Items where Author is "Tang, T.B."

Group by: Item Type | No Grouping

Jump to: Article | Conference or Workshop Item | Book

Number of items: 104.

Article

Lu, C. and Liew, W.S. and Tang, T.B. and Lin, C. (2023) Implementation of a Convolutional Neural Network into an Embedded Device for Polyps Detection. IEEE Embedded Systems Letters. p. 1. ISSN 19430663

Wang, C. and Zhang, Y. and Lim, L.G. and Cao, W. and Zhang, W. and Wan, X. and Fan, L. and Liu, Y. and Zhang, X. and Tian, Z. and Liu, X. and Pan, X. and Zheng, Y. and Pan, R. and Tan, Y. and Zhang, Z. and McIntyre, R.S. and Li, Z. and Ho, R.C.M. and Tang, T.B. (2023) An fNIRS investigation of novel expressed emotion stimulations in schizophrenia. Scientific Reports, 13 (1). ISSN 20452322

Abrams, M.B. and Bjaalie, J.G. and Das, S. and Egan, G.F. and Ghosh, S.S. and Goscinski, W.J. and Grethe, J.S. and Kotaleski, J.H. and Ho, E.T.W. and Kennedy, D.N. and Lanyon, L.J. and Leergaard, T.B. and Mayberg, H.S. and Milanesi, L. and MouÄ�ek, R. and Poline, J.B. and Roy, P.K. and Strother, S.C. and Tang, T.B. and Tiesinga, P. and Wachtler, T. and WÃ³jcik, D.K. and Martone, M.E. (2022) Correction to: A Standards Organization for Open and FAIR Neuroscience: the International Neuroinformatics Coordinating Facility (Neuroinformatics, (2022), 20, 1, (25-36), 10.1007/s12021-020-09509-0). Neuroinformatics, 20 (1). pp. 37-38. ISSN 15392791

Aujih, A.B. and Shapiai, M.I. and Meriaudeau, F. and Tang, T.B. (2022) EDR-Net: Lightweight Deep Neural Network Architecture for Detecting Referable Diabetic Retinopathy. IEEE Transactions on Biomedical Circuits and Systems. pp. 1-12.

Ho, C.S. and Chan, Y.L. and Tan, T.W. and Tay, G.W. and Tang, T.B. (2022) Improving the diagnostic accuracy for major depressive disorder using machine learning algorithms integrating clinical and near-infrared spectroscopy data. Journal of Psychiatric Research, 147. pp. 194-202.

Sadiq, A. and Al-Hiyali, M.I. and Yahya, N. and Tang, T.B. and Khan, D.M. (2022) Non-Oscillatory Connectivity Approach for Classification of Autism Spectrum Disorder Subtypes Using Resting-State fMRI. IEEE Access, 10. pp. 14049-14061.

Sadiq, A. and Yahya, N. and Tang, T.B. and Hashim, H. and Naseem, I. (2022) Wavelet-Based Fractal Analysis of rs-fMRI for Classification of Alzheimerâ��s Disease. Sensors, 22 (9).

Abrams, M.B. and Bjaalie, J.G. and Das, S. and Egan, G.F. and Ghosh, S.S. and Goscinski, W.J. and Grethe, J.S. and Kotaleski, J.H. and Ho, E.T.W. and Kennedy, D.N. and Lanyon, L.J. and Leergaard, T.B. and Mayberg, H.S. and Milanesi, L. and MouÄ�ek, R. and Poline, J.B. and Roy, P.K. and Strother, S.C. and Tang, T.B. and Tiesinga, P. and Wachtler, T. and WÃ³jcik, D.K. and Martone, M.E. (2021) Correction to: A Standards Organization for Open and FAIR Neuroscience: the International Neuroinformatics Coordinating Facility (Neuroinformatics, (2021), 10.1007/s12021-020-09509-0). Neuroinformatics.

