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Record Nr. |
UNINA9911047688203321 |
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Autore |
Swaroop Abhishek |
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Titolo |
Proceedings of Data Analytics and Management : ICDAM 2025, Volume 2 / / edited by Abhishek Swaroop, Bal Virdee, Sérgio Duarte Correia, Zdzislaw Polkowski |
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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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9783032030726 |
9783032030719 |
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Edizione |
[1st ed. 2026.] |
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Descrizione fisica |
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1 online resource (793 pages) |
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Collana |
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Lecture Notes in Networks and Systems, , 2367-3389 ; ; 1600 |
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Disciplina |
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Soggetti |
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Computational intelligence |
Quantitative research |
Telecommunication |
Computational Intelligence |
Data Analysis and Big Data |
Communications Engineering, Networks |
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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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AI-Powered Workforce Optimization: A Robust Model for Managing Complex Supply Chain Dynamics in MNC Companies -- Advancements in Agriculture Disease Detection: Employing Federated Learning for Plant Leaves -- Enhancing Botnet Detection through Deep Learning and Representation Learning -- Secure Blockchain Node Certification and PBFT Con-sensus for Fog Computing -- A Heap-based Automated ICU Bed Allocation Optimization Mechanism for Prioritizing Medical Care -- Evaluating the Practicality of Language Models on Edge devices for Sensor Data Analysis: A Sensible Approach? -- Oil Spill Detection in Heterogeneous Environments Using YOLOv9 with Aerial Imagery -- Oil Spill Detection in Heterogeneous Environments Using YOLOv9 with Aerial Imagery -- House of Mirrors: A survey on Hallucination Detection and Mitigation via Decoding Techniques in Language Models. -- House of Mirrors: A survey on Hallucination Detection and Mitigation via Decoding Techniques in Language Models. |
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Sommario/riassunto |
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This book includes original unpublished contributions presented at the |
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International Conference on Data Analytics and Management (ICDAM 2025), held at London Metropolitan University, London, UK, during June 2025. The book covers the topics in data analytics, data management, big data, computational intelligence, and communication networks. The book presents innovative work by leading academics, researchers, and experts from industry which is useful for young researchers and students. The book is divided into ten volumes. |
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