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algorithms » algorithm (توسيع البحث)
يعرض 181 - 200 نتائج من 203 نتيجة بحث عن 'differences processing algorithms', وقت الاستعلام: 0.06s تنقيح النتائج
  1. 181

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

    منشور في 2020
    "…In this work, a unique approach to scheduling and allocation problem using the genetic algorithm (GA) is described. This approach is different from a previous attempt using GA (Wehn et al., IFIP Working Conference on Logic and Architecture Synthesis, Paris, 1990, pp. 47–56) in many respects. …"
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    article
  2. 182

    Positive Unlabelled Learning to Recognize Dishes as Named Entity حسب TAREK, AIMAN

    منشور في 2019
    "…This research has the potential to be extended to other topics other than food and dish names, also it acts as a framework and algorithm independent.…"
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  3. 183

    An Intelligent and Low-Cost Eye-Tracking System for Motorized Wheelchair Control حسب Mahmoud Dahmani (18810247)

    منشور في 2020
    "…The first three techniques were automatic, employ correlation, and were variants of template matching, whereas the last one uses convolutional neural networks (CNNs). Different metrics to quantitatively evaluate the performance of each algorithm in terms of accuracy and latency were computed and overall comparison is presented. …"
  4. 184

    Optimized FPGA Implementation of PWAM-Based Control of Three—Phase Nine—Level Quasi Impedance Source Inverter حسب Syed Rahman (569240)

    منشور في 2019
    "…Critical implementation processes consisting of DAC - ADC interfacing, FPGA code per unitization, PI Controller realization and different clock pulse utilization are presented. …"
  5. 185

    A feature‐based approach for guiding the selection of Internet of Things cybersecurity standards using text mining حسب Koen Schaaf (14778139)

    منشور في 2021
    "…Third, a text mining algorithm has been implemented. Fourth, the systematic approach has been modeled using business process modeling notation. …"
  6. 186

    Inferential sensing techniques in industrial applications حسب Shakil,, Muhammad

    منشور في 0007
    "…A modular approach is used to develope the inferential sensor model. Different types of dynamical neural networks are combined according to system operation and emission behavior. …"
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    masterThesis
  7. 187

    Exploring the System Dynamics of Covid-19 in Emergency Medical Services حسب Ali, Muhammad

    منشور في 2022
    "…Furthermore, the model allows for the identification of the variables that influence response time across different segments of the emergency response process: dispatch, wheeling, and roadway times. …"
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    masterThesis
  8. 188

    Diagnostic structure of visual robotic inundated systems with fuzzy clustering membership correlation حسب Hariprasath Manoharan (14157966)

    منشور في 2023
    "…<p dir="ltr">The process of using robotic technology to examine underwater systems is still a difficult undertaking because the majority of automated activities lack network connectivity. …"
  9. 189

    MoveSchedule حسب Zouein, Pierette

    منشور في 1995
    "…The resource levels describe different methods or crew-sizes for performing the activity. …"
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    masterThesis
  10. 190

    Novel hybrid informational model for predicting the creep and shrinkage deflection of reinforced concrete beams containing GGBFS حسب Iman Faridmehr (14150616)

    منشور في 2022
    "…<p>This study investigates a Novel Hybrid Informational model for the prediction of creep and shrinkage deflection of reinforced concrete (RC) beams containing different percentages of ground granulated blast furnace slag (GGBFS) at different ages, varying from 1 to 150 days. …"
  11. 191

    3D GEOSTATISTICAL MODELING OF FACIES AND PETROPHYSICAL PROPERTIES OF THE UPPER KHARTAM OUTCROP OF KHUFF FORMATION, CENTRAL SAUDI ARABIA حسب Makkawi, Mohammad

    منشور في 2020
    "…In the context of 3D modelling, lithofacies within each zone was populated separately by using different geostatistical algorithm. Based on the relative sea level, the dominated lithofacies and the presence or absence of marine fauna, the studied interval was subdivided into three broad intervals. …"
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    masterThesis
  12. 192
  13. 193

    Decomposition-based wind power forecasting models and their boundary issue: An in-depth review and comprehensive discussion on potential solutions حسب Yinsong Chen (16685508)

    منشور في 2022
    "…However, existing studies usually utilize future data during the decomposition process and therefore cannot be appropriately employed for real-world applications, due to the inaccessibility of future data. …"
  14. 194

    Integration of Artificial Intelligence in E-Procurement of the Hospitality Industry: A Case Study in the UAE حسب Mathew, Elezabeth

    منشور في 2020
    "…The novel LSTM time series algorithm proved to work best for demand forecasting. …"
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  15. 195

    Secure and Anonymous Communications Over Delay Tolerant Networks حسب Spiridon Bakiras (16896408)

    منشور في 2020
    "…Instead, our work introduces a novel message forwarding algorithm that delivers messages, from source to destination, via a random walk process. …"
  16. 196

    KNNOR: An oversampling technique for imbalanced datasets حسب Ashhadul Islam (16869981)

    منشور في 2021
    "…However, if the training data is not balanced among different classes, the performance of ML models deteriorate heavily. …"
  17. 197
  18. 198

    An Anchor-Based Localization in Underwater Wireless Sensor Networks for Industrial Oil Pipeline Monitoring حسب Nitin Goyal (7876730)

    منشور في 2022
    "…Anchor-based localization techniques are segregated into range-free and range-based processes. Range-based schemes depend on various techniques like angle of arrival (AoA), time of arrival (ToA), time difference of arrival (TDoA), and received signal strength indicator (RSSI). …"
  19. 199

    Reinforcement R-learning model for time scheduling of on-demand fog placement حسب Farhat, Peter

    منشور في 2020
    "…This choice is subject to study the demand of a particular location for services in order to maximize the resources utilization of these fogs. A simple algorithm will not be able to explore randomly changing users’ demands. …"
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    article
  20. 200