E-LIB Suche - Ergebnisse für: Mete, Mutlu

1

Distributed Bearing Fault Classification of Induction Motor..:

Rajabioun, Ramin ; Afshar, Mojtaba ; Mete, Mutlu..
IEEE Journal of Emerging and Selected Topics in Industrial Electronics. 5 (2024) 1 - p. 115-125 , 2024

Link: https://doi.org/10.1109/..

2

Identification of Optimal Time Domain Features for Machine ..:

, In: 2024 IEEE 17th Dallas Circuits and Systems Conference (DCAS),

Akin, Vehbi ; Mete, Mutlu - p. 1-3 , 2024

Link: https://doi.org/10.1109/..

3

Investigating the Impact of Signal Resolution on Machine Le..:

, In: 2024 IEEE 17th Dallas Circuits and Systems Conference (DCAS),

Akin, Vehbi ; Mete, Mutlu - p. 1-4 , 2024

Link: https://doi.org/10.1109/..

4

Thrombocytosis and megakaryocyte changes associated with PR..:

Abdallah, Joelle ; Williams, Robert George ; Awada, Hussein...
Blood Advances. , 2024

Link: https://doi.org/10.1182/..

5

MRI‐based radiomic features for identifying recurrent prost..:

Gumus, Kazim Z. ; Contreras, Samuel Serrano ; Al‐Toubat, Mohammed...
Journal of Applied Clinical Medical Physics. 25 (2024) 3 - p. , 2024

Link: https://doi.org/10.1002/..

6

Classification of Distributed Bearing Faults Using a Novel ..:

Rajabioun, Ramin ; Afshar, Mojtaba ; Atan, Özkan..
IEEE Transactions on Energy Conversion. 39 (2024) 2 - p. 963-973 , 2024

Link: https://doi.org/10.1109/..

7

MRI-based nomograms and radiomics in presurgical prediction..:

Calimano-Ramirez, Luis F. ; Virarkar, Mayur K. ; Hernandez, Mauricio...
Abdominal Radiology. 48 (2023) 7 - p. 2379-2400 , 2023

Link: https://doi.org/10.1007/..

8

Machine learning prediction for COVID-19 disease severity a..:

Raman, Ganesh ; Ashraf, Bilal ; Demir, Yusuf Kemal...
BMC Medical Informatics and Decision Making. 23 (2023) 1 - p. , 2023

Link: https://doi.org/10.1186/..

9

Predicting Post-Heart Transplant Composite Renal Outcome Ri..:

Mete, Mutlu ; Ayvaci, Mehmet U.S. ; Ariyamuthu, Venkatesh K....
Kidney International Reports. 7 (2022) 6 - p. 1410-1415 , 2022

Link: https://doi.org/10.1016/..

10

Clifford algebra multivectors and kernels for melanoma clas..:

Akar, Mutlu ; Sirakov, Nikolay M. ; Mete, Mutlu
Mathematical Methods in the Applied Sciences. 45 (2021) 7 - p. 4056-4068 , 2021

Link: https://doi.org/10.1002/..

11

A Quaternary Classifier for the Clinical Evaluation of Pigm..:

, In: 2020 IEEE 20th International Conference on Bioinformatics and Bioengineering (BIBE),

Mete, Mutlu ; Sirakov, Nikolay ; Dickson, Lauren... - p. 734-739 , 2020

Link: https://doi.org/10.1109/..

12

Impact of induction immunosuppression on patient survival i..:

Amin, Alpesh A. ; Araj, Faris G. ; Ariyamuthu, Venkatesh K....
Clinical Transplantation. 33 (2019) 8 - p. , 2019

Link: https://doi.org/10.1111/..

13

Classification of cocaine‐dependent participants with dynam..:

Sakoglu, Unal ; Mete, Mutlu ; Esquivel, John...
Journal of Neuroscience Research. 97 (2019) 7 - p. 790-803 , 2019

Link: https://doi.org/10.1002/..

14

Local edge-enhanced active contour for accurate skin lesion..:

Bayraktar, Mustafa ; Kockara, Sinan ; Halic, Tansel...
BMC Bioinformatics. 20 (2019) S2 - p. , 2019

Link: https://doi.org/10.1186/..

15

Abrupt skin lesion border cutoff measurement for malignancy..:

Kaya, Sertan ; Bayraktar, Mustafa ; Kockara, Sinan...
BMC Bioinformatics. 17 (2016) S13 - p. , 2016

Link: https://doi.org/10.1186/..