Soumalya Sarkar

发表

A unified framework for supervised learning of semantic models

Xin Jin, Asok Ray, Yicheng Wen, 2012, 2012 American Control Conference (ACC).

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

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

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.

Multimodal spatiotemporal information fusion using neural-symbolic modeling for early detection of combustion instabilities

Asok Ray, Devesh K. Jha, Soumik Sarkar, 2016, 2016 American Control Conference (ACC).

Machine Learning Enabled Adaptive Optimization of a Transonic Compressor Rotor With Pre-Compression

Dhagash Mehta, Soumalya Sarkar, M JolyMichael, 2018 .

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

Asok Ray, Soumalya Sarkar, Achintya Mukhopadhyay, 2015 .

A Bluetooth-Based Autonomous Mining System

Saikat Roy, Soumalya Sarkar, Avranil Tah, 2013, ICACNI.

Performance comparison of feature extraction algorithms for target detection and classification

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

Early Detection of Combustion Instability by Neural-Symbolic Analysis on Hi-Speed Video

Soumik Sarkar, Kin Gwn Lore, Soumalya Sarkar, 2015, CoCo@NIPS.

Sensor Fusion for Fault Detection and Classification in Distributed Physical Processes

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

Hierarchical symbolic perception in dynamic data driven application systems

Soumalya Sarkar, 2015 .

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

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

Curve ) Baseline Bottleneck Dimension : 206 Bottleneck Dimension : 98 Bottleneck Dimension : 26 Bottleneck Dimension : 14 Bottleneck Dimension : 6 Bottleneck Dimension

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

Spatiotemporal information fusion for fault detection in shipboard auxiliary systems

Asok Ray, Soumik Sarkar, Soumalya Sarkar, 2013, 2013 American Control Conference.

Early detection of lean blow out (LBO) via generalized D-Markov machine construction

Asok Ray, Soumalya Sarkar, Achintya Mukhopadhyay, 2014, 2014 American Control Conference.

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

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

Dynamic Data Driven Sensor Array Fusion for Target Detection and Classification

Kushal Mukherjee, Asok Ray, Shashi Phoha, 2013, ICCS.

Symbolization of dynamic data-driven systems for signal representation

Soumalya Sarkar, Asok Ray, Pritthi Chattopadhyay, 2016, Signal Image Video Process..

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 Global-Local Optimization of a Transonic Compressor Rotor

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

Dynamic data-driven symbolic causal modeling for battery performance & health monitoring

Asok Ray, Yue Li, Devesh K. Jha, 2015, 2015 18th International Conference on Information Fusion (Fusion).

Multi-sensor information fusion for fault detection in aircraft gas turbine engines

Kushal Mukherjee, Asok Ray, Abhishek Srivastav, 2013 .

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 .

Context-aware Dynamic Data-driven Pattern Classification

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

Real-time activity recognition from seismic signature via multi-scale symbolic time series analysis (MSTSA)

Asok Ray, Thyagaraju Damarla, Soumalya Sarkar, 2015, 2015 American Control Conference (ACC).

Alphabet size selection for symbolization of dynamic data-driven systems: An information-theoretic approach

Asok Ray, Shashi Phoha, Soumalya Sarkar, 2015, 2015 American Control Conference (ACC).

Lean blowout (LBO) prediction through symbolic time series analysis

Asok Ray, Soumalya Sarkar, Achintya Mukhopadhyay, 2017 .

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.

Deep Learning for Structural Health Monitoring : A Damage Characterization Application

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

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).

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.