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Full Description
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:
Artificial Intelligence
Autonomous Systems
Data Analysis
Decision Systems
Learning Management Systems
Machine Learning
Security Systems
Contents
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.