Items where Author is "Lu, C.-K."

Article

Gadipudi, N. and Elamvazuthi, I. and Lu, C.-K. and Paramasivam, S. and Su, S. (2022) Lightweight spatial attentive network for vehicular visual odometry estimation in urban environments. Neural Computing and Applications.

Gadipudi, N. and Elamvazuthi, I. and Lu, C.-K. and Paramasivam, S. and Su, S. (2022) Lightweight spatial attentive network for vehicular visual odometry estimation in urban environments. Neural Computing and Applications.

Gadipudi, N. and Elamvazuthi, I. and Izhar, L.I. and Tiwari, L. and Hebbalaguppe, R. and Lu, C.-K. and Doss, A.S.A. (2022) A review on monocular tracking and mapping: from model-based to data-driven methods. Visual Computer. ISSN 01782789

Chen, C.-H. and Shyu, K.-K. and Lu, C.-K. and Jao, C.-W. and Lee, P.-L. (2021) Classification of prefrontal cortex activity based on functional near-infrared spectroscopy data upon olfactory stimulation. Brain Sciences, 11 (6).

Lin, C.-H. and Liao, W.-M. and Liang, J.-W. and Chen, P.-H. and Ko, C.-E. and Yang, C.-H. and Lu, C.-K. (2021) Denoising Performance Evaluation of Automated Age-Related Macular Degeneration Detection on Optical Coherence Tomography Images. IEEE Sensors Journal, 21 (1). pp. 790-801.

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.

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.

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.

Gadipudi, N. and Elamvazuthi, I. and Lu, C.-K. and Paramasivam, S. and Su, S. (2021) WPO-net: Windowed pose optimization network for monocular visual odometry estimation. Sensors, 21 (23).

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.

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.

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.

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.

Sharon, H. and Elamvazuthi, I. and Lu, C.-K. and Parasuraman, S. and Natarajan, E. (2020) Development of rheumatoid arthritis classification from electronic image sensor using ensemble method. Sensors (Switzerland), 20 (1).

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.

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.

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.

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.

Wang, Y.K. and Kai Wen, K. and Lu, C.-K. and Lin, C.-H. (2023) Retinal Layer and Fluid Segmentation with Transformer Based Architecture. In: UNSPECIFIED.

You, H.-Y. and Wei, H.-T. and Lin, C.-H. and Ji, J.-Y. and Liu, Y.-H. and Lu, C.-K. and Wang, J.-K. and Huang, T.-L. (2021) An AMDOCT-NET for Automated AMD Detection under Evaluations of Different Image Size, Denoising and Cropping. In: UNSPECIFIED.

Gadipudi, N. and Elamvazuthi, I. and Lu, C.-K. and Paramasivam, S. and Jegadeeshwaran, R. (2021) Analysis of Unsupervised Loss Functions for Homography Estimation. 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.

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

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.

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.

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.

Ko, C.-E. and Chen, P.-H. and Liao, W.-M. and Lu, C.-K. and Lin, C.-H. and Liang, J.-W. (2019) Using A Cropping Technique or Not: Impacts on SVM-based AMD Detection on OCT Images. In: UNSPECIFIED.

Ko, C.-E. and Chen, P.-H. and Liao, W.-M. and Lu, C.-K. and Lin, C.-H. and Liang, J.-W. (2019) Using A Cropping Technique or Not: Impacts on SVM-based AMD Detection on OCT Images. In: UNSPECIFIED.