Search Results - (( parameter extraction via algorithm ) OR ( parallel estimation sensor algorithm ))
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Image reconstruction using iterative transpose algorithm for optical tomography
Published 2007“…The measurement system consisted of two orthogonal arrays, each having ten parallel views, resulting in a total of twenty sensors. …”
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Characterization of PV panel and global optimization of its model parameters using genetic algorithm
Published 2013“…This paper details an improved modeling technique for a photovoltaic (PV) module; utilizing the optimization ability of a genetic algorithm, with different parameters of the PV module being computed via this approach. …”
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Characterization of PV panel and global optimization of its model parameters using genetic algorithm
Published 2023“…This paper details an improved modeling technique for a photovoltaic (PV) module; utilizing the optimization ability of a genetic algorithm, with different parameters of the PV module being computed via this approach. …”
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Simulated kalman filter (SKF) based image template matching for distance measurement by using stereo vision system
Published 2018“…Stereo vision sensor consists of two stereo cameras, mounted parallel in stationary position. …”
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Multi-response optimization and neural network modeling for parameter precision in heat reflux extraction of spice oleoresins from two pepper cultivars (Piper nigrum)
Published 2017“…These extraction parameters were employed to optimize the extraction yield and absorbed energy via Taguchi methodology. …”
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Estimation Of Weibull Parameters Using Simulated Annealing As Applied In Financial Data
Published 2023“…Additionally, the two-parameter Weibull distribution has been extended by incorporating additional parameters to capture the uncertainty behaviour in the financial data.…”
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Estimation of core size distribution of magnetic nanoparticles using high-Tc SQUID magnetometer and particle swarm optimizer-based inversion technique
Published 2023“…In this work, the core size estimation technique of magnetic nanoparticles (MNPs) using the static magnetization curve obtained from a high-Tc SQUID magnetometer and a metaheuristic inversion technique based on the Particle Swarm Optimizer (PSO) algorithm is presented. …”
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Smart diagnosis of long bone tumor / Mazni Parimin
Published 2005“…Here, backpropagation training algorithm will be used and network parameters will be set. …”
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Black hole algorithm along edge detector and circular hough transform based iris projection with biometric identification systems
Published 2024“…The procedure of extracting the iris region from an eye image using circular parameters can be improved via approximately too many approaches in literature but remain some portions under slightly unconstrained circumstances. …”
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Differentiating Agarwood Oil Quality Using Artificial Neural Network
Published 2013“…The ANN programming algorithm was developed and computed automatically via Matlab software version R2010a. …”
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Solar Photovoltaic Maximum Power Point Tracking via Predictive Technique
Published 2022“…Apart from that, DC-DC boost converter would be the intermediate in developing the algorithm to the system. The extraction of the maximum output power can be achieved through this mechanism. …”
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Final Year Project Report / IMRAD -
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Application of artificial neural network in discriminating the agarwood oil quality using significant chemical compounds / Mohd Hezri Fazalul Rahiman … [et al.]
Published 2014“…The ANN programming algorithm was developed and computed automatically via Matlab software version R2010a. …”
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Algorithm Development of Bidirectional Agglomerative Hierarchical Clustering Using AVL Tree with Visualization
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Improvement on rooftop classification of worldview-3 imagery using object-based image analysis
Published 2019“…The result presents that the Ant-Search algorithm via LibSVM was determined as the best combination with 100% accuracy. …”
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Steganalysis: Detecting Existence of File Types Embedded in Grey Scale Image
Published 2008“…Active steganalysis is presented as ways to expose the possibility of detecting existence of hidden messages, hence defeating steganography. Estimating some parameters of embedding algorithm is the approach that the study used since secret message is one of its essential parameters. …”
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The formulation of a transfer learning pipeline for the classification of the wafer defects
Published 2023“…Thus, this study will aim to explore 17 types of TL models, and classify the features extracted using 3 different ML algorithms, namely Support Vector Machine (SVM), k-Nearest Neighbor (kNN) and Random Forest (RF). …”
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