يعرض 101 - 120 نتائج من 143 نتيجة بحث عن '(((( select forest algorithm ) OR ( element method algorithm ))) OR ( source model algorithm ))', وقت الاستعلام: 0.12s تنقيح النتائج
  1. 101
  2. 102

    A Full-System Approach of the Elastohydrodynamic Line/Point Contact Problem حسب Habchi, Wassim

    منشور في 2008
    "…The use of the finite element method allows the use of variable unstructured meshing and different types of elements within the same model which leads to a reduced size of the problem. …"
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    article
  3. 103

    LNCRI: Long Non-Coding RNA Identifier in Multiple Species حسب Saleh Musleh (15279190)

    منشور في 2021
    "…We applied the SHAP algorithm to demonstrate the importance of most dominating features that were leveraged in the model. …"
  4. 104

    Analysis of Multi-User-Based UAV System With Outdated CSI حسب Parvez Shaik (21633041)

    منشور في 2024
    "…In addition, energy efficiency analysis is also performed for the considered system model. In this framework, altitude and location-dependent path loss modeling are considered for the air-to-ground links. …"
  5. 105
  6. 106

    Analyzing Partial Shading in PV Systems Using Wavelet Packet Transform and Empirical Mode Decomposition Techniques حسب Kais Abdulmawjood (17947784)

    منشور في 2025
    "…The generated IMF components are then fed into the Random Forest (RF) algorithm designed for shading detection and classification. …"
  7. 107

    A novel on design and implementation of hybrid MPPT controllers for solar PV systems under various partial shading conditions حسب Chakarajamula Hussaian Basha (21633167)

    منشور في 2024
    "…The studied hybrid optimization MPPT methods are equated in terms of oscillations across MPP, output power extraction, settling time of the MPP, dependency on the PV modeling, operating duty value of the converter, error finding accuracy of MPPT, algorithm complexity, tracking speed, periodic tuning required, and the number of sensing parameters utilized. …"
  8. 108
  9. 109

    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). …"
  10. 110

    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. 111

    STEM: spatial speech separation using twin-delayed DDPG reinforcement learning and expectation maximization حسب Muhammad Salman Khan (7202543)

    منشور في 2025
    "…Its perceptual evaluation of speech quality (PESQ) score is 0.55 points better than a self-supervised learning (SSL) model and almost equivalent to the diffusion models at computational cost and training data which is many folds lesser than required by these algorithms. …"
  12. 112

    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
  13. 113

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

    منشور في 2021
    "…<p>Predictive performance of Machine Learning (ML) models rely on the quality of data used for training the models. …"
  14. 114

    Predictive modelling in times of public health emergencies: patients’ non-transport decisions during the COVID-19 pandemic حسب Hassan Farhat (9000509)

    منشور في 2025
    "…</p><h3>Methods</h3><p dir="ltr">Using Python® programming language, this study employed various supervised machine-learning algorithms, including parametric probabilistic models, such as logistic regression, and non-parametric models, including decision trees, random forest (RF), extra trees, AdaBoost, and k-nearest neighbours (KNN), using a dataset of non-transported patients (refused transport and did not receive treatment versus those who refused transport and received treatment) between 2018 and 2022. …"
  15. 115

    Arabic Hotel Reviews Sentiment Analysis Using Deep Learning حسب ALMANSOORI, MOHAMMAD

    منشور في 2023
    "…Our models utilized advanced text preprocessing, feature extraction, and classification algorithms to accurately predict sentiment polarity in Arabic hotel reviews. …"
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  16. 116

    Performance Prediction Using Classification حسب MOOLIYIL, GITA

    منشور في 2019
    "…A comprehensive evaluation requires that multiple models with different algorithms were analyzed using key performance measures. …"
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  17. 117
  18. 118

    Thermodynamic Analysis and Optimization of Densely-Packed Receiver Assembly Components in High-Concentration CPVT Solar Collectors حسب Sharaf, Omar Z.

    منشور في 2016
    "…However, accurate design models and clear simulation algorithms on the component-level are critical for the proper system-level engineering and evaluation of CPVT collectors. …"
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    article
  19. 119

    Strategies for Reliable Stress Recognition: A Machine Learning Approach Using Heart Rate Variability Features حسب Mariam Bahameish (19255789)

    منشور في 2024
    "…To account for limitations associated with small datasets, robust strategies were implemented based on methodological recommendations for ML with a limited dataset, including data segmentation, feature selection, and model evaluation. Our findings highlight that the random forest model achieved the best performance in distinguishing stress from non-stress states. …"
  20. 120

    Generic metadata representation framework for social-based event detection, description, and linkage حسب Abebe, Minale A.

    منشور في 2020
    "…SEDDaL consists of four main modules for: i) describing social media objects in a generic Metadata Representation Space Model (MRSM) consisting of three composite dimensions: temporal, spatial, and semantic, ii) evaluating the similarity between social media objects’ descriptions following MRSM, iii) detecting events from similar social media objects using an adapted unsupervised learning algorithm, where events are represented as clusters of objects in MRSM, and iv) identifying directional, metric, and topological relationships between events following MRSM’s dimensions. …"
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    article