Fragment based protein structure prediction. (c2013) حسب Terzian, Meghrig Ohanes

"…The method is based on a two-phase Scatter Search metaheuristic that minimizes the energy function. …"
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Power system output feedback stabilizer design via geneticalgorithms حسب Abdel-Magid, Y.L.

"…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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Fragment-based computational protein structure prediction حسب Mansour, Nashat

"…The method is based on a two-phase Scatter Search algorithm that minimizes the energy function. …"
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Blood Glucose Regulation Modelling and Intelligent Control حسب Nasar, Nabeel

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

"…Determining a protein’s structure is a challenging goal in structural bioinformatics, offering important insight towards understanding the function of a protein. …"
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Label dependency modeling in Multi-Label Naïve Bayes through input space expansion حسب PKA Chitra (21749216)

"…Our proposed methodology seeks to encapsulate and systematically represent label correlations within the learning framework. The innovation of improved multi-label Naïve Bayes (iMLNB) lies in its strategic expansion of the input space, which assimilates meta information derived from the label space, thereby engendering a composite input domain that encompasses both continuous and categorical variables. …"

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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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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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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Morphology for Planar Hexagonal Modular Self-Reconfigurable Robotic Systems حسب Sadjadi, Hossein

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

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

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

"…These algorithms include random forest (RF) classification and artificial neural networks (ANN). …"

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

"…The divergent_pF_p-2 series are then resummed via their representation in terms of the Meijer-G function. The choice of _pF_p-2 accelerates the convergence even with only weak-coupling information as input. …"

Autonomous 3D Deployment of Aerial Base Stations in Wireless Networks with User Mobility حسب Islambouli, Rania

"…We present performance results for the algorithm as a function of various system parameters assuming a random walk mobility model. …"
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Simulations of the penetration of 6061-T6511 aluminum targets by spherical-nosed VAR 4340 steel projectiles حسب Warren, Thomas

"…In this paper a forcing function which is derived from a spherical-cavity expansion (SCE) analysis has been implemented in a transient dynamic finite element code. …"
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Multi-Modal Emotion Aware System Based on Fusion of Speech and Brain Information حسب M. Ghoniem, Rania

"…For classifying unimodal data of either speech or EEG, a hybrid fuzzy c-means-genetic algorithm-neural network model is proposed, where its fitness function finds the optimal fuzzy cluster number reducing the classification error. …"
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On-demand deployment of multiple aerial base stations for traffic offloading and network recovery حسب Sharafeddine, Sanaa

"…We present performance results for the proposed algorithm as a function of various system parameters and demonstrate its effectiveness compared to the close-to-optimal greedy approach and its superiority compared to recent related work from the literature.…"
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Online Control and Optimization of Directional Drilling حسب unknown

"…The objective function considered is to minimize the tracking error and drilling efforts. …"
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