Vai al contenuto principale della pagina

Proceedings of Data Analytics and Management : ICDAM 2025, Volume 5 / / edited by Abhishek Swaroop, Bal Virdee, Sérgio Correia, Zdzislaw Polkowski



(Visualizza in formato marc)    (Visualizza in BIBFRAME)

Autore: Swaroop Abhishek Visualizza persona
Titolo: Proceedings of Data Analytics and Management : ICDAM 2025, Volume 5 / / edited by Abhishek Swaroop, Bal Virdee, Sérgio Correia, Zdzislaw Polkowski Visualizza cluster
Pubblicazione: Cham : , : Springer Nature Switzerland : , : Imprint : Springer, , 2026
Edizione: 1st ed. 2026.
Descrizione fisica: 1 online resource (809 pages)
Disciplina: 006.3
Soggetto topico: Computational intelligence
Quantitative research
Telecommunication
Computational Intelligence
Data Analysis and Big Data
Communications Engineering, Networks
Nota di contenuto: An integrated Invasive Weed Meta-Heuristic Approach for Economic Energy Dispatch of Grid System -- On Study of Performance of Full-Duplex Two-Way Relay system with UAV-aided -- Web-game based learning (WGBL) prototype for children with dyscalculia -- Advancing Early Autism Detection and Enhancing Diagnostic Accuracy With Deep Learning Models -- Multiscale Deep Convolutional Neural Network for Enhanced Beam Prediction for mmWave Communications -- Computing Role of CSR as a Catalyst for Economic Development in India with special reference to selected industries -- Enhancing QA Systems With Knowledge Graphs And LLMs: A Case Study In Vietnamese -- Personalised Classrooms using Generative AI and Clustering of students having multiple learning styles -- Tracing the Course of Climate Tipping Points: A Thematic Examination of Research in Scientific Discourse -- Intelligent Model for Predicting Heart Disease Using Ensemble Learning.
Sommario/riassunto: This book includes original unpublished contributions presented at the International Conference on Data Analytics and Management (ICDAM 2025), held at London Metropolitan University, London, UK,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.
Titolo autorizzato: Proceedings of Data Analytics and Management  Visualizza cluster
ISBN: 3-032-03558-9
Formato: Materiale a stampa
Livello bibliografico Monografia
Lingua di pubblicazione: Inglese
Record Nr.: 9911047721703321
Lo trovi qui: Univ. Federico II
Opac: Controlla la disponibilità qui
Serie: Lecture Notes in Networks and Systems, . 2367-3389 ; ; 1602