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Full Description
This book constitutes the refereed post-conference proceedings of the 8th EAI International Conference on Computer Science and Engineering in Health Services (COMPSE 2024), which took place September 10-12, 2024 in Laredo, Texas, USA. The full papers presented were carefully reviewed and selected from dozens of submissions. The papers are grouped on thematic topics: application of tools delivered by the COVID-19 pandemic; health services; computer and data science; and industry 4.0 in logistics and supply chain. The content is relevant to researchers, academics, students and professionals.
Presents the proceedings of the 8th EAI International Conference on Computer Science and Engineering in Health Services;
Includes topics such as computer and data science, AI tools and applications, and machine learning for optimization;
Relevant to researchers, academics, students and professionals in communications engineering.
Contents
Part I: Scientific Computing and Information Technology Applications.- Ch 1: Information Technology Project Cost Evaluation Based on Matter-Element Extensible Theory.- Ch 2: Cyber Value at Risk and Cognitive Estimation- A Human Centered Design Approach.- Ch 3: Problems of sensors with a view to Digital Twins. A review of the literature.- Ch 4: Distributed Computing in the Industry 4.0.- Ch 5: Implementation of both a digital learning object and strategies of games for teaching Probability and Statistics in a hybrid environment.- Ch 6: The sustainable industrial site of the future based on: energy efficiency, renewable energy, artificial intelligence and energy policy.- Part II: Optimization and heuristic methods applied to engineering.- Ch 7: Selection of a multi-criteria method for expediting the import process.- Ch 8: OPTIMIZATION OF MICROSTRUCTURE DESIGN OF HEAT-RESISTANT ALLOY POWDERS FOR ADDITIVE MANUFACTURING.- Ch 9: Corporate Social Responsibility and Financial Performance: Evidence from public companies listed on the Mexican Stock Exchange.- Ch 10: A Two-Phase Heuristic and Genetic Algorithm for the Heterogeneous Fleet Vehicle Routing Problem.- Ch 11: SEQUENTIAL PACKING OF POLYGONAL ITEMS USING RECTANGULAR ENVELOPS.- Ch 12: Adaptation of three Metaheuristics to solve the bi-objective portfolio optimization problem.- Ch 13: Optimizing Technician Routes in Reforestation Programs Using Unsupervised Machine Learning and Exact Algorithms.- Part III: Modeling, simulation and computing applied to healthcare.- Ch 14: Music Creation and Electroencephalogram Headset as Therapeutic Means in Managing and Treating Neurological Disorders and Mental Illnesses.- Ch 15: Exploring the Influence of NCD on the Health Habits of the Mexican Working Population.- Ch 16: The application of the business model in the healthcare sector for the innovation.- Ch 17: Use of Discrete Event Simulation to analyze warehouse processes in a pharmaceutical company.- Part IV: Artificial intelligence and learning techniques.- Ch 18: Ethical Framework for Integrating Artificial Intelligence in Open and Distance Learning.- Ch 19: Gross Domestic Product Prediction using Multilayer Perceptron, Radial Basis Function Regressor, and Random Forest Regressor Models.- Ch 20: Evolutionary Serial Fuzzy Neural Network Vehicle Routing Problem with Profits. A Tourist Trip Desing Problem Solution approach for the Industry 5.0.- Ch 21: The Planning Sensor, a strategy for autonomous real-time production planning without human intervention.- Ch 22: Traffic queuing with 2D Parzen Windows for LSTM prediction.
