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Proceedings of Data Analytics and Management : ICDAM 2025, Volume 2 / edited by Abhishek Swaroop, Bal Virdee, Sérgio Duarte Correia, Zdzislaw Polkowski.
Springer eBooks EBA - Intelligent Technologies and Robotics Collection 2026 Available online
View online- Format:
- Book
- Author/Creator:
- Swaroop, Abhishek.
- Series:
- Lecture Notes in Networks and Systems, 2367-3389 ; 1600
- 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 (793 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- This book includes original unpublished contributions presented at the International Conference on Data Analytics and Management (ICDAM 2025), held at London Metropolitan University, London, UK,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:
- AI-Powered Workforce Optimization: A Robust Model for Managing Complex Supply Chain Dynamics in MNC Companies
- Advancements in Agriculture Disease Detection: Employing Federated Learning for Plant Leaves
- Enhancing Botnet Detection through Deep Learning and Representation Learning
- Secure Blockchain Node Certification and PBFT Con-sensus for Fog Computing
- A Heap-based Automated ICU Bed Allocation Optimization Mechanism for Prioritizing Medical Care
- Evaluating the Practicality of Language Models on Edge devices for Sensor Data Analysis: A Sensible Approach?
- Oil Spill Detection in Heterogeneous Environments Using YOLOv9 with Aerial Imagery
- House of Mirrors: A survey on Hallucination Detection and Mitigation via Decoding Techniques in Language Models.
- House of Mirrors: A survey on Hallucination Detection and Mitigation via Decoding Techniques in Language Models.
- Notes:
- Description based on publisher supplied metadata and other sources.
- Other Format:
- Print version: Swaroop, Abhishek Proceedings of Data Analytics and Management
- ISBN:
- 9783032030726
- OCLC:
- 1553183614
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