Please enable JavaScript in your browser. It is required to use most of the features of Dataverse.

Wrocław University of Science and Technology

(Politechnika Wrocławska)

Select dataverse

Add dataset

Share Dataverse

Share this dataverse on your favorite social media networks.

Featured Dataverses

In order to use this feature you must have at least one published dataverse.

Publish Dataverse

Are you sure you want to publish your dataverse? Once you do so it must remain published.

Publish Dataverse

This dataverse cannot be published because the dataverse it is in has not been published.

Delete Dataverse

Are you sure you want to delete your dataverse? You cannot undelete this dataverse.

Search results

141 to 150 of 191 Results

DatasetPolymers imprinted toward herbicides - state of the art Mar 1, 2024 Smolinska-Kempisty, Katarzyna, 2024, "Polymers imprinted toward herbicides - state of the art", https://doi.org/10.18150/EOI44Q, RepOD, V1
DatasetCaffeine-stabilized rhenium nanoparticles and their catalytic activities Mar 1, 2024 Cyganowski, Piotr, 2024, "Caffeine-stabilized rhenium nanoparticles and their catalytic activities", https://doi.org/10.18150/8ESUOT, RepOD, V1
DatasetData for the article entitled: Mid-infrared optical frequency comb spectroscopy using an all-silica antiresonant hollow-core fiber Feb 16, 2024 Tomaszewska-Rolla, Dorota; Jaworski, Piotr; Wu, Dakun; Yu, Fei; Foltynowicz, Aleksandra; Krzempek, Karol; Soboń, Grzegorz, 2024, "Data for the article entitled: Mid-infrared optical frequency comb spectroscopy using an all-silica antiresonant hollow-core fiber", https://doi.org/10.18150/PF3R8I, RepOD, V1
DatasetResearch on development of a universal diagnostic system for stator winding faults of induction motor and PMSM based on transfer learning. Feb 15, 2024 Skowron, Maciej, 2024, "Research on development of a universal diagnostic system for stator winding faults of induction motor and PMSM based on transfer learning.", https://doi.org/10.18150/XXY49N, RepOD, V1
DatasetResearch on fault diagnostics of permanent magnet synchronous motors based on deep neural networks and transfer learning. Feb 15, 2024 Skowron, Maciej, 2024, "Research on fault diagnostics of permanent magnet synchronous motors based on deep neural networks and transfer learning.", https://doi.org/10.18150/ZX3HB2, RepOD, V1
DatasetAnalysis of the precision of PMSM short-circuit detection systems using transfer learning of deep convolutional networks Feb 15, 2024 Skowron, Maciej, 2024, "Analysis of the precision of PMSM short-circuit detection systems using transfer learning of deep convolutional networks", https://doi.org/10.18150/TTZMEK, RepOD, V1
DatasetImpact of the convolutional neural network structure and training parameters on the effectiveness of the diagnostic systems of modern AC motor drives Feb 15, 2024 Skowron, Maciej, 2024, "Impact of the convolutional neural network structure and training parameters on the effectiveness of the diagnostic systems of modern AC motor drives", https://doi.org/10.18150/CPOAEQ, RepOD, V1
DatasetDiagnosis of stator winding and permanent magnet faults of PMSM drive using shallow and deep neural networks Feb 15, 2024 Skowron, Maciej, 2024, "Diagnosis of stator winding and permanent magnet faults of PMSM drive using shallow and deep neural networks", https://doi.org/10.18150/HQ4X9V, RepOD, V1
DatasetData for the article entitled: Layered PCL scaffolds modified with bioactive additives fabricated by electrospinning and 3D-printing for the nasal bone and cartilage defects Jan 22, 2024 - DataverseUniwersytet Bielsko-Bialski Rajzer, Izabella; Kurowska, Anna; Nikodem, Anna; Zagrajczuk, Barbara; Ziąbka, Magdalena, 2024, "Data for the article entitled: Layered PCL scaffolds modified with bioactive additives fabricated by electrospinning and 3D-printing for the nasal bone and cartilage defects", https://doi.org/10.18150/1JW6KY, RepOD, V1
DatasetDyskretny model symulacyjny do wspomagania planowania programów profilaktyki próchnicy zębów Jan 19, 2024 Hajłasz Maria, 2024, "Dyskretny model symulacyjny do wspomagania planowania programów profilaktyki próchnicy zębów", https://doi.org/10.18150/5HXVGT, RepOD, V1

