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Industrial Engineering and Operations Management: 10th North American Conference - Computer Science Tracks, IEOM-CS 2025, Orlando, USA, June 1719, 2025, Proceedings [Mīkstie vāki]

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  • Formāts: Paperback / softback, 347 pages, height x width: 235x155 mm, 92 Illustrations, black and white; XII, 347 p. 92 illus., 1 Paperback / softback
  • Sērija : Communications in Computer and Information Science 2557
  • Izdošanas datums: 24-Aug-2025
  • Izdevniecība: Springer International Publishing AG
  • ISBN-10: 3031982347
  • ISBN-13: 9783031982347
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  • Formāts: Paperback / softback, 347 pages, height x width: 235x155 mm, 92 Illustrations, black and white; XII, 347 p. 92 illus., 1 Paperback / softback
  • Sērija : Communications in Computer and Information Science 2557
  • Izdošanas datums: 24-Aug-2025
  • Izdevniecība: Springer International Publishing AG
  • ISBN-10: 3031982347
  • ISBN-13: 9783031982347
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This book constitutes the refereed conference proceedings of the 10th North American Conference - Computer Science Tracks, IEOM-CS 2025, held in Orlando, USA during June 17–19, 2025.

The 22 full papers included in this book were carefully reviewed and selected from 121 submissions. They are categorized into the following topical sections:

  1. Artificial Intelligence
  2. Autonomous Systems
  3. Data Analysis
  4. Decision Systems
  5. Learning Management Systems
  6. Machine Learning
  7. Security Systems
Artificial Intelligence


AI-Based Solutions for Optimizing Lane Change Safety in Connected Automated
Vehicles.- 


AI-Driven Platform Architecture for Business Plan Formulation in Indigenous
Communities: A Gender-Focused Case Study in Colombia.-


Automated Detection of Pulmonary Thromboembolism in Computed Tomography
Pulmonary Angiography Images Using Convolutional Neural Networks: A
Literature Review.- 


Development of Agentic Workflows with LangGraph for Software Development Life
Cycle Automation.- 


Last-Mile Delivery in High-Density Emerging Economy Cities Using
Crowd-Generated Data and Artificial Intelligence.- 


Systematic Review of AI and Non-AI Approaches for Personalized Learning
Paths.- 


 


Autonomous Systems


Smart Detection and Measurement: The Real-AODM System.- 


Tracking the Unseen: Autonomous Multi-Object Motion Analysis in Complex
Environments.- 


 


Data Analysis


BayesIntuit: A Neural Framework for Intuition-Based Reasoning.- 


Dynamic Simulation Tool for the Analysis of the Effects of Man-Machine Ratio
on the Productivity of Test Manufacturing of a Semiconductor Company.- 


 


Decision Systems


An Analysis of Water Supply System Losses: A Case Study of Santa Catarina
State, Brazil.- 


Comparison on the use of Hybrid and Plugin Hybrid Electric Buses for
Sustainable Urban Transportation Split Use Case.- 


Consumption and Runtime Automatic Software Performance Optimization on
Android Smartphones.- 


RECO: An AI-Powered Chatbot System for Optimizing Reverse Agri-Food Logistics
and Fighting Food Insecurity in Colombia.- 


Revamping Agile Logistics for Emergency Management.- 


Spiral Design and Simulation-Driven Deployment of a Drive-Through COVID-19
Testing and Housing Check-In System at a Large Public University.- 


 


Learning Management Systems


Enhancing STEM Education with AI: Fostering Soft Skills and Inclusion.- 


 


Machine Learning


Bridging the Black Box: Data Mining Enhanced Machine Learning
Interpretability for Exoplanet Discovery.- 


Cost Optimization in Mold-Making: A Conceptual Industry 4.0 Framework.- 


Enhancing Multi-Echelon Home Improvement Supply Chain Responsiveness Through
Machine Learning-Enabled Inventory Segmentation and Positioning.- 


Ensemble Machine Learning for Healthcare Data: A Comparative Analysis of
Chronic Kidney Disease and Cardiovascular Risk Prediction with NHANES
Data.- 


 


Security Systems


Preliminary Modeling of Cyber Attackers in Microgrids: An Agent-Based and
System Dynamics Approach Enhanced with Statecharts.