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  1. 1
    Analysis of multiexponential transient signals using interpolation-based deconvolution and parametric modeling techniques

    Analysis of multiexponential transient signals using interpolation-based deconvolution and parametric modeling techniques by Salami, Momoh Jimoh Eyiomika, Ismail, Z.

    Published 2003
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  2. 2
    Fast handover algorithm for hierarchical mobile IPv6 macro-mobility management

    Fast handover algorithm for hierarchical mobile IPv6 macro-mobility management by Vivaldi, Indra, Habaebi, Mohamed Hadi, Mohd Ali, Borhanuddin, V., Prakash

    Published 2003
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  3. 3
    Prediction and multi-criteria-based schemes for seamless handover mechanism in mobile WiMAX networks

    Prediction and multi-criteria-based schemes for seamless handover mechanism in mobile WiMAX networks by Mubarak, Mohammed Awadh Ahmed Ben

    Published 2013
    “…This enables it to meet the MS application requirements based on some criteria such as CINR, BW, and delay. …”
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  4. 4
    Machine learning in botda fibre sensor for distributed temperature measurement

    Machine learning in botda fibre sensor for distributed temperature measurement by Nur Dalilla binti Nordin

    Published 2023
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  5. 5
    Denoising of digital images using second generation wavelet transforms-hidden markov model

    Denoising of digital images using second generation wavelet transforms-hidden markov model by Khmag, Asem Ib Mohamed

    Published 2016
    “…In this issue, a newly developed algorithm based on second-generation wavelet transformation using semi-soft thresholding is introduced. …”
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  6. 6
    Performance comparison of classification algorithms for EEG-based remote epileptic seizure detection in wireless sensor networks

    Performance comparison of classification algorithms for EEG-based remote epileptic seizure detection in wireless sensor networks by Abualsaud, Khalid, Mahmuddin, Massudi, Saleh, Mohammad, Mohamed, Amr

    Published 2014
    “…Identification of epileptic seizure remotely by analyzing the electroencephalography (EEG) signal is very important for scalable sensor-based health systems.Classification is the most important technique for wide-ranging applications to categorize the items according to its features with respect to predefined set of classes.In this paper, we conduct a performance evaluation based on the noiseless and noisy EEG-based epileptic seizure data using various classification algorithms including BayesNet, DecisionTable, IBK, J48/C4.5, and VFI.The reconstructed and noisy EEG data are decomposed with discrete cosine transform into several sub-bands.In addition, some of statistical features are extracted from the wavelet coefficients to represent the whole EEG data inputs into the classifiers.Benchmark on widely used dataset is utilized for automatic epileptic seizure detection including both normal and epileptic EEG datasets.The classification accuracy results confirm that the selected classifiers have greater potentiality to identify the noisy epileptic disorders.…”
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  7. 7
    Moiré Method Based Tilt Sensing System For Landslides Monitoring Using Raspberry PI

    Moiré Method Based Tilt Sensing System For Landslides Monitoring Using Raspberry PI by Toh, Han Yaung

    Published 2019
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  8. 8
    An enhanced mobile internet protocol version 6 (IPv6) with multicast function and hierarchical design.

    An enhanced mobile internet protocol version 6 (IPv6) with multicast function and hierarchical design. by Khatun, Sabira

    Published 2006
    “…Mobile IPv6 mechanism requires some handover algorithm when it changes its point of attachment in the Internet.An enhanced micro mobility handover algorithm is developed on top of mobile IPv6. …”
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  9. 9
    Chaos synchronization and cryptography for secure communications / Fatin Nabila Abd Latiff

    Chaos synchronization and cryptography for secure communications / Fatin Nabila Abd Latiff by Fatin Nabila , Abd Latiff

    Published 2021
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  10. 10
    Bayesian Framework based Brain Source Localization Using High SNR EEG Data

    Bayesian Framework based Brain Source Localization Using High SNR EEG Data by Jatoi, M.A., Kamel, N., Gaho, A.A., Dharejo, F.A.

