Mukesh, R. and Dass, S.C. and Vijay, M. and Kiruthiga, S. and Sagayam, V. (2024) Prediction of ionospheric TEC by LSTM and OKSM during M class solar flares occurred during the year 2023. Astrophysics and Space Science, 369 (3).

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. ISSN 21984182

Thiruchelvam, L. and Dass, S.C. and Asirvadam, V.S. and Daud, H. and Gill, B.S. (2021) Determine neighboring region spatial effect on dengue cases using ensemble ARIMA models. Scientific Reports, 11 (1). ISSN 20452322

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. ISSN 25228595

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, 2011�2019. Computers, Materials and Continua, 66 (3). pp. 3065-3074. ISSN 15462218

Feng, Y.X. and Kiguchi, M. and Ung, W.C. and Dass, S.C. and Hani, A.F.M. and Tang, T.B. and Ho, E.T.W. (2021) Working memory performance under a negative affect is more susceptible to higher cognitive workloads with different neural haemodynamic correlates. Brain Sciences, 11 (7). ISSN 20763425

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. ISSN 20763417

Khor, C.S. and Sofia Nurazrin, N.N. and Hanafi, F.M. and Asallehan, F.N. and Rosman, N.Z. and Leam, J.J. and Dass, S.C. and Zainal Abidin, S.A. and Anuar, F.S. (2020) Correlation model development for saybolt colour of condensates and light crude oils. ASM Science Journal, 13. ISSN 18236782

Aris, M.N.M. and Daud, H. and Noh, K.A.M. and Dass, S.C. (2020) Model calibration of stochastic process and computer experiment for MVO analysis of multi-low-frequency electromagnetic data. Processes, 8 (5). ISSN 22279717

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.

Leam, J.J. and Khor, C.S. and Dass, S.C. (2020) Saybolt color prediction for condensates and light crude oils. Journal of Petroleum Exploration and Production Technology. ISSN 21900558

Ullah, S. and Daud, H. and Dass, S.C. and Fanaee-t, H. and Kausarian, H. and Khalil, A. (2020) Space-time clustering characteristics of tuberculosis in Khyber Pakhtunkhwa Province, Pakistan, 2015�2019. International Journal of Environmental Research and Public Health, 17 (4). ISSN 16617827

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. ISSN 00189456

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. ISBN 9789811501029; 9789811501012

Aris, M.N.M. and Daud, H. and Dass, S.C. and Noh, K.A.M. (2019) Gaussian Processes for Hydrocarbon Depth Estimation in Forward Modeling of Seabed Logging. Journal of Environmental and Engineering Geophysics, 24 (3). pp. 399-408. ISSN 10831363

Aris, M.N.M. and Daud, H. and Dass, S.C. and Noh, K.A.M. (2019) Gaussian process methodology for multi-frequency marine controlled-source electromagnetic profile estimation in isotropic medium. Processes, 7 (10). ISSN 22279717

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). ISSN 23071885

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. ISSN 01279696

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.

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) Visualizing the Energy of Scattered Data by Using Cubic Timmer Triangular Patches. 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. ISSN 01651684

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. In: UNSPECIFIED.

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. In: UNSPECIFIED.

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. ISSN 18271987

Rizwan, M. and Dass, S.C. and Asirvadam, V.S. and Gill, B.S. and Sulaiman, L.H. (2018) DenMap: A Dengue Surveillance System for Malaysia. In: UNSPECIFIED.

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. ISSN 01679473

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. ISSN 1530437X

Altahir, A.A. and Asirvadam, V.S. and Hamid, N. and Sebastian, P. and Saad, N. and Dass, S.C. (2018) Optimizing camera placement based on task modeling. In: UNSPECIFIED.

Aris, M.N.M. and Daud, H. and Dass, S.C. (2018) Prediction of hydrocarbon depth for seabed logging (SBL) application using Gaussian process. In: UNSPECIFIED.

Mohd Aris, M.N. and Daud, H. and Dass, S.C. (2018) Processing synthetic seabed logging (SBL) data using Gaussian Process regression. In: UNSPECIFIED.

Mathur, N. and Asirvadam, V.S. and Dass, S.C. (2018) Spatial-Temporal Visualization of Dengue Incidences Using Gaussian Kernel. In: UNSPECIFIED.

Feng, Y.X. and Ung, W.C. and Dass, S.C. and Mohd Hani, A.F. and Tang, T.B. and Wei Ho, E.T. (2018) Temporal Haemodynamic Measures of Mood and Work Load Effects on Working Memory Performance. In: UNSPECIFIED.

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). ISSN 19326203

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, 41 (3). pp. 633-645. ISSN 01589938

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). ISSN 16876172

Khan, J. and Malik, A.S. and Kamel, N. and Dass, S.C. and Affandi, A.M. (2017) Automated system for acne vulgaris grading using self-organizing map. Journal of Medical Imaging and Health Informatics, 7 (8). pp. 1705-1713. ISSN 21567018

Zafar, R. and Malik, A.S. and Shuaibu, A.N. and Javvad Ur Rehman, M. and Dass, S.C. (2017) Classification of fMRI data using support vector machine and convolutional neural network. In: UNSPECIFIED.

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. In: UNSPECIFIED.