Abd Aziz, A. and Izhar, L.I. and Asirvadam, V.S. and Tang, T.B. and Ajam, A. and Omar, Z. and Muda, S. (2021) Detection of Collaterals from Cone-Beam CT Images in Stroke. Sensors (Basel, Switzerland), 21 (23).

Tang, T.B. and Chong, J.S. and Kiguchi, M. and Funane, T. and Lu, C.-K. (2021) Detection of Emotional Sensitivity Using fNIRS Based Dynamic Functional Connectivity. IEEE Transactions on Neural Systems and Rehabilitation Engineering, 29. pp. 894-904.

Aziz, A.A. and Izhar, L.I. and Asirvadam, V.S. and Tang, T.B. and Ajam, A. and Omar, Z. and Muda, S. (2021) Detection of collaterals from cone-beam CT images in stroke. Sensors, 21 (23).

Al-Quraishi, M.S. and Elamvazuthi, I. and Tang, T.B. and Al-Qurishi, M. and Parasuraman, S. and Borboni, A. (2021) Multimodal Fusion Approach Based on EEG and EMG Signals for Lower Limb Movement Recognition. IEEE Sensors Journal, 21 (24). pp. 27640-27650.

Lim, L.G. and Ung, W.C. and Chan, Y.L. and Lu, C.-K. and Funane, T. and Kiguchi, M. and Tang, T.B. (2021) Optimizing mental workload estimation by detecting baseline state using vector phase analysis approach. IEEE Transactions on Neural Systems and Rehabilitation Engineering, 29. pp. 597-606.

Abrams, M.B. and Bjaalie, J.G. and Das, S. and Egan, G.F. and Ghosh, S.S. and Goscinski, W.J. and Grethe, J.S. and Kotaleski, J.H. and Ho, E.T.W. and Kennedy, D.N. and Lanyon, L.J. and Leergaard, T.B. and Mayberg, H.S. and Milanesi, L. and MouÄ�ek, R. and Poline, J.B. and Roy, P.K. and Strother, S.C. and Tang, T.B. and Tiesinga, P. and Wachtler, T. and WÃ³jcik, D.K. and Martone, M.E. (2021) A Standards Organization for Open and FAIR Neuroscience: the International Neuroinformatics Coordinating Facility. Neuroinformatics.

Ejaz, M.M. and Tang, T.B. and Lu, C.-K. (2021) Vision-Based Autonomous Navigation Approach for a Tracked Robot Using Deep Reinforcement Learning. IEEE Sensors Journal, 21 (2). pp. 2230-2240.

Ejaz, M.M. and Tang, T.B. and Lu, C.-K. (2021) A fast learning approach for autonomous navigation using a deep reinforcement learning method. Electronics Letters.

Rasheed, W. and Tang, T.B. (2020) Anomaly Detection of Moderate Traumatic Brain Injury Using Auto-Regularized Multi-Instance One-Class SVM. IEEE Transactions on Neural Systems and Rehabilitation Engineering, 28 (1). pp. 83-93.

Ung, W.C. and Tang, T.B. and Yap, K.H. and Ebenezer, E.G.M. and Chin, P.S. and Nordin, N. and Chan, S.C. and Yip, H.L. and Lu, C.-K. and Kiguchi, M. (2020) Assessing Neural Compensation with Visuospatial Working Memory Load Using Near-Infrared Imaging. IEEE Transactions on Neural Systems and Rehabilitation Engineering, 28 (1). pp. 13-22.

Chan, Y.L. and Ung, W.C. and Lim, L.G. and Lu, C.-K. and Kiguchi, M. and Tang, T.B. (2020) Automated Thresholding Method for fNIRS-Based Functional Connectivity Analysis: Validation with a Case Study on Alzheimer's Disease. IEEE Transactions on Neural Systems and Rehabilitation Engineering, 28 (8). pp. 1691-1701.

Azlan, N.A.N. and Lu, C.-K. and Elamvazuthi, I. and Tang, T.B. (2020) Automatic detection of masses from mammographic images via artificial intelligence techniques. IEEE Sensors Journal, 20 (21). pp. 13094-13102.

