plant Disease Detection and Diagnosis -- A PSO approach for two warehouse inventory problem with imperfect quality and variable discount -- Design of Intraday Stock Price Prediction Model using Machine Learning via Technical Indicators.
    In: Springer Nature eBook
    Additional Edition: Printed edition: ISBN 9783031653919
    Additional Edition: Printed edition: ISBN 9783031653933
    Additional Edition: Printed edition: ISBN 9783031653940
    Language: English
    DOI: 10.1007/978-3-031-65392-6
    URL: https://doi.org/10.1007/978-3-031-65392-6
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