بدائل البحث:
algorithm time » algorithm its (توسيع البحث), algorithm sma (توسيع البحث)
algorithm a » algorithm fa (توسيع البحث), algorithms a (توسيع البحث), algorithm _ (توسيع البحث)
a function » _ functional (توسيع البحث)
algorithm time » algorithm its (توسيع البحث), algorithm sma (توسيع البحث)
algorithm a » algorithm fa (توسيع البحث), algorithms a (توسيع البحث), algorithm _ (توسيع البحث)
a function » _ functional (توسيع البحث)
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Logarithmic spiral search based arithmetic optimization algorithm with selective mechanism and its application to functional electrical stimulation system control
منشور في 2022"…The constructed Ls-AOA algorithm was then proposed to design a proportional-integral-derivative (PID) controller employed in a functional electrical stimulation (FES) system for the first time. …"
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Accommodating High Penetrations of Renewable Distributed Generation Mix in Smart Grids
منشور في 2017احصل على النص الكامل
doctoralThesis -
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Time-varying volatility model equipped with regime switching factor: valuation of option price written on energy futures
منشور في 2025"…This paper explores the calculation of European option prices on energy futures using a time-varying volatility model enhanced by a regime switching factor. …"
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New Fast Arctangent Approximation Algorithm for Generic Real-Time Embedded Applications
منشور في 2019"…The new algorithm exploits the pseudo-linear region around the tangent function zero point to estimate a reduced input arctangent through a modified rational approximation before referring this estimate to its original value using miniature LUTs. …"
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A fuzzy basis function network for generator excitation control
منشور في 1997"…A fuzzy basis function network (FBFN) based power system stabilizer (PSS) is presented in this paper. …"
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A neural networks algorithm for data path synthesis
منشور في 2003"…The method formulates the allocation problem using the clique partitioning problem, an NP-complete problem, and handles multicycle functional units as well as structural pipelining. The algorithm has a running time complexity of O(1) for a circuit with n operations and c shared resources. …"
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احصل على النص الكامل
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BUC algorithm for iceberg cubes
منشور في 2003"…In this paper, we implement the Bottom-Up Computation (BUC) algorithm for computing Iceberg cubes and conduct a sensitivity analysis of BUC with respect to the probability density function of the data. …"
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احصل على النص الكامل
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conferenceObject -
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A New Penalty Function Algorithm For Convex Quadratic Programming
منشور في 2020"…In this paper, we develop an exterior point algorithm for convex quadratic programming using a penalty function approach. …"
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Cross entropy error function in neural networks
منشور في 2002"…The ANN is implemented using the cross entropy error function in the training stage. The cross entropy function is proven to accelerate the backpropagation algorithm and to provide good overall network performance with relatively short stagnation periods. …"
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احصل على النص الكامل
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conferenceObject -
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Application of Red Deer Algorithm in Optimizing Complex functions
منشور في 2021"…The Red Deer algorithm (RDA), a recently developed population-based meta-heuristic algorithm, is examined in this paper with the optimization task of complex functions. …"
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Improving the Secure Socket Layer Protocol by modifying its Authentication function
منشور في 2017"…The most common cryptographic algorithm used for this function is RSA. If we double the key length in RSA to have more secure communication, then it is known that the time needed for the encryption and decryption will be increased approximately eight times. …"
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احصل على النص الكامل
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conferenceObject -
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New enumeration algorithm for regular boolean functions
منشور في 2018"…This paper introduces a new algorithm for enumerating regular Boolean functions. …"
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احصل على النص الكامل
احصل على النص الكامل
احصل على النص الكامل
conferenceObject -
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Evolutionary algorithms, simulated annealing and tabu search: a comparative study
منشور في 2020"…The three heuristics are applied on the same optimization problem and compared with respect to (1) quality of the best solution identified by each heuristic, (2) progress of the search frominitial solution(s) until stopping criteria are met, (3) the progress of the cost of the best solution as a function of time (iteration count), and (4) the number of solutions found at successive intervals of the cost function. …"
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Convergence analysis of the variable weight mixed-norm LMS-LMFadaptive algorithm
منشور في 2000"…In this work, the convergence analysis of the variable weight mixed-norm LMS-LMF (least mean squares-least mean fourth) adaptive algorithm is derived. The proposed algorithm minimizes an objective function defined as a weighted sum of the LMS and LMF cost functions where the weighting factor is time varying and adapts itself so as to allow the algorithm to keep track of the variations in the environment. …"
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article