يعرض 201 - 220 نتائج من 235 نتيجة بحث عن '(((( element data algorithm ) OR ( complement control algorithm ))) OR ( level using algorithms ))', وقت الاستعلام: 0.11s تنقيح النتائج
  1. 201

    Severity-Based Prioritized Processing of Packets with Application in VANETs حسب Ala Al-Fuqaha (4434340)

    منشور في 2019
    "…Also, the proposed heuristic is tested against a non-prioritized processing algorithm that works using first come first served policy. …"
  2. 202
  3. 203

    Analyzing the Influence of Climate and Anthropogenic Development on Vegetation Cover in the Coastal Ecosystems of GCC حسب Abhilash Dutta Roy (22466830)

    منشور في 2025
    "…We used Landsat satellite imagery and a Random Forest classification algorithm to map various land cover classes along the GCC coastline. …"
  4. 204

    Oversampling techniques for imbalanced data in regression حسب Samir Brahim Belhaouari (9427347)

    منشور في 2024
    "…For image datasets, we employ Multi-Level Autoencoders, consisting of Convolutional and Fully Connected Autoencoders. …"
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  6. 206

    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
    "…Moreover, the Reconciliate Multi-Agent Markov Learning (RMML) based classification algorithm is used to predict the intrusion with its appropriate classes. …"
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    AUTOMATIC WEINBERGER ARRAY SYNTHESIS FROM UAHPL DESCRIPTION حسب Sait, Sadiq M.

    منشور في 2020
    "…The system also minimizes the area required by the WA by performing row compaction. An algorithm similar to that used for channel routing is employed for compaction (Hashimoto and Stevens 1971). …"
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    article
  10. 210
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  14. 214

    Adaptive false discovery rate for wavelet denoising of pavement continuous deflection measurements حسب Katicha, Samer W.

    منشور في 2016
    "…The algorithm minimizes the classification error of features in the wavelet transform domain by adaptively selecting the level at which to control the false discovery rate. …"
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    article
  15. 215

    Mechanical perturbation control of cardiac alternans حسب Hazim, Azzam

    منشور في 2018
    "…We analyze the effects of mechanical perturbation on the dynamics of amap model that couples themembrane voltage and active tension systems at the cellular level. Therefore, a two-dimensional iterative map of the heart beat-to-beat dynamics is introduced, and a stability analysis of the system of coupled maps is performed in the presence of a mechanical perturbation algorithm. …"
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    article
  16. 216

    Artificial Intelligence (AI) based machine learning models predict glucose variability and hypoglycaemia risk in patients with type 2 diabetes on a multiple drug regimen who fast d... حسب Tarik Elhadd (5480393)

    منشور في 2020
    "…The optimal XGBoost model prioritized age, gender, BMI and HbA1c followed by glucose levels and physical activity. Interestingly, the blood glucose level prediction by our model was influenced by use of SGLT2i.…"
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    A hybrid model for the optimum integration of renewable technologies in power generation systems حسب Poullikkas, Andreas

    منشور في 2011
    "…The optimization model developed uses a genetic algorithm (GA) technique for the calculation of both the additional cost of electricity due to the penetration of RES-E technologies as well as the required RES-E levy in the electricity bills in order to fund this RES-E penetration. …"
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    article
  19. 219

    Inferential sensing techniques in industrial applications حسب Shakil,, Muhammad

    منشور في 0007
    "…System delays are obtained by approximating the model by a linear model. Genetic algorithm, which is a heuristic optimization technique, is used to ¯nd the system delays of the linear model, which are used in dynamical neural network model. …"
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    masterThesis
  20. 220

    Enhancing Building Energy Management: Adaptive Edge Computing for Optimized Efficiency and Inhabitant Comfort حسب Sergio Márquez-Sánchez (19437985)

    منشور في 2023
    "…However, these BEMSs often suffer from a critical limitation—they are primarily trained on building energy data alone, disregarding crucial elements such as occupant comfort and preferences. …"