Akash Deep

14 papers Journal 12Unranked 2
YearRankTypeTitle / Venue / Authors
2026 J jnl
Full-Field Damage Monitoring in Architected Lattices Using In situ Electrical Impedance Tomography.
CoRR
Akash Deep, Andrea Samore, Alistair Lee McEwan, Andrew McBride, Shanmugam Kumar
2025 J jnl
A New View of Neural Network-Based Health Index: Connecting Prediction and Operational Decision-Making to Address Underspecification.
IEEE Trans Autom. Sci. Eng.
Zihan Li, Akash Deep, Jaesung Lee, Minhee Kim
2025 J jnl
Bayesian Joint Model of Multi-Sensor and Failure Event Data for Multi-Mode Failure Prediction.
CoRR
Sina Aghaee Dabaghan Fard, Minhee Kim, Akash Deep, Jaesung Lee
2025 J jnl
Wireless smart automation using IOT based Raspberry Pi.
Int. J. Adv. Intell. Paradigms
Vasu Goel, Akash Deep, Madireddy Vivek Reddy, Yedukondala Rao Veeranki
2024 — conf
Enhancing Phoneme Recognition in the Bengali Language Through Fine-Tuning of Multilingual Model.
O-COCOSDA
Akash Deep, Puja Bharati, Sabyasachi Chandra, Debolina Pramanik, Korra Siva Naik, Shayamal Kumar Das Mandal
2023 — conf
DyCOD - Determining Cash on Delivery Limits for Real-Time E-commerce Transactions via Constrained Optimisation Modelling.
ECML/PKDD (6)
Akash Deep, Sri Charan Kattamuru, Meghana Negi, Jose Mathew, Jairaj Sathyanarayana
2023 J jnl
HMM-Based Joint Modeling of Condition Monitoring Signals and Failure Event Data for Prognosis.
IEEE Trans. Reliab.
Akash Deep, Shiyu Zhou, Dharmaraj Veeramani, Yong Chen
2023 J jnl
Industrial system working condition identification using operation-adjusted hidden Markov model.
J. Intell. Manuf.
Jinwen Sun, Akash Deep, Shiyu Zhou, Dharmaraj Veeramani
2023 J jnl
Partially observable Markov decision process-based optimal maintenance planning with time-dependent observations.
Eur. J. Oper. Res.
Akash Deep, Shiyu Zhou, Dharmaraj Veeramani, Yong Chen
2022 J jnl
A Custom Word Embedding Model for Clustering of Maintenance Records.
IEEE Trans. Ind. Informatics
Abhijeet Sandeep Bhardwaj, Akash Deep, Dharmaraj Veeramani, Shiyu Zhou
2021 J jnl
A deep learning approach for predicting critical events using event logs.
Qual. Reliab. Eng. Int.
Congfang Huang, Akash Deep, Shiyu Zhou, Dharmaraj Veeramani
2021 J jnl
Copula-based multi-event modeling and prediction using fleet service records.
IISE Trans.
Akash Deep, Shiyu Zhou, Dharmaraj Veeramani
2020 J jnl
Event Prediction for Individual Unit Based on Recurrent Event Data Collected in Teleservice Systems.
IEEE Trans. Reliab.
Akash Deep, Dharmaraj Veeramani, Shiyu Zhou
2015 J jnl
Formation of High-Purity Indium Oxide Nanoparticles and Their Application to Sensitive Detection of Ammonia.
Sensors
Sanjeev K. Bhardwaj, Neha Bhardwaj, Manil Kukkar, Amit L. Sharma, Ki-Hyun Kim, Akash Deep