بدائل البحث:
method algorithm » mould algorithm (توسيع البحث)
data tracking » radar tracking (توسيع البحث)
data finding » data mining (توسيع البحث), data hiding (توسيع البحث)
method algorithm » mould algorithm (توسيع البحث)
data tracking » radar tracking (توسيع البحث)
data finding » data mining (توسيع البحث), data hiding (توسيع البحث)
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Monitoring Bone Density Using Microwave Tomography of Human Legs: A Numerical Feasibility Study
منشور في 2021"…This study was performed using an in-house finite-element method contrast source inversion algorithm (FEM-CSI). …"
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Orthogonal Learning Rosenbrock’s Direct Rotation with the Gazelle Optimization Algorithm for Global Optimization
منشور في 2022"…An efficient optimization method is needed to address complicated problems and find optimal solutions. The gazelle optimization algorithm (GOA) is a global stochastic optimizer that is straightforward to comprehend and has powerful search capabilities. …"
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Design of an innovative and self-adaptive-smart algorithm to investigate the structural integrity of a rail track using Rayleigh waves emitted and sensed by a fully non-contact las...
منشور في 2020"…The functioning of the algorithm was successfully tested by carrying out extensive experiments on a real rail track in the presence of different types of surface and sub-surface defects on its head and web. …"
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Design of adaptive arrays based on element position perturbations
منشور في 1993"…The main advantage of using this technique over the other commonly used methods is that the amplitudes and phases of the array elements can be used mainly to steer the main beam towards the desired signal. …"
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Scalable Nonparametric Supervised Learning for Streaming and Massive Data: Applications in Healthcare Monitoring and Credit Risk
منشور في 2025"…Additionally, an online classifier is developed for streaming data, combining online PCA with a kernel-based recursive classifier using a stochastic approximation algorithm. …"
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Lagrangian tracking in stochastic fields with application to an ensemble of velocity fields in the Red Sea
منشور في 2018"…Lagrangian tracking of passive tracers in a stochastic velocity field within a sequential ensemble data assimilation framework is challenging due to the exponential growth in the number of particles. …"
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The Use of Microwave Tomography in Bone Healing Monitoring
منشور في 2019احصل على النص الكامل
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A Novel Internal Model Control Scheme for Adaptive Tracking of Nonlinear Dynamic Plants
منشور في 2006"…The U-model utilizes only past data for plant modelling and standard root solving algorithm for control law formulation. …"
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Data Generation for Path Testing
منشور في 2004احصل على النص الكامل
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Bee Colony Algorithm for Proctors Assignment.
منشور في 2015"…This problem is intractable, and hence, heuristics algorithms are needed to find good solutions. In this paper, we propose a new solution for the proctor assignment problem based on the Bee Colony meta-heuristic algorithm. …"
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A kernelization algorithm for d-Hitting Set
منشور في 2010"…For 3-Hitting Set, an arbitrary instance is reduced into an equivalent one that contains at most 5k2+k elements. This kernelization is an improvement over previously known methods that guarantee cubic-order kernels. …"
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Parallel genetic algorithm for disease-gene association
منشور في 2011"…In this work, we combine few successful strategies from the literature and present a parallel genetic algorithm for the Tag SNP Selection problem. Our results compared favorably with those of a recognized tag SNP selection algorithm using three different data sets from the HapMap project.…"
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The Effects of Data Mining on Small Businesses in Dubai
منشور في 2011"…This study was conducted with the aim of finding the benefits of data mining on small businesses and specifically on the real estate sector in Dubai, and the criteria to be used when evaluating and selecting the best tools to consider for such businesses. …"
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A SIMULATED ANNEALING ALGORITHM FOR THE CLUSTERING PROBLEM
منشور في 2020"…We also find optimal parameters values for a specific class of data sets and give recommendations on the choice of parameters for general data sets. …"
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article