يعرض 101 - 120 نتائج من 124 نتيجة بحث عن '(( iterative optimization algorithm ) OR ( storage optimization algorithm ))', وقت الاستعلام: 0.20s تنقيح النتائج
  1. 101

    An innovative simulated annealing approach to the long-term hydroscheduling problem حسب Mantawy, A.H.

    منشور في 2001
    "…A significant reduction in the number of the objective function evaluations, and consequently less iterations are required to reach the optimal solution. …"
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    article
  2. 102

    Traffic Offloading with Channel Allocation in Cache-Enabled Ultra-Dense Wireless Networks حسب Abbas, Nadine

    منشور في 2018
    "…We also propose efficient sub-optimal hierarchical tree-based algorithms that operate in real time with dynamic and fast solutions for ultra dense networks. …"
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    article
  3. 103

    A MIMO Sampling-Rate-Dependent Controller حسب Saab, Samer S.

    منشور في 2014
    "…Performance is compared to a PID controller with fuzzy gain scheduling, four multivariable PID controllers, an H ∞ optimal controller, and an iterative-learning-control algorithm.…"
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    article
  4. 104
  5. 105

    Design and analysis of entropy-constrained reflected residual vector quantization حسب Mousa, W.A.H.

    منشور في 2002
    "…Residual vector quantization (RVQ) is a vector quantization (VQ) paradigm which imposes structural constraints on the encoder in order to reduce the encoding search burden and memory storage requirements of an unconstrained VQ. Jointly optimized RVQ (JORVQ) is an effective design algorithm for minimizing the overall quantization error. …"
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    article
  6. 106

    Spacecraft spin axis attitude determination حسب Emara-Shabaik, H.E.

    منشور في 1992
    "…The results show a tradeoff between estimation accuracy and computational requirements. One algorithm is about three times more accurate than the other and is therefore recommended even though it requires about 20% more in computer storage and operations, and about 50% more in central processing unit time…"
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    article
  7. 107

    Practical single node failure recovery using fractional repetition codes in data centers حسب Itani, May

    منشور في 2016
    "…Node failures in distributed storage systems are becoming a critical issue, and many erasure codes are designed to handle such failures. …"
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  8. 108

    Enhanced Inverse Model Predictive Control for EV Chargers: Solution for Rectifier-Side حسب Ali Sharida (17947847)

    منشور في 2024
    "…Then, an adaptive estimation strategy employing a recursive least square algorithm is proposed for online dynamic model estimation, which is then used by the IMPC for optimal switching states prediction. …"
  9. 109

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

    منشور في 1998
    "…Data security is an important aspect of information transmission and storage in an electronic form. Cryptographic systems are used to encrypt such information to guarantee its security. …"
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    masterThesis
  10. 110

    Application of Metastructures for Targeted Low-Frequency Vibration Suppression in Plates حسب Ratiba F. Ghachi (14152455)

    منشور في 2022
    "…The thin plate and the zigzag cutouts are modelled using the finite element method, and the optimal location and optimal tip mass of the zigzag cutouts are obtained using genetic algorithms through iterative simulations. …"
  11. 111

    Hardware Model of an Expandable RSA Cryptographic System حسب Gutub, Adnan

    منشور في 1998
    "…Data security is an important aspect of information transmission and storage in an electronic form. Cryptographic systems are used to encrypt such information to guarantee its security. …"
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    masterThesis
  12. 112

    Fleet sizing of trucks for an inter-facility material handling system using closed queueing networks حسب Mohamed Amjath (17542512)

    منشور في 2022
    "…Within this context, the problem is modelled as a closed queueing network (CQN) combined with mixed-integer nonlinear programming (MINLP) to determine the optimal fleet size. This study proposes an analytical method based on sequential quadratic programming (SQP) methodology coupled with a mean value analysis (MVA) algorithm to solve this NP-Hard problem. …"
  13. 113

    FoGMatch حسب Arisdakessian, Sarhad

    منشور في 2019
    "…Our solution consists of (1) two optimization problems, one for the IoT devices and one for the fog nodes, (2) preference functions for both the IoT and fog layers to help them rank each other on the basis of several criteria such latency and resource utilization, and (3) centralized and distributed intelligent scheduling algorithms that consider the preferences of both the fog and IoT layers to improve the performance of the overall IoT ecosystem. …"
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    masterThesis
  14. 114

    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). …"
  15. 115
  16. 116

    Scatter search for homology modeling حسب Mansour, Nashat

    منشور في 2016
    "…These candidates undergo evolutionary operations that combine search intensification and diversification over a number of iterations. The metaheuristic optimizes the initial poor alignments and uses fitness functions. …"
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  17. 117

    Scatter search metaheuristic for homology based protein structure prediction. (c2015) حسب Stamboulian, Mouses Hrag

    منشور في 2015
    "…To improve homology based PSP, we propose a scatter search (SS) metaheuristic algorithm. Our algorithm optimizes the initial poor alignments, generated by a dynamic programming method. …"
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    masterThesis
  18. 118

    Joint Planning of Smart EV Charging Stations and DGs in Eco-Friendly Remote Hybrid Microgrids حسب Shaaban, Mostafa

    منشور في 2019
    "…The planning problem jointly allocates and sizes a set of distributed generators (DGs) along with the EV charging stations to balance the supply with the total demand of regular loads and EV charging. The planning algorithm specifies optimal locations and sizes of the EV charging stations and DG units that minimize two conflicting objectives: (a) deployment and operation costs and (b) associated green house gas emissions, while satisfying the microgrid technical constraints. …"
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    article
  19. 119

    KT2C. (c2014) حسب Al Kawam, Ahmad

    منشور في 2016
    "…The rest of the components are distributed among these clusters with the goal of reducing the center's temperature. The algorithm then iterates attempting to produce a uniform temperature distribution among clusters while reducing wire-length. …"
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    masterThesis
  20. 120