Kooperativer Bibliotheksverbund

UID:

Format: 1 online resource (177 pages)

Edition: 1st ed. 2024.

ISBN: 9783031563881

Series Statement: Studies in Computational Intelligence, 1153

Content: This book reports state-of-the-art results in Software Engineering, Artificial Intelligence, Networking and Parallel/Distributed Computing. This edited book presents original papers on both theory and practice. It addresses foundations, state-of-the-art problems and solutions, and crucial challenges.

Note: Develop a System to Analyze Logs of a Given System Using Machine Learning -- Study on Locality, Fairness, and Optimal Resource Allocation in Cluster Scheduling -- Digital word-of-mouth and purchase intention. An empirical study in millennial female and consumers -- Alignment of Business Process and Information System Models through Explicit Traceability -- An Assessment of Fintech for Open Banking: Data Security and Privacy Strategies from the Perspective of Fintech Users.

Additional Edition: Print version: Lee, Roger Software Engineering, Artificial Intelligence, Networking and Parallel/Distributed Computing Cham : Springer,c2024 ISBN 9783031563874

Language: English

DOI: 10.1007/978-3-031-56388-1

URL: Volltext  (URL des Erstveröffentlichers)

UID:

Format: X, 174 p. 84 illus., 57 illus. in color. , online resource.

Edition: 1st ed. 2024.

ISBN: 9783031563881

Series Statement: Studies in Computational Intelligence, 1153

Content: This book reports state-of-the-art results in Software Engineering, Artificial Intelligence, Networking and Parallel/Distributed Computing. This edited book presents original papers on both theory and practice. It addresses foundations, state-of-the-art problems and solutions, and crucial challenges.

Note: Develop a System to Analyze Logs of a Given System Using Machine Learning -- Study on Locality, Fairness, and Optimal Resource Allocation in Cluster Scheduling -- Digital word-of-mouth and purchase intention. An empirical study in millennial female and consumers -- Alignment of Business Process and Information System Models through Explicit Traceability -- An Assessment of Fintech for Open Banking: Data Security and Privacy Strategies from the Perspective of Fintech Users.

In: Springer Nature eBook

Additional Edition: Printed edition: ISBN 9783031563874

Additional Edition: Printed edition: ISBN 9783031563898

Additional Edition: Printed edition: ISBN 9783031563904

Language: English

DOI: 10.1007/978-3-031-56388-1

URL: https://doi.org/10.1007/978-3-031-56388-1

UID:

Format: 1 online resource (177 pages)

Edition: First edition.

