Search Results - (( java implementation modified algorithm ) OR ( knowledge segmentation models algorithm ))
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1
Fuzzy modeling of brain tissues in Bayesian segmentation of brain MR images
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2
Direct approach for mining association rules from structured XML data
Published 2012“…The thesis also provides a two different implementation of the modified FLEX algorithm using a java based parsers and XQuery implementation. …”
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3
OPTIMIZED MIN-MIN TASK SCHEDULING ALGORITHM FOR SCIENTIFIC WORKFLOWS IN A CLOUD ENVIRONMENT
Published 2023“…To achieve this, we propose a new noble mechanism called Optimized Min-Min (OMin-Min) algorithm, inspired by the Min-Min algorithm. The objectives of this work are: i) to provide a comprehensive review of the cloud and scheduling process; ii) to classify the scheduling strategies and scientific workflows; iii) to implement our proposed algorithm with various scheduling algorithms (i.e., Min-Min, Round-Robin, Max-Min, and Modified Max-Min) for performance comparison, within different cloudlet sizes (i.e., small, medium, large, and heavy) in three scientific workflows (i.e., Montage, Epigenomics, and SIPHT); and iv) to investigate the performance of the implemented algorithms by using CloudSim. …”
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4
A Reinforced Active Learning Algorithm for Semantic Segmentation in Complex Imaging
Published 2021“…The decision on the area of selection is dependent on the assumptions and segmentation model uncertainties taken for training purposes. …”
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5
Determination of tree height based on tree crown using algorithm derived from UAV imagery / Suzanah Abdullah ... [et al.]
Published 2021“…The single tree crown was obtained from the digital surface model by using four algorithms such as watershed segmentation, object based image analysis, inverse watershed segmentation and seed generation. …”
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6
Malay continuous speech recognition using continuous density hidden Markov model
Published 2007“…HMM is a robust and powerful technique capable of modeling of speech signals. With their efficient training algorithm (Baum-Welch and Viterbi/Segmental K-mean) and recognition algorithm (Viterbi), as well as it’s modeling flexibility in model topology, observation probability distribution, representation of speech unit and other knowledge sources, HMM has been successfully applied in solving various tasks in this thesis. …”
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7
A feature-based approach for segmenting faces
Published 2004“…We identify that the key factor in a generic and robust system is that of using a large amount of image evidence, related and reinforced by model knowledge through a probabilistic framework. …”
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8
Prevention And Detection Mechanism For Security In Passive Rfid System
Published 2013“…The proposed protocol is designed with lightweight cryptographic algorithm, including XOR, Hamming distance, rotation and a modified linear congruential generator (MLCG). …”
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9
Automatic generation of content security policy to mitigate cross site scripting
Published 2016“…It can be extended to support generating CSP for contents that are modified by JavaScript after loading. Current approach inspects the static contents of URLs.…”
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10
Coronary artery segmentation in angiograms with pattern recognition techniques - a survey
Published 2013“…Coronary artery segmentation algorithm in angiograms is a fundamental component of each cardiac image processing system. …”
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11
Segmenting microcalcifications using enhanced distance active contour (EDAC) / Siti Salmah Yasiran
Published 2010“…This study sets out to explore the Active Contour models to segment object boundaries using the Distance Active Contour (DAC) method. …”
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12
Automated Detection and Classification of Retinal Vein Occlusion Using Ultra-widefield Retinal Fundus Images and Transfer Learning
Published 2024“…The approach seeks to utilise knowledge from pretraining to enhance the performance of the segmentation model. …”
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13
Hyper-heuristic approaches for data stream-based iIntrusion detection in the Internet of Things
Published 2022“…Existing literature relies on offline trained models or incremental learning models. The former suffers from partially or fully outdated knowledge after drift occurrence, and the latter suffers from the constraints of the pre-defined hyper-parameter of the model. …”
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14
A detailed description on unsupervised heterogeneous anomaly based intrusion detection framework
Published 2019“…More effort has been taken in utilizing the data mining and machine learning algorithms to construct anomaly based intrusion detection systems, but the dependency on the learned models that were built based on earlier network behaviour still exists, which restricts those methods in detecting new or unknown intrusions. …”
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15
Segmenting the right ventricle cavity from 4D echocardiography images for stroke volume measurement
Published 2014“…Comparisons of the segmentation, End-Diastolic and End-Systolic stages, stroke volume and the reconstructed 3D model; are provided with currently available software for left ventricle volume, function assessment and 3D modelling to validate the merit of the proposed work. …”
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16
Analysis Of Failure In Offline English Alphabet Recognition With Data Mining Approach
Published 2019“…However, these approaches involve complex algorithms and require voluminous dataset as the training model. …”
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17
Adaptive persistence layer for synchronous replication (PLSR) in heterogeneous system
Published 2011“…The PLSR architecture model, workflow and algorithms are described. The PLSR has been developed using Java Programming language. …”
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18
EEG-based biometric authentication modelling using incremental fuzzy-rough nearest neighbour technique
Published 2018“…Signal pre-processingsteps on segmentation, filtering and artefact rejection were carried out to improve the data quality before model building. …”
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19
Evaluating endpoint detection algorithms for isolated word from Malay parliamentary speech
Published 2023Conference paper -
20
Computed tomography and echocardiography image fusion technique for cardiac images
Published 2016“…It is a new geometrically level Set algorithm for the segmentation of the endocardial contours in echocardiographic images in presence of intensity non-uniformity. …”
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