Search Results - (( using function matching algorithm ) OR ( using optimization _ algorithm ))
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1
A Study On The Application Of Gravitational Search Algorithm In Optimizing Stereo Matching Algorithm’s Parameters For Star Fruit Inspection System
Published 2018“…The hardware for the inspection system is built by CvviP from Universiti Teknologi Malaysia using only single camera. The implemented Stereo Matching Algorithm used on the system comes from the built-in Matlab library. …”
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2
Assisted History Matching by Using Genetic Algorithm and Discrete Cosine Transform
Published 2014“…Then the proposed algorithm for DCT and GA can be applied to the history matching problem. …”
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Final Year Project -
3
A new function of stereo matching algorithm based on hybrid convolutional neural network
Published 2022“…The winner-take-all (WTA) optimization uses the aggregated cost volume to produce an initial disparity map. …”
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4
Application of Particle Swarm Optimization in Optimizing Stereo Matching Algorithm’s Parameters for Star Fruit Inspection System
Published 2014“…This paper reports the finding of the experimentation of the Particle Swarm Optimization in optimizing the stereo matching algorithm’s parameters for the star fruit inspection system. …”
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5
Novel distributed algorithm for coalition formation in cognitive radio networks for throughput enhancement using matching theory
Published 2017“…The coalitions formed using the algorithm are stable and do not deviate from the final matching. …”
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6
Medical Image Analysis Using Deep Learning and Distribution Pattern Matching Algorithm
Published 2023Article -
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Malay cuisine cooking recipe recommendation system using Genetic Algorithm (GA) / Nur Nazihah Ismail
Published 2017“…For this recommendation system, Genetic Algorithm (GA) is used as a technique to find the optimal results. …”
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Student Project -
8
Novel distributed algorithm for coalition formation for enhanced spectrum sensing in cognitive radio networks
Published 2017“…The coalitions formed using the algorithm are stable and do not deviate from the final matching. …”
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9
Disparity map algorithm for stereo matching process using local based method
Published 2022“…Global method performs a matching process using global energy or a probability function over the whole image. …”
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10
Hybrid Artificial Bees Colony Algorithms For Optimizing Carbon Nanotubes Characteristics
Published 2018“…Optimization is a crucial process to select the best parameters in single and multi-objective problems for manufacturing process.However,it is difficult to find an optimization algorithm that obtain the global optimum for every optimization problem.Artificial Bees Colony (ABC) is a well-known swarm intelligence algorithm in solving optimization problems.It has noticeably shown better performance compared to the state-of-art algorithms.This study proposes a novel hybrid ABC algorithm with β-Hill Climbing (βHC) technique (ABC-βHC) in order to enhance the exploitation and exploration process of the ABC in optimizing carbon nanotubes (CNTs) characteristics.CNTs are widely used in electronic and mechanical products due to its fascinating material with extraordinary mechanical,thermal,physical and electrical properties. …”
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11
Comparison between Lamarckian Evolution and Baldwin Evolution of neural network
Published 2006“…Hybrid genetic algorithms are the combination of learning algorithms(Back propagation), usually working as evaluation functions, and genetic algorithms. …”
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12
Stereo matching algorithm using census transform and segment tree for depth estimation
Published 2023“…This article proposes an algorithm for stereo matching corresponding process that will be used in many applications such as augmented reality, autonomous vehicle navigation and surface reconstruction. …”
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13
Combining Recursive Least Square and Principal Component Analysis for Assisted History Matching
Published 2014“…Forward model was also involved in the process of defining the objective function. Next, using simulated data together with historical data, objective function will be computed. …”
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Final Year Project -
14
Iterative And Single-Step Solutions Of Two Dimensional Time-Domain Inverse Scattering Problem Featuring Ultra Wide Band Sensors
Published 2010“…Finally, the algorithms‘ robustness against the noisy data was evaluated using two simulated experiments with signal-to-noise ratios of 6 and 8 dB respectively.…”
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15
Dissimilarity algorithm on conceptual graphs to mine text outliers
Published 2009“…In Comparison to other text outlier detection method, this approach managed to capture the semantics of documents through the use of CGs and is convenient to detect outliers through a simple dissimilarity function.Furthermore, our proposed algorithm retains a linear complexity with the increasing number of CGs.…”
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Conference or Workshop Item -
16
Artificial neural network and inverse solution method for assisted history matching of a reservoir model
Published 2017“…This allows to directly simulate the trained neural network and avoid the use of objective function and optimization algorithm. …”
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17
Assisted History Matching by Using Recursive Least Square and Discrete Cosine Transform
Published 2014“…From the result, the combination of RLS and DCT are successful and can be used for history matching purpose.…”
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Final Year Project -
18
Matching final year project topics with students using stable marriage model / Naimah Mohd Hussin and Ammar Azlan
Published 2017“…The researcher is motivated to solve this long overdue problem by applying a stable marriage model that is introduced by Gale and Shapley hence the name Gale-Shapley Algorithm. To determine the functionality of this approach, a system prototype has been constructed and a random dataset is used. …”
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19
Speech processing for makhraj recognition (design adaptive filter for noise removal)
Published 2010“…Filter Design Toolbox provides many adaptive filter design functions that use the LMS algorithms to search for the optimal solution to adaptive filter, including system identification and noise cancellation. …”
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Undergraduates Project Papers -
20
Optimization of coded signals based on wavelet neural network
Published 2015“…Each hidden layer uses Morlet function as activation function. WNN is a new class of network that combines the classic sigmoid neural network and wavelet analysis. …”
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