يعرض 181 - 200 نتائج من 322 نتيجة بحث عن '(((( present data algorithm ) OR ( relevant data algorithm ))) OR ( element processing algorithm ))', وقت الاستعلام: 0.12s تنقيح النتائج
  1. 181

    Impact Of Multidisciplinary Maternal Resuscitation Training Program on Improving the Front-Line Care Provider’s Readiness to Manage Maternal Cardiac Arrest: A Pre-test/Post-test St... حسب Mohamed Elsayed Saad Aboudonya (18466385)

    منشور في 2024
    "…Hamad International Training Center not only offers formal resuscitation training like Advanced Life Support Obstetrics and Neonatal Resuscitation Program courses but also ensures the frontline care providers’ readiness for managing cardiac arrest events in Hamad Medical Corporation facilities through regular mock drills and monitoring the relevant Key Performance Indicators (KPIs). The study aimed to explore the impact of a multidisciplinary maternal resuscitation training program and the introduction of the maternal resuscitation algorithm pathway (Figure 1) on the relevant seven KPIs.…"
  2. 182

    Information Warfare حسب Haraty, Ramzi A.

    منشور في 2015
    "…The algorithm is based on data dependency and uses a single matrix that will be later used during recovery.…"
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    conferenceObject
  3. 183

    Scatter search for homology modeling حسب Mansour, Nashat

    منشور في 2016
    "…The metaheuristic optimizes the initial poor alignments and uses fitness functions. We assess our algorithm on a number of proteins whose structures are present in the Protein Data Bank and which have been used in previous literature. …"
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  4. 184

    Evacuation of a highly congested urban city حسب El Khoury, John

    منشور في 2017
    "…The algorithm uses Dijkstras algorithm to find the shortest path(s) and a modified greedy algorithm to assign maximum flows to selected paths given a specific schedule per time interval. …"
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  5. 185

    Optimizing ADWIN for Steady Streams حسب Moharram, Hassan

    منشور في 2022
    "…However, online machine learning comes with many challenges for the different aspects of the learning process, starting from the algorithm design to the evaluation method. One of these challenges is the ability of a learning system to adapt to the change in data distribution, known as concept drift, to maintain the accuracy of the predictions. …"
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  6. 186

    Scatter search metaheuristic for homology based protein structure prediction. (c2015) حسب Stamboulian, Mouses Hrag

    منشور في 2015
    "…The metaheuristic is guided using two fitness functions, GA341 and DOPE. 3D models are generated using the software MODELLER. We assess our algorithm on a total of 11 proteins whose structures are present in the Protein Data Bank (PDB) and which has been used in previous literature. …"
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  7. 187
  8. 188

    Information warfare حسب Haraty, Ramzi A.

    منشور في 2017
    "…Numerous damage assessment and recovery algorithms have been proposed by researchersIn this work, we present an efficient lightweight detection and recovery algorithm that is based on the matrix approach and that can be used to recover from malicious attacks. …"
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    article
  9. 189

    Deep Reinforcement Learning for Resource Constrained HLS Scheduling حسب Makhoul, Rim

    منشور في 2022
    "…The two main steps in HLS are: operations scheduling and data-path allocation. In this work, we present a resource constrained scheduling approach that minimizes latency and subject to resource constraints using a deep Q learning algorithm. …"
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  10. 190

    Artificial Intelligence in Predicting Cardiac Arrest: Scoping Review حسب Asma Alamgir (18288895)

    منشور في 2021
    "…Data extracted from the included studies were synthesized narratively.…"
  11. 191

    On sensor selection in mobile devices based on energy, application accuracy, and context metrics حسب Taleb, Sireen

    منشور في 2013
    "…In this paper, we propose a sensor selection procedure which decides what sensors to use according to energy, accuracy, and required context metrics. We present an accuracy-energy based algorithm that reduces energy consumption while conserving the required application accuracy. …"
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  12. 192

    A new estimator and approach for estimating the subpopulation parameters حسب Mohammad Salehi M. (21259490)

    منشور في 2021
    "…<p dir="ltr">Based on some theoretical results, we recommend a new algorithm for estimating the total and mean of a subpopulation variable for the case of a known subpopulation size, which is different from the algorithm recommended by most of sampling books. …"
  13. 193

    Efficient Test Compaction for Combinational Circuits Based on Fault Detection Count-Directed Clustering حسب El-Maleh, Aiman H.

    منشور في 2006
    "…Test compaction is an effective technique for reducing test data volume and test application time. In this paper, we present a new static test compaction algorithm based on test vector decomposition and clustering. …"
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  14. 194
  15. 195

    A conjugate self-organizing migration (CSOM) and reconciliate multi-agent Markov learning (RMML) based cyborg intelligence mechanism for smart city security حسب S. Shitharth (12017480)

    منشور في 2023
    "…Then, the Conjugate Self-Organizing Migration (CSOM) optimization algorithm is deployed to select the most relevant features to train the classifier, which also supports increased detection accuracy. …"
  16. 196

    A Blockchain Model for Secure Communications in Internet of Vehicles حسب Mershad, Khaleel

    منشور في 2021
    "…In this paper, we present a framework for secure IoV communications by utilizing the High Performance Blockchain Consensus (HPBC) algorithm. …"
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  17. 197

    Communications in electronic textile systems حسب Nakad, Z.

    منشور في 2017
    "…A new algorithm based on token grid schemes is presented that takes advantage of the e-textile physical configuration.…"
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  18. 198

    Regression Testing of Database Applications حسب Haraty, Ramzi A.

    منشور في 2002
    "…In phase 2, further reduction in the regression test cases is performed by using reduction algorithms. We present two such algorithms. The Graph Walk algorithm walks through the control flow graph of database modules and selects a safe set of test cases to retest. …"
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  19. 199
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