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Katreddi, Sasanka
10  Ergebnisse:
Personensuche X
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1

Mixed Effects Random Forest Model for Maintenance Cost Esti..:

Katreddi, Sasanka ; Thiruvengadam, Arvind ; Thompson, Gregory J..
IEEE Access.  11 (2023)  - p. 67168-67179 , 2023
Link: https://doi.org/10.1109/..
 
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2

Machine learning models for maintenance cost estimation in ..:

Katreddi, Sasanka ; Thiruvengadam, Arvind ; Thompson, Gregory..
Frontiers in Mechanical Engineering.  9 (2023)  - p. , 2023
Link: https://doi.org/10.3389/..
 
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3

A Review of Applications of Artificial Intelligence in Heav..:

Katreddi, Sasanka ; Kasani, Sujan ; Thiruvengadam, Arvind
Energies.  15 (2022)  20 - p. 7457 , 2022
Link: https://doi.org/10.3390/..
 
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4

Trip Based Modeling of Fuel Consumption in Modern Heavy-Dut..:

Katreddi, Sasanka ; Thiruvengadam, Arvind
Energies.  14 (2021)  24 - p. 8592 , 2021
Link: https://doi.org/10.3390/..
 
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5

Machine learning models for maintenance cost estimation in ..:

Sasanka Katreddi ; Arvind Thiruvengadam ; Gregory Thompson..
https://www.frontiersin.org/articles/10.3389/fmech.2023.1201068/full.  , 2023
Link: https://doi.org/10.3389/..
 
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6

Mixed Effects Random Forest Model for Maintenance Cost Esti..:

Sasanka Katreddi ; Arvind Thiruvengadam ; Gregory J. Thompson.
https://ieeexplore.ieee.org/document/10168912/.  , 2023
Link: https://doi.org/10.1109/..
 
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7

A Review of Applications of Artificial Intelligence in Heav..:

Sasanka Katreddi ; Sujan Kasani ; Arvind Thiruvengadam
E: Electric Vehicles.  , 2022
Link: https://doi.org/10.3390/..
 
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8

A Review of Applications of Artificial Intelligence in Heav..:

Sasanka Katreddi ; Sujan Kasani ; Arvind Thiruvengadam
https://www.mdpi.com/1996-1073/15/20/7457.  , 2022
Link: https://doi.org/10.3390/..
 
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9

Trip Based Modeling of Fuel Consumption in Modern Heavy-Dut..:

Sasanka Katreddi ; Arvind Thiruvengadam
https://www.mdpi.com/1996-1073/14/24/8592.  , 2021
Link: https://doi.org/10.3390/..
 
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10

Trip Based Modeling of Fuel Consumption in Modern Heavy-Dut..:

Sasanka Katreddi ; Arvind Thiruvengadam
https://dx.doi.org/10.3390/en14248592.  , 2021
Link: https://doi.org/10.3390/..
 
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