يعرض 81 - 100 نتائج من 124 نتيجة بحث عن '(( algorithm machine function ) OR ( ((algorithm its) OR (algorithm sma)) function ))', وقت الاستعلام: 0.11s تنقيح النتائج
  1. 81

    Integrated Energy Optimization and Stability Control Using Deep Reinforcement Learning for an All-Wheel-Drive Electric Vehicle حسب Reza Jafari (3494018)

    منشور في 2025
    "…A tailored multi-term reward function is structured to penalize excessive yaw rate error, sideslip angle, tire slip deviations beyond peak grip regions, and power losses based on a realistic electric machine efficiency map. …"
  2. 82

    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. …"
  3. 83
  4. 84
  5. 85

    Label dependency modeling in Multi-Label Naïve Bayes through input space expansion حسب PKA Chitra (21749216)

    منشور في 2024
    "…The performance of our approach is gauged against the traditional multi-label Naïve Bayes (MLNB) algorithm and is quantified through a suite of evaluation metrics. …"
  6. 86
  7. 87

    A novel method for the detection and classification of multiple diseases using transfer learning-based deep learning techniques with improved performance حسب Krishnamoorthy Natarajan (22047464)

    منشور في 2024
    "…This is done through diagnosing and treating illness or injury as soon as feasible to stop or delay its course, supporting personal ways to avoid recurrence or reinjury, and implementing programs to restore individuals to their previous health and function to prevent long-term difficulties. …"
  8. 88

    Multi-Modal Emotion Aware System Based on Fusion of Speech and Brain Information حسب M. Ghoniem, Rania

    منشور في 2019
    "…For classifying unimodal data of either speech or EEG, a hybrid fuzzy c-means-genetic algorithm-neural network model is proposed, where its fitness function finds the optimal fuzzy cluster number reducing the classification error. …"
    احصل على النص الكامل
    احصل على النص الكامل
  9. 89

    Digital-Twin-Based Diagnosis and Tolerant Control of T-Type Three-Level Rectifiers حسب Ali Sharida (17947847)

    منشور في 2023
    "…The OSF detection and localization algorithm is implemented based on the dynamic response difference between the physical system and its DT. …"
  10. 90

    Fixed set search applied to the multi-objective minimum weighted vertex cover problem حسب Raka Jovanovic (17947838)

    منشور في 2022
    "…One important characteristic of the proposed GRASP is that it avoids the use of weighted sums of objective functions in the local search and the greedy algorithm. …"
  11. 91

    A hybrid neuro-fuzzy power system stabilizer for multimachine powersystems حسب Abido, M.A.

    منشور في 1998
    "…The proposed FBFN is trained over a wide range of operating conditions in order to re-tune the PSS parameters in real-time based on machine loading conditions. The orthogonal least squares (OLS) learning algorithm is developed for designing an adequate and parsimonious FBFN model. …"
    احصل على النص الكامل
    احصل على النص الكامل
    article
  12. 92

    Simultaneous stabilisation of power systems using geneticalgorithms حسب Abdel-Magid, Y.L.

    منشور في 1997
    "…The problem of selecting the parameters of a power system stabiliser which simultaneously stabilises this set of plants is converted to a simple optimisation problem which is solved by a genetic algorithm and an eigenvalue-based objective function. …"
    احصل على النص الكامل
    احصل على النص الكامل
    article
  13. 93

    Resources Allocation for Drones Tracking Utilizing Agent-Based Proximity Policy Optimization حسب De Rochechouart, Maxence

    منشور في 2023
    "…The work demonstrates how machine learning techniques can capture resource allocation policy and help avoid the complexity of having to re-calculate cost function at every time step, especially when we have many radars and many cameras.…"
    احصل على النص الكامل
  14. 94

    Shuffled Linear Regression with Erroneous Observations حسب Saab, Samer S.

    منشور في 2019
    "…We propose an optimal recursive algorithm that updates the estimate from the underdetermined function that is based on that permutation-invariant constraint. …"
    احصل على النص الكامل
    احصل على النص الكامل
    احصل على النص الكامل
    احصل على النص الكامل
    conferenceObject
  15. 95

    A modified optimal design of a vibration absorber for ground motion isolation حسب Issa, Jimmy S.

    منشور في 2014
    "…The optimal parameters are plotted and several examples are considered where the objective function is plotted in its approximate and exact optimal shapes.…"
    احصل على النص الكامل
    احصل على النص الكامل
    احصل على النص الكامل
    احصل على النص الكامل
    conferenceObject
  16. 96
  17. 97

    UAV Trajectory Planning for Data Collection from Time-Constrained IoT Devices حسب Samir, Moataz

    منشور في 2019
    "…We demonstrate the favourable characteristics of the proposed algorithms via extensive simulation results and analysis as a function of various system parameters, with benchmarking against two greedy algorithms based on distance and deadline metrics.…"
    احصل على النص الكامل
    احصل على النص الكامل
    احصل على النص الكامل
    احصل على النص الكامل
    article
  18. 98

    Joint distributed synchronization and positioning in UWB ad hoc networks using TOA حسب Denis, B.

    منشور في 2006
    "…Finally, the proposed distributed maximum log-likelihood algorithm proves to preserve a reasonable level of complexity in each node by approximating asynchronously the positive gradient direction of the log-likelihood function. …"
    احصل على النص الكامل
    احصل على النص الكامل
    احصل على النص الكامل
    article
  19. 99
  20. 100

    Metaheuristic Optimization‐Based Sliding Mode Control With Modified Perturb and Observe for Controlling MPPT of a PV Interfaced Grid Connected System حسب Anupama Ganguly (22502969)

    منشور في 2025
    "…Also, the proposed hybrid (MGO‐MPb&O) is compared with two other hybrid control topologies that are (PSO‐MPb&O) and (cuckoo search algorithm [CSA]‐MPb&O) in terms of maximum power extracted, efficiency, and convergence time of the objective function. …"