Buch, Englisch, Format (B × H): 155 mm x 235 mm
12th International Conference, ICIM 2026, Oxford, UK, March 27–29, 2026, Revised Selected Papers, PART I
Buch, Englisch, Format (B × H): 155 mm x 235 mm
Reihe: Communications in Computer and Information Science
ISBN: 978-3-032-37752-4
Verlag: Springer
This two part volume constitutes the refereed proceedings of the 12th International Conference on Information Management, ICIM 2026, held in Oxford, UK, during March 27–29, 2026.
The 69 full papers and 13 short papers were included in these volumes were carefully reviewed and selected from 206 submissions. They are organized into the following topical sections:
Part I: Machine Learning-based Information System Management and Data Analysis Methods; Software and Intelligent Programming Design; Generative AI and Information Retrieval Based on Large Language Models; Intelligent information system and intelligent management based on multimodal data fusion.
Part II: AI-driven enterprise management process design and intelligent decision-making methods; Financial and Business Intelligence Empowered by Artificial Intelligence; AI-based intelligent education management and multimodal learning methods; Smart City Governance System and Public Management Plan; Design of Smart Healthcare Information System and Data-Driven Intelligent Diagnostic Technology.
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Research
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Fachgebiete
Weitere Infos & Material
.- Machine Learning-based Information System Management and Data Analysis Methods .
.- FAW-YOLO: A Deep Learning Solution for Protecting Maize Crops from Fall Armyworm.
.- Hybrid data-driven Ensemble Learning Framework Combining Random Forest and Recurrent Neural Networks for Accurate Precipitation Forecasting.
.- Mitigating Class Imbalance Issues in Electricity Theft Detection via a Probability-Distance Sample-Weighted Loss.
.- An SDN-Driven Supervised Machine Learning Model for Network Traffic Classification and Integrated IDS–IPS Mechanisms with Statistical Validation.
.- Using (robust) machine learning techniques for the prediction of (future) process behaviour.
.- Explainable and Fair Machine Learning Framework for Predicting Type 2 Diabetes Risk.
.- Risk Factor Prediction of Congestive Heart Failure Using Machine Learning.
.- Integrating Deep Learning and Physiological Modeling for Predicting Postpartum Complications in COVID-19–Affected Women.
.- A Decision Support System for Regulatory Compliance in Telecommunications: Machine Learning–Based License Fee Default Prediction in a Low-Resource Contex.
.- Key Technologies for Fraud Detection and Information Security Governance .
.- PrivacyRisq: Real-world Incident Severity & Quantification for Privacy Risk Assessment.
.- MA-ST-TGN: Memory-Augmented Spatiotemporal Temporal Graph Network for Advanced Fraud Detection.
.- Greenwashing vs. Authentic Sustainability: The Impact of AI-Detected Misrepresentation on Consumer Trust and Brand Loyalty.
.- QPINN-Sec: A Hybrid Quantum-Enhanced Physics Informed Neural Network for Intrusion Detection and Secure Data Sharing in IoMT Systems.
.- Data-Driven Adaptive Learning Platform for Gamified Cybersecurity Awareness.
.- Software and Intelligent Programming Design .
.- Automated Multi-Source Debugging and Natural Language Error Explanation for Dashboard Applications.
.- Metadata Card-based Analysis of Software Systems for Regulatory Compliance Check.
.- Cognitive Security and Reliability Co-Management in Software Development Pipelines.
.- An Applied Database-Centric Integration Architecture for Public-Sector Enterprise Systems.
.- Sustainable Risk Management in Agile Software Projects: Perceptions and Practices from Bangladesh.
.- Can We Just Text? Rethinking Employee Voice in Computer-Mediated Communication.
.- Development of a Personalised Cybersecurity Learning System with Knowledge Graph.
.- Generative AI and Information Retrieval Based on Large Language Models .
.- Are Large Language Models good legal advisors? A Spanish case of study.
.- A Comparative Study of NLP Methods and Large Language Models for Academic Course Syllabi Similarity.
.- Large Language Models as Cognitive-Linguistic Analysts: Evaluating Meta-Model Violation Detection via Retrieval-Augmented Grounding.
.- AI Technology Diffusion in Archival Practice: Trends, Networks, and Pathways.
.- Enhancing Reliability of GPT-Based Tutoring Information Systems: Comparing Document and Retrieval-Augmented Methods.
.- A Hidden Markov Model Framework for Fine-Grained Detection of AI-Generated Text.
.- Spatio-temporal Encoding for Descriptive Text Generation.
.- A Domain Oriented RAG Based Question Answering System for Sensor Knowledge.
.- Intelligent information system and intelligent management based on multimodal data fusion .
.- Quantum Information Synchronization for Reliability Across Multi Agent Quantum IoT.
.- Digital Twins for Sustainability in Critical Infrastructures: A Case Study on Technology Acceptance.
.- A Conceptual Model of a Service-Oriented Middleware for Smart City Applications (SOMSCA) with Data Analytics & Visualization.
.- pymcmm: Mixed-Copula Mixture Models for Clustering Mixed-Type Data in Python.
.- Designing the Integrated Model for IT Service Management.
.- Copula-Based Mixed-Frequency Vector Autoregression and its State-Space Extensions.
.- Towards Traceable Meaning in Information Systems.
.- Study and Analysis of Quantum Amplitude Estimation without Phase Estimation Sensitivity and Stability.
.- A Neuromorphically-Inspired Novel Perspective: “Never Filling” Next Generation “Living” Data Storage Systems.
