Search Results - "S Asirvadam, Vijanth"

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  1. 1

    In-Depth Review of Advanced Control Strategies and Cutting-Edge Trends in Robot Manipulators: Analyzing the Latest Developments and Techniques by Abdelmaksoud, Sherif I., Al-Mola, Mohammed H., Abro, Ghulam E Mustafa, Asirvadam, Vijanth Sagayan

    Published in IEEE access (01-01-2024)
    “…It is undeniable that the development of robot manipulators has gained significant attention due to its numerous applications in various sectors. In order to…”
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    Journal Article
  2. 2

    Correlation analysis of air pollutant index levels and dengue cases across five different zones in Selangor, Malaysia by Thiruchelvam, Loshini, Dass, Sarat C, Zaki, Rafdzah, Yahya, Abqariyah, Asirvadam, Vijanth S

    Published in Geospatial health (07-05-2018)
    “…This study investigated the potential relationship between dengue cases and air quality - as measured by the Air Pollution Index (API) for five zones in the…”
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    Journal Article
  3. 3

    Maximum Likelihood Inference for Univariate Delay Differential Equation Models with Multiple Delays by Asirvadam, Vijanth S., Muthuvalu, Mohana S., Dass, Sarat C., Mahmoud, Ahmed A.

    Published in Complexity (New York, N.Y.) (01-01-2017)
    “…This article presents statistical inference methodology based on maximum likelihoods for delay differential equation models in the univariate setting. Maximum…”
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    Journal Article
  4. 4

    Condition monitoring of induction motors via instantaneous power analysis by Irfan, Muhammad, Saad, Nordin, Ibrahim, Rosdiazli, Asirvadam, Vijanth S.

    Published in Journal of intelligent manufacturing (01-08-2017)
    “…Condition monitoring is an important factor in assuring the well-being of motors. Existing approaches of condition monitoring require access to the motor for…”
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    Journal Article
  5. 5

    An augmented sequential MCMC procedure for particle based learning in dynamical systems by Javvad ur Rehman, Muhammad, Dass, Sarat C, Asirvadam, Vijanth S

    Published in Signal processing (01-07-2019)
    “…•Bayesian parameter learning for non-linear and non-Gaussian dynamical systems.•Impulsive noise, chaotic and numerically discretized systems are…”
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    Journal Article
  6. 6

    Online detection and removal of eye blink artifacts from electroencephalogram by Egambaram, Ashvaany, Badruddin, Nasreen, Asirvadam, Vijanth S, Begum, Tahamina, Fauvet, Eric, Stolz, Christophe

    Published in Biomedical signal processing and control (01-08-2021)
    “…•More than 97% removal accuracy and an average of 10–13 ms removal speed.•Impressive reconstruction with CC value of artifact-free segments approaches…”
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    Journal Article
  7. 7

    Analysis of distributed faults in inner and outer race of bearing via Park vector analysis method by Irfan, Muhammad, Saad, Nordin, Ibrahim, Rosdiazli, Asirvadam, Vijanth S., Alwadie, A.

    Published in Neural computing & applications (01-01-2019)
    “…The Park’s transformation technique for diagnosing and statistically analyzing a variety of bearing faults is introduced in this paper. The currently used…”
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    Journal Article
  8. 8

    Real-Time and Proactive SLA Renegotiation for a Cloud-Based System by Paputungan, Irving Vitra, Hani, Ahmad Fadzil Mohamad, Hassan, Mohd Fadzil, Asirvadam, Vijanth S.

    Published in IEEE systems journal (01-03-2019)
    “…Cloud-based systems involve the management and control on the level of delivered service, which is crucial in order to maintain service continuity and…”
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    Journal Article
  9. 9

    An Intelligent Fault Diagnosis of Induction Motors in an Arbitrary Noisy Environment by Irfan, Muhammad, Saad, Nordin, Ibrahim, Rosdiazli, Asirvadam, Vijanth S., Magzoub, Muawia

    Published in Journal of nondestructive evaluation (01-03-2016)
    “…In this paper, an intelligent fault diagnosis system based on instantaneous power spectrum analysis is proposed. The instantaneous noise variations and sensor…”
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    Journal Article
  10. 10

    A Non-Invasive Method for Condition Monitoring of Induction Motors Operating Under Arbitrary Loading Conditions by Irfan, Muhammad, Saad, Nordin, Ibrahim, Rosdiazli, Asirvadam, Vijanth S., Magzoub, Muawia, Hung, N. T.