Alsaih, K. and Yusoff, M.Z. and Tang, T.B. and Faye, I. and MÃ©riaudeau, F. (2020) Deep learning architectures analysis for age-related macular degeneration segmentation on optical coherence tomography scans. Computer Methods and Programs in Biomedicine, 195.

Ung, W.C. and Meriaudeau, F. and Kiguchi, M. and Tang, T.B. (2020) Functional near-infrared spectroscopy adaptive cognitive training system (FACTS) for cognitive underload and overload prevention: A feasibility study. IEEE Access, 8. pp. 172939-172950.

Ismail, A. and Chen, H.C. and Faye, I. and Tang, T.B. (2020) Longitudinal effects of common carotid artery stenosis on ocular hemodynamics assessed using laser speckle flowgraphy in a rabbit model. Scientific Reports, 10 (1).

Alsaih, K. and Yusoff, M.Z. and Faye, I. and Tang, T.B. and Meriaudeau, F. (2020) Retinal Fluid Segmentation Using Ensembled 2-Dimensionally and 2.5-Dimensionally Deep Learning Networks. IEEE Access, 8. pp. 152452-152464.

Lim, L.G. and Ung, W.C. and Chan, Y.L. and Lu, C.-K. and Sutoko, S. and Funane, T. and Kiguchi, M. and Tang, T.B. (2020) A unified analytical framework with multiple fNIRS features for mental workload assessment in the prefrontal cortex. IEEE Transactions on Neural Systems and Rehabilitation Engineering, 28 (11). pp. 2367-2376.

Chai, M.T. and Amin, H.U. and Izhar, L.I. and Saad, M.N.M. and Abdul Rahman, M. and Malik, A.S. and Tang, T.B. (2019) Exploring EEG Effective Connectivity Network in Estimating Influence of Color on Emotion and Memory. Frontiers in Neuroinformatics, 13.

Balandong, R.P. and Tang, T.B. and Short, M.A. and Saad, N.M. (2019) Maritime shift workers sleepiness detection system with multi-modality cues. IEEE Access, 7. pp. 98792-98802.

Meriaudeau, F. and Tang, T.B. and Elamvazuthi, I. (2019) Special Section Guest Editorial: Advanced and Intelligent Vision Systems. Journal of Electronic Imaging, 28 (2).

Shah, S.A.A. and Shahzad, A. and Khan, M.A. and Lu, C.-K. and Tang, T.B. (2019) Unsupervised Method for Retinal Vessel Segmentation Based on Gabor Wavelet and Multiscale Line Detector. IEEE Access, 7. pp. 167221-167228.

Ung, W.C. and Funane, T. and Katura, T. and Sato, H. and Tang, T.B. and Hani, A.F.M. and Kiguchi, M. (2018) Effectiveness Evaluation of Real-Time Scalp Signal Separating Algorithm on Near-Infrared Spectroscopy Neurofeedback. IEEE Journal of Biomedical and Health Informatics, 22 (4). pp. 1148-1156.

Rasheed, W. and Bhatti, M.S. and Hisham Bin Hamid, N. and Tang, T.B. and Idris, Z. (2018) Moderate traumatic brain injury identification for MEG data using PU (Positive and Unseen) learning. Asia Pacific Conference on Postgraduate Research in Microelectronics and Electronics, 2017-O. pp. 25-28.

Bhatti, M.S. and Tang, T.B. and Chen, H.C. (2018) Ocular Blood Flow in Rabbits under Deep Anesthesia: A Real-Time Measurement Technique and Its Application in Characterizing Retinal Ischemia. Scientific Reports, 8 (1).

Ismail, A. and Bhatti, M.S. and Faye, I. and Lu, C.K. and Laude, A. and Tang, T.B. (2018) Pulse waveform analysis on temporal changes in ocular blood flow due to caffeine intake: a comparative study between habitual and non-habitual groups. Graefe's Archive for Clinical and Experimental Ophthalmology. pp. 1-11.

