يعرض 281 - 300 نتائج من 348 نتيجة بحث عن '(( algorithm fa function ) OR ((( algorithm its function ) OR ( algorithm a function ))))', وقت الاستعلام: 0.12s تنقيح النتائج
  1. 281

    Prediction of biogas production from chemically treated co-digested agricultural waste using artificial neural network حسب Fares Almomani (12585685)

    منشور في 2020
    "…The developed model can be used to forecast the CMP as a function of operating temperature, the substrate composition, and chemical dose, and can be used for scaling-up and cost analysis purposes.…"
  2. 282

    Scatter search for homology modeling حسب Mansour, Nashat

    منشور في 2016
    "…The metaheuristic optimizes the initial poor alignments and uses fitness functions. We assess our algorithm on a number of proteins whose structures are present in the Protein Data Bank and which have been used in previous literature. …"
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  3. 283

    Defense against adversarial attacks: robust and efficient compressed optimized neural networks حسب Insaf Kraidia (19198012)

    منشور في 2024
    "…A cumulative updating loss function was employed for overall optimization, demonstrating remarkable superiority over traditional optimization techniques. …"
  4. 284

    Small-Signal Stability Analysis and Parameters Optimization of Virtual Synchronous Generator for Low-Inertia Power System حسب Alaa Altawallbeh (22565837)

    منشور في 2025
    "…Through systematic eigenvalue analysis and parameter sensitivity studies, complemented by time-domain verification in MATLAB/SIMULINK, we demonstrate the decisive influence of VSG control parameters on low-frequency oscillation (LFO) damping characteristics, transient frequency stability metrics, including the rate of change of frequency (ROCOF), maximum frequency deviation (<i>fnadir</i>), overshoot, and settling time. We further propose a hybrid Particle Swarm Optimization (PSO) algorithm with a multi-objective cost function to optimize VSG controller gains. …"
  5. 285

    Entire hypergeometric approximants for the ground state energy perturbation series of the quartic, sextic and octic anharmonic oscillators حسب I.S. Elkamash (16810689)

    منشور في 2023
    "…Besides, in literature, we barely can find a resummation algorithm for which the convergence is faster for stronglydivergent ( Gevrey − k , k > 1) series than a divergent one ( Gevrey − 1 ). …"
  6. 286
  7. 287

    Power matching approach for GPS coverage extension حسب Saab, Samer S.

    منشور في 2006
    "…Commercial automobile navigation systems currently employ a GPS receiver coupled with a dead reckoning (DR) system and a map-matching algorithm. …"
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    article
  8. 288

    Crashworthiness optimization of composite hexagonal ring system using random forest classification and artificial neural network حسب Monzure-Khoda Kazi (17191207)

    منشور في 2024
    "…These algorithms include random forest (RF) classification and artificial neural networks (ANN). …"
  9. 289
  10. 290

    Singularly perturbed nonlinear ODEs and interior point optimizationalgorithms حسب Ezzine, J.

    منشور في 1995
    "…This paper explores the continuous realizations of iterative processes emanating from interior point optimization algorithms, and their connection with nonlinear singularly-perturbed ordinary differential equations. …"
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    article
  11. 291

    Iterative heuristics for multiobjective VLSI standard cellplacement حسب Sait, Sadiq M.

    منشور في 2001
    "…Fuzzy rules are incorporated in order to design a multiobjective cost function that integrates the costs of three objectives in a single overall cost value. …"
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  12. 292

    EVOLUTIONARY HEURISTICS FOR MULTIOBJECTIVE VLSI NETLIST BI-PARTITIONING حسب Sait, Sadiq M.

    منشور في 2020
    "…Fuzzy rules are incorporated in order to design a multiobjective cost function. Both the techniques are applied to ISCAS-85/89 benchmark circuits and experimental results are reported and compared.…"
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    article
  13. 293

    General iterative heuristics for VLSI multiobjective partitioning حسب Sait, Sadiq M.

    منشور في 2003
    "…These heuristics are based on Genetic Algorithms (GAs) and Tabu Search (TS) and incorporate fuzzy rules in order to handle the multiobjective cost function. …"
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    article
  14. 294

    Design and development of an embedded controller for roboticmanipulator حسب Bakhashwain, J.M.

    منشور في 1998
    "…MPA is capable of determining a simplified control law by selecting the most dominant terms from a library of nonlinear functions associated with the robot's equations of motion. …"
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  15. 295

    New primitives to AOP weaving capabilities for security hardening concerns حسب Mourad, Azzam

    منشور في 2007
    "…These primitives are called exportParameter and importParameter and are used to pass parameters between two point cuts. They allow to analyze a program’s call graph in order to determine how to change function signatures for the passing of parameters associated with a given security hardening. …"
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  16. 296

    FAST FUZZY FORCE-DIRECTED/SIMULATED EVOLUTION METAHEURISTIC FOR MULTIOBJECTIVE VLSI CELL PLACEMENT حسب Sait, Sadiq M.

    منشور في 2006
    "…New fuzzy aggregation functions are proposed. SE is hybridized with force directed algorithm to speed-up the search. …"
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  17. 297
  18. 298

    Design of adaptive arrays based on element position perturbations حسب Dawoud, M.M.

    منشور في 1993
    "…The array comprises a signal processor, digital control algorithm (PID), stepper motors, shaft encoders, actuators and multiplexers. …"
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    article
  19. 299

    AGEomics Biomarkers and Machine Learning—Realizing the Potential of Protein Glycation in Clinical Diagnostics حسب Naila Rabbani (291722)

    منشور في 2022
    "…The term AGEomics is defined as multiplexed quantitation of spontaneous modification of proteins damage and other usually low-level modifications associated with a change of structure and function—for example, citrullination and transglutamination. …"
  20. 300

    Axes-Based Encryption Key حسب Haidar, Imane

    منشور في 2018
    "…This paper introduces a new approach in cryptography based on the distribution of data using an x-y key function. …"
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