Akash Deep

According to our database, Akash Deep authored at least 9 papers between 2015 and 2023.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of three.

2023

Partially observable Markov decision process-based optimal maintenance planning with time-dependent observations.

Akash Deep, Shiyu Zhou, Dharmaraj Veeramani, Yong Chen

Eur. J. Oper. Res., December, 2023

HMM-Based Joint Modeling of Condition Monitoring Signals and Failure Event Data for Prognosis.

Akash Deep, Shiyu Zhou, Dharmaraj Veeramani, Yong Chen

IEEE Trans. Reliab., September, 2023

Industrial system working condition identification using operation-adjusted hidden Markov model.

Jinwen Sun, Akash Deep, Shiyu Zhou, Dharmaraj Veeramani

J. Intell. Manuf., August, 2023

DyCOD - Determining Cash on Delivery Limits for Real-Time E-commerce Transactions via Constrained Optimisation Modelling.

Akash Deep, Sri Charan Kattamuru, Meghana Negi, Jose Mathew, Jairaj Sathyanarayana

Proceedings of the Machine Learning and Knowledge Discovery in Databases: Applied Data Science and Demo Track, 2023

2022

A Custom Word Embedding Model for Clustering of Maintenance Records.

Abhijeet Sandeep Bhardwaj, Akash Deep, Dharmaraj Veeramani, Shiyu Zhou

IEEE Trans. Ind. Informatics, 2022

2021

A deep learning approach for predicting critical events using event logs.

Congfang Huang, Akash Deep, Shiyu Zhou, Dharmaraj Veeramani

Qual. Reliab. Eng. Int., 2021

Copula-based multi-event modeling and prediction using fleet service records.

Akash Deep, Shiyu Zhou, Dharmaraj Veeramani

IISE Trans., 2021

2020

Event Prediction for Individual Unit Based on Recurrent Event Data Collected in Teleservice Systems.

Akash Deep, Dharmaraj Veeramani, Shiyu Zhou

IEEE Trans. Reliab., 2020

2015

Formation of High-Purity Indium Oxide Nanoparticles and Their Application to Sensitive Detection of Ammonia.

Sanjeev K. Bhardwaj, Neha Bhardwaj, Manil Kukkar, Amit L. Sharma, Ki-Hyun Kim, Akash Deep

Sensors, 2015