Al-shargie, F. and Tang, T.B. and Badruddin, N. and Kiguchi, M. (2018) Towards multilevel mental stress assessment using SVM with ECOC: an EEG approach. Medical and Biological Engineering and Computing, 56 (1). pp. 125-136.

Al-Shargie, F. and Tang, T.B. and Kiguchi, M. (2017) Assessment of mental stress effects on prefrontal cortical activities using canonical correlation analysis: An fNIRS-EEG study. Biomedical Optics Express, 8 (5). pp. 2583-2598.

Shah, S.A.A. and Tang, T.B. and Faye, I. and Laude, A. (2017) Blood vessel segmentation in color fundus images based on regional and Hessian features. Graefe's Archive for Clinical and Experimental Ophthalmology, 255 (8). pp. 1525-1533.

Mian, M.U. and Dennis, J.O. and Khir, M.H.M. and Sutri, N.Y. and Ahmed, A.Y. and Tang, T.B. (2017) CMOS-MEMS resonator parametric variation analysis through equivalent circuit modeling. International Conference on Intelligent and Advanced Systems, ICIAS 2016.

Lim, L.G. and Tang, T.B. (2017) Design of concave capacitance sensor for void fraction measurement in gas-liquid flow. Proceedings of 2016 8th International Conference on Information Technology and Electrical Engineering: Empowering Technology for Better Future, ICITEE 2016.

Essam, M. and Tang, T.B. and Ho, E.T.W. and Chen, H. (2017) Dynamic point stochastic rounding algorithm for limited precision arithmetic in Deep Belief Network training. International IEEE/EMBS Conference on Neural Engineering, NER. pp. 629-632.

Rasheed, W. and Neoh, Y.Y. and Bin Hamid, N.H. and Reza, F. and Idris, Z. and Tang, T.B. (2017) Early visual analysis tool using magnetoencephalography for treatment and recovery of neuronal dysfunction. Computers in Biology and Medicine, 89. pp. 573-583.

Bhatti, M.S. and Tang, T.B. and Laude, A. (2017) Effects of water drinking test on ocular blood flow waveform parameters: A laser speckle flowgraphy study. PLoS ONE, 12 (7).

Bhatti, M.S. and Rasheed, W. and Tang, T.B. and Laude, A. (2017) Investigating eye-strain due to prolonged exposure to low resolution multimedia using LSFG. International Conference on Intelligent and Advanced Systems, ICIAS 2016.

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.

Lim, L.G. and Tang, T.B. and Hamid, N.H. and Pao, W.K.S. (2017) Sinusoid based calibration for holdup measurement in two-phase flow using helical capacitance sensor. International Conference on Intelligent and Advanced Systems, ICIAS 2016.

Al-Shargie, F. and Tang, T.B. and Kiguchi, M. (2017) Stress Assessment Based on Decision Fusion of EEG and fNIRS Signals. IEEE Access, 5. pp. 19889-19896.

Bhatti, M.S. and Rasheed, W. and Tang, T.B. and Laude, A. (2017) Temporal comparison of ocular blood flow in quadrant divisions of optic nerve head before and after water drinking test. International Conference on Intelligent and Advanced Systems, ICIAS 2016.

Rasheed, W. and Tang, T.B. and Hamid, N.H. (2017) Threshold for computing generalized model of default mode network connectivity. International Conference on Intelligent and Advanced Systems, ICIAS 2016.

Yap, K.H. and Ung, W.C. and Ebenezer, E.G.M. and Nordin, N. and Chin, P.S. and Sugathan, S. and Chan, S.C. and Yip, H.L. and Kiguchi, M. and Tang, T.B. (2017) Visualizing hyperactivation in neurodegeneration based on prefrontal oxygenation: A comparative study of mild Alzheimer's disease, mild cognitive impairment, and healthy controls. Frontiers in Aging Neuroscience, 9 (SEP).

Hani, A.F.M. and Feng, Y.-X. and Tang, T.B. (2017) Working memory task performance on prefrontal cortex activation: An optical neuroimaging study. IECBES 2016 - IEEE-EMBS Conference on Biomedical Engineering and Sciences. pp. 240-245.

