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Using the bees algorithm to optimise a support vector machine for wood defect classification
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Conference or Workshop Item -
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Block based motion vector estimation using fuhs16 uhds16 and uhds8 algorithms for video sequence
Published 2011“…For example, in video compression, the use of motion vectors on individual macro-blocks optimized the motion vector information. …”
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Book Chapter -
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Binary Coati Optimization Algorithm- Multi- Kernel Least Square Support Vector Machine-Extreme Learning Machine Model (BCOA-MKLSSVM-ELM): A New Hybrid Machine Learning Model for Pr...
Published 2024“…This paper�s novelty includes introducing a new method for selecting inputs and developing a new model for predicting water levels. …”
Article -
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Artificial intelligent power prediction for efficient resource management of WCDMA mobile network
Published 2023“…Estimation of the unknown function is implemented with support vector regression (SVR). The output of SVR will be used by WCDMA mobile network to decide on new service admission. …”
Conference Paper -
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Named entity recognition using a new fuzzy support vector machine.
Published 2008“…Some of the Machine learning algorithms used in NER methods are, support vector machine(SVM), Hidden Markov Model, Maximum Entropy Model (MEM) and Decision Tree. …”
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Face recognition using eigenfaces and smooth support vector machine
Published 2011“…Face is one of the unique features of human body which has complicated characteristic.Facial features (eyes, nose, and mouth) can be used for face recognition. Support Vector Machine (SVM) is a new algorithm of data mining technique, recently received increasing popularity in machine learning community. …”
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Thesis -
9
Face recognition using eigenfaces and smooth support vector machine
Published 2011“…Face is one of the unique features of human body which has complicated characteristic.Facial features (eyes, nose, and mouth) can be used for face recognition. Support Vector Machine (SVM) is a new algorithm of data mining technique, recently received increasing popularity in machine learning community. …”
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Undergraduates Project Papers -
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Analyzing DNA Sequences Using Clustering Algorithm
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11
Improved nu-support vector regression algorithm based on principal component analysis
Published 2023“…This paper focuses on improving the nu-SVR algorithm to handle the problem of outliers. A new hybrid PCA with the nu-SVR technique (PCA-SVR) has been established. …”
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An ensemble data summarization approach based on feature transformation to learning relational data
Published 2015“…The Information Gain borrowed from Information Retrieval theory and Term-term Correlation algorithm are used to determine the relevancy of these features to be selected or merged in order to form a new generation of TF-IDF vector space. …”
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Thesis -
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An application of genetic algorithm and least squares support vector machine for tracing the transmission loss in deregulated power system
Published 2011“…This paper proposes a new method to trace the transmission loss in deregulated power system by applying Genetic Algorithm (GA) and Least Squares Support Vector Machine (LS-SVM). …”
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Conference or Workshop Item -
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Widely linear dynamic quaternion valued least mean square algorithm for linear filtering
Published 2017“…The new adaptive algorithm is called dynamic quaternion least mean square algorithm (DQLMS) because of the normalization process of the filter input and the variable step-size. …”
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Thesis -
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Improving performance of mobile ad hoc networks using efficient Tactical On Demand Distance Vector (TAODV) routing algorithm
Published 2012“…It also describes the design of a novel on-demand routing algorithm. Most of the proposed algorithms use a blind ooding technique during the route discovery process. …”
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Article -
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Hybrid artificial intelligent algorithm for call admission control in WCDMA mobile network
Published 2023“…The proposed algorithm, support vector regression assists genetic algorithm (SVRaGA) was tested in a dynamic WCDMA mobile network simulator. …”
Conference paper -
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Modified word representation vector based scalar weight for contextual text classification
Published 2024“…To bridge this gap, a five-phase research methodology is structured to propose and evaluate an algorithm enabling the external modification of LLM-generated word vectors using scalar values as the focus weightage. …”
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Thesis -
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Dual-head marking performance optimisation via evolutionary solutions
Published 2023“…This paper presents a new approach to optimise the performance of a multi-head marking system in terms of its marking speed This processing method named as MMA (Molecular Marking Optimisation algorithm) will adopt the use of Genetic Algorithm. …”
Conference paper -
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Intelligent classification algorithms in enhancing the performance of support vector machine
Published 2019“…Eight benchmark datasets from UCI were used in the experiments to validate the performance of the proposed algorithms. …”
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A parallel version of a binary method and vector addition chains precomputation for exponentiation in RSA / Siti Khatijah Nor Abdul Rahim and Siti Rozanae Ismail
Published 2006“…It has been proven that a significant speedup were achieved using this new approach.…”
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