Blar i ODA Open Digital Archive på forfatter "Lind, Pedro"
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A neuro-inspired general framework for the evolution of stochastic dynamical systems: Cellular automata, random Boolean networks and echo state networks towards criticality
Pontes-Filho, Sidney; Lind, Pedro; Yazidi, Anis; Zhang, Jianhua; Hammer, Hugo Lewi; Mello, Gustavo; Sandvig, Ioanna; Tufte, Gunnar; Nichele, Stefano (Cognitive Neurodynamics;, Journal article; Peer reviewed, 2020-06-11)Although deep learning has recently increased in popularity, it suffers from various problems including high computational complexity, energy greedy computation, and lack of scalability, to mention a few. In this paper, ... -
New classes of load balancing learning automata methods: A dynamical system approach applied to wind turbine fatigue distribution
Rajasekaran, Krishna Siddharth (Master thesis, 2024)New classes of Load Balancing Learning Automata methods, that equalize rewards or pay-offs (R) for all possible actions, are introduced in this study. The respective automata are designed to operate in a S-Model environment, ... -
A new decision making model based on Rank Centrality for GDM with fuzzy preference relations
Yazidi, Anis; Ivanovska, Magdalena; Zennaro, Fabio Massimo; Lind, Pedro; Viedma, Enrique Herrera (European Journal of Operational Research;Volume 297, Issue 3, Peer reviewed; Journal article, 2021-06-01)Preference aggregation in Group Decision Making (GDM) is a substantial problem that has received a lot of research attention. Decision problems involving fuzzy preference relations constitute an important class within GDM. ... -
On the existence and characterization of extreme events in wind data
Garcia, Constantino; Lind, Pedro; Wächter, Matthias; Otero, Antonio; Peinke, Joachim (Conference object, 2019)We present evidence that quantitative definitions of extreme events in wind, so called gusts, may be flawed and unable to grasp true extreme situations of wind velocity in short time intervals. In particular, we show that ... -
Predicting ADHD in Children Using Eye-Tracking Data and Mathematical Modeling
Papanikolaou, Christos; Lencastre, Pedro (Master thesis, 2023)Attention-Deficit/Hyperactivity Disorder (ADHD) is a prevalent neurobiological condition with far-reaching implications for a child's academic achievement, well-being, and social interactions. Despite its impact, current ... -
Predicting missing pairwise preferences from similarity features in group decision making
Abolghasemi, Roza; Khadka, Rabindra; Lind, Pedro; Engelstad, Paal E.; Viedma, Enrique Herrera; Yazidi, Anis (Knowledge-Based Systems;Volume 256, 28 November 2022, 109860, Peer reviewed; Journal article, 2022)In group decision-making (GDM), fuzzy preference relations (FPRs) refer to pairwise preferences in the form of a matrix. Within the field of GDM, the problem of estimating missing values is of utmost importance, since many ... -
Quality of Monitoring Optimization in Underwater Sensor Networks through a Multiagent Diversity-Based Gradient Approach
Ould-Elhassen Aoueileyine, Mohamed; Bennouri, Hajar; Berqia, Amine; Lind, Pedro; Haugerud, Hårek; Krejcar, Ondrej; Bouallegue, Ridha; Yazidi, Anis (Peer reviewed; Journal article, 2023)Due to the complex underwater environment, conventional measurement and sensing methods used for land are difficult to apply directly in the underwater environment. Especially for seabed topography, it is impossible to ... -
Quality of Monitoring Optimization in Underwater Sensor Networks through a Multiagent Diversity-Based Gradient Approach
Ould-Elhassen Aoueileyine, Mohamed; Bennouri, Hajar; Berqia, Amine; Lind, Pedro; Haugerud, Hårek; Krejcar, Ondrej; Bouallegue, Ridha; Yazidi, Anis (Peer reviewed; Journal article, 2023)Due to the complex underwater environment, conventional measurement and sensing methods used for land are difficult to apply directly in the underwater environment. Especially for seabed topography, it is impossible to ... -
Small scale structures of turbulence in terms of entropy and fluctuation theorems
Fuchs, Andre; Queiros, Silvio D.A.; Lind, Pedro; Girard, Alain; Bouchet, Freddy; Wächter, Matthias; Peinke, Joachim (Physical Review Fluids;5, 034602, Journal article; Peer reviewed, 2020-03-11)We present experimental evidence that, together with the integral fluctuation theorem, which is fulfilled with high accuracy, a detailed-like fluctuation theorem holds for large entropy values in cascade processes in ... -
Spatial and compound dependencies in drought and heatwaves in the climate of South-Western Europe
Takyi, Ebenezer (Master thesis, 2024)The South-Western Europe (Iberian Peninsula) has been highlighted for the escalating occurrence and severity of droughts and heatwaves during the last decades. However, the statistical interdependencies between these ... -
"Sustainable Wind Turbine Predictive Maintenance: Detecting Mexican Hats in Wind Speed Data for Efficient Operations"
Marasuli, Maryam (Master thesis, 2023)Wind turbines are critical for renewable energy generation, but unexpected maintenance issues can hinder their efficient operation. Predictive maintenance can mitigate these issues by detecting early signs of turbine ... -
Transition from endemic behavior to eradication of malaria due to combined drug therapies: an agent-model approach
Sequeira, Joao; Louca, Jorge; Mendes, Antonio; Lind, Pedro (Journal of Theoretical Biology;Volume 484, 7 January 2020, 110030, Journal article; Peer reviewed, 2019-09-26)We introduce an agent-based model describing a susceptible-infectious-susceptible (SIS) system of humans and mosquitoes to predict malaria epidemiological scenarios in realistic biological conditions. Emphasis is given to ... -
Trustworthy machine learning in the context of security and privacy
Upreti, Ramesh; Lind, Pedro; Elmokashfi, Ahmed; Yazidi, Anis (Peer reviewed; Journal article, 2024)Artificial intelligence-based algorithms are widely adopted in critical applications such as healthcare and autonomous vehicles. Mitigating the security and privacy issues of AI models, and enhancing their trustworthiness ... -
Trustworthy machine learning in the context of security and privacy
Upreti, Ramesh; Lind, Pedro; Elmokashfi, Ahmed Mustafa Abdalla; Yazidi, Anis (Peer reviewed; Journal article, 2024)Artificial intelligence-based algorithms are widely adopted in critical applications such as healthcare and autonomous vehicles. Mitigating the security and privacy issues of AI models, and enhancing their trustworthiness ... -
Using eye tracker data to assess human empathy and attention
Dubas, Marta (ACIT;2022, Master thesis, 2022)In this thesis we explore up to which extent eye pupil diameter, measured through an eye tracking device, reflects levels of empathy among individuals during a specific task performance. The analysis is conducted based on ... -
Using the Hurst Exponent and Entropy Measures to Predict Effective Transmissibility in Empirical Series of Malaria Incidence
Sequeira, Joao; Louca, Jorge; Mendes, Antonio; Lind, Pedro (Applied Sciences;Volume 12 / Issue 1, Peer reviewed; Journal article, 2022-01-05)We analyze the empirical series of malaria incidence, using the concepts of autocorrelation, Hurst exponent and Shannon entropy with the aim of uncovering hidden variables in those series. From the simulations of an agent ...