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Proceedings of Data Analytics and Management : ICDAM 2025, Volume 7 / edited by Abhishek Swaroop, Bal Virdee, Sérgio Duarte Correia, Zdzislaw Polkowski.

Springer eBooks EBA - Intelligent Technologies and Robotics Collection 2026 Available online

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Format:
Book
Author/Creator:
Swaroop, Abhishek.
Contributor:
Virdee, Bal.
Correia, Sérgio Duarte.
Polkowski, Zdzislaw.
Series:
Lecture Notes in Networks and Systems, 2367-3389 ; 1607
Language:
English
Subjects (All):
Computational intelligence.
Quantitative research.
Telecommunication.
Computational Intelligence.
Data Analysis and Big Data.
Communications Engineering, Networks.
Local Subjects:
Computational Intelligence.
Data Analysis and Big Data.
Communications Engineering, Networks.
Physical Description:
1 online resource (804 pages)
Edition:
1st ed. 2026.
Place of Publication:
Cham : Springer Nature Switzerland : Imprint: Springer, 2026.
Summary:
This book includes original unpublished contributions presented at the International Conference on Data Analytics and Management (ICDAM 2025), held at London Metropolitan University, London, UK,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.
Contents:
Data-Driven Agriculture Using LSTM and PCA: Enhancing Crop Yield with Ensemble and Bayesian Learning Techniques
Enhancing Precision in Gestational Diabetes Mellitus: A Technical Review of Predictive Models, Challenges, and Future Directions
AI-Powered Cloud Automation: Reducing Latency in Distributed Systems
Predicting Mental Health Disorders with Variational Autoencoders
Could Logarithmic Transformation Spot the Cancer in Leukaemia Microarray Dataset? - A Study Technological Trend in Quadcopter: Analysis and Application
Real vs Synthetic Face Detection using AI and rPPG Technology
Comparative Analysis of LSTM, Transformer- based LSTM and Transformer-based GRU for Stock Price Pre-diction: An Implementation in Vietnam Market
Decoding Breast Cancer Prognosis: An AI-Driven Analytical Approach to Genetic Markers and Prediction Metrics
The Convergence of AI, IoT, and Agricultural Sensors for Sustainable Agricultural Practices.
Notes:
Description based on publisher supplied metadata and other sources.
ISBN:
3-032-03751-4
9783032037510
OCLC:
1547925282

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