Hae LUTPubista
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Numerical simulations of defect modeling in semiconductor radiation detectors
(Lappeenranta-Lahti University of Technology LUT, 2022-11-18)
Semiconductor radiation detectors are the core of high energy physics experiments. Silicon (Si)-based segmented particle sensors detect and track all the charged particles that are produced during the collisions in different ...
Optimizing IT financial management : analysis of cost categorization and reporting practices
(2023)
Digital technologies have transformed the business landscape, offering new avenues for companies to gain a competitive edge. However, managing the increasing costs associated with technology investments is crucial. This ...
Modelling water reinjection after methane extraction in Lake Kivu
(2023)
The large amount of dissolved gases including carbon dioxide and methane in Lake Kivu poses a significant threat due to the potential for catastrophic gas eruption. To mitigate this risk, the implementation of the project ...
Multimodality non-contact human heart rate sensing
(2023)
Multimodality non-contact human heart rate sensing is an emerging area of research that aims to leverage the strengths of different modalities to improve the accuracy and reliability of a heart rate monitoring system. ...
Explainability and generalizability of glaucoma detection models
(2023)
Glaucoma is a group of sight-threatening eye diseases for which, to date, there is no causal treatment. Based on the current prognosis, it is estimated that the number of people affected by this disease will increase from ...
Stabiilisuus rajoitetussa kolmen kappaleen ongelmassa
(2023)
Kolmen kappaleen ongelma kuvaa miten kolme avaruuden kappaletta liikkuvat toistensa
painovoimien vaikutuksen alaisena. Työssä esitellään yleisen ja rajoitetun kolmen kappaleen ongelmaan vaadittava teoria. Työn tavoitteena ...
Material classification in the industry
(2023)
In the industry material classification and quality control are key challenges that require speed and accuracy. Automation of material classification using machine learning classifiers would provide a unified method that ...
Identifying hidden parameters in cellular automata with neural networks
(2023)
Cellular Automata models are commonly utilized in studying the dynamics of complex systems in physics, biology, and social sciences. However, the behavior of CAs is often influenced by hidden parameters, which are difficult ...
A comparative study between rotational and virtual inertia : role of liquid air energy storage as a source of inertia in future power systems
(2022)
Using power system frequency response simulations, this study develops understanding of the different factors that influence the capacity of fast energy storage systems and inverter capacity that can compensate for the ...
Similarity measurements for rapakivi granite using soft independent modelling of class analogy and metric learning
(2022)
Rapakivi granite from south-eastern Finland has been used in many buildings in the historic centre of Saint Petersburg, Russia. Due to weathering and breakdown, the building stones will need to be replaced from time to ...