Digital Business and Intelligent Systems (eBook)

17th International Baltic Conference, Baltic DB&IS, Tartu, Estonia, June 28-July 1, 2026, Proceedings
Artikelnummer: 978-3-032-30863-4
Einband: PDF
Verfügbarkeit: Download, sofort verfügbar (Link per E-Mail)
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.- Foundations, Methods, and Systems Engineering

.- Information Systems Engineering: A Journey Through Half a Century of History.
.- When AI Changes the Rules: Managing Resistance in IT Projects through a Maturity Framework.
.- Towards a Fractal-based System Architecture for LLM-based Multiagent Systems.

.- Applications of Intelligent Systems

.- Towards Fully Synthetic Schema-based Tabular Test Data Generationin Estonian E-Government Settings.
.- Phase-Based Safety Analysis of Automated Driving System Using Simulations.
.- A Dual-Stage Cascade Deep Learning Framework for Automated Road Defect Detection and Severity Assessment.

.- Human-Centric Intelligent Systems

.- Digital and Traditional Educational Games: Children’s Engagement and Problem-Solving Strategies in Early Childhood Education.
.- A Modular System for VR-Based Upper-Limb Rehabilitation: Adaptive Visual Feedback and Structured Kinematic Data Pipeline.
.- A Predictive Anthropometric Data Infrastructure for 3D Body Modeling.

.- Socio-Technical Systems

.- Quality Characteristics of Cyber-Physical-Social Systems: A Systematic Literature Review.
.- Man–LLM Shared Graph Workspace: Spec-First NL-to-VIS via Serialisation.
.- Constraint-Aware Data Collection and Observational Analysis of Digital Labor Platforms.

.- Data Science and Analytics in Education

.- Ensuring Data Privacy and Utility in Synthetic Data Generation for Analysis of International Student Admissions Data.
.- Integrating the Data Science into the K–12 Education: A Spiral Curriculum Model.
.- Hybrid Vision-Language Extraction for Inclusive and Accessible Educational Content.
.- Quantifying Success: Establishing Benchmark Retention Rates in Undergraduate CS Programs.

.- Digitalization and Intelligent Systems for Organisations

.- Governing AI Agents in Organizations: Toward an Opportunity- and Risk-Based Framework.
.- From Process Model to Fractal Enterprise Model: Practical Generation and Lessons Learned.
.- Digital Twin-Driven Supply Chain Resilience with Predictive and Optimization Techniques.
.- Understanding Generative AI Adoption in Development Work: The Role of Developer Experience.


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.- Foundations, Methods, and Systems Engineering

.- Information Systems Engineering: A Journey Through Half a Century of History.
.- When AI Changes the Rules: Managing Resistance in IT Projects through a Maturity Framework.
.- Towards a Fractal-based System Architecture for LLM-based Multiagent Systems.

.- Applications of Intelligent Systems

.- Towards Fully Synthetic Schema-based Tabular Test Data Generationin Estonian E-Government Settings.
.- Phase-Based Safety Analysis of Automated Driving System Using Simulations.
.- A Dual-Stage Cascade Deep Learning Framework for Automated Road Defect Detection and Severity Assessment.

.- Human-Centric Intelligent Systems

.- Digital and Traditional Educational Games: Children’s Engagement and Problem-Solving Strategies in Early Childhood Education.
.- A Modular System for VR-Based Upper-Limb Rehabilitation: Adaptive Visual Feedback and Structured Kinematic Data Pipeline.
.- A Predictive Anthropometric Data Infrastructure for 3D Body Modeling.

.- Socio-Technical Systems

.- Quality Characteristics of Cyber-Physical-Social Systems: A Systematic Literature Review.
.- Man–LLM Shared Graph Workspace: Spec-First NL-to-VIS via Serialisation.
.- Constraint-Aware Data Collection and Observational Analysis of Digital Labor Platforms.

.- Data Science and Analytics in Education

.- Ensuring Data Privacy and Utility in Synthetic Data Generation for Analysis of International Student Admissions Data.
.- Integrating the Data Science into the K–12 Education: A Spiral Curriculum Model.
.- Hybrid Vision-Language Extraction for Inclusive and Accessible Educational Content.
.- Quantifying Success: Establishing Benchmark Retention Rates in Undergraduate CS Programs.

.- Digitalization and Intelligent Systems for Organisations

.- Governing AI Agents in Organizations: Toward an Opportunity- and Risk-Based Framework.
.- From Process Model to Fractal Enterprise Model: Practical Generation and Lessons Learned.
.- Digital Twin-Driven Supply Chain Resilience with Predictive and Optimization Techniques.
.- Understanding Generative AI Adoption in Development Work: The Role of Developer Experience.


accessibilitysupport@springernature.com
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VerlagSpringer International Publishing
EinbandPDF
Erscheinungsjahr2026
Seitenangabe334 S.
AusgabekennzeichenEnglisch
AbbildungenXXI, 334 p. 76 illus., 64 illus. in color.
Masse33'295 KB
PlattformPDF
ReiheCommunications in Computer and Information Science; Computer Science; Computer Science ; Springer Nature Proceedings Computer Science
AutorMatulevicius, Raimundas (Hrsg.) / Robal, Tarmo (Hrsg.) / Kornyshova, Elena (Hrsg.) / Nikiforova, Anastasija (Hrsg.) / Liiv, Innar (Hrsg.)

Alle Bände der Reihe "Communications in Computer and Information Science; Computer Science; Computer Science (R0); Springer Nature Proceedings Computer Science"

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