يعرض 301 - 320 نتائج من 467 نتيجة بحث عن '(( element data algorithm ) OR ((( data models algorithm ) OR ( defined using algorithm ))))', وقت الاستعلام: 0.14s تنقيح النتائج
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    FAILURE RATE ANALYSIS OF BOEING 737 BRAKES EMPLOYING NEURAL NETWORK حسب Al-Garni, Ahmed Z.

    منشور في 2007
    "…Three years of data are used for model building and validation. …"
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    article
  4. 304

    A novel network-based SIS framework for improved GA performance حسب Tohme, Rawane

    منشور في 2025
    "…Genetic algorithms have long been used to solve complex optimization problems by mimicking natural selection processes. …"
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    masterThesis
  5. 305
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    Area Flexible GF(2k) Elliptic Curve Cryptography Coprocessor حسب Gutub, Adnan

    منشور في 2007
    "…Elliptic curve cryptography (ECC) is popularly defined either over GF(p) or GF(2k). This research modifies a GF(p) multiplication algorithm to make it applicable for GF(2k). …"
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    article
  7. 307

    Electric Vehicles Charging Station Load Forecasting Integration With Renewable Energy Using Novel Deep EfficientBiLSTMNet حسب Vineet Dhanawat (22361395)

    منشور في 2025
    "…The model’s hyperparameters are optimized using an Enhanced Firefly Algorithm (EFA). …"
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    A Fully Optical Laser Based System for Damage Detection and Localization in Rail Tracks Using Ultrasonic Rayleigh Waves: A Numerical and Experimental Study حسب Masurkar, Faeez

    منشور في 2022
    "…Finally, a 3D Finite Element simulation was conducted to validate the findings and each observation resulting from the experiments. …"
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  10. 310

    Prediction of Multiple Clinical Complications in Cancer Patients to Ensure Hospital Preparedness and Improved Cancer Care حسب Regina Padmanabhan (14231606)

    منشور في 2022
    "…The XGboost algorithm is suggested from 10-fold cross-validation on 6 candidate models. …"
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    Predicting long-term type 2 diabetes with support vector machine using oral glucose tolerance test حسب Hasan T. Abbas (8115014)

    منشور في 2019
    "…We trained and validated the models using the OGTT and demographic data of 1,492 healthy individuals collected during the San Antonio Heart Study. …"
  13. 313

    Solar power forecasting beneath diverse weather conditions using GD and LM-artificial neural networks حسب Sharma, Neetan

    منشور في 2023
    "…A case study has been done in the Peer Panjal region. The data collected for four months with various parameters have been applied randomly as input data using GD and LM type of artificial neural network compared to actual solar energy data. …"
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  14. 314

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

    منشور في 2020
    "…High-level synthesis is the process of automatically translating abstract behavioral models of digital systems to implementable hardware. …"
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    article
  15. 315

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

    منشور في 2021
    "…Machine learning models were the most prominent branch of AI used in the prediction of cardiac arrest in the studies (38/47, 81%), and the most used algorithm was the neural network (23/47, 49%). …"
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    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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  18. 318

    Performance Analysis of a Three-to-Five Phase Dual Matrix Converter Based on Space Vector Pulse Width Modulation حسب Khaliqur Rahman (10214098)

    منشور في 2019
    "…The hardware setup is developed and control algorithm is implemented using dSPACE working in conjunction with the FPGA interface board for practical validation.…"
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    Development of a deep learning-based group contribution framework for targeted design of ionic liquids حسب Sadah Mohammed (18192859)

    منشور في 2024
    "…This computational framework can expedite and improve the process of finding desirable molecular structures of IL via accurate property predictions in a data-driven manner. Our proposed framework consists of two essential steps: establishing a correlation between IL viscosity and CO<sub>2</sub> solubility by merging two deep learning models (DNN-GC and ANN-GC) and utilizing this correlation to identify the optimal IL structure with maximal CO<sub>2</sub> absorption capacity. …"
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