Items where Author is "Dass, S.C."

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Number of items: 65.

Mohd Aris, M.N. and Daud, H. and Mohd Noh, K.A. and Dass, S.C. (2022) Estimating Marine CSEM Responses Using Gaussian Process Regression Based on Synthetic Models. Studies in Systems, Decision and Control, 383. pp. 235-247.

Mathur, N. and Asirvadam, V.S. and Dass, S.C. and Gill, B.S. (2021) Dynamic Mapping and Visualizing Dengue Incidences in Malaysia Using Machine Learning Techniques. EAI/Springer Innovations in Communication and Computing. pp. 195-226.

Thiruchelvam, L. and Dass, S.C. and Mathur, N. and Asirvadam, V.S. and Gill, B.S. (2021) Inclusion of Climate Variables for Dengue Prediction Model: Preliminary Analysis. In: UNSPECIFIED.

Mohd Aris, M.N. and Daud, H. and Mohd Noh, K.A. and Dass, S.C. (2021) Multivariate Gaussian Process Regression for Evaluating Electromagnetic Profile in Screening Process of Seabed Logging Application. In: UNSPECIFIED.

Ullah, S. and Daud, H. and Zainuddin, N. and Dass, S.C. and Khalil, A. and Fanaee, H.T. and Khan, I. (2021) Space-time cluster analysis of accidental oil spills in Rivers State, Nigeria, 2011â��2019. Computers, Materials and Continua, 66 (3). pp. 3065-3074.

Daud, H. and Mohd Aris, M.N. and Mohd Noh, K.A. and Dass, S.C. (2021) A novel methodology for hydrocarbon depth prediction in seabed logging: Gaussian process-based inverse modeling of electromagnetic data. Applied Sciences (Switzerland), 11 (4). pp. 1-20.

Aris, M.N.M. and Daud, H. and Noh, K.A.M. and Dass, S.C. and Mukhtar, S.M. (2020) Modelling 1-D synthetic seabed logging data for thin hydrocarbon detection: An application of Gaussian process. In: UNSPECIFIED.

Altahir, A.A. and Asirvadam, V.S. and Hamid, N.H.B. and Sebastian, P. and Hassan, M.A. and Saad, N.B. and Ibrahim, R. and Dass, S.C. (2020) Visual Sensor Placement Based on Risk Maps. IEEE Transactions on Instrumentation and Measurement, 69 (6). pp. 3109-3117.

Ali, F.A.M. and Karim, S.A.A. and Dass, S.C. and Skala, V. and Hasan, M.K. and Hashim, I. (2019) Efficient visualization of scattered energy distribution data by using cubic timmer triangular patches. Springer Singapore, pp. 145-180.

Khan, J. and Malik, A.S. and Kamel, N. and Dass, S.C. (2019) Highlights removal using reflected energy and histogram analysis. Journal of Engineering Research, 7 (1).

Ali, F.A.M. and Karim, S.A.A. and Dass, S.C. and Skala, V. and Saaban, A. and Hasan, M.K. and Hashim, I. (2019) New cubic timmer triangular patches with C1 and G1 continuity. Jurnal Teknologi, 81 (6). pp. 1-11.

Albashah, N.L.S.B. and Asirvadam, V.S. and Dass, S.C. and Meriaudeau, F. (2019) Segmentation of blood clot MRI images using intuitionistic fuzzy set theory. In: UNSPECIFIED.

Javvad ur Rehman, M. and Dass, S.C. and Asirvadam, V.S. (2019) An augmented sequential MCMC procedure for particle based learning in dynamical systems. Signal Processing, 160. pp. 32-44.

Ur Rehman, M.J. and Dass, S.C. and Asirvadam, V.S. (2018) A Bayesian parameter learning procedure for nonlinear dynamical systems via the ensemble Kalman filter. Proceedings - 2018 IEEE 14th International Colloquium on Signal Processing and its Application, CSPA 2018. pp. 161-166.

Radzi, S.S.M. and Asirvadam, V.S. and Hutapea, D.K.Y. and Dass, S.C. (2018) Comparison of EEG signals during alert and sleep inertia states using fractal dimension. Proceedings - 2018 IEEE 14th International Colloquium on Signal Processing and its Application, CSPA 2018. pp. 155-160.

Thiruchelvam, L. and Dass, S.C. and Zaki, R. and Yahya, A. and Asirvadam, V.S. (2018) Correlation analysis of air pollutant index levels and dengue cases across five different zones in Selangor, Malaysia. Geospatial Health, 13 (1). pp. 102-109.

