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Thiruvengadam, Arvind
49  Ergebnisse:
Personensuche X
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1

Data-driven machine learning model of a Selective Catalytic..:

Okeleye, Samuel Adeola ; Thiruvengadam, Arvind ; Perhinschi, Mario G..
Energy.  290 (2024)  - p. 130117 , 2024
Link: https://doi.org/10.1016/..
 
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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

Performance characterization of a selective catalytic reduc..:

Okeleye, Samuel Adeola ; Thiruvengadam, Arvind ; Besch, Marc Cyril..
Journal of the Energy Institute.  110 (2023)  - p. 101330 , 2023
Link: https://doi.org/10.1016/..
 
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4

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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5

Assessment of On-Road High NOx Emitters by Using Machine Le..:

Kazan, Filiz ; Thiruvengadam, Arvind ; Besch, Marc C.
Emission Control Science and Technology.  9 (2023)  3-4 - p. 177-188 , 2023
Link: https://doi.org/10.1007/..
 
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6

Investigating cylinder deactivation as a low fuel-penalty t..:

Hushion, Christian ; Thiruvengadam, Arvind ; Pondicherry, Rasik...
Frontiers in Mechanical Engineering.  8 (2022)  - p. , 2022
Link: https://doi.org/10.3389/..
 
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7

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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8

Real-world emissions from modern heavy-duty vehicles: Sensi..:

Demirgok, Berk ; Thiruvengadam, Arvind ; Pradhan, Saroj...
Atmospheric Environment.  252 (2021)  - p. 118294 , 2021
Link: https://doi.org/10.1016/..
 
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9

Cylinder Deactivation as an Effective Means for Exhaust The..:

, In: Proceedings; Internationaler Motorenkongress 2021,
Janak, Robb ; Matheus, Andrew ; Singh, Jasmeet... - p. 247-266 , 2021
Link: https://doi.org/10.1007/..
 
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10

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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11

A Vehicle Activity-based Windowing approach to evaluate rea..:

Pondicherry, Rasik ; Besch, Marc C. ; Thiruvengadam, Arvind.
Atmospheric Environment.  247 (2021)  - p. 118169 , 2021
Link: https://doi.org/10.1016/..
 
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12

A Novel Approach to Test Cycle-Based Engine Calibration Tec..:

Thiruvengadam, Pragalath ; Thiruvengadam, Arvind ; Ryskamp, Ross...
SAE International Journal of Engines.  13 (2020)  4 - p. 559-582 , 2020
Link: https://www.jstor.org/st..
 
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13

Characterization of Energy Distribution and Efficiency in a..:

Thiruvengadam, Arvind ; Pradhan, Saroj ; Thiruvengadam, Pragalath...
SAE International Journal of Engines.  13 (2020)  4 - p. 583-600 , 2020
Link: https://www.jstor.org/st..
 
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14

Comparative Analysis of Performance of Neural Estimators fo..:

Fravolini, Mario Luca ; Cone, Alexandru ; Napolitano, Marcello...
SAE International Journal of Engines.  11 (2018)  3 - p. 277-288 , 2018
Link: https://www.jstor.org/st..
 
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15

Natural gas vehicles in heavy-duty transportation-A review:

Thiruvengadam, Arvind ; Besch, Marc ; Padmanaban, Vishnu..
Energy Policy.  122 (2018)  - p. 253-259 , 2018
Link: https://doi.org/10.1016/..
 
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