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  1. 1
    Reduced rank technique for joint channel estimation and joint data detection in TD-SCDMA systems

    Reduced rank technique for joint channel estimation and joint data detection in TD-SCDMA systems by Marzook, Ali Kamil, Ismail, Alyani, Mohd Ali, Borhanuddin, Sali, Aduwati, Khalaf, Mohannad H., Khatun, Sabira

    Published 2013
    “…Equations for reduced rank-joint channel estimation (JCE) are derived and compared against traditional full rank-joint channel estimators: least square (LS) or Steiner, enhanced LS, and minimum mean square error algorithms. …”
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  2. 2
    Reduced-rank technique for joint channel estimation in TD-SCDMA systems.

    Reduced-rank technique for joint channel estimation in TD-SCDMA systems. by Ismail, Alyani, Sali, Aduwati, Mohd Ali, Borhanuddin, Khatun, Sabira

    Published 2013
    “…Equations for reduced rank-joint channel estimation (JCE) are derived and compared against traditional full rank-joint channel estimators: least square (LS) or Steiner, enhanced LS, and minimum mean square error algorithms. …”
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  3. 3
    Non pilot and pilot aided least square channel estimation algorithm in MIMO-OFDM system / Nursarah Ainaa Abdul Halim

    Non pilot and pilot aided least square channel estimation algorithm in MIMO-OFDM system / Nursarah Ainaa Abdul Halim by Abdul Halim, Nursarah Ainaa

    Published 2013
    “…This project is about analyze and implement channel estimation techniques for MIMO-OFDM Systems with Least Squares (LS) Algorithm channel estimation by comparing non pilot and pilot aided result and the result is supposed the Pilot aided will have a better performance.…”
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  4. 4
    Reduced Rank Technique for Joint Channel Estimation and Joint Data Detection in TD-SCDMA Systems

    Reduced Rank Technique for Joint Channel Estimation and Joint Data Detection in TD-SCDMA Systems by Sabira, Khatun, Ali K., Marzook, Alyani, Ismail, Aduwati, Sali, Mohannad Hamed, Khalaf, Borhan, M. Ali

    Published 2012
    “…Equations for reduced rank-joint channel estimation (JCE) are derived and compared against traditional full rank-joint channel estimators: least square (LS) or Steiner, enhanced LS, and minimum mean square error algorithms. …”
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  5. 5
    Dynamic Robust Bootstrap Algorithm for Linear Model Selection Using Least Trimmed Squares

    Dynamic Robust Bootstrap Algorithm for Linear Model Selection Using Least Trimmed Squares by Uraibi, Hassan Sami

    Published 2009
    “…The Ordinary Least Squares (OLS) method is often used to estimate the parameters of a linear model. …”
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  6. 6
    Position estimation comparison of a 3-D linear lateration algorithm with a reference selection technique

    Position estimation comparison of a 3-D linear lateration algorithm with a reference selection technique by Yaro, A.S., Sha�Ameri, A.Z., Kamel, N.

    Published 2018
    “…Multilateration system estimates emitter position using time difference of arrival (TDOA) measurement with a lateration algorithm. …”
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  7. 7
    Ground receiving station reference pair selection technique for a minimum configuration 3D emitter position estimation multilateration system

    Ground receiving station reference pair selection technique for a minimum configuration 3D emitter position estimation multilateration system by Yaro, A.S., Sha’Ameri, A.Z., Kamel, N.

    Published 2017
    “…Multilateration estimates aircraft position using the Time Difference Of Arrival (TDOA) with a lateration algorithm. …”
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  8. 8
    ADAPTIVE LINEAR ALGORITHMS FOR POWER SYSTEM FUNDAMENTAL AND HARMONIC ESTIMATION

    ADAPTIVE LINEAR ALGORITHMS FOR POWER SYSTEM FUNDAMENTAL AND HARMONIC ESTIMATION by MUBARAK MOHMMED, HUSSAM ALHAJ

    Published 2015
    “…On the other hand, Least Mean Square (LMS) algorithm is known for its ease of structure, computation and simplicity. …”
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  9. 9
    Optimal neural network approach for estimating state of energy of lithium-ion battery using heuristic optimization techniques

    Optimal neural network approach for estimating state of energy of lithium-ion battery using heuristic optimization techniques by Lipu M.S.H., Hussain A., Saad M.H.M., Hannan M.A.

