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Showing 61 - 74 results of 74 for search 'algorithm respectively optimizes', query time: 0.05s Refine Results
  1. 61

    EVOLUTIONARY HEURISTICS FOR MULTIOBJECTIVE VLSI NETLIST BI-PARTITIONING by Sait, Sadiq M.

    Published 2020
    “…These heuristics are based on Genetic Algorithms (GAs) and Tabu Search (TS) [sadiq et al., 1999] respectively. …”
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    article
  2. 62

    Scheduling and allocation in high-level synthesis using stochastic techniques by Sait, Sadiq M.

    Published 2020
    “…Scheduling and allocation can be formulated as an optimization problem. In this work, a unique approach to scheduling and allocation problem using the genetic algorithm (GA) is described. …”
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    article
  3. 63

    Defined Clinical Classifications Are Associated with Outcome of Patients with Anatomically Resectable Pancreatic Adenocarcinoma Treated with Neoadjuvant Therapy by Tzeng, Ching-Wei

    Published 2012
    “…It may be used with neoadjuvant therapy to predict outcomes, individualize treatment algorithms, and optimize survival.…”
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    article
  4. 64

    On the complexity of bilinear computations by Takche, Jean Halim

    Published 1984
    “…We will also consider special classes of three bilinear forms, and efficient algorithms will be developed, which are optimal in most cases.…”
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    masterThesis
  5. 65

    Dynamic single node failure recovery in distributed storage systems by Itani, M.

    Published 2017
    “…We present a wide range of results for the various proposed algorithms and considered scenarios to quantify the achievable performance gains.…”
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    article
  6. 66
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  8. 68

    Deep Learning-Based Coding Strategy for Improved Cochlear Implant Speech Perception in Noisy Environments by Billel Essaid (22047578)

    Published 2025
    “…The second strategy builds on this framework by additionally incorporating bidirectional gated recurrent units (Bi-GRU) alongside TCN and MHA layers, further refining sequence modeling and enhancing noise reduction. The optimal model configuration, using TCN-MHA-Bi-GRU with a kernel size of 16, achieved a compact model size of 788K parameters and recorded training, and validation losses of 0.0350 and 0.0446, respectively. …”
  9. 69

    Artificial intelligence-based methods for fusion of electronic health records and imaging data by Farida Mohsen (16994682)

    Published 2022
    “…We present a comprehensive analysis of the various fusion strategies, the diseases and clinical outcomes for which multimodal fusion was used, the ML algorithms used to perform multimodal fusion for each clinical application, and the available multimodal medical datasets. …”
  10. 70

    Application of Metastructures for Targeted Low-Frequency Vibration Suppression in Plates by Ratiba F. Ghachi (14152455)

    Published 2022
    “…<h2>Purpose</h2> <p>We present an approach that combines finite element analysis and genetic algorithms to find the optimal configuration of local resonators created in the host structure to suppress their vibration in a target low-frequency range. …”
  11. 71

    A fine-grained XML structural comparison approach by Tekli, Joe

    Published 2007
    “…A prototype has been developed to evaluate the optimality and performance of our method. Experimental results, on both real and synthetic XML data, demonstrate better performance with respect to alternative XML comparison methods.…”
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    conferenceObject
  12. 72
  13. 73

    Scatter search technique for exam timetabling by Mansour, Nashat

    Published 2011
    “…We evaluate our suggested technique on real-world university data and compare our results with the registrar’s manual timetable in addition to the timetables of other heuristic optimization algorithms. The experimental results show that our adapted scatter search technique generates better timetables than those produced by the registrar, manually, and by other meta-heuristics.…”
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    article
  14. 74

    An XML Document Comparison Framework by Tekli, Joe

    Published 2001
    “…A prototype has been developed to evaluate the optimality and performance of our method. Results demonstrate higher comparison accuracy with respect to alternative XML comparison methods, while timing experiments reflect the significant impact of semantic similarity assessment on overall system performance.…”
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    article