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4. Comparison of Inputs Correlation and Explainable Artificial Intelligence Recommendations for Neural Networks Forecasting Electricity Consumption

5. Computational Approaches for Green Computing of Energy Consumption Forecasting on Non-working Periods in an Office Building

6. Machine Learning Applied to Industrial Machines for an Efficient Maintenance Strategy: A Predictive Maintenance Approach

10. Survey on Privacy-Preserving Techniques for Data Publishing

11. Towards a Data Privacy-Predictive Performance Trade-off

13. The Students Perspective on Using an E-Learning Platform: E-OWL

14. History, moral philosophy, and social theory in David Hume's intellectual development, 1739-1752

15. Characteristics and outcomes of COVID-19 patients admitted to hospital with and without respiratory symptoms

17. Production Scheduling for Total Energy Cost and Machine Longevity Optimization Through a Genetic Algorithm

21. Exploring Dataset Patterns for New Demand Response Participants Classification

22. An Augmented Reality Framework as a Solution to Enhance the Experience of Visiting a Museum

23. DR Participants’ Actual Response Prediction Using Artificial Neural Networks

24. CPU Computation Influence on Energy Consumption Forecasting Activities of a Building

25. Predictive Maintenance for Maintenance-Effective Manufacturing Using Machine Learning Approaches

31. A multi-country analysis of COVID-19 hospitalizations by vaccination status

37. Association of Country Income Level With the Characteristics and Outcomes of Critically Ill Patients Hospitalized With Acute Kidney Injury and COVID-19

39. Thrombotic and hemorrhagic complications of COVID-19 in adults hospitalized in high-income countries compared with those in adults hospitalized in low- and middle-income countries in an international registry

41. ASPECTOS CLÍNICOS E FISIOPATOLÓGICOS DA OSTEÍTE FIBROSA NA DOENÇA RENAL CRÔNICA

44. A Learning Approach to Improve the Selection of Forecasting Algorithms in an Office Building in Different Contexts

47. Managing Smart City Power Network by Shifting Electricity Consumers Demand

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