Search Results - (( java implication based algorithm ) OR ( knowledge segmentation model algorithm ))

Fuzzy modeling of brain tissues in Bayesian segmentation of brain MR images by Farzan, Ali, Ramli, Abdul Rahman, Mashohor, Syamsiah, Mahmud, Rozi

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A Reinforced Active Learning Algorithm for Semantic Segmentation in Complex Imaging by Usmani, U.A., Watada, J., Jaafar, J., Aziz, I.A., Roy, A.

“…The decision on the area of selection is dependent on the assumptions and segmentation model uncertainties taken for training purposes. …”
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Determination of tree height based on tree crown using algorithm derived from UAV imagery / Suzanah Abdullah ... [et al.] by Abdullah, Suzanah, Tahar, Khairul Nizam, Abdul Rashid, Mohd Fadzil, Osoman, Muhammad Ariffin

“…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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Malay continuous speech recognition using continuous density hidden Markov model by Ting, Chee Ming

“…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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A feature-based approach for segmenting faces by Zaqout, I., Zainuddin, R., Baba, S.

“…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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Coronary artery segmentation in angiograms with pattern recognition techniques - a survey by Tayebi, Rohollah Moosavi, Sulaiman, Puteri Suhaiza, O. K. Rahmat, Rahmita Wirza, Dimon, Mohd Zamrin, Kadiman, Suhaini, Abdullah, Lilly Nurliyana, Mazaheri, Samaneh

“…Coronary artery segmentation algorithm in angiograms is a fundamental component of each cardiac image processing system. …”
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Segmenting microcalcifications using enhanced distance active contour (EDAC) / Siti Salmah Yasiran by Yasiran, Siti Salmah

“…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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Automated Detection and Classification of Retinal Vein Occlusion Using Ultra-widefield Retinal Fundus Images and Transfer Learning by Ivy Ong Siaw Yin, Ong

“…The approach seeks to utilise knowledge from pretraining to enhance the performance of the segmentation model. …”
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Hyper-heuristic approaches for data stream-based iIntrusion detection in the Internet of Things by Hadi, Ahmed Adnan

“…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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A detailed description on unsupervised heterogeneous anomaly based intrusion detection framework by Udzir, Nur Izura, Hajamydeen, Asif Iqbal

“…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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Segmenting the right ventricle cavity from 4D echocardiography images for stroke volume measurement by Abboud, Anas A.

“…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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The implications for ahybrid detection technique against malicious sqlattacks on web applications by Bahjat Arif, Sarajaldeen Akram, Wani, Sharyar

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Analysis Of Failure In Offline English Alphabet Recognition With Data Mining Approach by Munnian, Ruthrakumar

“…However, these approaches involve complex algorithms and require voluminous dataset as the training model. …”
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EEG-based biometric authentication modelling using incremental fuzzy-rough nearest neighbour technique by Liew, Siaw Hong, Choo, Yun Huoy, Low, Yin Fen, Zeratul I., Mohd Yusoh

“…Signal pre-processingsteps on segmentation, filtering and artefact rejection were carried out to improve the data quality before model building. …”
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Evaluating endpoint detection algorithms for isolated word from Malay parliamentary speech by Seman N., Bakar Z.A., Bakar N.A., Mohamed H.F., Abdullah N.A.S., Ramakrisnan P., Ahmad S.M.S.

Computed tomography and echocardiography image fusion technique for cardiac images by Kalahroodi, Samaneh Mazaheri

“…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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Estimating tree height based on tree crown from UAV imagery / Suzanah Abdullah ... [et al.] by Abdullah, Suzanah, Tahar, Khairul Nizam, Abdul Rashid, Mohd Fadzil, Osoman, Muhammad Ariffin

“…As a conclusion, this study has contributed to the knowledge extension in this area and presented the result of the tree height values according to the segmentation algorithm at the different flying height data.…”
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EEG-Based Biometric Authentication Modelling Using Incremental Fuzzy-Rough Nearest Neighbour Technique by Liew, Siaw Hong, Choo, Yun Huoy, Yin, Fen Low, Mohd Yusoh, Zeratul Izzah

“…Signal pre-processing steps on segmentation, filtering and artefact rejection were carried out to improve the data quality before model building. …”
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Data stream clustering by divide and conquer approach based on vector model by Khalilian, Madjid, Mustapha, Norwati, Sulaiman, Nasir

“…The continuous effort on data stream clustering method has one common goal which is to achieve an accurate clustering algorithm. However, there are some issues that are overlooked by the previous works in proposing data stream clustering solutions; (1) clustering dataset including big segments of repetitive data, (2) monitoring clustering structure for ordinal data streams and (3) determining important parameters such as k number of exact clusters in stream of data. …”
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Digital Quran With Storage Optimization Through Duplication Handling And Compressed Sparse Matrix Method by Ashraf Saleh Mohammad Alomoush