Palaniswami, Marimuthu - University of Melbourne - Department of Biomedical Engineering

研究领域

Biomedical Instrumentation, Signal and Image Processing (Time Frequency Analysis, Machine Learning, Active Shape Models) Biomedical signal processing Cardiovascular signal processing and modelling, Human gait analysis, Medical Instrumentation (Machine learning, Biomedical Electronics) Control and Optimization of Communication Networks (Internet Traffic Control, Congestion Control, Quality of Service) Event Detection (Pattern Recognition, Machine Learning) Image Processing Machine learning (support vector machines) Signal Processing Signal and Image Processing, Computer Vision (Video Analysis, Surveillance) Sliding Mode Control (Nonlinear Systems) Smart City Research (Internet of Things) Smart City Research (Wireless Sensor Networks, Internet of Things) Smart City, Cyber-Physical System (Wireless Sensor Networks, Internet of Things) Smart grid (Security) Wireless Sensor Neteworks (Computer Network Monitoring, Environmental Monitoring) Wireless sensor networks (Communications) Wireless sensor networks (Security)

近期论文

查看导师新发文章（温馨提示：请注意重名现象，建议点开原文通过作者单位确认）

Rao AS, Gubbi J, Gubbi Lakshminarasimha J, Palaniswami M, Wong E. A vision-based system to detect potholes and uneven surfaces for assisting blind people. 2016 IEEE International Conference on Communications, ICC 2016. 2016. Sridhara Rao A, Gubbi Lakshminarasimha J, Palaniswami M. An improved approach to crowd event detection by reducing data dimensions. 2nd International Symposium on Signal Processing and Intelligent Recognition Systems (SIRS). Springer. 2016, Vol. 425. Lyu L, Law YW, Monazam Erfani S, Leckie C, Palaniswami M. An improved scheme for privacy-preserving collaborative anomaly detection. 2016 IEEE International Conference on Pervasive Computing and Communication Workshops, PerCom Workshops 2016. 2016. Khandoker A, Marzbanrad F, Voss A, Schulz S, Kimura Y, Endo M, Palaniswami M. Analysis of maternal–fetal heart rate coupling directions with partial directed coherence. Biomedical Signal Processing and Control. Elsevier Science. 2016, Vol. 30. Sridhara Rao A, Gubbi Lakshminarasimha J, Palaniswami M. Anomalous crowd event analysis using isometric mapping. 2nd International Symposium on Signal Processing and Intelligent Recognition Systems (SIRS). Springer. 2016, Vol. 425. Gubbi J, Gubbi Lakshminarasimha J, Kusmakar S, Sridhara Rao A, Yan B, O'Brien T, Palaniswami M. Automatic Detection and Classification of Convulsive Psychogenic Nonepileptic Seizures Using a Wearable Device. IEEE JOURNAL OF BIOMEDICAL AND HEALTH INFORMATICS. IEEE - Institute of Electrical and Electronic Engineers. 2016, Vol. 20, Issue 4. Li P, Karmakar C, Yan C, Palaniswami M, Liu C. Classification of 5-S Epileptic EEG Recordings Using Distribution Entropy and Sample Entropy. FRONTIERS IN PHYSIOLOGY. Frontiers Research Foundation. 2016, Vol. 7. Rao AS, Sridhara Rao A, Gubbi Lakshminarasimha J, Marusic S, Palaniswami M. Crowd Event Detection on Optical Flow Manifolds. IEEE TRANSACTIONS ON CYBERNETICS. Institute of Electrical and Electronics Engineers. 2016, Vol. 46, Issue 7. Imam M, Imam MH, Karmakar C, Karmakar CK, Jelinek HF, Palaniswami M, Khandoker A, Khandoker AH. Detecting Subclinical Diabetic Cardiac Autonomic Neuropathy by Analyzing Ventricular Repolarization Dynamics. IEEE JOURNAL OF BIOMEDICAL AND HEALTH INFORMATICS. IEEE - Institute of Electrical and Electronic Engineers. 2016, Vol. 20, Issue 1. Hsu F, Gubbi Lakshminarasimha J, Palaniswami M. Learning Efficiently-The Deep CNNs-Tree Network. 2015 International Conference on Digital Image Computing: Techniques and Applications, DICTA 2015. 2016.