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Artificial Intelligence for Digital Transformations : First International Conference, AIDT 2026, Baku, Azerbaijan, June 22-24, 2026, Proceedings / edited by Cecilia Zanni-Merk, Elviz Ismayilov, Nigar Ismayilova, Stéphane Genaud, Ulviya Abdulkarimova.
Springer Nature - Springer Nature Link Journals and eBooks - Fully Open Access Available online
View online- Format:
- Book
- Series:
- Communications in Computer and Information Science, 1865-0937 ; 3023
- Language:
- English
- Subjects (All):
- Artificial intelligence.
- Cooperating objects (Computer systems).
- Machine learning.
- Multiagent systems.
- Artificial Intelligence.
- Cyber-Physical Systems.
- Machine Learning.
- Multiagent Systems.
- Local Subjects:
- Artificial Intelligence.
- Cyber-Physical Systems.
- Machine Learning.
- Multiagent Systems.
- Physical Description:
- 1 online resource (XIV, 440 p. 84 illus.). 74 illus. in color.
- Edition:
- 1st ed. 2026.
- Place of Publication:
- Cham : Springer Nature Switzerland : Imprint: Springer, 2026.
- Summary:
- This open access book constitutes the proceedings of the First International Conference on Artificial Intelligence for Digital Transformations, AIDT 2026, which took place in Baku, Azerbaijan, during June 22-24, 2026. The 28 full papers included in this book were carefully reviewed and selected from 167 submissions. They were organized in topical sections as follows: AI in Emerging Digital Infrastructures; AI-Driven Automation and Optimization; Core AI Models and Learning Paradigms; Governance, Strategy, and Human–Organization Interaction; and Sustainability and Responsible Innovation. .
- Contents:
- AI in Emerging Digital Infrastructures.
- From Detection to Explanation: Combining Stream Reasoning and Concept Induction in Smart Farming.
- Improving Taboo-Word Generation in Turkic language with Morphology-Aware Filtering and Diversity Selection.
- A domain ontology for cooperative perception in the Internet of Mobile Things.
- AI-Driven Automation and Optimization.
- Cognitive Load Estimation through Eye-Tracking in Industrial Tasks: A Pilot Study.
- A Financial-Risk Aware Machine Learning Framework for Industrial Convergence.
- Hybrid Wavelet–LSTM and Weibull Risk Modeling for Early Fault Prediction Using Accelerometer-Based Vibration Data in Rotating Machinery.
- AI-Driven Digital Twin Framework for Risk-Aware Predictive Maintenance in Electrical Control Systems.
- AI-Driven Decision Support for Wind-BESS Dispatch Under Export Caps: A Behavioral Cloning Approach.
- Core AI Models and Learning Paradigms.
- Relational Verification, Feature Sensitivity, and Cross-City Transfer in Heterogeneous Graph Learning for Urban Functional Zone Classification.
- Bridging Prompting and Semantic Grounding: A Unified Evaluation Framework for Document-Level Relation Extraction.
- A Divide-and-Conquer Framework for Query-Efficient Causal Discovery with Large Language Models.
- Towards a non-monotonic neuro-symbolic framework: application to outlier mitigation during training.
- Lexical ambiguity in French: linguistic issues and interpretation by artificial intelligence models.
- Improving Named Entity Recognition for the Azerbaijani Language Using Neural and Conditional Random Fields-based Models.
- An approach for evaluating recommender systems: assessing usefulness and coherence through item relationships.
- Deep Features, Classical Models: Binary vs. Multiclass Deepfake Detection.
- Can We Trust LLMs for Mental Health-Based Decisions? A Causality Aware Reliability Analysis.
- Real-Time Azerbaijani Sign Language Sentence Recognition: Comparative Evaluation of Cosine Retrieval and Seq2Seq Approaches.
- Adapting Large-Scale Neural TTS Models to Low-Resource Languages: A Comparative Study.
- Federated Learning Approach to Autoencoder-Based Feature Extraction for Pneumonia Detection.
- Benchmarking Algorithmic Fairness in AI Recruitment: A Comparative Study of Mitigation Strategies and the FIS Metric.
- Handoff Hallucinations: Taxonomy, Benchmark, and Mitigation for Multi-Agent Pipeline Failures.
- AzText: Curating Web-Scale Pretraining Data for a Low-Resource Language.
- Governance, Strategy, and Human–Organization Interaction.
- An Ontology-Driven Recommender System for Enhancing Workplace Practices.
- Statutory AI: Aligning Large Language Models With Legal Norms.
- Explainability of Tourism Risk Assessment by Leveraging Fuzzy Ontology Properties.
- Sustainability and Responsible Innovation.
- Efficiency Driven Digital Transformation for Sustainable Real Time Monitoring of High Pressure South Caspian Wells.
- A Community-Driven Dataset and Protocol for Azerbaijani Sign Language Recognition: Advancing Digital Inclusion through Human-Centered AI.
- Notes:
- Print version record.
- ISBN:
- 9783032313195
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