- Neu
Swaroop / Virdee / Correia Proceedings of Data Analytics and Management
Erscheinungsjahr 2025
ISBN: 978-3-032-03769-5
Verlag: Springer International Publishing
Format: PDF
Kopierschutz: 1 - PDF Watermark
ICDAM 2025, Volume 6
E-Book, Englisch, 623 Seiten
Reihe: Lecture Notes in Networks and Systems
ISBN: 978-3-032-03769-5
Verlag: Springer International Publishing
Format: PDF
Kopierschutz: 1 - PDF Watermark
This book includes original unpublished contributions presented at the International Conference on Data Analytics and Management (ICDAM 2025), held at London Metropolitan University, London, UK,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.
Zielgruppe
Research
Autoren/Hrsg.
Weitere Infos & Material
Smart Finances: A Web-Based System for Personalized Financial Management.- Cybersecurity in Space Exploration: Protecting satellites and Space Missions.- Managing Mobility In Fog Computing: A Study of Dynamic ServiceMigration Strategies.- A Classical and Hybrid Machine Learning Models for Host-Based Intrusion Systems.- The Integration of Artificial Intelligence in Morocco's Education Systems: A Lever for Public Management and Improving the Performance of Public Institutions.- Analyzing the Resilience and Security of Watermarking Techniques in Digital MulLmedia and Databases.- Hierarchical Variational Transformers with XGBoost for Early Diagnosis of Parkinson’s Disease Using MRI.- Improved Hate Speech Detection Through A Robust Ensemble Framework.- An Attentive Encoder-Decoder Model for Detection of Lung Cancer Using Medical Imaging.- Automated Number Plate Detection System for Vehicle Tracking.- AI-Driven Personalized Fashion Curation with Deep Learning.- MetaLP-EC: A Meta-Learning Framework for Temporal Link Prediction with Evolving Centrality and GCN Embeddings.