Items where Author is "Yong, S.-P."

Hajian, A. and Yong, S.-P. (2017) Feature extraction from EEG data for a P300 based brain-computer interface. Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), 10526 . pp. 39-50.

Kleyko, D. and Khan, S. and Osipov, E. and Yong, S.-P. (2017) Modality classification of medical images with distributed representations based on cellular automata reservoir computing. Proceedings - International Symposium on Biomedical Imaging. pp. 1053-1056.

Foong, O.-M. and Hong, K.-W. and Yong, S.-P. (2016) Droopy Mouth Detection Model in stroke warning. In: UNSPECIFIED.

Memon, P.Q. and Yong, S.-P. and Pao, W. (2016) Dynamic Surrogate Reservoir Model with well constraints. In: UNSPECIFIED.

Bhaskar, P.K. and Yong, S.-P. and Jung, L.T. (2016) Enhanced and effective parallel optical flow method for vehicle detection and tracking. In: UNSPECIFIED.

Khan, S. and Yong, S.-P. and Deng, J.D. (2016) Ensemble classification with modified SIFT descriptor for medical image modality. In: UNSPECIFIED.

Yussiff, A.-L. and Yong, S.-P. and Baharudin, B.B. (2016) Human tracking in video surveillance using particle filter. In: UNSPECIFIED.

Abdulkadir, S.J. and Yong, S.-P. (2016) Lorenz time-series analysis using a scaled hybrid model. In: UNSPECIFIED.

Khan, S.A. and Yong, S.-P. and Janjua, U.I. (2016) A comparative evaluation of features for medical image modality classification. Jurnal Teknologi, 78 (8-2). pp. 133-141.

Khan, S. and Yong, S.-P. (2016) A comparison of deep learning and hand crafted features in medical image modality classification. In: UNSPECIFIED.

Abdulkadir, S.J. and Yong, S.-P. and Alhussian, H. (2016) An enhanced ELMAN-NARX hybrid model for FTSE Bursa Malaysia KLCI index forecasting. In: UNSPECIFIED.

Abdulkadir, S.J. and Yong, S.-P. (2014) Empirical analysis of parallel-NARX recurrent network for long-term chaotic financial forecasting. In: UNSPECIFIED.

Abdulkadir, S.J. and Yong, S.-P. and Marimuthu, M. and Lai, F.-W. (2014) Hybridization of ensemble kalman filter and non-linear auto-regressive neural network for financial forecasting. Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), 8891. pp. 72-81.

Bhaskar, P.K. and Yong, S.-P. (2014) Image processing based vehicle detection and tracking method. In: UNSPECIFIED.

Yussiff, A.-L. and Yong, S.-P. and Baharudin, B.B. (2014) Parallel Kalman filter-based multi-human tracking in surveillance video. In: UNSPECIFIED.

Memon, P.Q. and Yong, S.-P. and Pao, W. and Seanl, P.J. (2014) Prediction of Bottom-Hole Flowing Pressure using general regression neural network. In: UNSPECIFIED.

Memon, P.Q. and Yong, S.-P. and Pao, W. and Sean, P.J. (2014) Surrogate reservoir modeling-prediction of Bottom-Hole Flowing Pressure using Radial Basis Neural Network. In: UNSPECIFIED.

Foong, O.-M. and Tran, Q.-T. and Yong, S.-P. and Rais, H.M. (2014) Swarm inspired test case generation for online C++ programming assessment. In: UNSPECIFIED.

Foong, O.-M. and Yong, S.-P. and Lee, A.-L. (2014) Text summarization in android mobile devices. Lecture Notes in Electrical Engineering, 285 LN. pp. 571-578.

Jadid Abdulkadir, S. and Yong, S.-P. (2013) Unscented Kalman filter for noisy multivariate financial time-series data. Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), 8271 L. pp. 87-96.

Jadid Abdulkadir, S. and Yong, S.-P. (2013) Unscented Kalman filter for noisy multivariate financial time-series data. Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), 8271 L. pp. 87-96.

Jadid Abdulkadir, S. and Yong, S.-P. (2013) Unscented Kalman filter for noisy multivariate financial time-series data. Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), 8271 L. pp. 87-96.

Jadid Abdulkadir, S. and Yong, S.-P. (2013) Unscented Kalman filter for noisy multivariate financial time-series data. Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), 8271 L. pp. 87-96.

Jadid Abdulkadir, S. and Yong, S.-P. (2013) Unscented Kalman filter for noisy multivariate financial time-series data. Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), 8271 L. pp. 87-96.