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C
Chetan S. Kulkarni
national aeronautics & space administration (nasa)
21
H指数
175
论文数
2.7K
被引数
0
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11
发表时间
发表时间
IF
被引数
Prescribing optimal health-aware operation for urban air mobility with deep reinforcement learning
通过深度强化学习为城市空中交通规定最佳的健康感知操作
RELIABILITY ENGINEERING & SYSTEM SAFETY
IF
11
2025-07-01
0
OA
AI
Montazeri, Mina; Kulkarni, Chetan S.
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Anomaly detection in Li-ion cells using physics-based reduced-order thermal models
使用基于物理的降阶热模型在锂离子电池中的异常检测
JOURNAL OF POWER SOURCES
IF
7.9
2025-03-01
0
PRE
AI
Mehta, Mohit R.; Crowley, Kyle M.; Khasin, Michael; Kulkarni, Chetan S.; Demattia, Brianne; Lawson, John W.
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Thermal data-driven model reduction for enhanced battery health monitoring
JOURNAL OF POWER SOURCES
IF
7.9
2024-06-01
2
PRE
AI
Khasin, Michael; Mehta, Mohit R.; Kulkarni, Chetan; Lawson, John W.
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Physics-guided recurrent neural network trained with approximate Bayesian computation: A case study on structural response prognostics
用近似贝叶斯计算训练的物理指导的递归神经网络: 结构响应预测的案例研究
RELIABILITY ENGINEERING & SYSTEM SAFETY
IF
11
2024-03-01
9
OA
AI
Fernandez, Juan; Chiachio, Juan; Barros, Jose; Chiachio, Manuel; Kulkarni, Chetan S.
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Training of physics-informed Bayesian neural networks with ABC-SS for prognostic of Li-ion batteries
具有abc-ss的物理信息贝叶斯神经网络的训练,用于锂离子电池的预测
COMPUTERS IN INDUSTRY
IF
9.1
2024-02-01
2
OA
AI
Fernandez, Juan; Corbetta, Matteo; Kulkarni, Chetan S.; Chiachio, Juan; Chiachio, Manuel
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Ageing-aware battery discharge prediction with deep learning
基于深度学习的老化感知电池放电预测
APPLIED ENERGY
IF
11
2023-09-01
4
OA
AI
Biggio, Luca; Bendinelli, Tommaso; Kulkarni, Chetan; Fink, Olga
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A prescriptive Dirichlet power allocation policy with deep reinforcement learning
一种基于深度强化学习的规定性Dirichlet功率分配策略
RELIABILITY ENGINEERING & SYSTEM SAFETY
IF
11
2022-08-01
9
OA
AI
Tian, Yuan; Han, Minghao; Kulkarni, Chetan; Fink, Olga
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Real-time model calibration with deep reinforcement learning
MECHANICAL SYSTEMS AND SIGNAL PROCESSING
IF
8.9
2022-02-01
27
OA
AI
Tian, Yuan; Chao, Manuel Arias; Kulkarni, Chetan; Goebel, Kai; Fink, Olga
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Fusing physics-based and deep learning models for prognostics
融合基于物理和深度学习的预测模型
RELIABILITY ENGINEERING & SYSTEM SAFETY
IF
11
2022-01-01
183
OA
AI
Chao, Manuel Arias; Kulkarni, Chetan; Goebel, Kai; Fink, Olga
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Hybrid physics-informed neural networks for lithium-ion battery modeling and prognosis
用于锂离子电池建模和预测的混合物理信息神经网络
JOURNAL OF POWER SOURCES
IF
7.9
2021-11-01
76
OA
AI
Nascimento, Renato G.; Corbetta, Matteo; Kulkarni, Chetan S.; Viana, Felipe A. C.
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Exploring Architectures for Integrated Resilience Optimization
JOURNAL OF AEROSPACE INFORMATION SYSTEMS
IF
1.5
2021-10-01
2
PRE
AI
Hulse, Daniel; Biswas, Arpan; Hoyle, Christopher; Tumer, Irem Y.; Kulkarni, Chetan; Goebel, Kai
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研究方向
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合作学者
合作期刊
K
Kai Goebel
H 指数: 58 · 论文数: 453
J
John W. Lawson
H 指数: 40 · 论文数: 309
O
Olga Fink
H 指数: 31 · 论文数: 261
F
Felipe Viana
H 指数: 29 · 论文数: 179
I
Irem Y. Tumer
H 指数: 29 · 论文数: 284
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