Stefan Pickl
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View article: On the Correlation and Predictability of Topological Measures in Transportation Networks
On the Correlation and Predictability of Topological Measures in Transportation Networks Open
The computation of topological measures in large-scale complex networks, such as those found in transportation systems, is often a resource-intensive process. These measures, however, are critical for a comprehensive understanding of netwo…
View article: Intelligence Education Made in Europe: Critical Reflections on the German Experience
Intelligence Education Made in Europe: Critical Reflections on the German Experience Open
View article: Fuzzy Divergence Measure Based on Technique for Order of Preference by Similarity to Ideal Solution Method for Staff Performance Appraisal
Fuzzy Divergence Measure Based on Technique for Order of Preference by Similarity to Ideal Solution Method for Staff Performance Appraisal Open
Fuzzy set theory has extensively employed various divergence measure methods to quantify distinctions between two elements. The primary objective of this study is to introduce a generalized divergence measure integrated into the Technique …
View article: Markov Decision Processes and Stochastic Positional Games
Markov Decision Processes and Stochastic Positional Games Open
This book presents new findings and results on characterizing the solutions of especially finite state-space Markov decision problems.
View article: On the Existence of Stationary Nash Equilibria for Mean Payoff Games on Graphs
On the Existence of Stationary Nash Equilibria for Mean Payoff Games on Graphs Open
In this paper we extend the classical concept of positional strategies for a mean payoff game to a general mixed stationary strategy approach, and prove the existence of mixed stationary Nash equilibria for an arbitrary m-player mean payof…
View article: Introducing a TOPSIS based quantitative resilience measure for railway systems
Introducing a TOPSIS based quantitative resilience measure for railway systems Open
We tackle the importance of railway systems as part of an interdepended chain of critical infrastructures.One approach is modeling the railway systems as graphs and then applying graph measures to them.The solution in this paper takes the …
View article: Physical Attacks on the Railway System
Physical Attacks on the Railway System Open
Recent attacks encouraged public interest in physical security for railways. Knowing about and learning from previous attacks is necessary to secure against them. This paper presents a structured data set of physical attacks against railwa…
View article: A Bayesian Network Approach to Explainable Reinforcement Learning with Distal Information
A Bayesian Network Approach to Explainable Reinforcement Learning with Distal Information Open
Nowadays, Artificial Intelligence systems have expanded their competence field from research to industry and daily life, so understanding how they make decisions is becoming fundamental to reducing the lack of trust between users and machi…
View article: Concept into Architecture (CiA) – Integration of Domain Expert Knowledge into the Creation of Operational NAF-Architectures
Concept into Architecture (CiA) – Integration of Domain Expert Knowledge into the Creation of Operational NAF-Architectures Open
Integrating the knowledge of domain experts in the creation of models, especially in challenging tasks such as the creation of enterprise architectures (EA), is of particular importance. The involvement of domain experts in the creation of…
View article: How Artificial Intelligence Can Help the Prediction of Treatment Outcomes of Tuberculosis: A Systematic Literature Review
How Artificial Intelligence Can Help the Prediction of Treatment Outcomes of Tuberculosis: A Systematic Literature Review Open
Tuberculosis (TB) is a disease with a global impact that over the years has mainly affected the poorest countries. After confirming the TB diagnosis, the health professional needs to analyze the severity of the clinical situation of the pa…
View article: A Multi-Depot Dynamic Vehicle Routing Problem with Stochastic Road Capacity: An MDP Model and Dynamic Policy for Post-Decision State Rollout Algorithm in Reinforcement Learning
A Multi-Depot Dynamic Vehicle Routing Problem with Stochastic Road Capacity: An MDP Model and Dynamic Policy for Post-Decision State Rollout Algorithm in Reinforcement Learning Open
In the event of a disaster, the road network is often compromised in terms of its capacity and usability conditions. This is a challenge for humanitarian operations in the context of delivering critical medical supplies. To optimise vehicl…
View article: Invited perspectives: Challenges and step changes for natural hazard – perspectives from the German Committee for Disaster Reduction (DKKV)
Invited perspectives: Challenges and step changes for natural hazard – perspectives from the German Committee for Disaster Reduction (DKKV) Open
View article: Benchmark dataset for multi depot vehicle routing problem with road capacity and damage road consideration for humanitarian operation in critical supply delivery
Benchmark dataset for multi depot vehicle routing problem with road capacity and damage road consideration for humanitarian operation in critical supply delivery Open
View article: Comment on nhess-2021-197
Comment on nhess-2021-197 Open
1German Committee for Disaster Reduction (DKKV), Bonn, 53115, Germany 2Helmholtz Zentrum für Umweltforschung â UFZ, Leipzig, 04318, Germany 3Universität der Bundeswehr München, Neubiberg, 85577, Germany Hide author details
