Showing 241 - 248 results of 248 for search 'algorithm effective (((optimizeddds OR optimised) OR (optimizeddds OR optimizeddds)) OR optimize)', query time: 0.08s Refine Results
  1. 241

    Iterative heuristics for multiobjective VLSI standard cellplacement by Sait, Sadiq M.

    Published 2001
    “…We employ two iterative heuristics for the optimization of VLSI standard cell placement. These heuristics are based on genetic algorithms (GA) and tabu search (TS) respectively. …”
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  2. 242

    SemIndex: Semantic-Aware Inverted Index by Chbeir, Richard

    Published 2017
    “…Preliminary results have demonstrated the effectiveness, scalability and optimality of our approach.…”
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  3. 243

    Ultra-small cell networks with collaborative RF and lightwave power transfer by Tran, HA-Vu

    Published 2019
    “…Both problems are optimally solved by appropriate algorithms. Moreover, we propose a closed-form suboptimal solution with high accuracy to tackle the optical transmitters’ resource allocation problem, as well as an efficient semi-decentralized method. …”
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  4. 244

    Dynamic multiple node failure recovery in distributed storage systems by Itani, May

    Published 2018
    “…We present a range of results for our proposed algorithms in several scenarios to assess the effectiveness of the solution approaches that are shown to generate results close to optimal.…”
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  5. 245

    Use data Mining Techniques to Predict Users’ Engagement on the Social Network Posts in The Period Before, During and After Ramadan by AL RAWASHDEH, HANEEN MOHAMMAD

    Published 2017
    “…Companies have adopted social media as an essential tool for realizing potential customer needs and to ensure optimal customer satisfaction. Analyzing the content, type and the best time of posting can effectively impact and benefit a business. …”
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    Artificial Intelligence and Machine Learning Applications in Sudden Cardiac Arrest Prediction and Management: A Comprehensive Review by Sarah Aqel (17787809)

    Published 2023
    “…However, with the rise in the adoption of AI and ML tools in clinical electrophysiology in recent times, there is optimism about addressing these challenges more effectively.…”