Lee, K. and Lee, J. and Dass, S.C. (2018) Inference for differential equation models using relaxation via dynamical systems. Computational Statistics and Data Analysis, 127. pp. 116-134.

Altahir, A.A. and Asirvadam, V.S. and Hamid, N.H.B. and Sebastian, P. and Saad, N.B. and Ibrahim, R.B. and Dass, S.C. (2018) Optimizing Visual Sensor Coverage Overlaps for Multiview Surveillance Systems. IEEE Sensors Journal, 18 (11). pp. 4544-4552.

Ullah, S. and Daud, H. and Dass, S.C. and Hadi, F.-T. and Khalil, A. (2018) An eigenspace approach for detecting multiple space-time disease clusters: Application to measles hotspots detection in khyber-pakhtunkhwa, Pakistan. PLoS ONE, 13 (6).

Zafar, R. and Kamel, N. and Naufal, M. and Malik, A.S. and Dass, S.C. and Ahmad, R.F. and Abdullah, J.M. and Reza, F. (2018) A study of decoding human brain activities from simultaneous data of EEG and fMRI using MVPA. Australasian Physical and Engineering Sciences in Medicine. pp. 1-13.

Javvad ur Rehman, M. and Dass, S.C. and Asirvadam, V.S. (2018) A weighted likelihood criteria for learning importance densities in particle filtering. Eurasip Journal on Advances in Signal Processing, 2018 (1).

Mathulamuthu, S.S. and Asirvadam, V.S. and Dass, S.C. and Gill, B.S. (2017) Cluster based regression model on dengue incidence using dual climate variables. Proceedings - 2016 IEEE Conference on Systems, Process and Control, ICSPC 2016. pp. 64-69.

Zafar, R. and Kamel, N. and Naufal, M. and Malik, A.S. and Dass, S.C. and Ahmad, R.F. and Abdullah, J.M. and Reza, F. (2017) Decoding of visual activity patterns from fMRI responses using multivariate pattern analyses and convolutional neural network. Journal of Integrative Neuroscience, 16 (3). pp. 275-289.

Thiruchelvam, L. and Asirvadam, V.S. and Dass, S.C. and Daud, H. and Gill, B.S. (2017) Dengue incidence prediction using model variables with registered case feedback. Lecture Notes in Electrical Engineering, 398. pp. 163-172.

Ullah, S. and Daud, H. and Dass, S.C. and Khan, H.N. and Khalil, A. (2017) Detecting space-time disease clusters with arbitrary shapes and sizes using a co-clustering approach. Geospatial Health, 12 (2). pp. 210-216.

Zafar, R. and Dass, S.C. and Malik, A.S. (2017) Electroencephalogram-based decoding cognitive states using convolutional neural network and likelihood ratio based score fusion. PLoS ONE, 12 (5).

Dass, S.C. and Lee, J. and Lee, K. and Park, J. (2017) Laplace based approximate posterior inference for differential equation models. Statistics and Computing, 27 (3). pp. 679-698.

Al-Shargie, F. and Tang, T.B. and Badruddin, N. and Dass, S.C. and Kiguchi, M. (2017) Mental stress assessment based on feature level fusion of fNIRS and EEG signals. International Conference on Intelligent and Advanced Systems, ICIAS 2016.

Altahir, A.A. and Asirvadam, V.S. and Hamid, N.H.B. and Sebastian, P. and Saad, N.B. and Ibrahim, R.B. and Dass, S.C. (2017) Optimizing Visual Surveillance Sensor Coverage Using Dynamic Programming. IEEE Sensors Journal, 17 (11). pp. 3398-3405.

Mathulamuthu, S.S. and Asirvadam, V.S. and Dass, S.C. and Gill, B.S. and Loshini, T. (2017) Predicting dengue incidences using cluster based regression on climate data. Proceedings - 6th IEEE International Conference on Control System, Computing and Engineering, ICCSCE 2016. pp. 245-250.

Zafar, R. and Dass, S.C. and Malik, A.S. and Kamel, N. and Rehman, M.J.U. and Ahmad, R.F. and Abdullah, J.M. and Reza, F. (2017) Prediction of Human Brain Activity Using Likelihood Ratio Based Score Fusion. IEEE Access, 5. pp. 13010-13019.

Mathur, N. and Asirvadam, V.S. and Dass, S.C. and Gill, B.S. (2017) Visualization of dengue incidences using expectation maximization (EM) algorithm. International Conference on Intelligent and Advanced Systems, ICIAS 2016.

Mazlan, M.A.A.A. and Khir, M.H.M. and Saad, N.M. and Dass, S.C. (2017) Wifi fingerprinting indoor positioning with multiple access points in a single base station using probabilistic method. International Journal of Applied Engineering Research, 12 (6). p. 1102.

