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testing algorithm » cosine algorithm (توسيع البحث)
method algorithm » mould algorithm (توسيع البحث)
data testing » data using (توسيع البحث)
يعرض 141 - 160 نتائج من 248 نتيجة بحث عن '(((( task scheduling algorithm ) OR ( data testing algorithm ))) OR ( elements method algorithm ))', وقت الاستعلام: 0.11s تنقيح النتائج
  1. 141

    An App for Navigating Patient Transportation and Acute Stroke Care in Northwestern Ontario Using Machine Learning: Retrospective Study حسب Ayman Hassan (14426412)

    منشور في 2024
    "…It was tested using historical data, and the next step will to involve usability testing with end users.…"
  2. 142

    Fast Transient Stability Assessment of Power Systems Using Optimized Temporal Convolutional Networks حسب Mohamed Massaoudi (16888710)

    منشور في 2024
    "…The proposed algorithm is evaluated on the 68-bus system and the Northeastern United States 25k-bus synthetic test system with credible contingencies using the PowerWorld simulator. …"
  3. 143
  4. 144

    Multi-Agent Meta Reinforcement Learning for Reliable and Low-Latency Distributed Inference in Resource-Constrained UAV Swarms حسب Marwan Dhuheir (19170898)

    منشور في 2025
    "…Given the complexity of the LDTP solution for managing online requests, we propose a real-time, lightweight solution using multi-agent meta-reinforcement learning. Our approach is tested on CNN networks and benchmarked against state-of-the-art conventional reinforcement learning algorithms. …"
  5. 145

    Wide area monitoring system operations in modern power grids: A median regression function-based state estimation approach towards cyber attacks حسب Haris M. Khalid (17017743)

    منشور في 2023
    "…The algorithm was stationed at each monitoring node using interacting multiple model (IMM)-based fusion architecture. …"
  6. 146

    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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  7. 147
  8. 148
  9. 149

    Using machine learning for disease detection. (c2013) حسب Jreij, Georges Antoun

    منشور في 2016
    "…Classification has three main components: the classification algorithm, the pre-classified data (training data) and the un-classified data (testing data). …"
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    masterThesis
  10. 150

    Communications in electronic textile systems حسب Nakad, Z.

    منشور في 2017
    "…Abstract- Electronic textiles (e-textiles) are emerging as a novel method for constructing electronic systems in wearable and large area applications. …"
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    conferenceObject
  11. 151

    A geometric-primitives-based compression scheme for testingsystems-on-a-chip حسب El-Maleh, A.

    منشور في 2001
    "…In this paper, it is assumed that an embedded core will be used to execute the decompression algorithm and decompress the test data…"
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    article
  12. 152

    Applications of fast fourier transform in the integrity evaluation of deep foundations حسب Abi Shdid, Caesar

    منشور في 2016
    "…The method is developed and validated using experimental data, and is based on applying the fast Fourier transform mapping algorithm on data obtained from cross-hole sonic logging. …"
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    article
  13. 153

    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
    "…Here, the Quantized Identical Data Imputation (QIDI) mechanism is implemented at first for data preprocessing and normalization. …"
  14. 154

    Modelling Exchange Rates during Currency Crisis using Neural Networks حسب Nasr, G. E.

    منشور في 2006
    "…The models are built using the feedforward ANN structure trained by the backpropagation algorithm. Exchange rate data from the Lebanese currency crisis period of 1985-1992 is used for training, testing and evaluation of the models. …"
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    conferenceObject
  15. 155

    Dataset built for Arabic Sentiment Analysis حسب AL MUKHAITI, AYESHA JUMAA SALEM

    منشور في 2016
    "…Key stages of the framework takes three dimensions. We followed an Algorithm which involves Data Acquisition stage, Filtering Stage and Annotation Stage. …"
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  16. 156

    I Will Survive: An Event-driven Conformance Checking Approach Over Process Streams حسب Raun, Kristo

    منشور في 2023
    "…This paper introduces a new approximate algorithm – I Will Survive (IWS). The algorithm utilizes the trie data structure to improve the calculation speed, while remaining memory-efficient. …"
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  17. 157

    An Evolutionary Meta-Heuristic for State Justification in Sequential Automatic Test Pattern Generation حسب El-Maleh, Aiman H.

    منشور في 2001
    "…In this work, we propose a hybrid approach which uses a combination of evolutionary and deterministic algorithms for state justification. A new method based on Genetic algorithms is proposed, in which we engineer state justification sequences vector by vector. …"
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    article
  18. 158

    An evolutionary meta-heuristic for state justification insequential automatic test pattern generation حسب El-Maleh, A.H.

    منشور في 2001
    "…In this work, we propose a hybrid approach which uses a combination of evolutionary and deterministic algorithms for state justification. A new method based on Genetic Algorithms is proposed, in which we engineer state justification sequences vector by vector. …"
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    article
  19. 159

    An integrated partitioning and synthesis system for dynamically reconfigurable Multi-FPGA architectures حسب Ouaiss, Iyad

    منشور في 2017
    "…The SPARCS system accepts design specifications at the behavior level, in the form of task graphs. The system contains a temporal partitioning tool to temporally divide and schedule the tasks on the reconfigurable architecture, a spatial partitioning tool to map the tasks to individual FPGAs, and a high-level synthesis tool to synthesize efficient register-transfer level designs for each set of tasks destined to be downloaded on each FPGA. …"
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  20. 160