Ali Shah, S.A. and Laude, A. and Faye, I. and Tang, T.B. (2016) Automated microaneurysm detection in diabetic retinopathy using curvelet transform. Journal of Biomedical Optics, 21 (10).

Lim, L.G. and Pao, W.K.S. and Hamid, N.H. and Tang, T.B. (2016) Design of helical capacitance sensor for holdup measurement in two-phase stratified flow: A sinusoidal function approach. Sensors (Switzerland), 16 (7).

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.

Mian, M.U. and Dennis, J.O. and Khir, M.H.B.M. and Ahmed, M.G.A. and Rabih, A.A.S. and Tang, T.B. (2016) Optical and capacitive characterization of MEMS magnetic resonator. IEICE Electronics Express, 13 (18).

Slaiman, I. and Tang, T.B. and Hamid, N.H. (2015) Pulse Amplitude and Delay Modulation: Design and performance analysis. Optics Communications, 345. pp. 52-56.

Mukhtar, A. and Xia, L. and Tang, T.B. (2015) Vehicle Detection Techniques for Collision Avoidance Systems: A Review. IEEE Transactions on Intelligent Transportation Systems, 16 (5). pp. 2318-2338.

Hani, A.M. and Feng, Y.X. and Tang, T.B. and Kiguchi, M. (2015) The effect of working memory load on prefrontal cortex activation: An optical topography study. ARPN Journal of Engineering and Applied Sciences, 10 (20). pp. 9846-9852.

Zubair, M. and Tang, T.B. (2014) A high resolution capacitive sensing system for the measurement of water content in crude oil. Sensors (Switzerland), 14 (7). pp. 11351-11361.

Sutri, N.Y. and Dennis, J.O. and Khir, M.H.M. and Mian, M.U. and Tang, T.B. (2013) Chopper stabilized, low-power, low-noise, front end interface circuit for capacitive CMOS MEMS sensor applications. Modern Applied Science, 7 (12). pp. 34-42.

Conference or Workshop Item

Lin, Y.-J. and Ding, S.Y. and Lu, C.-K. and Tang, T.B. and Shen, J.-Y. (2023) Emotion Prediction in Music Based on Artificial Intelligence Techniques. In: UNSPECIFIED.

Azlan, N.A.N. and Elamvazuthi, I. and Tang, T.B. and Lu, C.-K. (2021) Breast Cancer Detection by Hybrid Techniques based on Deep Learning Networks. In: UNSPECIFIED.

Aujih, A.B. and Shapiai, M.I. and Meriaudeau, F. and Tang, T.B. (2021) DR-Net with Convolution Neural Network. In: UNSPECIFIED.

Al-Quraishi, M.S. and Elamvazuthi, I. and Tang, T.B. and Al-Qurishi, M. and Parasuraman, S. and Borboni, A. (2021) Detection of Lower Limb Movements using Sensorimotor Rhythms. In: UNSPECIFIED.

Sadiq, A. and Yahya, N. and Tang, T.B. (2021) Diagnosis of Alzheimer's Disease Using Pearson's Correlation and ReliefF Feature Selection Approach. In: UNSPECIFIED.

Al-Quraishi, M.S. and Elamvazuthi, I. and Tang, T.B. and Al-Qurishi, M. and Parasuraman, S. and Borboni, A. (2021) Lower limb Movements' Classifications using Hemodynamic Response:fNIRS Study. In: UNSPECIFIED.

Alsaih, K. and Yusoff, M.Z. and Tang, T.B. and Faye, I. and Meriaudeau, F. (2020) Performance Evaluation of Convolutions and Atrous Convolutions in Deep Networks for Retinal Disease Segmentation on Optical Coherence Tomography Volumes. In: UNSPECIFIED.

Alsaih, K. and Yusoff, M.Z. and Tang, T.B. and Faye, I. and Meriaudeau, F. (2020) Retinal Fluids Segmentation Using Volumetric Deep Neural Networks on Optical Coherence Tomography Scans. In: UNSPECIFIED.

