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)

Event Prediction for Individual Unit Based on Recurrent Event Data Collected in Teleservice Systems. - Akash Deep; Dharmaraj Veeramani; Shiyu Zhou (IEEE Trans. Reliab., 2020)

Copula-based multi-event modeling and prediction using fleet service records. - Akash Deep; Shiyu Zhou; Dharmaraj Veeramani (IISE Trans., 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)

A Custom Word Embedding Model for Clustering of Maintenance Records. - Abhijeet Sandeep Bhardwaj; Akash Deep; Dharmaraj Veeramani; Shiyu Zhou (IEEE Trans. Ind. Informatics, 2022)

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 003; Jairaj Sathyanarayana (ECML/PKDD (6), 2023)

Industrial system working condition identification using operation-adjusted hidden Markov model. - Jinwen Sun; Akash Deep; Shiyu Zhou; Dharmaraj Veeramani (J. Intell. Manuf., 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., 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., 2023)

Enhancing Phoneme Recognition in the Bengali Language Through Fine-Tuning of Multilingual Model. - Akash Deep; Puja Bharati; Sabyasachi Chandra; Debolina Pramanik; Korra Siva Naik; Shayamal Kumar Das Mandal (O-COCOSDA, 2024)

Bayesian Joint Model of Multi-Sensor and Failure Event Data for Multi-Mode Failure Prediction. - Sina Aghaee Dabaghan Fard; Minhee Kim; Akash Deep; Jaesung Lee (CoRR, 2025)