241 to 250 of 422 Results
Jan 24, 2022 - Arvutiteaduse andmed
Ali, Mohammed A. S.; Hollo, Kaspar; Laasfeld, Tõnis; Torp, Jane; Tahk, Maris-Johanna; Rinken, Ago; Palo, Kaupo; Parts, Leopold; Fishman, Dmytro, 2022, "ArtSeg-CHO-M4R: artifact segmentation in microscopy of ligand binding to M4 muscarinic receptor in live CHO-K1-hM4 cells.", https://doi.org/10.23673/RE-307, DATADOI, V1
The "ArtSeg-CHO-M4R, artifact segmentation in microscopy of ligand binding to M4 muscarinic receptor in live CHO-K1-hM4 cells" dataset contains microscopy images along with the ground truth binary masks for artifact segmentation from brightfield images. The dataset consists of three main directories for train, validation, and test splits. The image... |
Jan 19, 2022 - Keemia instituudi andmed
Tahk, Maris-Johanna; Torp, Jane; Ali, Mohammed A.S.; Fishman, Dmytro; Parts, Leopold; Grätz, Lukas; Müller, Christoph; Keller, Max; Veikšina, Santa; Laasfeld, Tõnis; Rinken, Ago, 2022, "UT-GPCR001 microscopy of ligand binding to M4 muscarinic receptor in live CHO-K1-hM4 cells", https://doi.org/10.23673/RE-306, DATADOI, V1
The "UT-GPCR001 microscopy of ligand binding to M4 muscarinic receptor in live CHO-K1-hM4 cells" dataset contains the raw microscopy images of the experiments along with images processed using the random forest algorithm and U-Net3 based deep convolutional neural networks for cell segmentation from bright-field images. The dataset contains experime... |
Jan 16, 2022 - Keemia instituudi andmed
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, 2022, "UT-GPCR002 Machine learning models for CHO-K1 cell segmentation from fluorescence and bright-field microscopy images", https://doi.org/10.23673/RE-304, DATADOI, V1
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 and bright-field microscopy images. Random forest-based models are implemented as Ilastik projects while deep-learning models are... |
Jan 16, 2022 - Keemia instituudi andmed
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, 2022, "UT-GPCR004 CHO-K1 cell line bright-field and fluorescence microscopy and corresponding segmentation ground truth", https://doi.org/10.23673/RE-305, DATADOI, V1
The "UT-GPCR004 CHO-K1 cell line bright-field and fluorescence microscopy and corresponding segmentation ground truth" dataset contains the raw microscopy images, corresponding bright-field Z-stack based contrast-enhanced images and the corresponding manual ground truth for fluorescence and bright-field images as well as ground truth generated from... |
Jan 14, 2022 - Keemia instituudi andmed
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, 2022, "UT-GPCR003 Fluorescence anisotropy and microscopy measurements experimental metadata of ligand binding to M4 muscarinic receptors", https://doi.org/10.23673/RE-303, DATADOI, V1
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 receptors on budded baculovirus surface as well as processed data for fluorescence anisotropy measurements and microscopy me... |
Jan 4, 2022 - Molekulaar- ja rakubioloogia andmed
Kisand, Vambola; Visnapuu, Meeri; Rosenberg, Merilin; Danilian, Dmytro; Vlassov, Sergei; Kook, Mati; Lange, Sven; Pärna, Rainer; Ivask, Angela, 2022, "Antimicrobial activity of commercial photocatalytic SaniTise™ window glass", https://doi.org/10.23673/RE-302, DATADOI, V1
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. |
Dec 8, 2021 - Ühiskonnateaduste andmed
Janar, Pekarev, 2021, "The areas of concern of systematic literature review", https://doi.org/10.23673/RE-301, DATADOI, V1
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, where a weapon system that, once activated, can select and engage targets without human intervention, creates serious complicati... |
Dec 7, 2021 - Arvutiteaduse andmed
Dehury, Chinmaya Kumar; Chhetri, Tek Raj; Lind, Artjom; Srirama, Satish Narayana; Fensel, Anna, 2021, "HPC Cloud traces for better cloud service reliability", https://doi.org/10.23673/RE-300, DATADOI, V1
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) |
Dec 5, 2021 - Füüsika andmed
Trofimov, Heido; Toll, Velle, 2021, "Pollution track days", https://doi.org/10.23673/RE-299, DATADOI, V1
Dates of polluted cloud tracks identified in MODIS satellite data. |
Nov 24, 2021 - Arvutiteaduse andmed
Seeba, Mari, 2021, "Eesti Infoturbestandardi (E-ITS) põhine turbe hindamise instrument / Estonian Information security Standard (E-ITS) based security level evaluation instrument", https://doi.org/10.23673/RE-298, DATADOI, V1
Alusinstrument uuringule / tool for research The tool is designed to evaluate the information security level of organizations or business processes. The tool is based on the maturity model framework using the Estonian Information Security Standard (E-ITS) content. See https://eits.ria.ee/. Instrument on mõeldud organisatsioonide või äriprotsesside... |