ISBN: 9783031563881

Series Statement: Studies in Computational Intelligence Series ; Volume 1153

Note: Intro -- Editorial Review Board -- Foreword -- Contents -- Develop a System to Analyze Logs of a Given System Using Machine Learning -- 1 Introduction -- 2 Literature Review -- 3 Research Design -- 3.1 Data Collection -- 3.2 Data Pre-processing -- 3.3 Feature Selection -- 3.4 Error Detection and Classification -- 3.5 Evaluation -- 4 Findings -- 4.1 Model Training -- 4.2 Model Evaluation -- 5 Proposed Model -- 6 Conclusions -- References -- Study on Locality, Fairness, and Optimal Resource Allocation in Cluster Scheduling -- 1 Introduction -- 1.1 Delay Scheduling -- 2 Experiments -- 2.1 Analysis of the Influence of the Maximum Skipcount D -- 2.2 Evaluation of HFS and Delay Scheduling -- 2.3 Macrobenchmarks -- 2.4 Microbenchmarks -- 3 Reproduction of Two Macrobenchmarks -- 3.1 IO-Heavy Workload-Comparing Running Times -- 3.2 Obstacles -- 3.3 Our Setup -- 3.4 Our Results -- 3.5 IO-Heavy Workload-Comparing Speedup -- 4 Conclusion -- References -- Digital Word-of-Mouth and Purchase Intention. An Empirical Study in Millennial Female and Consumers -- 1 Introduction -- 2 Materials and Methods -- 3 Results -- 3.1 Hypothesis Testing -- 3.2 Ordinal Logistics Regression Test -- 4 Discussion and Conclusion -- References -- Alignment of Business Process and Information System Models Through Explicit Traceability -- 1 Introduction -- 2 Background of the Traceability Method of refspsarticle1 -- 3 Our Contribution -- 3.1 Integated Trace Meta-Model Improvement -- 3.2 BPSUC Diagram Extension -- 4 Implementation -- 5 Related Works -- 6 Conclusion -- References -- An Assessment of Fintech for Open Banking: Data Security and Privacy Strategies from the Perspective of Fintech Users -- 1 Introduction -- 2 Literature Review -- 2.1 Fintech for Open Banking in Australia -- 2.2 Importance of Data Security and Privacy -- 2.3 Importance of Customer Trust. , 3 Theoretical Basis for a Research Model -- 3.1 Technology Adoption Models -- 3.2 Users' Cognitive and Behavioural Perspectives -- 4 Research Model and Proposition -- 4.1 Data Security and Privacy -- 4.2 Government Regulations -- 4.3 Social Influence -- 4.4 Facilitation Conditions -- 4.5 Users' Trust -- 4.6 Customer Use Experience -- 5 Research Design -- 6 Conclusion -- References -- Using Key Point Detection to Extract Three Dimensional Phenotypes of Corn -- 1 Introduction -- 2 Data Collection and Processing -- 2.1 Data Annotation and Enhancement -- 3 V7POSE-GSConv for Key Point Detection -- 3.1 YOLOv7-POSE -- 3.2 GS-ConV -- 3.3 V7POSE-GSConV -- 4 Experiments and Results Analysis -- 4.1 Key Point Detection Result -- 4.2 3D Phenotype Result -- 5 Conclusion -- References -- Optic Cup Segmentation from Fundus Image Using Swin-Unet -- 1 Introduction -- 2 Related Work -- 3 OC Segmentation Using Swin-Unet -- 4 Experiment -- 4.1 Dataset -- 4.2 Pre-processing -- 4.3 Compared Models -- 4.4 Results -- 4.5 Discussion -- 5 Conclusion -- References -- From Above and Beyond: Decoding Urban Aesthetics with the Visual Pollution Index -- 1 Introduction -- 2 Literature Survey -- 3 Problem Statement -- 4 Methodology -- 4.1 Data Collection -- 4.2 Data Preprocessing -- 4.3 Object Detection and Visual Pollutant Classification -- 4.4 Visual Pollution Index (VPI) Calculation -- 4.5 Rationale Behind the Multiplicative Approach -- 5 Experimental Analysis and On-Site Validation -- 5.1 Object Detection Techniques and Evaluation -- 5.2 Physical Survey of VPI -- 6 Comparative Analysis -- 7 Use Cases -- 8 Conclusion -- 9 Future Scope -- References -- Subcellular Protein Patterns Classification Using Extreme Gradient Boosting with Deep Transfer Learning as Feature Extractor -- 1 Introduction -- 2 Methodology -- 2.1 Transfer Learning of Convolutional Neural Network. , 2.2 Extreme Gradient Boosting -- 2.3 Proposed Model -- 2.4 Model Evaluation -- 3 Experiments -- 3.1 Data Preparation -- 3.2 Creating Model and Tuning -- 4 Results and Evaluations -- 5 Conclusion -- References -- Building a Shapley FinBERTopic System to Interpret Topics and Articles Affecting Stock Prices -- 1 Introduction -- 2 Related Works -- 3 Shapley FinBERTopic System -- 4 Experiments -- 5 Conclusions and Future Works -- References -- Can a Large Language Model Generate Plausible Business Cases from Agent-Based Simulation Results? -- 1 Introduction -- 2 Related Work -- 2.1 Understanding the Content of the Agent Model -- 2.2 Business Case -- 2.3 Grounding of Agent Simulation Results with Actual Business Cases -- 3 Proposed Method -- 3.1 Outline -- 3.2 Systematic Analysis of Simulation Results -- 3.3 Virtual Case Generation with Large Language Model -- 4 Experiment -- 4.1 Agent Model Used in This Paper -- 4.2 Simulation Settings -- 4.3 Analysis of Simulation Logs [23] -- 4.4 Virtual Case Generation with Large Language Model -- 5 Discussion -- 5.1 Potential Utilization in the Case Method -- 5.2 Implications for Agent-Model Extension -- 5.3 Expansion of the Application Area of the Proposed Method -- 6 Concluding Remarks -- References -- Analyzing the Growth Patterns of GitHub Projects to Construct Best Practices for Project Managements -- 1 Introduction -- 2 Proposed Method -- 2.1 Time-Series Data -- 2.2 Analysis -- 2.3 The Pattern Analysis for Issue Metrics -- 3 Case Studies -- 3.1 Preliminary Study -- 3.2 Experimental Setup -- 3.3 Typical Patterns of Issue Count Transitions -- 3.4 Ratios of Each Pattern -- 4 Discussion -- 4.1 Ideal Pattern -- 4.2 Treats of Validity -- 5 Related Works -- 6 Conclusion -- References.

Additional Edition: Print version: Lee, Roger Software Engineering, Artificial Intelligence, Networking and Parallel/Distributed Computing Cham : Springer,c2024 ISBN 9783031563874

Language: English

UID:

Format: x, 174 Seiten : , Illustrationen, Diagramme.

ISBN: 978-3-031-56387-4

Series Statement: Studies in computational intelligence volume 1153

Additional Edition: Erscheint auch als Online-Ausgabe ISBN 978-3-031-56388-1

Language: English

Subjects: Computer Science

Keywords: Konferenzschrift