Polymers imprinted toward herbicides - state of the art

Mar 1, 2024

Smolinska-Kempisty, Katarzyna, 2024, "Polymers imprinted toward herbicides - state of the art", https://doi.org/10.18150/EOI44Q, RepOD, V1

Caffeine-stabilized rhenium nanoparticles and their catalytic activities

Mar 1, 2024

Cyganowski, Piotr, 2024, "Caffeine-stabilized rhenium nanoparticles and their catalytic activities", https://doi.org/10.18150/8ESUOT, RepOD, V1

Data for the article entitled: Mid-infrared optical frequency comb spectroscopy using an all-silica antiresonant hollow-core fiber

Feb 16, 2024

Tomaszewska-Rolla, Dorota; Jaworski, Piotr; Wu, Dakun; Yu, Fei; Foltynowicz, Aleksandra; Krzempek, Karol; Soboń, Grzegorz, 2024, "Data for the article entitled: Mid-infrared optical frequency comb spectroscopy using an all-silica antiresonant hollow-core fiber", https://doi.org/10.18150/PF3R8I, RepOD, V1

Thumbnail of dataset Research on development of a universal diagnostic system for stator winding faults of induction motor and PMSM based on transfer learning.

Research on development of a universal diagnostic system for stator winding faults of induction motor and PMSM based on transfer learning.

Feb 15, 2024

Skowron, Maciej, 2024, "Research on development of a universal diagnostic system for stator winding faults of induction motor and PMSM based on transfer learning.", https://doi.org/10.18150/XXY49N, RepOD, V1

Thumbnail of dataset Research on fault diagnostics of permanent magnet synchronous motors based on deep neural networks and transfer learning.

Research on fault diagnostics of permanent magnet synchronous motors based on deep neural networks and transfer learning.

Feb 15, 2024

Skowron, Maciej, 2024, "Research on fault diagnostics of permanent magnet synchronous motors based on deep neural networks and transfer learning.", https://doi.org/10.18150/ZX3HB2, RepOD, V1

Thumbnail of dataset Analysis of the precision of PMSM short-circuit detection systems using transfer learning of deep convolutional networks

Analysis of the precision of PMSM short-circuit detection systems using transfer learning of deep convolutional networks

Feb 15, 2024

Skowron, Maciej, 2024, "Analysis of the precision of PMSM short-circuit detection systems using transfer learning of deep convolutional networks", https://doi.org/10.18150/TTZMEK, RepOD, V1

Thumbnail of dataset Impact of the convolutional neural network structure and training parameters on the effectiveness of the diagnostic systems of modern AC motor drives

Impact of the convolutional neural network structure and training parameters on the effectiveness of the diagnostic systems of modern AC motor drives

Feb 15, 2024

Skowron, Maciej, 2024, "Impact of the convolutional neural network structure and training parameters on the effectiveness of the diagnostic systems of modern AC motor drives", https://doi.org/10.18150/CPOAEQ, RepOD, V1

Diagnosis of stator winding and permanent magnet faults of PMSM drive using shallow and deep neural networks

Feb 15, 2024

Skowron, Maciej, 2024, "Diagnosis of stator winding and permanent magnet faults of PMSM drive using shallow and deep neural networks", https://doi.org/10.18150/HQ4X9V, RepOD, V1

Data for the article entitled: Layered PCL scaffolds modified with bioactive additives fabricated by electrospinning and 3D-printing for the nasal bone and cartilage defects

Jan 22, 2024 - Uniwersytet Bielsko-Bialski

Rajzer, Izabella; Kurowska, Anna; Nikodem, Anna; Zagrajczuk, Barbara; Ziąbka, Magdalena, 2024, "Data for the article entitled: Layered PCL scaffolds modified with bioactive additives fabricated by electrospinning and 3D-printing for the nasal bone and cartilage defects", https://doi.org/10.18150/1JW6KY, RepOD, V1

Dyskretny model symulacyjny do wspomagania planowania programów profilaktyki próchnicy zębów

Jan 19, 2024

Hajłasz Maria, 2024, "Dyskretny model symulacyjny do wspomagania planowania programów profilaktyki próchnicy zębów", https://doi.org/10.18150/5HXVGT, RepOD, V1