Search Results - (( developing special pattern algorithm ) OR ( java implication based algorithm ))
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Prime-based method for interactive mining of frequent patterns
Published 2010“…Over the past decade, an increasing number of efficient mining algorithms have been proposed to mine the frequent patterns by satisfying a user specified threshold called minimum support (minsup). …”
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Thesis -
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The Development Of Planar Curves With High Aesthetic Value
Published 2010“…The pattern of research in this ¯eld of study has branched to ¯ve major groups; the devel- opment of fairing algorithms; the development of planar curves via curve synthesis, the development of algorithms to modify natural spirals to suit design intent, the modi¯cation of °exible curves (B¶ezier and NURBS) so that the curvature pro¯le is strictly monotonic and ¯nally, the development of algorithms to ¯t natural spirals and approximation via °exible curves.…”
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Rule-based filtering algorithm for textual document
Published 2017“…Improper filtration might cause terms that have similar meaning to be removed.Thus, to reduce the high-dimensionality of text, this study proposed a filtering algorithm that is able to filter the important terms from the pre-processed text and applied term weighting scheme to solve synonym problem which will help the selection of relevant term.The proposed filtering algorithm utilizes a keyword library that contained special terms which is developed to ensure that important terms are not eliminated during filtration process.The performance of the proposed filtering algorithm is compared with rough set attribute reduction (RSAR) and information retrieval (IR) approaches.From the experiment, the proposed filtering algorithm has outperformed both RSAR and IR in terms of extracted relevant terms.…”
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A Hybrid Rough Sets K-Means Vector Quantization Model For Neural Networks Based Arabic Speech Recognition
Published 2002“…A vector quantization model that incorporate rough sets attribute reduction and rules generation with a modified version of the K-means clustering algorithm was developed, implemented and tested as a part of a speech recognition framework, in which the Learning Vector Quantization (LVQ) neural network model was used in the pattern matching stage. …”
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A new classification model for online predicting users' future movements
Published 2008“…For this reason some techniques have been developed for predicting user’s future requests. Data manning algorithms can be applied to many prediction problems. …”
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Conference or Workshop Item -
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An ensemble learning method for spam email detection system based on metaheuristic algorithms
Published 2015“…Recently, various techniques based on different algorithms have been developed. However, the classification accuracy and computational cost are not satisfied. …”
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Digital Quran With Storage Optimization Through Duplication Handling And Compressed Sparse Matrix Method
Published 2024thesis::doctoral thesis -
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Handwritten character recognition system for online learning using Recurrent Neural Network (RNN) / Nur Nabilah Shafiqah Rosli
Published 2022“…The purpose of this research to develop handwritten character recognition system by using Recurrent Neural Network (RNN) algorithm. …”
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Student Project -
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Multi-array sensorised pillowcase as call detection alarm system for in ward tetraplegic patient / Normazlianita Mohamad Alias
Published 2021“…This feature makes it suitable to detect the pattern of head movement and hence a call bell for patients with special needs.…”
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Optimizing the SEIRD model for COVID-19 in Malaysia using pymoo framework
Published 2025“…Recently, two specialized compartmental epidemiological models; the modified SIRD and SEIRD were developed to study COVID-19 in Malaysia, with their validity tested by fitting them to actual data. …”
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Performance Analysis of Advanced Encryption Standards for Voice Cryptography with Multiple Patterns
Published 2025“…This work will be exploited in our upcoming research to enhance AES performance by developing new encryption algorithm. ? 2024 The authors.…”
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Artificial neural networks in image processing for early detection of breast cancer
Published 2017“…Despite the large number of publications that describe the utilization of NN in various medical techniques, only a few reviews are available that guide the development of these algorithms to enhance the detection techniques with respect to specificity and sensitivity. …”
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Efficient radio resource management algorithms for downlink long term evolution networks
Published 2018“…Hence, the major problem is developing a scheduling algorithm which creates a trade-off between the system performances. …”
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Watermarking technique based on ISB (Intermediate Significant Bit)
Published 2010“…It inserts a perceptually transparent pattern called watermark in an image called host or cover using an embedding algorithm. …”
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Proceeding Paper -
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