Search Results - ((((_ algorithm) OR ((((batch OR buat) algorithm) OR (based algorithm))))) OR (matching algorithm))
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1
A genetic similarity algorithm for searching the Gene Ontology terms and annotating anonymous protein sequences
Published 2008“…The genetic similarity algorithm is implemented in the Gene Ontology browser named basic UTMGO to overcome the weaknesses of the existing Gene Ontology browsers which use a conventional approach based on keyword matching. …”
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2
Incorporating semantic similarity measure in genetic algorithm: an approach for searching the gene ontology terms
Published 2007“…The semantic similarity measure is used to compute similitude strength between two terms.Then, the genetic algorithm is employed to perform batch retrievals and to handle the situation of the large search space of the Gene Ontology graph. …”
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Parallel batch self-organizing map on graphics processing unit using CUDA
Published 2018“…Hence, the purpose of this paper is to propose a GPU parallelization model and implementation for the Batch-SOM using CUDA. The most computationally expensive parts of its training algorithm (such as steps to compute distance between each data vector and neuron, and determining the Best Matching Unit based on minimum distance) are identified and mapped on GPU to be processed in parallel. …”
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4
Parallel batch self-organizing map on graphics processing unit using CUDA
Published 2018“…Hence, the purpose of this paper is to propose a GPU parallelization model and implementation for the Batch-SOM using CUDA. The most computationally expensive parts of its training algorithm (such as steps to compute distance between each data vector and neuron, and determining the Best Matching Unit based on minimum distance) are identified and mapped on GPU to be processed in parallel. …”
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5
Block based motion vector estimation using fuhs16 uhds16 and uhds8 algorithms for video sequence
Published 2011“…There are several block-matching algorithm based on block-based motion estimation techniques have been developed. …”
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Book Chapter -
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Image Template Matching Based on Simulated Kalman Filter (SKF) Algorithm
Published 2018“…A novel approach to the image matching based on Simulated Kalman Filter (SKF) algorithm has been proposed in this paper. …”
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8
Performance analysis of coalition formation algorithms based on matching theory for cognitive radio networks
Published 2017“…For coalition formation using matching theory, we analyze two algorithms, namely Gale-Shapely algorithm and one-sided stable matching algorithm. …”
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Proceeding Paper -
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Stereo matching algorithm based on hybrid convolutional neural network and directional intensity difference
Published 2021“…Hence, this article proposes a new stereo matching algorithm based on a hybrid Convolutional Neural Network (CNN) combined with directional intensity differences at the matching cost stage. …”
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Simulated kalman filter (SKF) based image template matching for distance measurement by using stereo vision system
Published 2018“…By implementing optimization algorithm in image template matching, it is expected that the computation time can be reduced. …”
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Thesis -
11
GPU-based odd and even hybrid string matching algorithm
Published 2016“…Experimental results indicate that the performance of the hybrid string matching algorithms has been improved, and the speedup, which has been obtained, is considerable enough to suggest the GPU as the suitable platform for these hybrid string-matching algorithms.…”
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Conference or Workshop Item -
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Development Of Stereo-Matching Algorithm Based On Adaptive Weighted Prediction
Published 2019“…Therefore, to overcome the causes of effected accuracy, new Stereo Matching Algorithm (SMA) based on Adaptive Weighted Bilateral Filter (AWBF) was introduced together with characterize the SMA based on quantitative and qualitative measurements and produced SMA performance were evaluate using standard taxonomy of SM. …”
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13
Development of images segmentation using image thresholder and batch processing technique on the blood smears
Published 2022“…A new segmentation technique with each pixel in the image has its own threshold is developed in response to the fact that standard threshold-based segmentation algorithms only establish one or many thresholds, making it difficult to extract the complex information in an image. …”
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Optimisation of fed-batch fermentation process using deep reinforcement learning
Published 2023“…In conclusion, a deep reinforcement learning algorithm was successfully developed for the substrate feeding rate optimisation in the fed-batch baker’s yeast fermentation process. …”
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Thesis -
15
Development Of Double Stage Filter (DSF) On Stereo Matching Algorithm For 3D Computer Vision Applications
Published 2016“…Based on the results of evaluations, the results obtained by DSF is better than the algorithms, basic block matching and dynamic programming.…”
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Thesis -
16
Application of swarm intelligence optimization on bio-process problems / Mohamad Zihin Mohd Zain
Published 2018“…Multi-objective optimization problems are also addressed by proposing a modified multi-criterion optimization algorithm based on a Pareto-based Particle Swarm Optimization (PSO) algorithm called Multi-Objective Particle Swarm Optimization (MOPSO). …”
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Steg Analysis Algorithm for Edge Adaptive Least Significant Bit Matching Revisited Detection
Published 2014“…Edge Adaptive Least significant bit Matching Revisited(EALMR) steganography algorithm is high safety spatial domain information hiding technique which can choose embedding area based on the image context. …”
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A Novel Map-matching Algorithm to Improve Vehicle Tracking System Accuracy
Published 2008“…The curve-to-curve matching algorithms measure the similarity between the track and possible road path. …”
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Disparity map algorithm for stereo matching process using local based method
Published 2022“…The proposed SVDM algorithm involves four stages which starts from matching cost computation. …”
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Thesis -
20
Text searching algorithm using boyer moore horspool (BMH) algorithm
Published 2015“…Based on the study, the average analysis result for this algorithm is 93% which is a strong match.…”
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Undergraduates Project Papers
