Optimization, Learning Algorithms and Applications

.- Optimization in the SDG context.
.- Application of Continuous and Periodic Review Models to Optimize Inventory Management in Dynamic Demand Scenarios.
.- Social Context in Fake News Diffusion.
.- Integrating Renewable Energy into Sustainability Metrics: a multicriteria decision.
.- A Secure Architecture for Supply-chain Orders Exchange between Textile and Clothing Companies.
.- Machine Learning.
.- Partial Knowledge Predictive Models for Hydrocarbon Storage.
.- Districting Methods for Water Distribution Network.
.- Enhancing Soil Organic Carbon Prediction: A Machine Learning Approach with Outlier Removal.
.- A Personalized Math Learning Experience with Clustering and Random Forest Algorithms.
.- Macroeconomics' Forecasting using Machine Learning Approaches by Policy Makers: A Case Study Analysis.
.- TI-FPCA: Effective and Interpretable Dimensionality Reduction with Transform-Invariant Functional Principal Component Analysis.
.- Prediction of Average Power Produced by Wind Turbines Using MLP Neural Networks.
.- OML-AD: Online Machine Learning for Anomaly Detection in Time Series Data.
.- Machine Learning and Artificial Intelligence in Robotics.
.- AI-Powered Tutoring for Personalized Learning.
.- Markerless Geometric Inspection Planning based on Greedy Algorithm with Registration Stability Constraint.
.- Comparing RL Policies for Robotic Pusher.
.- Reward-function design for Discrete and Continuous Mapless Navigation.
.- Object Classification using 2D-LiDAR and YOLO for Robot Navigation.