Ejaz, M.M. and Tang, T.B. and Lu, C.-K. (2019) Autonomous Visual Navigation using Deep Reinforcement Learning: An Overview. In: UNSPECIFIED.

Shahzadi, I. and Meriadeau, F. and Tang, T.B. and Quyyum, A. (2019) CNN-LSTM: Cascaded framework for brain tumour classification. In: UNSPECIFIED.

Chong, J.S. and Lu, C.-K. and Tang, T.B. (2019) Study of emotional state effect on decision making by using fNIRS. In: UNSPECIFIED.

Al-Shargie, F. and Tang, T.B. and Kiguchi, M. (2016) Mental stress grading based on fNIRS signals. In: UNSPECIFIED.

Hani, A.F.M. and Feng, Y.X. and Tang, T.B. and Kiguchi, M. (2015) Assessment of brain haemodynamic responses using optical topography modality. In: UNSPECIFIED.

Rasheed, W. and Tang, T.B. and Bin Hamid, N.H. (2015) Default mode functional connectivity estimation and visualization framework for MEG data. In: UNSPECIFIED.

Mian, M.U. and Dennis, J.O. and Md. Khir, M.H. and Riaz, K. and Iqbal, A. and Bazaz, S.A. and Tang, T.B. (2015) MEMS 3-DoF gyroscope design, modeling and simulation through equivalent circuit lumped parameter model. In: UNSPECIFIED.

Tang, T.B. and Yeo, L.W. and Lau, D.J.H. (2014) Activity awareness can improve continuous stress detection in galvanic skin response. In: UNSPECIFIED.

Hyder, R. and Kamel, N. and Tang, T.B. and Bornot, J. (2014) Brain source localization techniques: Evaluation study using simulated EEG data. In: UNSPECIFIED.

Tang, T.B. and Lim, Y.L. and Aslam, M.Z. (2014) Detecting trace amount of water in crude oil with capacitance sensors. In: UNSPECIFIED.

Sutri, N.Y. and Dennis, J.O. and Khir, M.H.Md. and Tang, T.B. and Mian, M.U. (2014) Low-noise, low-offset modulator demodulator circuit for chopper stabilization technique in CMOS-MEMS sensor applications. In: UNSPECIFIED.

Ali, S.S.A. and Tang, T.B. and Laude, A. and Faye, I. (2014) Making every microaneurysm count: A hybrid approach to monitor progression of diabetic retinopathy. In: UNSPECIFIED.

Mian, M.U. and Dennis, J.O. and Khir, M.H.Md. and Tang, T.B. and Sutri, N.Y. (2014) Noise and Bandwidth analysis for PMOS based wide swing cascode current mirror using 0.35 um CMOS-MEMS technology. In: UNSPECIFIED.

Rasheed, W. and Tang, T.B. and Hamid, N.H.B. (2014) Novel framework for small-world network connectivity analysis for MEG data. In: UNSPECIFIED.

Slaiman, I. and Tang, T.B. and Hamid, N.H.B. (2014) Pulse amplitude and delay modulation for indoor optical wireless communications. In: UNSPECIFIED.

Rasheed, W. and Tang, T.B. and Hamid, N.H. and Idris, Z. and Abdullah, J.M. (2013) Automated visualization for epilepsy surgical evaluation. In: UNSPECIFIED.

Book

Idris, Z. and Reza, M.F. and Zakaria, Z. and Ghani, A.R.I. and Ismail, M.I. and Yee, A.S. and Fitzrol, D.N. and Latif, M.H.A. and Tang, T.B. and Abdullah, J.M. (2023) Clinical magnetoencephalography: Eloquent brain area, brainwaves augmentation and MEG-based brain network with coherence and power spectral density changes. Nova Science Publishers, Inc., pp. 97-114. ISBN 9798886977325; 9798886976762

This list was generated on Fri Nov 22 16:30:50 2024 +08.