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Selected Topics in Deep Learning
This chapter presents a selection of different topics. We discuss forecasting under model uncertainty, deep quantile regression, deep composite...
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RETRACTED ARTICLE: Alternating-direction-method-of-multipliers-based fast model predictive control for an aerial trees-pruning robot
Power transmission lines require efficient and reliable tree pruning to maintain their operation. This paper presents an adaptive Alternating...
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Forecasting the waste production hierarchical time series with correlation structure
Continuous increase in society’s prosperity causes overwhelming growth of the produced municipal solid waste. Circular economy initiatives help to...
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Including individual customer lifetime value and competing risks in tree-based lapse management strategies
A retention strategy based on an enlightened lapse model is a powerful profitability lever for a life insurer. Some machine learning models are...
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A New Classification Schema for Literature Reviews on the Applications of Machine Learning and Optimization Methods in Maritime Terminals: A Focus on the Seaside Area
Maritime terminals play a crucial role in the supply chain networks, transporting containerized cargo from sea to hinterland and vice versa. With the...
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Markov processes on quasi-random graphs
We study Markov population processes on large graphs, with the local state transition rates of a single vertex being a linear function of its...
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Rational Expectations Models with Multiplicative Noise
This paper is concerned with the multiplicative-noise rational expectations (MRE) problem. By resorting to a linear quadratic optimal control (LQOC)...
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Repositioning Fleet Vehicles: A Learning Pipeline
Managing a fleet of vehicles under uncertainty requires careful planning and adaptability. We consider a ride-hailing problem where the operator...
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Time-Continuous Microscopic Pedestrian Models: An Overview
We give an overview of time-continuous pedestrian models with a focus on data-driven modelling. Starting from pioneer, reactive force-based models we...
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On Robust Computation of Koopman Operator and Prediction in Random Dynamical Systems
In the paper, we consider the problem of robust approximation of transfer Koopman and Perron–Frobenius (P–F) operators from noisy time-series data....
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Primal or Dual Terminal Constraints in Economic MPC? Comparison and Insights
This chapter compares different formulations for economic nonlinear model predictive control (EMPC) which are all based on an established...
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Set-Valued Model Predictive Control
This chapter presents a formulation for model predictive control (MPC) where system dynamics are represented in terms of sets. This formulation can...
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Introducing System Identification Strategy into Model Predictive Control
As system identification theory and model predictive control are belonged to two different research fields separately, so one gap exists between...
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Doubly majorized algorithm for sparsity-inducing optimization problems with regularizer-compatible constraints
We consider a class of sparsity-inducing optimization problems whose constraint set is regularizer-compatible, in the sense that, the constraint set...
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Applying Deep Learning Techniques to Forecast Purchases in the Portuguese National Health Service
Forecasting plays a crucial role in enhancing the efficiency and effectiveness of logistics and supply chain management in the healthcare sector,...
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Concluding Remarks on Chaotic Dynamics’ Forecasting
In this book, we compared different neural approaches in the forecasting of chaotic dynamics, which are well-known for their complex behaviors and...
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Year 2019 ForHLR II HPC Experience Under the Project “High-Performance Monte Carlo Methods for SAFETY Demonstration-From Proof of Concept to Realistic Safety Analysis and Industry Applications (McSAFE)”
Driven by the growing interest in the nuclear industry in high-fidelity simulations for design and safety analysis of nuclear reactors, the EU...
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A Model-Based Optimal Distributed Predictive Management of Multidrug Infusion in Lung Cancer Patient Therapy
Multidrug therapy for cancer treatment trends nowadays due to evidence-based success in clinical trials. In particular, minimizing lung tumor growth...
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Possible Distribution of Mass Inside a Black Hole
It is generally believed that the center of any physical black hole contains a point singularity with infinite mass density. This seems to be only a...
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Nearest Neighbor Forecasting Using Sparse Data Representation
The method of the nearest neighbors as well as its variants have proven to be very powerful tools in the non-parametric prediction and categorization...