يعرض 21 - 40 نتائج من 59 نتيجة بحث عن '(((( complement based algorithm ) OR ( element data algorithm ))) OR ( level coding algorithm ))*', وقت الاستعلام: 0.15s تنقيح النتائج
  1. 21

    Correlation Clustering with Overlaps حسب Fakhereldine, Amin

    منشور في 2020
    "…Moreover, we allow the new vertex splitting operation, which allows the resulting clusters to overlap. In other words, data elements (or vertices) will be allowed to be members in more than one cluster instead of limiting them to only one single cluster, as in classical clustering methods. …"
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    masterThesis
  2. 22
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    MAESTRO: Orchestrating Computational Offloading to Multiple FemtoClouds in Various Communication Environments حسب Hend Gedawy (23275984)

    منشور في 2022
    "…<p dir="ltr">Many novel IoT-based applications demand low latency, large compute resources, and high privacy. …"
  4. 24

    A novel technique for fast multiplication حسب Sait, Sadiq M.

    منشور في 2020
    "…The algorithm is modelled in a hardware description language and its VLSI chip implemented. …"
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    article
  5. 25

    A novel technique for fast multiplication حسب Sait, Sadiq M.

    منشور في 1995
    "…In this algorithm the partial products of the multiplicand and three bits of the multiplier are pre-calculated using only hardwired shifts. …"
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    article
  6. 26
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    Recursive Parameter Identification Of A Class Of Nonlinear Systems From Noisy Measurements حسب Emara-Shabaik, Husam

    منشور في 2020
    "…The model structure is made up of two linear dynamic elements separated by a nonlinear static one. The nonlinear element is assumed to be of the polynomial type with known order; The identification is based on input/output data where the output is contaminated with measurement noise. …"
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    article
  8. 28

    A Literature Review on System Dynamics Modeling for Sustainable Management of Water Supply and Demand حسب Khawar Naeem (17984062)

    منشور في 2023
    "…One noticeable finding is that only 12% of the articles used quantitative models to complement SDM for the decision-making process. The models included agent-based modeling (ABM), Bayesian networking (BN), analytical hierarchy approach (AHP), and simulation optimization multi-objective optimization (MOO). …"
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    On the complexity of multi-parameterized cluster editing حسب Abu-Khzam, Faisal

    منشور في 2017
    "…In other words, Cluster Editing can be solved efficiently when the number of false positives/negatives per single data element is expected to be small compared to the minimum cluster size. …"
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    article
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    A Fully Optical Laser Based System for Damage Detection and Localization in Rail Tracks Using Ultrasonic Rayleigh Waves: A Numerical and Experimental Study حسب Masurkar, Faeez

    منشور في 2022
    "…Finally, a 3D Finite Element simulation was conducted to validate the findings and each observation resulting from the experiments. …"
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  13. 33

    Efficient Seismic Volume Compression using the Lifting Scheme حسب Khene, M. F.

    منشور في 2000
    "…Finally a runlength plus a Huffman encoding are applied for binary coding of the quantized coefficients.…"
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    article
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    An Artificial Intelligence Approach for Predictive Maintenance in Electronic Toll Collection System حسب Alkhatib, Osama

    منشور في 2019
    "…Historical data of Dubai Toll Collection System is utilized to investigate multiple machine learning algorithms. …"
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    Downlink channel estimation for IMT-DS حسب Faisal, S.

    منشور في 2001
    "…To obtain channel estimates during pilot symbols, we propose a chip level adaptive channel estimation which performs better than the conventional method. …"
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    article
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    Spectral energy balancing system with massive MIMO based hybrid beam forming for wireless 6G communication using dual deep learning model حسب Ramesh Sundar (19326046)

    منشور في 2024
    "…The performance level improvements are practically summarized in both the transmission and reception entities with the help of the proposed hybrid network architecture and the associated Dual Deep Network algorithm. …"
  20. 40

    Oversampling techniques for imbalanced data in regression حسب Samir Brahim Belhaouari (9427347)

    منشور في 2024
    "…For image datasets, we employ Multi-Level Autoencoders, consisting of Convolutional and Fully Connected Autoencoders. …"