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Akash Deep
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2020 – today
- 2023
- [j8]Akash Deep, Shiyu Zhou, Dharmaraj Veeramani, Yong Chen:
Partially observable Markov decision process-based optimal maintenance planning with time-dependent observations. Eur. J. Oper. Res. 311(2): 533-544 (2023) - [j7]Jinwen Sun, Akash Deep, Shiyu Zhou, Dharmaraj Veeramani:
Industrial system working condition identification using operation-adjusted hidden Markov model. J. Intell. Manuf. 34(6): 2611-2624 (2023) - [j6]Akash Deep, Shiyu Zhou, Dharmaraj Veeramani, Yong Chen:
HMM-Based Joint Modeling of Condition Monitoring Signals and Failure Event Data for Prognosis. IEEE Trans. Reliab. 72(3): 878-888 (2023) - [c1]Akash Deep, Sri Charan Kattamuru, Meghana Negi, Jose Mathew, Jairaj Sathyanarayana:
DyCOD - Determining Cash on Delivery Limits for Real-Time E-commerce Transactions via Constrained Optimisation Modelling. ECML/PKDD (6) 2023: 51-65 - 2022
- [j5]Abhijeet Sandeep Bhardwaj, Akash Deep, Dharmaraj Veeramani, Shiyu Zhou:
A Custom Word Embedding Model for Clustering of Maintenance Records. IEEE Trans. Ind. Informatics 18(2): 816-826 (2022) - 2021
- [j4]Akash Deep, Shiyu Zhou, Dharmaraj Veeramani:
Copula-based multi-event modeling and prediction using fleet service records. IISE Trans. 53(9): 1023-1036 (2021) - [j3]Congfang Huang, Akash Deep, Shiyu Zhou, Dharmaraj Veeramani:
A deep learning approach for predicting critical events using event logs. Qual. Reliab. Eng. Int. 37(5): 2214-2234 (2021) - 2020
- [j2]Akash Deep, Dharmaraj Veeramani, Shiyu Zhou:
Event Prediction for Individual Unit Based on Recurrent Event Data Collected in Teleservice Systems. IEEE Trans. Reliab. 69(1): 216-227 (2020)
2010 – 2019
- 2015
- [j1]Sanjeev K. Bhardwaj, Neha Bhardwaj, Manil Kukkar, Amit L. Sharma, Ki-Hyun Kim, Akash Deep:
Formation of High-Purity Indium Oxide Nanoparticles and Their Application to Sensitive Detection of Ammonia. Sensors 15(12): 31930-31938 (2015)
Coauthor Index
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