View article: Shared Mobility Problems: A Systematic Review on Types, Variants, Characteristics, and Solution Approaches
Shared Mobility Problems: A Systematic Review on Types, Variants, Characteristics, and Solution Approaches Open
The Shared Mobility Problems (SMP) with the rideshare concept based on sharing a vehicle are fast becoming a trend in many urban cities around the world. Examples of these problems are like ridesharing, carpooling, taxisharing, buspooling,…
View article: Invited perspectives: Challenges and step changes for natural hazards – perspectives from the German Committee for Disaster Reduction (DKKV)
Invited perspectives: Challenges and step changes for natural hazards – perspectives from the German Committee for Disaster Reduction (DKKV) Open
1German Committee for Disaster Reduction (DKKV), Bonn, 53115, Germany 2Helmholtz Zentrum für Umweltforschung â UFZ, Leipzig, 04318, Germany 3Universität der Bundeswehr München, Neubiberg, 85577, Germany Hide author details
View article: A Multi-Depot Vehicle Routing Problem with Stochastic Road Capacity and Reduced Two-Stage Stochastic Integer Linear Programming Models for Rollout Algorithm
A Multi-Depot Vehicle Routing Problem with Stochastic Road Capacity and Reduced Two-Stage Stochastic Integer Linear Programming Models for Rollout Algorithm Open
A matheuristic approach based on a reduced two-stage Stochastic Integer Linear Programming (SILP) model is presented. The proposed approach is suitable for obtaining a policy constructed dynamically on the go during the rollout algorithm. …
View article: Vehicle Routing Optimisation in Humanitarian Operations: A Survey on Modelling and Optimisation Approaches
Vehicle Routing Optimisation in Humanitarian Operations: A Survey on Modelling and Optimisation Approaches Open
The growing field of humanitarian operations is driven by frequent events of disasters seen in the world today. Within this field, Operations Research (OR) plays a critical role in alleviating the suffering of victims that are impacted by …
View article: An Approach for Determining Stationary Equilibria in a Single-Controller Average Stochastic Game
An Approach for Determining Stationary Equilibria in a Single-Controller Average Stochastic Game Open
View article: Robust State Estimations in Controlled ARMA Processes with the Non-Gaussian Noises: Applications to the Delayed Dynamics
Robust State Estimations in Controlled ARMA Processes with the Non-Gaussian Noises: Applications to the Delayed Dynamics Open
This paper deals with a novel theoretic approach to the robust state estimations in discrete-time dynamic systems with the non-Gaussian correlated stochastic noises. The methodology we develop is based on the so-called "worst case" robust …
View article: On the Existence and Determining Stationary Nash Equilibria for Switching Controller Stochastic Games
On the Existence and Determining Stationary Nash Equilibria for Switching Controller Stochastic Games Open
In this paper we consider the problem of the existence and determining stationary Nash equilibria for switching controller stochastic games with discounted and average payoffs. The set of states and the set of actions in the considered gam…
View article: A concise review of AI-based solutions for mass casualty management.
A concise review of AI-based solutions for mass casualty management. Open
View article: Communicating risk among all [Introduction]
Communicating risk among all [Introduction] Open
View article: On the existence of stationary Nash equilibria in average stochastic games with finite state and action spaces
On the existence of stationary Nash equilibria in average stochastic games with finite state and action spaces Open
We consider infinite n-person stochastic games with limiting average payoffs criteria for the players. The main results of the paper are concerned with the existence of stationary Nash equilibria and determining the optimal strategies of t…
View article: A separation based optimization approach to Dynamic Maximal Covering Location Problems with switched structure
A separation based optimization approach to Dynamic Maximal Covering Location Problems with switched structure Open
This paper extends a newly developed computational optimization approach to a specific class of Maximal Covering Location Problems (MCLPs) with a switched dynamic structure. Most of the results obtained for the conventional MCLP address th…
View article: Data Analytics and Optimization for Decision Support
Data Analytics and Optimization for Decision Support Open
View article: Introduction to the Minitrack on Decision Support for Complex Networks
Introduction to the Minitrack on Decision Support for Complex Networks Open
View article: Editorial for the special issue on “Intelligent Computing and System towards Smart Manufacturing”
Editorial for the special issue on “Intelligent Computing and System towards Smart Manufacturing” Open
View article: Introduction to the Minitrack on Decision Support for Complex Networks
Introduction to the Minitrack on Decision Support for Complex Networks Open
View article: Analyzing vulnerabilities of the German highspeed train network using quantitative graph theory
Analyzing vulnerabilities of the German highspeed train network using quantitative graph theory Open
The German high-speed train system (ICE) as one of the critical infrastructures is mapped into a distance-weighted undirected network.The aim of the analysis is to make full use of quantitative graph theory in order to analyze the vulnerab…