Dass, S.C. and Lee, J. and Lee, K. (2016) Bayesian inference using two-stage Laplace approximation for differential equation models. In: UNSPECIFIED.

Adjed, F. and Faye, I. and Ababsa, F. and Gardezi, S.J. and Dass, S.C. (2016) Classification of skin cancer images using local binary pattern and SVM classifier. In: UNSPECIFIED.

Dass, S.C. (2016) Comment on article by chkrebtii, campbell, calderhead, and girolami. Bayesian Analysis, 11 (4). pp. 1275-1277.

Mathur, N. and Asirvadam, V.S. and Dass, S.C. and Gill, B.S. (2016) Generating vulnerability maps of dengue incidences for Petaling district in Malaysia. In: UNSPECIFIED.

Al-Shargie, F. and Kiguchi, M. and Badruddin, N. and Dass, S.C. and Hani, A.F.M. and Tang, T.B. (2016) Mental stress assessment using simultaneous measurement of EEG and fNIRS. Biomedical Optics Express, 7 (10). pp. 3882-3898.

Rehman, M.J.U. and Dass, S.C. and Asirvadam, V.S. (2016) Nonlinear dynamical system identification using unscented Kalman filter. In: UNSPECIFIED.

Siddiqui, M.I. and Munir, S. and Heikal, M.R. and de Sercey, G. and Aziz, A.R.A. and Dass, S.C. (2016) Simultaneous velocity measurements and the coupling effect of the liquid and gas phases in slug flow using PIVâ��LIF technique. Journal of Visualization, 19 (1). pp. 103-114.

Thiruchelvam, L. and Asirvadam, V.S. and Dass, S.C. and Daud, H. and Gill, B.S. (2016) Sliding window correlation analysis for dengue-climate variable relationship. In: UNSPECIFIED.

Mukhtar, S.M. and Daud, H. and Dass, S.C. (2016) Squared exponential covariance function for prediction of hydrocarbon in seabed logging application. In: UNSPECIFIED.

Kumar, A. and Paramesran, R. and Lim, C.-L. and Dass, S.C. (2016) Tchebichef moment based restoration of Gaussian blurred images. Applied Optics, 55 (32). pp. 9006-9016.

Rizwan, M. and Dass, S.C. and Sagayan, V. (2016) Visualization and detection of spatio-temporal hot-spot and cluster for dengue in Petaling district, Malaysia. In: UNSPECIFIED.

Mahmoud, A.A. and Dass, S.C. and Muthuvalu, M.S. (2016) A maximum likelihood estimation framework for delay logistic differential equation model. In: UNSPECIFIED.

Zafar, R. and Malik, A.S. and Kamel, N. and Dass, S.C. and Abdullah, J.M. and Reza, F. and Abdul Karim, A.H. (2015) Decoding of visual information from human brain activity: A review of fMRI and EEG studies. Journal of Integrative Neuroscience, 14 (2). pp. 155-168.

Khan, J. and Malik, A.S. and Kamel, N. and Dass, S.C. and Affandi, A.M. (2015) Segmentation of acne lesion using fuzzy C-means technique with intelligent selection of the desired cluster. In: UNSPECIFIED.

Khan, J. and Malik, A.S. and Azura, M.A. and Kamel, N. and Dass, S.C. (2014) Compensation for specular illumination in acne patients images using median filter. In: UNSPECIFIED.

Gupta, R. and Elamvazuthi, I. and Dass, S.C. and Faye, I. and Vasant, P. and George, J. and Izza, F. (2014) Curvelet based automatic segmentation of supraspinatus tendon from ultrasound image: A focused assistive diagnostic method. BioMedical Engineering Online, 13 (1).

Kumar, A. and Yusoff, W.I.W. and Asirvadam, V.S. and Dass, S.C. (2014) Integrated analysis of well logs and seismic data for reservoir characterization to estimate hydrocarbon. In: UNSPECIFIED.

Muthuvalu, M.S. and Dass, S.C. and Guan, B.H. and Ching, D.L.C. and Sulaiman, J. (2014) Numerical solutions for linear Fredholm integral equations of the second kind using 2-point half-sweep explicit group method. In: UNSPECIFIED.

Dass, S.C. and Lim, C.Y. and Maiti, T. (2014) A generalized mixed model framework for assessing fingerprint individuality in presence of varying image quality. Annals of Applied Statistics, 8 (3). pp. 1314-1340.

This list was generated on Tue Dec 24 02:39:32 2024 +08.