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Record Nr. |
UNINA9911047811903321 |
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Autore |
Vimal Vrince |
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Titolo |
Multi-Strategy Learning Environment : Proceedings of ICMSLE 2025 / / edited by Vrince Vimal, Isidoros Perikos, Hamed Taherdoost |
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Pubbl/distr/stampa |
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Singapore : , : Springer Nature Singapore : , : 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 (792 pages) |
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Collana |
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Algorithms for Intelligent Systems, , 2524-7573 |
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Altri autori (Persone) |
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PerikosIsidoros |
TaherdoostHamed |
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Disciplina |
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Soggetti |
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Computational intelligence |
Artificial intelligence |
Image processing - Digital techniques |
Computer vision |
Natural language processing (Computer science) |
Computational Intelligence |
Artificial Intelligence |
Computer Imaging, Vision, Pattern Recognition and Graphics |
Natural Language Processing (NLP) |
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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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Enhancing Fake News Detection: A Conceptual Framework Integrating Transformer-Based Models with Multimodal Deep Learning -- Proposed Image Preprocessing Techniques for Enhanced Disease Detection in Tea Leaves -- Effective delineation of tumor from MRI using enhanced Flower Pollination Optimization Algorithm.-DDOS Attack Detection and Prevention Based on THC-SSL-DOS and Weka Machine Learning Tool -- LangBridge: A Framework for Indian Regional Language to English Translation.-AN AUTOMATED CLASSIFICATION SYSTEM FOR DEPRESSION DETECTION USING TEXT AND AUDIO ANALYSIS WITH MACHINE LEARNING.-Intelligent File Analysis and Protection System with AI-Driven Access Control and Multilayered Security -- ML-Based Systems for Identifying Hate Memes In Social Media -- Etc. . |
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Sommario/riassunto |
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This book presents selected papers from International Conference on |
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Multi-Strategy Learning Environment (ICMSLE 2025), held at Graphic Era Hill University, Dehradun, India, during 26–27 February 2025. This book presents current research in machine learning techniques, deep learning theories and practices, interpretability and explainability of AI algorithms, game theory and learning, multi-strategy learning (MSL) in distributed and streaming environments, and adaptive data analysis and selective inference. |
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