14.5.2024
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2024
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The aim of MSc Aitor Barbero López's doctoral thesis was to study the possibility of using the bio-based side-streams and residues from wood and coffee industries in Finland for wood preservative formulations.
Irradiation of the metallic and semiconductor materials with laser pulses results in the generation of a photocurrent, which depends on the polarization and angle of incidence of the laser beam.
Increase in the amount, variety and complexity of data makes it more difficult to understand or process information. Data clustering can help in these challenges by summarizing the data or finding patterns in it.
Artificial intelligence can support the transition towards renewable energies by managing and coordinating between the electricity supply and demand.
Selected to the Academy of Finland’s Flagship Programme for the years 2020–2024, the GeneCellNano Flagship seeks to speed up the introduction of new biological drugs for severe chronic diseases. The Flagship is led by Academy Professor Seppo Ylä-Herttuala.
The automatic analysis tools and methods achieved high accuracy when compared to manual analysis.
Voice-based authentication systems are often more difficult to implement than the ones based on fingerprint or face recognition. Also the security of automatic speaker recognition turns out to be challenging.
The serum metabolite profile can be used to identify individuals likely at risk of developing an alcohol-related disease in the future.
FM Tapani Toivonen's doctoral thesis studies how machine intelligence can be taught efficiently for data science novices.