The Leaky Least Mean Fourth Algorithm by Khattak, Obaid ur Rehman

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The Leaky Least Mean Mixed Norm Algorithm by Mohammed, Abdul Nasar

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Convergence behavior of the normalized least mean fourth algorithm by Zerguine, A.

“…The normalized least mean fourth (NLMF) algorithm is presented in this work and shown to have potentially faster convergence. …”
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Quasi-Newton Least Mean Fourth Adaptive Algorithm by Mansoor, Umair

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A FAMILY OF NORMALIZED LEAST MEAN FOURTH ALGORITHMS by Zerguine, Azzedine

“…In this work, a family of normalized least mean fourth algorithms is presented. Unlike the LMF algorithm, the convergence behavior of these algorithms is independent of the input data correlation statistics. …”
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The Signed Regressor Least Mean Fourth (SRLMF) Adaptive Algorithm by Faiz, Mohammed Mujahid Ulla

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Eye-Clustering: An Enhanced Centroids Prediction for K-means Algorithm by Nasser, Youssef

“…This work aims to enhance the performance of the K-means algorithm by introducing a novel method for selecting the initial centroids, thereby minimizing randomness and reducing the number of iterations needed to reach optimal results. …”
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Variable Step-Size Least-Mean Fourth Algorithm of the Quotient Form by Syed, Asad

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Convergence and steady-state analysis of the normalized least mean fourth algorithm by Zerguine, Azzedine

“…The normalized least mean-fourth (NLMF) algorithm is presented in this work and shown to have potentially faster convergence. …”
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An Efficient Tabu Search Algorithm For The Single-Machine Mean Tardiness Problem by Bendaya, M.

“…In this paper, an efficient tabu search algorithm is prepared ibr solving the singlemachine mean tardiness problem. …”
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Convergence and steady-state analysis of the normalized least mean fourth algorithm by Zerguine, Azzedine

“…The normalized least mean-fourth (NLMF) algorithm is presented in this work and shown to have potentially faster convergence. …”

An enhanced k-means clustering algorithm for pattern discovery in healthcare data by Haraty, Ramzi A.

“…This paper studies data mining applications in healthcare. Mainly, we study k-means clustering algorithms on large datasets and present an enhancement to k-means clustering, which requires k or a lesser number of passes to a dataset. …”
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DG-Means – A Superior Greedy Algorithm for Clustering Distributed Data by Assaf, Ali

“…DG-means exhibited superior performance when compared to the other algorithms.…”
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Playout scheduling technique based on normalized least mean square (NLMS) algorithm by Al-Khalifa, Salah Hussain

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Simulated tempering and mean field annealing for mapping to multicomputers. (c1996) by Aghazarian, Gabriel I.

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Adaptive filtering using the least-mean mixed-norms algorithm and its application to echo cancellation. by Al-Naffouri, Tareq Yousef

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FILTERED-X LEAST MEAN FOURTH FXLMF AND LEAKY-FXLMF ADAPTIVE ALGORITHMS: STOCHASTIC ANALYSIS AND SECONDARY PATH MODELING ERROR by unknown

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A Hybrid Deep Learning Model Using CNN and K-Mean Clustering for Energy Efficient Modelling in Mobile EdgeIoT by Dhananjay Bisen (19482454)

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Adaptive step-size sign least mean squares by Aldajani, M.A.

“…Simulation results show that the performance of the proposed algorithm can be made arbitrarily close to that of the original least means squares algorithm.…”
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One-Machine Scheduling To Minimize Mean Tardiness With Minimum Number Tardy by Duffuaa, S. O.

“…In this paper the one-machine scheduling problem with the objective of minimizing the mean tardiness subject to maintaining a prescribed number of tardy jobs is analysed An algorithm for solving this problem is presented. …”
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