    Published 2019
    “…The multipurpose application of brain source localization in the domain of biomedical engineering has aggrandized the ways for its further development for various healthcare applications. …”
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  11. 11
    Optimization of coded signals based on wavelet neural network

    Optimization of coded signals based on wavelet neural network by Ahmed, Mustafa Sami

    Published 2015
    “…We performed evaluation using 13-bit, 35-bit and 69-bit Barker codes as signal codes to WNN. When compared with other existing methods, WNN yields better PSR, low Mean Square Error (MSE), less noise, range resolution ability and Doppler shift performance than the previous and some traditional algorithms like auto correlation function (ACF) algorithm.…”
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  12. 12
    Cooperative spectrum sensing based on machine learning in cognitive radio vehicular network / Mohammad Asif Hossain

    Cooperative spectrum sensing based on machine learning in cognitive radio vehicular network / Mohammad Asif Hossain by Mohammad Asif , Hossain

    Published 2022
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  13. 13
    Machine condition monitoring and fault diagnosis using spectral analysis techniques

    Machine condition monitoring and fault diagnosis using spectral analysis techniques by Salami, Momoh Jimoh Eyiomika, Abdul Muthalif, Asan Gani, Pervez, T.

    Published 2001
    “…Both normal and fault signals are analyzed using the singular value decomposition (SVD) algorithm so as to compute the parameters of the auto regressive moving average (ARMA) models. …”
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  14. 14
    POWER QUALITY CLASSIFICATION WITH DE-NOISING SCHEME USING WAVELET TRANSFORM AND RULE- BASED METHOD

    POWER QUALITY CLASSIFICATION WITH DE-NOISING SCHEME USING WAVELET TRANSFORM AND RULE- BASED METHOD by HENG KEOW, CHUAH

    Published 2012
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  15. 15
    Towards a unified image quality assessment technique for cross-content image processing applications

    Towards a unified image quality assessment technique for cross-content image processing applications by Baqar, Mohtashim *

    Published 2024
    “…It can reconstruct images with five distortion types, outperforming SOTA AS algorithms, even under high distortion. The first stage uses an application-specific reconstruction algorithm, while the second stage employs an IQA-based model called the observation-based bilateral filter (OBF) with non-linear weights calculated using a Haar-PSI-based maximum a posteriori (MAP) estimator. …”
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  16. 16
    Additive and multiplicative noise removal based on adaptive wavelet transformation using cycle spinning

    Additive and multiplicative noise removal based on adaptive wavelet transformation using cycle spinning by Khmag, Asem, Ramli, Abdul Rahman, Syed Mohamed, Syed Abdul Rahman Al-Haddad, Hashim, Shaiful Jahari

    Published 2014
    “…Wavelet denoising attempts to remove these types of noise present in the signal while preserving the signal characteristics, regardless of its frequency content. …”
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  17. 17
    A novel algorithm to reduce peak-to-average power ratio of orthogonal frequency division multiplexing signals

    A novel algorithm to reduce peak-to-average power ratio of orthogonal frequency division multiplexing signals by Hashmani, M.A., Abro, F.R., Unar, M.A., Watada, J.

    Published 2018
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  18. 18
    A novel algorithm to reduce peak-to-average power ratio of orthogonal frequency division multiplexing signals

    A novel algorithm to reduce peak-to-average power ratio of orthogonal frequency division multiplexing signals by Hashmani, M.A., Abro, F.R., Unar, M.A., Watada, J.

    Published 2018
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  19. 19
    Design Methodology and Analysis of Hash Function based-on Field Programmable Gate Array for Hash-based Message Authentication Code Application

    Design Methodology and Analysis of Hash Function based-on Field Programmable Gate Array for Hash-based Message Authentication Code Application by SHAMSIAH BINTI, SUHAILI

    Published 2025
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  20. 20
    A comprehensive analysis of surface electromyography for control of lower limb exoskeleton

    A comprehensive analysis of surface electromyography for control of lower limb exoskeleton by Abdelhakim, Deboucha

    Published 2016
    “…Although these signals are to some extent insulated by myelin, with the remarkable advancement in bio-sensors technology and standard recommendations in signal acquiring processing, it becomes affordable to acquire, analyze, interpret and use them to control robotic devices. …”
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