بدائل البحث:
algorithm cost » algorithm goa (توسيع البحث), algorithm aoa (توسيع البحث), algorithm its (توسيع البحث)
using function » using fusion (توسيع البحث)
algorithm a » algorithm fa (توسيع البحث), algorithms a (توسيع البحث), algorithm _ (توسيع البحث)
a function » _ functional (توسيع البحث)
algorithm cost » algorithm goa (توسيع البحث), algorithm aoa (توسيع البحث), algorithm its (توسيع البحث)
using function » using fusion (توسيع البحث)
algorithm a » algorithm fa (توسيع البحث), algorithms a (توسيع البحث), algorithm _ (توسيع البحث)
a function » _ functional (توسيع البحث)
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241
Metaheuristic Optimization‐Based Sliding Mode Control With Modified Perturb and Observe for Controlling MPPT of a PV Interfaced Grid Connected System
منشور في 2025"…These two performance figures for various transition instances demonstrate that the suggested MPPT algorithm can determine the global MPP for the new shading pattern (SP) when it shifts from a uniform state to a partially shaded condition at 4s (middle of the <i>x</i>‐axis).…"
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242
Copy number variations in the genome of the Qatari population
منشور في 2015"…We present the first high-resolution copy number variation (CNV) map for a Gulf Arab population, using a hybrid approach that integrates array genotyping intensity data and next-generation sequencing reads to call CNVs in the Qatari population. …"
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243
Exploring the Dynamic Interplay of Deleterious Variants on the RAF1–RAP1A Binding in Cancer: Conformational Analysis, Binding Free Energy, and Essential Dynamics
منشور في 2024"…Hence, the current study focuses on the screening of clinically reported substitutions in the <i>RAF1</i> and <i>RAP1A</i> genes using predictive algorithms integrated with all‐atoms simulation, essential dynamics, and binding free energy methods. …"
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244
Economic Production Lot-Sizing For An Unreliable Machine Under Imperfect Age-Based Maintenance Policy
منشور في 2020"…Numerical results are provided to illustrate both the use of the algorithm in the study of the optimal cost function and the latter's sensitivity to different changes in cost factors. …"
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article -
245
Resources Allocation for Drones Tracking Utilizing Agent-Based Proximity Policy Optimization
منشور في 2023"…An Extended Kalman Filter (EKF) is used to estimate the track. The learned system can apply sensor allocation online, works in real-time, and selects one radar and one camera at a time without having to reevaluate a cost function at every time step. …"
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246
Multi Agent Reinforcement Learning Approach for Autonomous Fleet Management
منشور في 2019احصل على النص الكامل
doctoralThesis -
247
Improving the Resilience of Smart Distribution Networks against Cyber Attacks
منشور في 2022احصل على النص الكامل
doctoralThesis -
248
Optimized provisioning of edge computing resources with heterogeneous workload in IoT networks
منشور في 2019"…We analyze the effectiveness of the proposed algorithm through extensive simulations and highlight valuable performance trends and trade-offs as a function of various system parameters.…"
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article -
249
Modeling of magnetization curves for computer-aided design
منشور في 1993"…A simple algorithm is presented for obtaining the coefficients of the sine-series function for modelling the magnetization curves of magnetic materials. …"
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article -
250
Morphology for Planar Hexagonal Modular Self-Reconfigurable Robotic Systems
منشور في 2009احصل على النص الكامل
doctoralThesis -
251
Scatter search metaheuristic for homology based protein structure prediction. (c2015)
منشور في 2015"…We assess our algorithm on a total of 11 proteins whose structures are present in the Protein Data Bank (PDB) and which has been used in previous literature. …"
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masterThesis -
252
Multidimensional Gains for Stochastic Approximation
منشور في 2019"…Instead of a scalar step size, we use an iterate-dependent matrix gain to effectively weigh the different elements associated with the noisy observations. …"
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article -
253
Robust tuning of power system stabilizers in multimachine powersystems
منشور في 2000"…The problem of selecting the stabilizer parameters is converted to a simple optimization problem with an eigenvalue-based objective function, which is solved by a tabu search algorithm. …"
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article -
254
Power system output feedback stabilizer design via geneticalgorithms
منشور في 1997"…In the second method, the problem of selecting the output feedback gains is converted to a simple optimization problem with an eigenvalue based objective function, which is solved by a genetic algorithm. …"
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article -
255
Fragment-based computational protein structure prediction
منشور في 2014"…The method is based on a two-phase Scatter Search algorithm that minimizes the energy function. …"
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conferenceObject -
256
Energy-Efficient Computation Offloading in Vehicular Edge Cloud Computing
منشور في 2020"…Subsequently, we propose a method to measure the cost-effectiveness of allocated resources and energy savings, named value density function. …"
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257
Design Optimization of Inductive Power Transfer Systems Considering Bifurcation and Equivalent AC Resistance for Spiral Coils
منشور في 2020"…Based on the FEM simulations, a new approximation method using separation of variables is proposed as a function of spiral coil's main parameters. …"
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258
On the parameterized parallel complexity and the vertex cover problem
منشور في 2016"…In particular, we present a parallel algorithm that outperforms the best known parallel algorithm for this problem: using O(m) instead of O(n2) parallel processors, the running time improves from 4logn+O(kk) to O(k⋅log3n) , where m is the number of edges, n is the number of vertices of the input graph, and k is an upper bound of the size of the sought vertex cover. …"
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conferenceObject -
259
Shuffled Linear Regression with Erroneous Observations
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. …"
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conferenceObject -
260
Adaptive cooperative control of nonlinear multi-agent systems with uncertain time-varying control directions and dead-zone nonlinearity
منشور في 2021"…It is assumed that no prior knowledge about the uncertain nonlinearities of agents, disturbances, dead-zone parameters, magnitude and sign of the control gain is available. In this paper, a Nussbaum function is used to deal with the unknown time-varying control directions problem and a disturbance-like term in the dead-zone description is approximated by an adaptive TSK-type fuzzy system. …"