Search Results - (( sequence detection method algorithm ) OR ( parameter simulation based algorithm ))
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1
Reduced rank technique for joint channel estimation and joint data detection in TD-SCDMA systems
Published 2013“…We exploit the rank deficient of H to reduce the number of parameters that characterizes this matrix. The adopted reduced rank technique is based on singular value decomposition algorithm. …”
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2
Reduced Rank Technique for Joint Channel Estimation and Joint Data Detection in TD-SCDMA Systems
Published 2012“…We exploit the rank deficient of H to reduce the number of parameters that characterizes this matrix. The adopted reduced rank technique is based on singular value decomposition algorithm. …”
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3
Reduced-rank technique for joint channel estimation in TD-SCDMA systems.
Published 2013“…We exploit the rank deficient of H to reduce the number of parameters that characterizes this matrix. The adopted reduced rank technique is based on singular value decomposition algorithm. …”
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4
Development of new code for optical code division multiple access systems
Published 2011“…To overcome the stated problems, RD code families are used throughout this stage. Secondly, a new detection technique based on spectral direct detection is developed and compared to the reported detection techniques. …”
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5
Detection And Identification Of Stiction In Control Valves Based On Fuzzy Clustering Method
Published 2016“…After the presence of stiction has been detected, in order to mitigate stiction problem, it is necessary to estimate stiction parameters (quantification) in the earlier methods. …”
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6
Spectral texture segmentation of Magnetic Resonance Imaging (MRI) brain images for glioma brain tumour detection / Rosniza Roslan
Published 2013“…A new double thresholding algorithm and a fully automated multiple seed points selection algorithm that works on all three MRI image sequences are also proposed. …”
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7
Deep learning-based colorectal cancer classification using augmented and normalised gut microbiome data / Mwenge Mulenga
Published 2022“…Considering the limitations of existing methods for colorectal cancer detection, such as colonoscopy and faecal occult blood test, the medical research community has adopted the use of sequence data to identify the disease. …”
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8
Incremental learning for large-scale stream data and its application to cybersecurity
Published 2015“…To process large-scale data sequences, it is important to choose a suitable learning algorithm that is capable to learn in real time. …”
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9
A simulation based fly optimisation algorithm for swarms of mini autonomous surface vehicles application
Published 2011“…The optimal simulation parameters can be used for the real application. …”
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10
Face detection in image sequence / Noor Diana Abdullah
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11
Analysis of disturb coupling faults coverage by the March AZ2 algorithm in memory BIST
Published 2024“…Memory BIST is a method implemented on chips to test memories by executing a sequence of test operations defined by the applied test algorithm. …”
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Conference or Workshop Item -
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Blotch removal using multi-level scanning, shape analysis, and meta heuristic techniques
Published 2015“…Regarding the detection, a post processing method based on a combination of pixel-based and objects-based methods was proposed. …”
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13
Depth frame loss concealment for wireless transmission utilising motion detection information
Published 2014“…The proposed method is able to improve the quality of video in comparison with frame copy algorithm. …”
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14
Optimization of turning parameters using genetic algorithm method
Published 2008“…The simulation based on Genetic Algorithm are successful develop and the optimum parameters values are obtained from the simulation.…”
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Undergraduates Project Papers -
15
PSAT : a pairwise test data generation tool based on simulated annealing algorithm
Published 2015“…This research is about the research on developing a Pairwise Test Data Generation Tool based on Simulated Annealing (SA) algorithm which named as PSAT. …”
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16
Optimization of milling parameters using ant colony optimization
Published 2008“…The simulation based on ACO algorithm are successful develop and the optimization of parameters values is to maximize the production rate is obtain from the simulation.…”
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17
The Implementation of a Machine Learning-based Routing Algorithm in a Lab-Scale Testbed
Published 2024Subjects:Conference Paper -
18
Particle swarm optimization with deep learning for human action recognition
Published 2021“…Also, the current motion target detection algorithms extract features from the relevant object only if the moving object has complex texture features. …”
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An accurate algorithm of PMU-based wide area measurements for fault detection using positive-sequence voltage and unwrapped dynamic angles
Published 2022“…The aim is to allow accurate action-based performance for analysts in monitoring the transmission lines so that rapid actions can be taken during abnormal circumstances before the blackout occurs. Among different algorithms, this study focuses on modelling the non- recursive phasor estimation method in a power Simulink environment for a standard test system equipped with a developed algorithm to detect the fault zone. …”
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Design and analysis of high performance matrix filling for DNA sequence alignment accelerator using asic design flow: article / Nurzaima Mahmod
“…The scope of this paper is to optimize the DNA sequences alignment on the matrix rilling module by implementing a parallel method of the Smith-Waterman algorithm. …”
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