Proceedings of Data Analytics and Management : ICDAM 2025, Volume 10 / / edited by Abhishek Swaroop, Bal Virdee, Sérgio Duarte Correia, Zdzislaw Polkowski

• Autore: Swaroop Abhishek
• Pubblicazione: Cham : , : Springer Nature Switzerland : , : Imprint : Springer, , 2026
• Edizione: 1st ed. 2026.
• Descrizione fisica: 1 online resource (747 pages)
• Disciplina: 006.3
• Soggetto topico: Computational intelligence; Quantitative research; Telecommunication; Computational Intelligence; Data Analysis and Big Data; Communications Engineering, Networks
• Altri autori: Swaroop
• Nota di contenuto: A Comprehensive Study on Hybrid Injection Attacks in Al- Driven Applications -- A Review of Ciphertext-Policy Attribute-Based Encryption Models:Comparative Analysis and Hybrid Integration for Secure Cloud Access Control -- Predicting Stroke Outcomes Using Machine Learning: Analysis of Clinical and Imaging Data -- Optimized Deep Learning Framework for Rheumatoid Arthritis Diagnosis Using Medical Imaging and Blood Biomarkers -- A Time-Aware Random Forest Regression Model for High- Accuracy AC Power Forecasting in Indian Solar Farms -- A High Speed Energy efficient GAN-Tuned Trunc-O-SRAM for Robust Flexible Image Intelligence Systems -- Explainable AI for Urban Air Quality Forecasting: Integrating Satellite, Traffic, and IoT Sensor Data -- AI-Powered Precision Agriculture: Integrating Computer Vision and IoT for Sustainable Crop Management -- Hybrid Deep Learning Framework for Automated Lung Cancer Detection and Stage Classification from CT scans using Deep Learning -- Hate Speech Detection in Social Media Using Deep Ensemble Algorithm.
• Sommario/riassunto: This book includes original unpublished contributions presented at the International Conference on Data Analytics and Management (ICDAM 2025), held at London Metropolitan University, London, UK,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
• ISBN: 3-032-08859-3
• Formato: Materiale a stampa
• Livello bibliografico: Monografia
• Lingua di pubblicazione: Inglese
• Record Nr.: 9911061832703321
• Lo trovi qui: Univ. Federico II
• Serie: Lecture Notes in Networks and Systems, . 2367-3389 ; ; 1690