Now showing items 251-255 of 436

    • UT-GPCR002 Machine learning models for CHO-K1 cell segmentation from fluorescence and bright-field microscopy images 

      Tahk, Maris-Johanna; Torp, Jane; Ali, Mohammed A.S.; Fishman, Dmytro; Parts, Leopold; Grätz, Lukas; Müller, Christoph; Keller, Max; Veiksina, Santa; Laasfeld, Tõnis; Rinken, Ago (University of Tartu, Institute of Chemistry, Chair of Bioorganic chemistry, 2022-01-13)
      The "UT-GPCR002 Machine learning models for CHO-K1 cell segmentation from fluorescence and bright-field microscopy images" dataset contains the machine learning model files for CHO-K1 cell segmentation from fluorescence ...
    • UT-GPCR003 Fluorescence anisotropy and microscopy measurements experimental metadata of ligand binding to M4 muscarinic receptors 

      Tahk, Maris-Johanna; Torp, Jane; Ali, Mohammed A.S.; Fishman, Dmytro; Parts, Leopold; Grätz, Lukas; Müller, Christoph; Keller, Max; Veiksina, Santa; Laasfeld, Tõnis; Rinken, Ago (University of Tartu, Institute of Chemistry, Chair of Bioorganic chemistry, 2022-01-13)
      The "UT-GPCR003 Fluorescence anisotropy and microscopy measurements experimental metadata of ligand binding to M4 muscarinic receptors" dataset contains the raw fluorescence anisotropy data for ligand binding to M4 muscarinic ...
    • Antimicrobial activity of commercial photocatalytic SaniTise™ window glass 

      Kisand, Vambola; Visnapuu, Meeri; Rosenberg, Merilin; Danilian, Dmytro; Vlassov, Sergei; Kook, Mati; Lange, Sven; Pärna, Rainer; Ivask, Angela (University of Tartu, 2022-01-04)
      The dataset represents collection of raw data for different analyses used in the manuscript "Antimicrobial activity of commercial photocatalytic SaniTise™ window glass" submitted to MDPI journal Catalysts at 30.12.2021.
    • The areas of concern of systematic literature review 

      Janar, Pekarev (University of Tartu, 2020-12-31)
      The Weaponization of artificial intelligence (AI) is upending traditional warfare as the development of autonomous weapons systems (AWS) increases in pace and sophistication. As a result, the concept of the weaponized AI, ...
    • HPC Cloud traces for better cloud service reliability 

      Dehury, Chinmaya Kumar; Chhetri, Tek Raj; Lind, Artjom; Srirama, Satish Narayana; Fensel, Anna (Semantic Technology Institute (STI) Innsbruck, Department of Computer Science, University of Innsbruck, Austria; Institute of Computer Science, University of Tartu, Estonia; School of Computer and Information Sciences, University of Hyderabad, India, 2021)
      This data is in support of the research on "A combined system metrics approach to cloud service reliability using artificial intelligence" (doi: 10.20944/preprints202111.0548.v1)