Optimization, Learning Algorithms and Applications, Kartoniert / Broschiert

Klappentext

.- 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.