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Proceedings of Data Analytics and Management : ICDAM 2024, Volume 1 / / edited by Abhishek Swaroop, Bal Virdee, Sérgio Duarte Correia, Zdzislaw Polkowski



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Autore: Swaroop Abhishek Visualizza persona
Titolo: Proceedings of Data Analytics and Management : ICDAM 2024, Volume 1 / / edited by Abhishek Swaroop, Bal Virdee, Sérgio Duarte Correia, Zdzislaw Polkowski Visualizza cluster
Pubblicazione: Singapore : , : Springer Nature Singapore : , : Imprint : Springer, , 2025
Edizione: 1st ed. 2025.
Descrizione fisica: 1 online resource (839 pages)
Disciplina: 005.7565
Soggetto topico: Computational intelligence
Telecommunication
Computer networks - Security measures
Computational Intelligence
Communications Engineering, Networks
Mobile and Network Security
Altri autori: VirdeeBal  
CorreiaSérgio Duarte  
PolkowskiZdzislaw  
Nota di contenuto: Exploring the Relationship between Stress and Health Parameters: A IoT-ML Driven Approach -- Analysing and Predicting the Risk Factors of Cervical Cancer Using Machine Learning Techniques -- Incorporating AR And IoT into Education to Create a Smart Environment -- Words to Emotions: A Deep Learning Perspectives on Text Sentiments -- Diagnosing faults across machines using Intelligence Deep Neural Network.
Sommario/riassunto: This book includes original unpublished contributions presented at the International Conference on Data Analytics and Management (ICDAM 2024), held at London Metropolitan University, London, UK, during June 2024. 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 six volumes.
Titolo autorizzato: Proceedings of Data Analytics and Management  Visualizza cluster
ISBN: 981-9633-52-4
Formato: Materiale a stampa
Livello bibliografico Monografia
Lingua di pubblicazione: Inglese
Record Nr.: 9911015688603321
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Serie: Lecture Notes in Networks and Systems, . 2367-3389 ; ; 1297