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Sarat Dass

Dr

20062019
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Fingerprint Dive into the research topics where Sarat Dass is active. These topic labels come from the works of this person. Together they form a unique fingerprint.

Electroencephalography Engineering & Materials Science
Nonlinear dynamical systems Engineering & Materials Science
Parameter estimation Engineering & Materials Science
Markov processes Engineering & Materials Science
Dynamical systems Engineering & Materials Science
Brain Engineering & Materials Science
Leaf springs Engineering & Materials Science
Malaysia Physics & Astronomy

Co Author Network Recent external collaboration on country level. Dive into details by clicking on the dots.

Research Output 2006 2019

Gaussian process methodology for multi-frequency marine controlled-source electromagnetic profile estimation in isotropic medium

Aris, M. N. M., Daud, H., Dass, S. C. & Noh, K. A. M., 27 Sep 2019, In : Processes. 7, 10, 661.

Research output: Contribution to journalArticle

Open Access
File
Hydrocarbons
Mean square error
Electromagnetic waves
Linear systems
Computer simulation

Optimizing Camera Placement Based on Task Modeling

Altahir, A. A., Asirvadam, V. S., Hamid, N., Sebastian, P., Saad, N. & Dass, S. C., 31 Jan 2019, 2018 IEEE Sensors. p. 601-604

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Segmentation Of Blood Clot MRI Images Using Intuitionistic Fuzzy Set Theory

Albashah, N. L. S. B., Dass, S. C., Asirvadam, V. S. & Meriaudeau, F., 28 Jan 2019, 2018 IEEE-EMBS Conference on Biomedical Engineering and Sciences (IECBES). p. 533-538

Research output: Chapter in Book/Report/Conference proceedingConference contribution

A Bayesian parameter learning procedure for nonlinear dynamical systems via the ensemble Kalman filter

Rehman, M. J. U., Dass, S. C. & Asirvadam, V. S., 31 May 2018, 2018 IEEE 14th International Colloquium on Signal Processing & Its Applications (CSPA). IEEE, p. 161-166 6 p.

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Nonlinear dynamical systems
Kalman filters
Dynamical systems
State estimation
Markov processes

A study of decoding human brain activities from simultaneous data of EEG and fMRI using MVPA

Zafar, R., Kamel, N., Naufal, M., Malik, A. S., Dass, S. C., Ahmad, R. F., Abdullah, J. M. & Reza, F., Sep 2018, In : Australasian Physical and Engineering Sciences in Medicine. 41, 3, p. 633-645 13 p.

Research output: Contribution to journalArticle