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Record Nr. |
UNINA9911061845503321 |
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Autore |
Nakamatsu Kazumi |
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Titolo |
New Paradigm in AI and Concurrent Engineering : Proceedings of International Conference on AI and Concurrent Engineering (AICE 2025) / / edited by Kazumi Nakamatsu, Rupinder Singh, Kalipada Maity |
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Pubbl/distr/stampa |
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Cham : , : Springer Nature Switzerland : , : Imprint : Springer, , 2026 |
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ISBN |
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Edizione |
[1st ed. 2026.] |
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Descrizione fisica |
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1 online resource (480 pages) |
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Collana |
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Smart Innovation, Systems and Technologies, , 2190-3026 ; ; 469 |
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Altri autori (Persone) |
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Disciplina |
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Soggetti |
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Industrial engineering |
Production engineering |
Artificial intelligence |
Engineering design |
Industrial and Production Engineering |
Artificial Intelligence |
Engineering Design |
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Lingua di pubblicazione |
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Formato |
Materiale a stampa |
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Livello bibliografico |
Monografia |
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Nota di contenuto |
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Bridging Theory and Practice: Developing Virtual Classroom for Interactive Lighting Education -- Mitigating Overfitting in Tikog Grass Prediction: An Enhanced LSTM-XGBoost Model for Sustainable Handicraft Production -- Livia: An Emotion-Aware AR Companion Powered by Modular AI Agents and Progressive Memory Compression -- DATA IMPUTATION STRATEGIES FOR GRU-BASED CORN YIELD FORECASTING: A COMPARATIVE ANALYSIS OF KNN, MICE, AND EM -- Seeing is Feeling: Hyper-Real VR and Emotional Engagement - A Theory-Driven Framework for Visual Factor Design. |
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Sommario/riassunto |
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This book includes research papers presented at the International Conference on AI and Concurrent Engineering (AICE 2025) to be held at IIMT, Bhubaneswar, India, during August 23 – 24, 2025. The proceedings documents how AI systems analyse vast datasets, predict outcomes, and offer strategic insights by leveraging both historical and real-time information. The proceedings also explores how AI-driven predictive maintenance and quality control are transforming post- |
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