Fast force-directed/simulated evolution hybrid for multiobjective VLSI cell placement حسب Sait, Sadiq M.

"…In this work, a fast hybrid algorithm is designed to address this problem. …"
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Optimal shunt compensators at nonsinusoidal busbars حسب El-Amin, I.M.

"…This model was solved employing the penalty function approach and the golden Section Search algorithm for solving the linear load case. …"
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Optimizing clopidogrel dose response حسب Saab, Yolande B.

"…Purpose Response to clopidogrel varies widely with nonresponse rates ranging from 4% to 30%. A reduced function of the gene variant of the CYP2C19 has been associated with lower drug metabolite levels, and hence diminished platelet inhibition. …"
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OPTIMAL SHUNT COMPENSATORS AT NON-SINUSOIDAL BUSBARS حسب El-Amin, I.M.

"…This model was solved employing the penalty function approach and the golden Section Search algorithm for solving the linear load case. …"
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Morphology for Planar Hexagonal Modular Self-Reconfigurable Robotic Systems حسب Sadjadi, Hossein

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Design Optimization of Inductive Power Transfer Systems Considering Bifurcation and Equivalent AC Resistance for Spiral Coils حسب Alireza Namadmalan (16864236)

"…Based on the FEM simulations, a new approximation method using separation of variables is proposed as a function of spiral coil's main parameters. …"

On the parameterized parallel complexity and the vertex cover problem حسب Abu-Khzam, Faisal N.

"…For a problem to be in FPPT, it should possess an efficient parallel algorithm not only from a theoretical standpoint but in practice as well. …"
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Joint distributed synchronization and positioning in UWB ad hoc networks using TOA حسب Denis, B.

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

"…In particular, the Proximity Policy Optimization (PPO) reinforcement algorithm is used to discover a policy for sensor selection that results in optimum sensor resource allocation. …"
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Shuffled Linear Regression with Erroneous Observations حسب Saab, Samer S.

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

"…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.…"
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Autonomous Robot Navigation Based On Recurrent Neural Networks حسب Al-Sagban, Mariam Qusai

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Optimization metaheuristic for software testing حسب Mansour, Nashat

"…SA evolves a solution by minimizing a function that is based on the contradictory objectives of coverage of events, diversity of events covered, and definite continuity of events. …"
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Simultaneous stabilisation of power systems using geneticalgorithms حسب Abdel-Magid, Y.L.

"…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. …"
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Multi Agent Reinforcement Learning Approach for Autonomous Fleet Management حسب Alhusin, Mohammed Omer Alamin

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Rate Adaptation in Dynamic Adaptive Video Streaming Over HTTP حسب Abdelhafez, Nada

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ELISSAR. (c1997) حسب Nasreddine, Diana M.

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Weak-coupling, strong-coupling and large-order parametrization of the hypergeometric-Meijer approximants حسب Abouzeid M. Shalaby (16810695)

"…<p dir="ltr">Without Borel or Padé techniques, we show that for a divergent series with n! large-order growth factor, the set of hypergeometric series _pF_p -2 represents suitable approximants. …"

IMPROVING BER PERFORMANCE OF LDPC CODES BASED ON INTERMEDIATE DECODING RESULTS حسب Alghonaim, Esa

"…The behavior of the BP algorithm is first investigated as a function of number of decoder iterations, and it is shown that typical uncorrected error patterns can be classified into 3 categories: oscillating, nearly-constant, or random-like, with a predominance of oscillating patterns at high Signal-to-Noise (SNR) values. …"
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Heuristics for graph decomposition حسب Mansour, N.

"…To find a reasonable solution to this intractable problem, we suggest an approximate objective function that can be minimized by heuristic procedures. …"
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