S. Sarkar

发表

In : Fault Detection : Classification , Techniques and Role inIndustrial Systems

A. Ray, S. Sarkar, S. Sarkar, 2013 .

Manifold Alignment and Wavelet Analysis For Fault Detection Across Machines

Hala Mostafa, S. Sarkar, G. Ekladious, 2018 .

Wearable EEG-based Activity Recognition in PHM-related Service Environment via Deep Learning

Michael Giering, Soumalya Sarkar, Kishore Reddy, 2020, International Journal of Prognostics and Health Management.

Deep Learning for Structural Health Monitoring : A Damage Characterization Application

Michael Giering, Soumalya Sarkar, Kishore K. Reddy, 2016 .

Multi-fidelity Learning with Heterogeneous Domains

S. Sarkar, 2019 .

Machine Learning to Aid Tuning of Numerical Parameters in Topology Optimization

Matthew E. Lynch, K. Maute, S. Sarkar, 2019, Journal of Mechanical Design.

A Context-aware Multi-layered Sensor Network for Border Surveillance

A. Ray, S. Phoha, S. Sarkar, 2014 .

Machine Learning Enabled Adaptive Optimization of a Transonic Compressor Rotor With Precompression

Michael M. Joly, D. Mehta, S. Sarkar, 2019, Journal of Turbomachinery.

Symbolic transient time-series analysis for fault detection in aircraft gas turbine engines

Kushal Mukherjee, Asok Ray, Soumik Sarkar, 2012, 2012 American Control Conference (ACC).

Investigation of Combustion Instability in a Swirl-Stabilized Combustor Using Symbolic Time Series Analysis

S. Sarkar, S. Chakravarthy, V. Ramanan, 2014 .

Context-aware Dynamic Data-driven Pattern Classification

Asok Ray, Shashi Phoha, Soumalya Sarkar, 2014, ICCS.

3D Convolutional Selective Autoencoder For Instability Detection in Combustion Systems pdf

Soumik Sarkar, Soumalya Sarkar, Tryambak Gangopadhyay, 2021, Energy and AI.

Scalable Bayesian optimization with high-dimensional outputs using randomized prior networks

Mohamed Aziz Bhouri, P. Perdikaris, S. Sarkar, 2023, ArXiv.

Algorithms for Context Learning and Information Representation for Multi-Sensor Teams

Asok Ray, Shashi Phoha, Soumalya Sarkar, 2016, Context-Enhanced Information Fusion.

Symbolic Dynamic Analysis of Transient Time Series for Fault Detection in Gas Turbine Engines

Kushal Mukherjee, Asok Ray, Soumik Sarkar, 2013 .

In : Fault Detection : Classification , Techniques and Role inIndustrial Systems

A. Ray, S. Sarkar, S. Sarkar, 2013 .

Multifidelity and Multiscale Bayesian Framework for High-Dimensional Engineering Design and Calibration

Paris Perdikaris, Soumalya Sarkar, Shaunak D. Bopardikar, 2019, Journal of Mechanical Design.

Multi-Fidelity Modeling of Spatio-Temporal Fields

S. Sarkar, Sudeepta Mondal, 2021 .

Dynamic data-driven prediction of instability in a swirl-stabilized combustor

Asok Ray, Soumalya Sarkar, Satyanarayanan R. Chakravarthy, 2016 .

Anomaly detection in flight recorder data: A dynamic data-driven approach

Asok Ray, Donald L. Simon, Ashok N. Srivastava, 2013, 2013 American Control Conference.

Performance comparison of feature extraction algorithms for target detection and classification

Asok Ray, Nasser M. Nasrabadi, Soheil Bahrampour, 2013, Pattern Recognit. Lett..

Flow-field Emulation and Shape Optimization of Compressor Airfoils using Design-Variable Hypernetworks

K. Duraisamy, S. Sarkar, Michael Joly, 2023, AIAA SCITECH 2023 Forum.

Multi-Fidelity Global-Local Optimization of a Transonic Compressor Rotor

Soumalya Sarkar, Sudeepta Mondal, M JolyMichael, 2019, Volume 2D: Turbomachinery.

Prognostics of Combustion Instabilities from Hi-speed Flame Video using A Deep Convolutional Selective Autoencoder

Kin Gwn Lore, S. Sarkar, S. Sarkar, 2020 .

Early Detection of Combustion Instabilities using Deep Convolutional Selective Autoencoders on Hi-speed Flame Video pdf

Soumik Sarkar, Kin Gwn Lore, Soumalya Sarkar, 2016, ArXiv.

Scalable Bayesian optimization with high-dimensional outputs using randomized prior networks

Mohamed Aziz Bhouri, P. Perdikaris, S. Sarkar, 2023, arXiv.org.

Early Detection of Combustion Instability from Hi-speed Flame Images via Deep Learning and Symbolic Time Series Analysis

Asok Ray, Shashi Phoha, Kin Gwn Lore, 2015, Annual Conference of the PHM Society.

Sensor Fusion for Fault Detection and Classification in Distributed Physical Processes

Asok Ray, Soumik Sarkar, Soumalya Sarkar, 2014, Front. Robot. AI.

Dynamic Data-Driven Prediction of Lean Blowout in a Swirl-Stabilized Combustor

Asok Ray, Soumalya Sarkar, Achintya Mukhopadhyay, 2015 .

Scalable Bayesian optimization with randomized prior networks

Mohamed Aziz Bhouri, P. Perdikaris, S. Sarkar, 2023, Computer Methods in Applied Mechanics and Engineering.

Scalable Bayesian optimization with high-dimensional outputs using randomized prior networks

Mohamed Aziz Bhouri, P. Perdikaris, S. Sarkar, 2023, ArXiv.