يعرض 81 - 100 نتائج من 288 نتيجة بحث عن '(((( implementing modeling algorithm ) OR ( element data algorithm ))) OR ( data means algorithm ))', وقت الاستعلام: 0.13s تنقيح النتائج
  1. 81

    Detecting sleep outside the clinic using wearable heart rate devices حسب Ignacio Perez-Pozuelo (14153007)

    منشور في 2022
    "…Against sleep diaries, the algorithm yielded a mean squared error of 0.04–0.06 and a total sleep time (TST) deviation of - 2.70 (± 5.74) and 12.80 (± 3.89) minutes, respectively. …"
  2. 82

    Ensemble-Based Spam Detection in Smart Home IoT Devices Time Series Data Using Machine Learning Techniques حسب Ameema Zainab (16864263)

    منشور في 2020
    "…The obtained results illustrate the efficacy of the proposed algorithm to analyze the time series data from the IoT devices for spam detection.…"
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    A Blockchain Model for Secure Communications in Internet of Vehicles حسب Mershad, Khaleel

    منشور في 2021
    "…The simulation results demonstrated the good performance of the HPBC algorithm when implemented within the IoV environment.…"
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    conferenceObject
  6. 86

    A Hardware Model of an Expandable RSA Cryptogrsphic System حسب Gutub, Adnan

    منشور في 1998
    "…This implementation is modeled using VHDL in a parametrizable manner. …"
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    masterThesis
  7. 87
  8. 88

    Spatially-Distributed Missions With Heterogeneous Multi-Robot Teams حسب Eduardo Feo-Flushing (23276023)

    منشور في 2021
    "…Both combine a generic MILP solver and a genetic algorithm, resulting in efficient anytime algorithms. …"
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    Nonlinear analysis of shell structures using image processing and machine learning حسب M.S. Nashed (16392961)

    منشور في 2023
    "…The proposed approach can be significantly more efficient than training a machine learning algorithm using the raw numerical data. To evaluate the proposed method, two different structures are assessed where the training data is created using nonlinear finite element analysis. …"
  11. 91

    Image-Based Air Quality Estimation Using Convolutional Neural Network Optimized by Genetic Algorithms: A Multi-Dataset Approach حسب Arshad Ali Khan (23152516)

    منشور في 2025
    "…To mitigate overfitting, we implemented dropout layers, batch normalization, and early stopping, significantly enhancing the model’s generalization capability. …"
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  15. 95

    Distilling Wisdom: A Review on Optimizing Learning From Massive Language Models حسب Dingzong Zhang (23275066)

    منشور في 2025
    "…This survey provides a detailed discussion of the basic principles, algorithms, and implementation methods of knowledge distillation. …"
  16. 96

    Modélisation et validation des modèles de véhicules hybrides حسب Mansour, Charbel

    منشور في 2009
    "…Une stratégie de contrôle prédictive pour le GMP THS-II est également élaborée par programmation dynamique (DP), afin d'optimiser la consommation sur une route spécifiée au lieu d'une optimisation instantanée telle la stratégie RB, et d'accélérer le temps de calcul de l'algorithme DP pour faciliter son implémentation au sein du véhicule pour des applications temps réel. …"
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    masterThesis
  17. 97

    A hybrid of clustering and meta-heuristic algorithms to solve a p-mobile hub location–allocation problem with the depreciation cost of hub facilities حسب Mahdi Mokhtarzadeh (11593310)

    منشور في 2021
    "…A multi-objective mixed-integer non-linear programming (MINLP) model is developed. To solve the proposed model, four meta-heuristic algorithms, namely multi-objective particle swarm optimization (MOPSO), a non-dominated sorting genetic algorithm (NSGA-II), a hybrid of k-medoids as a famous clustering algorithm and NSGA-II (KNSGA-II), and a hybrid of K-medoids and MOPSO (KMOPSO) are implemented. …"
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    Reinforcement R-learning model for time scheduling of on-demand fog placement حسب Farhat, Peter

    منشور في 2020
    "…An implementation of our proposed R-learning model is provided in the paper, followed by a series of experiments on a real dataset to prove its efficiency in utilizing fog resources and minimizing the cloud’s load. …"
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    article
  20. 100