    “…The literature review presents the various kinds of existing condition monitoring methods and highlights the need for an economical, intelligent fault…”
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    Journal Article
  11. 11

    Analysis of Bearing Surface Roughness Defects in Induction Motors by Irfan, Muhammad, Saad, Nordin, Ibrahim, Rosdiazli, Asirvadam, Vijanth S, Hung, N T, Magzoub, Muawia A

    Published in Journal of failure analysis and prevention (01-10-2015)
    “…In this paper, a Park's transformation method for the analysis of various bearing surface roughness defects is presented. The existing instantaneous power…”
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    Journal Article
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    Control Valve Life Cycle Prediction and Effect of Valve Stiction in Reliability Analysis by Mathur, Nirbhay, Asirvadam, Vijanth S., Aziz, Azrina Abd, Ibrahim, Rosdiazli

    “…In moving with the modern era of Industry 4.0, it is required to understand the computation process to perform better. The process plant industry consists of…”
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    Conference Proceeding
  15. 15

    Unsupervised Eye Blink Artifact Identification in Electroencephalogram by Egambaram, Ashvaany, Badruddin, Nasreen, Asirvadam, Vijanth S, Fauvet, Eric, Stolz, Christophe, Begum, Tahamina

    “…The most prominent type of artifact contaminating electroencephalogram (EEG) signals is the eye blink (EB) artifact. Hence, EB artifact detection is one of the…”
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    Conference Proceeding
  16. 16

    Automated and Online Eye Blink Artifact Removal from Electroencephalogram by Egambaram, Ashvaany, Badruddin, Nasreen, Asirvadam, Vijanth S, Fauvet, Eric, Stolz, Christophe, Begum, Tahamina

    “…Eyeblink artifacts often contaminates electroencephalogram (EEG) signals, which could potentially confound EEG's interpretation. A lot offline methods are…”
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    Conference Proceeding
  17. 17

    Solving Surveillance Coverage Demand Based on Dynamic Programming by Altahir, Altahir A., Asirvadam, Vijanth S., Sebastian, Patrick, Hamid, Nor Hisham

    “…Typical visual sensor planning approaches install visual sensors arrays to increase the amount of coverage and/or decrease the installation cost. These…”
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    Conference Proceeding
  18. 18

    Reliability analysis of Pneumatic Control Valve in Process Plant Using Simulated Failure Data by Mathur, Nirbhay, Asirvadam, Vijanth S., Aziz, Azrina Abd, bin Ibrahim, Rosdiazli

    “…Performance monitoring is an important part of process plants. As it is very well known that process plants consist of many control loops to operate. Although,…”
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    Conference Proceeding
  19. 19

    A Bayesian parameter learning procedure for nonlinear dynamical systems via the ensemble Kalman filter by ur Rehman, Muhammad Javvad, Dass, Sarat C, Asirvadam, Vijanth S

    “…Dynamical systems are a natural and convenient way to model the evolution of processes observed in practice. When uncertainty is considered and incorporated,…”
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    Conference Proceeding
  20. 20

    FastEMD–CCA algorithm for unsupervised and fast removal of eyeblink artifacts from electroencephalogram by Egambaram, Ashvaany, Badruddin, Nasreen, Asirvadam, Vijanth S., Begum, Tahamina, Fauvet, Eric, Stolz, Christophe

    Published in Biomedical signal processing and control (01-03-2020)
    “…•The algorithm yields very high SNR, denoting higher ratio of neural information preservation.•The effectiveness of the evaluated algorithm in preserving the…”
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    Journal Article