    Published 2023
    Conference Paper
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  10. 10
    Performance of MIMO space-time coded system and training based channel estimation for MIMO-OFDM system

    Performance of MIMO space-time coded system and training based channel estimation for MIMO-OFDM system by Abdolee, Reza

    Published 2006
    “…Then the comparison analysis in terms of performance efficiency and computational complexity has been made for two different channel estimations algorithm namely LS (Least Square) and QR decomposition. …”
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  11. 11
    Investigation of QAM based on mean square error (MSE) channel estimation (CE) for MIMO-OFDM pilot based system / Mohd Ariff Ibrahim

    Investigation of QAM based on mean square error (MSE) channel estimation (CE) for MIMO-OFDM pilot based system / Mohd Ariff Ibrahim by Ibrahim, Mohd Ariff

    Published 2013
    “…Channel Estimation (CE) is functioning as a medium to reduce the diversity and error in MIMO-OFDM system which containing few other techniques which are Least Square Error (LSE), Mean Square Error (MSE) and Discrete Fourier Transform (DFT). …”
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  12. 12
    An efficient algorithm for improving precision of multi-cell channel estimation systems

    An efficient algorithm for improving precision of multi-cell channel estimation systems by Marzook, Ali Kamil, A., Ismail, Mohd Ali, Borhanuddin, Sali, Aduwati, Khatun, Sabira

    Published 2012
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  13. 13
    Software effort estimation using machine learning technique

    Software effort estimation using machine learning technique by Rahman, Mizanur, Roy, Partha Protim, Ali, Mohammad, Gonçalves, Teresa, Sarwar, Hasan

    Published 2023
    “…Researchers have been paying close attention to software estimation during the past few decades, and a great amount of work has been done utilizing a variety of machinelearning techniques and algorithms. …”
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  14. 14
    Sampling weight adjustments in partial least squares structural equation modeling: guidelines and illustrations

    Sampling weight adjustments in partial least squares structural equation modeling: guidelines and illustrations by Cheah, Jun Hwa, Roldan, Jose L., Ciavolino, Enrico, Ting, Hiram, Ramayah, T.

    Published 2020
    “…The findings show that researchers should routinely consider the procedure of the WPLS algorithm when using the PLS technique for assessment. …”
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  15. 15
    Development of real-time pose estimation algorithm for Quranic Arabic word

    Development of real-time pose estimation algorithm for Quranic Arabic word by Mohd Esa, Luqman Naim, Morshidi, Malik Arman, Mohd Zailani, Syarah Munirah

    Published 2017
    “…The algorithms are combined with each other to provide four different techniques to estimate the pose of Quranic Arabic words. …”
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  16. 16
    Development of pose estimation algorithm for Quranic Arabic word

    Development of pose estimation algorithm for Quranic Arabic word by Mohd Esa, Luqman Naim, Morshidi, Malik Arman, Mohd Zailani, Syarah Munirah

    Published 2018
    “…The algorithms are combined with each other to provide four different techniques to estimate the pose of Quranic Arabic words. …”
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  17. 17
    COMPARATIVE ANALYSIS OF OPTICAL FLOW MEASUREMENT TECHNIQUE

    COMPARATIVE ANALYSIS OF OPTICAL FLOW MEASUREMENT TECHNIQUE by NIZAM AKBAR, AMAR NAZMI ZULKARNAIN

    Published 2017
    “…The four algorithms were used to estimate the flow rate where five simulations with five different flow rates were measured in order to determine the accuracy of each algorithm. …”
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    Final Year Project
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  18. 18
    SNR estimation using extended kalman filter technique for orthogonal frequency division multiplexing (OFDM) system

    SNR estimation using extended kalman filter technique for orthogonal frequency division multiplexing (OFDM) system by Ong, Sylvia Ai Ling

    Published 2012
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  19. 19
    RSA Encryption & Decryption using JAVA

    RSA Encryption & Decryption using JAVA by Ramli, Marliyana

    Published 2006
    “…References and theories to support the research of 'RSA Encryption/Decryption using Java' have been disclosed in Literature Review section. …”
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  20. 20
    Automatic database of robust neural network forecasting / Saadi Ahmad Kamaruddin, Nor Azura Md. Ghani and Norazan Mohamed Ramli

    Automatic database of robust neural network forecasting / Saadi Ahmad Kamaruddin, Nor Azura Md. Ghani and Norazan Mohamed Ramli by Ahmad Kamaruddin, Saadi, Md. Ghani, Nor Azura, Mohamed Ramli, Norazan

    Published 2014
    “…Neural network is an efficient tool for forecasting financial time series as well as many other areas and has shown a great success, outperforming other forecasting techniques. The backpropagation algorithm is one of the most famous algorithms to train neural network based on the mean square error (MSE) of ordinary least squares (OLS). …”
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