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261
Shuffled Linear Regression with Erroneous Observations
Published 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 -
262
Application of Metastructures for Targeted Low-Frequency Vibration Suppression in Plates
Published 2022“…Two case studies are considered, and the fitness function used in the optimization problem is the plate’s root mean square of vibration in a specific low-frequency range. …”
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263
New primitives to AOP weaving capabilities for security hardening concerns
Published 2007“…These primitives are called exportParameter and importParameter and are used to pass parameters between two point cuts. They allow to analyze a program’s call graph in order to determine how to change function signatures for the passing of parameters associated with a given security hardening. …”
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conferenceObject -
264
Singularly perturbed nonlinear ODEs and interior point optimizationalgorithms
Published 1995“…In addition, this connection is used to show that the logarithmic barrier function is indeed, in some sense, optimum…”
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265
Fragment based protein structure prediction. (c2013)
Published 2016“…In addition, it demonstrates the advantage of using the CHARMM36 energy model. The method is based on a two-phase Scatter Search metaheuristic that minimizes the energy function. …”
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masterThesis -
266
Optimal shunt compensators at nonsinusoidal busbars
Published 1995“…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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article -
267
Fast force-directed/simulated evolution hybrid for multiobjective VLSI cell placement
Published 2004“…In this work, a fast hybrid algorithm is designed to address this problem. …”
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268
Real-Time Implementation of GPS Aided Low Cost Strapdown Inertial Navigation System
Published 2009Get full text
doctoralThesis -
269
Multi Agent Reinforcement Learning Approach for Autonomous Fleet Management
Published 2019Get full text
doctoralThesis -
270
OPTIMAL SHUNT COMPENSATORS AT NON-SINUSOIDAL BUSBARS
Published 2020“…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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271
CFD Based Airfoil Shape Optimization for Aerodynamic Drag Reduction
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doctoralThesis -
272
Autonomous 3D Deployment of Aerial Base Stations in Wireless Networks with User Mobility
Published 2019“…We present performance results for the algorithm as a function of various system parameters assuming a random walk mobility model. …”
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conferenceObject -
273
Axes-Based Encryption Key
Published 2018“…This paper introduces a new approach in cryptography based on the distribution of data using an x-y key function. …”
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conferenceObject -
274
Optimizing clopidogrel dose response
Published 2016“…The aim of the study is to investigate the cumulative effect of CYP2C19 gene polymorphisms and drug interactions that affects clopidogrel dosing, and apply it into a new clinical-pharmacogenetic algorithm that can be used by clinicians in optimizing clopidogrel-based treatment. …”
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article -
275
Performance Analysis of Artificial Neural Networks in Forecasting Financial Time Series
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doctoralThesis -
276
Optimization metaheuristic for software testing
Published 2013“…We formulate the web application testing problem as an optimization problem and use a simulated annealing (SA) metaheuristic algorithm to generate test cases as sequences of events while keeping the test suite size reasonable. …”
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conferenceObject -
277
Online Control and Optimization of Directional Drilling
Published 2020“…A proposed mass spring system was used to represent the phenomena of stick-slip oscillation. …”
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masterThesis -
278
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279
Heuristics for graph decomposition
Published 2000“…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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conferenceObject -
280
Diagnostic structure of visual robotic inundated systems with fuzzy clustering membership correlation
Published 2023“…Additionally, a clustering algorithm with a fuzzy membership function is implemented, allowing the robots to advance in accordance with predefined clusters and arrive at their starting place within a predetermined amount of time. …”