Search Results - (( a constructive method algorithm ) OR ( using vector method algorithm ))
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Optimized feature construction methods for data summarizations of relational data
Published 2014“…This thesis also presents the study of a method to improve the descriptive accuracy of DARA algorithm by generating multi-instances of summarized data. …”
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Thesis -
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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“…However, we also constructed an algorithm for a parallel version of Vector Addition Chains to enhance the performance. …”
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Research Reports -
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Novel vector control method for three-stage hybrid cascaded multilevel inverter
Published 2011“…The inverter has been constructed, and the control algorithm has been implemented. …”
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An enhanced distance vector-hop algorithm using new weighted location method for wireless sensor networks
Published 2020“…A new weighted least squares method was embedded to solve nonlinear equation problem. …”
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Feedforward neural network for solving particular fractional differential equations
Published 2024“…This research aims to develop a scheme based on a feedforward neural network (FNN) with a vectorized algorithm (FNNVA) for solving FDEs in the Caputo sense (FDEsC) using selected first-order optimization techniques: simple gradient descent (GD), momentum method (MM), and adaptive moment estimation method (Adam). …”
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B-spline curve fitting with different parameterization methods
Published 2020“…This research is only focused on B-spline curve and four parameterization methods. In addition, uniformly spaced and averaging knot vector generations are used in generating the knot vector. …”
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Final Year Project / Dissertation / Thesis -
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Training data selection for record linkage classification
Published 2023“…Random forest and support vector machine classification algorithms were compared, and random forest with the top and imbalanced construction produced an F1 -score comparable to probabilistic record linkage using the expectation maximisation algorithm and EpiLink. …”
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Gradient method with multiple damping for large-scale unconstrained optimization
Published 2019“…That is, the proposed method is constructed by combining damping with line search strategies, in which an individual adaptive parameter is proposed to damp the gradient vector while line searches are used to reduce the function value. …”
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Heuristic optimization-based wave kernel descriptor for deformable 3D shape matching and retrieval
Published 2018“…This paper presents an optimized wave kernel signature (OWKS) using a modified particle swarm optimization (MPSO) algorithm. …”
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Heuristic optimization-based wave kernel descriptor for deformable 3D shape matching and retrieval
Published 2018“…This paper presents an optimized wave kernel signature (OWKS) using a modified particle swarm optimization (MPSO) algorithm. …”
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The capabilities of Multiclass Support Vector Machine (MSVM) training algorithms in grading agarwood essential oil
Published 2024“…This paper purposes to proof the capabilities of multiclass support vector machine (MSVM) training algorithms in grading agarwood essential oil. …”
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Non-fiducial based electrocardiogram biometrics with kernel methods
Published 2017“…This approach constructs an algorithm by combining autocorrelation (AC) and Kernel Principal Component Analysis (KPCA) techniques. …”
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Thesis -
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Predicting 30-day mortality after an acute coronary syndrome (ACS) using machine learning methods for feature selection, classification and visualization
Published 2021“…Identifying a feature selection method with a classifier algorithm that produces high performance in mortality studies is essential and has not been reported before. …”
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Automated system for concrete damage classification identification using various classification techniques in machine learning / Nur Haziqah Mat ... [et al.]
Published 2021“…This invention can recognize a certain damage while the classification of defects is classified according to the features extracted from the images by using GLCM algorithm. …”
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Conference or Workshop Item -
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Towards large scale unconstrained optimization
Published 2007“…The matrix-storage free BFGS (MF-BFGS) method is a method that combines with a restarting strategy to the BFGS method. …”
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Inaugural Lecture -
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Web service applications and consumer environments based on ICT-driven optimization
Published 2022“…Therefore, this paper proposes a service recommendation model based on the hybrid embedding of multiple networks and designs a multinetwork hybrid embedding recommendation algorithm. …”
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Automated recognition of Ficus deltoidea using ant colony optimization technique
Published 2013“…The experimental results have shown that the proposed method not only optimize feature subset, but also has a remarkable positive impact on accuracy.…”
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Conference or Workshop Item -
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3D solid robot animation design based on ADAMS
Published 2023“…The feasibility of gait planning is verified by analyzing the dynamic images obtained from the simulation experiments and the experimental data of each joint vector. This paper uses the Denavit-Hartenberg rule to construct a biped robot animation simulation kinematics model, deduces a matrix expression describing joint vectors between adjacent links, and solves the biped robot’s positive kinematics equation by chain multiplication rule; An efficient and improved inverse kinematics algorithm is proposed. …”
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