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. ISSN 02196352

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. ISSN 18761100

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. ISSN 18271987

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). ISSN 19326203

Radzi, S.S.M. and Asirvadam, V.S. and Dass, S.C. and Hutapea, D.K.Y. (2017) Evaluation of simulated VEP signals on basis of Higuchi and Katz's algorithm. In: UNSPECIFIED.

Thiruchelvam, L. and Asirvadam, V.S. and Dass, S.C. and Daud, H. and Gill, B.S. (2017) K-step ahead prediction models for dengue occurrences. In: UNSPECIFIED.

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. ISSN 09603174

Mahmoud, A.A. and Dass, S.C. and Muthuvalu, M.S. and Asirvadam, V.S. (2017) Maximum Likelihood Inference for Univariate Delay Differential Equation Models with Multiple Delays. Complexity, 2017. ISSN 10762787

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. In: UNSPECIFIED.

Altahir, A.A. and Asirvadam, V.S. and Hamid, N.H. and Sebastian, P. and Saad, N. and Ibrahim, R. and Dass, S.C. (2017) Modeling Multicamera Coverage for Placement Optimization. IEEE Sensors Letters, 1 (6). ISSN 24751472

Zafar, R. and Malik, A.S. and Shuaibu, A.N. and Javvad Ur Rehman, M. and Dass, S.C. (2017) Multiple trials in event related fMRI for different conditions. In: UNSPECIFIED.

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. ISSN 1530437X

Mathulamuthu, S.S. and Asirvadam, V.S. and Dass, S.C. and Gill, B.S. (2017) Predicting dengue cases by aggregation of climate variable using manifold learning. In: UNSPECIFIED.

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. In: UNSPECIFIED.

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. ISSN 21693536

Mathur, N. and Asirvadam, V.S. and Dass, S.C. and Gill, B.S. (2017) Visualization of dengue incidences using expectation maximization (EM) algorithm. In: UNSPECIFIED.

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. ISSN 09734562

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.

Ali, A.S.O. and Asirvadam, V.S. and Malik, A.S. and Aziz, A. and Dass, S.C. (2016) Combined geometric and texture features for face recognition. In: UNSPECIFIED.

Dass, S.C. (2016) Comment on article by chkrebtii, campbell, calderhead, and girolami. Bayesian Analysis, 11 (4). pp. 1275-1277. ISSN 19360975

Zafar, R. and Malik, A.S. and Kamel, N. and Dass, S.C. (2016) FMRI based brain state analysis of visual activities. In: UNSPECIFIED.

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.

Zafar, R. and Malik, A.S. and Kamel, N. and Dass, S.C. (2016) Importance of realignment parameters in fMRI data analysis. In: UNSPECIFIED.

Ur Rehman, M.J. and Dass, S.C. and Asirvadam, V.S. (2016) Markov chain Monte Carlo (MCMC) method for parameter estimation of nonlinear dynamical systems. 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. ISSN 21567085

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

Ur Rehman, M.J. and Dass, S.C. and Asirvadam, V.S. and Adly, A. (2016) Parameter estimation for nonlinear disease dynamical system using particle filter. In: UNSPECIFIED.

Loshini, T. and Asirvadam, V.S. and Dass, S.C. and Gill, B.S. (2016) Predicting localized dengue incidences using ensemble system identification. In: UNSPECIFIED.

Zafar, R. and Malik, A.S. and Kamel, N. and Dass, S.C. (2016) Role of voxel selection and ROI in fMRI data analysis. 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 PIV�LIF technique. Journal of Visualization, 19 (1). pp. 103-114. ISSN 13438875

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. ISSN 1559128X

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.

Mahmoud, A.A. and Dass, S.C. and Muthuvalu, M.S. (2016) A maximum likelihood estimation framework for the exponential Differential Equation Model. In: UNSPECIFIED.

Gupta, R. and Elamvazuthi, I. and Dass, S.C. and George, J. and Rozalli, F.I. and Faye, I. and Vasant, P. (2015) Adaptive contrast enhancement of supraspinatus (SSP) tendon ultrasound images. Journal of Medical Imaging and Health Informatics, 5 (3). pp. 581-590. ISSN 21567018

Dass, S.C. and Lim, C.Y. and Maiti, T. and Zhang, Z. (2015) Clustering curves based on change point analysis : a nonparametric Bayesian approach. Statistica Sinica, 25 (2). pp. 677-708. ISSN 10170405

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. ISSN 02196352

Zafar, R. and Malik, A.S. and Amin, H.U. and Kamel, N. and Dass, S.C. (2015) Discrimination of brain states using wavelet and power spectral density. Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), 9492. pp. 341-347. ISSN 03029743

Mukhtar, S.M. and Daud, H. and Dass, S.C. (2015) Prediction of Hydrocarbon Using Gaussian Process for Seabed Logging Application. In: UNSPECIFIED.

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). ISSN 1475925X

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.

Muthuvalu, M.S. and Akhir, M.K.M. and Sulaiman, J. and Suleiman, M. and Dass, S.C. and Singh, N.S.S. (2014) The arithmetic mean iterative method for solving 2D Helmholtz equation. 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. ISSN 19326157

Dass, S.C. (2013) Fingerprint-based recognition. International Statistical Review, 81 (2). pp. 175-187. ISSN 03067734