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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.
List of 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.
Summary
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.
