Search Results - "Kumar, Shiu"

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  1. 1

    Brain wave classification using long short-term memory network based OPTICAL predictor by Kumar, Shiu, Sharma, Alok, Tsunoda, Tatsuhiko

    Published in Scientific reports (24-06-2019)
    “…Brain-computer interface (BCI) systems having the ability to classify brain waves with greater accuracy are highly desirable. To this end, a number of…”
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    Journal Article
  2. 2

    An improved discriminative filter bank selection approach for motor imagery EEG signal classification using mutual information by Kumar, Shiu, Sharma, Alok, Tsunoda, Tatsuhiko

    Published in BMC bioinformatics (28-12-2017)
    “…Common spatial pattern (CSP) has been an effective technique for feature extraction in electroencephalography (EEG) based brain computer interfaces (BCIs)…”
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    Journal Article
  3. 3

    A new parameter tuning approach for enhanced motor imagery EEG signal classification by Kumar, Shiu, Sharma, Alok

    “…A brain-computer interface (BCI) system allows direct communication between the brain and the external world. Common spatial pattern (CSP) has been used…”
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    Journal Article
  4. 4

    CSP-TSM: Optimizing the performance of Riemannian tangent space mapping using common spatial pattern for MI-BCI by Kumar, Shiu, Mamun, Kabir, Sharma, Alok

    Published in Computers in biology and medicine (01-12-2017)
    “…Classification of electroencephalography (EEG) signals for motor imagery based brain computer interface (MI-BCI) is an exigent task and common spatial pattern…”
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    Journal Article
  5. 5

    Forecasting the spread of COVID-19 using LSTM network by Kumar, Shiu, Sharma, Ronesh, Tsunoda, Tatsuhiko, Kumarevel, Thirumananseri, Sharma, Alok

    Published in BMC bioinformatics (10-06-2021)
    “…The novel coronavirus (COVID-19) is caused by severe acute respiratory syndrome coronavirus 2, and within a few months, it has become a global pandemic. This…”
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    Journal Article
  6. 6

    SPECTRA: a tool for enhanced brain wave signal recognition by Kumar, Shiu, Tsunoda, Tatsuhiko, Sharma, Alok

    Published in BMC bioinformatics (02-06-2021)
    “…Abstract Background Brain wave signal recognition has gained increased attention in neuro-rehabilitation applications. This has driven the development of…”
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    Journal Article
  7. 7

    Predicting MoRFs in protein sequences using HMM profiles by Sharma, Ronesh, Kumar, Shiu, Tsunoda, Tatsuhiko, Patil, Ashwini, Sharma, Alok

    Published in BMC bioinformatics (22-12-2016)
    “…Intrinsically Disordered Proteins (IDPs) lack an ordered three-dimensional structure and are enriched in various biological processes. The Molecular…”
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    Journal Article
  8. 8

    OPTICAL+: a frequency-based deep learning scheme for recognizing brain wave signals by Kumar, Shiu, Sharma, Ronesh, Sharma, Alok

    Published in PeerJ. Computer science (04-02-2021)
    “…A human-computer interaction (HCI) system can be used to detect different categories of the brain wave signals that can be beneficial for neurorehabilitation,…”
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    Journal Article
  9. 9
  10. 10

    Single-stranded and double-stranded DNA-binding protein prediction using HMM profiles by Sharma, Ronesh, Kumar, Shiu, Tsunoda, Tatsuhiko, Kumarevel, Thirumananseri, Sharma, Alok

    Published in Analytical biochemistry (01-01-2021)
    “…DNA-binding proteins perform important roles in cellular processes and are involved in many biological activities. These proteins include crucial protein-DNA…”
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    Journal Article
  11. 11

    SleepBoost: a multi-level tree-based ensemble model for automatic sleep stage classification by Zaman, Akib, Kumar, Shiu, Shatabda, Swakkhar, Dehzangi, Iman, Sharma, Alok

    “…Neurodegenerative diseases often exhibit a strong link with sleep disruption, highlighting the importance of effective sleep stage monitoring. In this light,…”
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    Journal Article
  12. 12

    CluSem: Accurate clustering-based ensemble method to predict motor imagery tasks from multi-channel EEG data by Miah, Md. Ochiuddin, Muhammod, Rafsanjani, Mamun, Khondaker Abdullah Al, Farid, Dewan Md, Kumar, Shiu, Sharma, Alok, Dehzangi, Abdollah

    Published in Journal of neuroscience methods (01-12-2021)
    “…The classification of motor imagery electroencephalogram (MI-EEG) is a pivotal task in the biosignal classification process in the brain-computer interface…”
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    Journal Article
  13. 13
  14. 14

    Android based smart home system with control via Bluetooth and internet connectivity by Kumar, Shiu, Seong Ro Lee

    “…Automation plays an important role in today's human life and people's life is gradually changing with smart living due to modern technology development and…”
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    Conference Proceeding
  15. 15

    A Deep Learning Approach for Motor Imagery EEG Signal Classification by Kumar, Shiu, Sharma, Alok, Mamun, Kabir, Tsunoda, Tatsuhiko

    “…Over the last few decades, the use of electroencephalography (EEG) signals for motor imagery based brain-computer interface (MI-BCI) has gained widespread…”
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    Conference Proceeding
  16. 16

    Ubiquitous Smart Home System Using Android Application by Kumar, Shiu

    Published 10-02-2014
    “…International Journal of Computer Networks & Communications, vol. 6(1), pp. 33-43, 2014 This paper presents a flexible standalone, low-cost smart home system,…”
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    Journal Article
  17. 17

    Decimation filter with Common Spatial Pattern and Fishers Discriminant Analysis for motor imagery classification by Kumar, Shiu, Sharma, Ronesh, Sharma, Alok, Tsunoda, Tatsuhiko

    “…Brain Computer Interface (BCI) system converts thoughts into commands for driving external device with Electroencephalography (EEG). This paper presents the…”
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    Conference Proceeding
  18. 18

    Machine Learning-based Feature Extraction Method for Sleep Stage Classification by Tagimae, Henry, Kumar, Shiu, Groza, Voicu, Rakaria, Joeli, Assaf, Mansour H., Kumar, Rahul R, Petriu, Emil M.

    “…Sleep stage classification is important in diagnosing and treating sleep disorders, but current methods have limitations. An automatic feature extraction…”
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    Conference Proceeding
  19. 19

    Epileptic Seizure Detection Using Convolution Neural Networks by Sukaria, William, Malasa, James, Kumar, Shiu, Kumar, Rahul, Assaf, Mansour H., Groza, Voicu, Petriu, Emil M., Das, Sunil R.

    “…Epilepsy is a central nervous system disorder that affects a substantial number of world's population and disrupts the quality of life of the sufferers. A…”
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    Conference Proceeding
  20. 20

    Localization for Wireless Sensor Networks: A Neural Network Approach by Kumar, Shiu, Sharma, Ronesh, Vans, Edwin

    Published 07-02-2016
    “…International Journal of Computer Networks & Communications (IJCNC), vol. 8, pp. 61-71, January 2016 As Wireless Sensor Networks are penetrating into the…”
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    Journal Article