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Proceedings of International Conference on Computational Technologies for Research in Data Analytics : ICCTRDA 2025, Volume 4 / edited by Nguyen Gia Nhu, Ajay Jaiswal, Ta Minh Thanh.

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

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Format:
Book
Author/Creator:
Nhu, Nguyen Gia.
Contributor:
Nhu
Series:
Lecture Notes in Networks and Systems, 2367-3389 ; 1968
Language:
English
Subjects (All):
Computational intelligence.
Quantitative research.
Artificial intelligence.
Computational Intelligence.
Data Analysis and Big Data.
Artificial Intelligence.
Local Subjects:
Computational Intelligence.
Data Analysis and Big Data.
Artificial Intelligence.
Physical Description:
1 online resource (830 pages)
Edition:
1st ed. 2026.
Place of Publication:
Cham : Springer Nature Switzerland : Imprint: Springer, 2026.
Summary:
This book discusses the outcomes of International Conference on Computational Technologies for Research in Data Analytics (ICCTRDA-2025) was held on November 21–22, 2025, at DuyTan University, Da Nang, Vietnam. The conference has attracted many high-quality submissions and stimulated the cutting-edge research discussions among many academic pioneering researchers, scientists, industrial engineers, students with the reception of more than 1200 papers from different parts of the world. Only 180 papers have been accepted and registered with an acceptance ratio of 15% to be published in four volumes of prestigious springer Lecture Notes on Networks and Systems (LNNS) series.
Contents:
Predicting student performance based on incremental ensemble learning
Smart Grocery Management: Expiry Date Detection Using YOLOv8 and Optical Character Recognition
The Impact of Artificial Intelligence in Medical Imaging: Trends, Gaps, and Future Direction
Multi-objective ESG Portfolio Optimization and Green Economic Resource Allocation Strategy Driven by Reinforcement Learning
Factualguard: Enhancing Trust In Online Information Through Automated Fake News Detection
A priority list based approach for solving thermal unit commitment problem with dynamic programming algorithm
Classification of Cardiac ECG Signals Using Quadratic Discriminant Analysis for Atrial Fibrillation
Fault Diagnosis Method for Wind Turbine Drive Train Based on Acoustic-Vibration System
Bridging Natural Language and Autonomous Action: LLM-Driven AI Agents for Human-Machine Collaboration
Adaptive Multi-Modal AI Agents: Leveraging Large Language Models for Dynamic Real-World Environments
Prediction of External Corrosion Rate and Location of High-Risk Sections of Buried Pipelines Based on Spatiotemporal Graph Convolutional Network (ST-GCN)
Achieving Atomice Context Consistency in large -Scale Multi- Agent Systems via Decentralized Trust - Weighted Consensus
Privacy-Preserving Collaborative Learning for Chronic Heart Failure: A Federated Approach With Explainable Deep Learning and Real-Time Treatment Adaptation
Blockchain- Enhanced Digital Twin Security for Industrial IoT (IIoT)
Investigating the Impact of Augmented Reality on Physical Education Curriculum
Academic performance prediction in a blended learning model based on GRU-LSTM with Fractional Greater Cane Rat Algorithm.
Notes:
Print version record.
ISBN:
9783032256942

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