検索結果 - Kernel functions

Kajian kawasan perubahan jenayah menggunakan teknik anggaran ketumpatan kernel dalam anjakan pemberat hasil bahagi 著者: Nurul Iffah Mohd. Zulkepli

主題: “…Kernel functions…”
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Finding kernel function for stock market prediction with support vector regression (Full text)

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Learning And Optimization Of The Kernel Functions From Insufficiently Labeled Data 著者: Abbasnejad, M. Ehsan

“…The fundamental problem related to these learning techniques is the selection of the kernel function. Therefore, learning the kernel as a procedure in which the kernel function is selected for a particular dataset is highly important. …”
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Boundary integral equation with the generalized Neumann Kernel for computing green's function for multiply connected regions 著者: Siti Zulaiha Aspon

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Convolution Operators With Spline Kernels 著者: Osman, Rohaizan

“…In this project, we shall derive the asymptotic formulas for convolution operators with spline kernels for higher order differentiable functions. …”
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Meshfree modelling of thin plate bending using reproducing kernel particle method 著者: Tong, Desmond You Sheng

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An integral equation method for conformal mapping of doubly connected regions via the Kerzman-Stein and the Neumann Kernels 著者: Nurul Akmal Mohamed

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Integral equation approach for computing green's function on unbounded simply connected region 著者: Sheida Chahkandi Nezhad

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Urea Adsorption By Activated Carbon Derived From Oil Palm Kernel Shell And Empty Fruit Bunch Fiber 著者: Ooi , Chee Heong

“…Regardless of the obtained surface area, increase of acid impregnation ratio deteriorates the urea adsorption by ACF samples due to the decrease in C-H surface functional groups. Overall, the presence of C-H surface functional group in AC was proven the vital factor for higher urea adsorption capacity.…”
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Optimization of dihydroxystearic acid synthesis from palm kernel oil based oleic acid using taguchi's method / Noorfazlida Mohamed 著者: Mohamed, Noorfazlida

“…This study looks to establish the process factor that will contribute to the enhancement of the reaction rate and yield of dihydroxy stearic acid (DHSA) formation from palm kernel oil based crude oleic acid. Previous studies showed high quality of DHSA can be produced at satisfactory yield in batches. …”
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Development Of Palm Kernel Oil Polyol - Based Shape Memory Polyurethane With Polyethylene Glycol (Peg) And Poly Caprolactone (Pcl) As Soft Segment 著者: Nguyen, Hoang Trinh

“…Functionalized GNP - based SMPU composite (PU-F) reached maximum tensile strength at 1wt% of functionalized GNP, which is 150% higher compared to that of neat SMPU while tensile strain at break increased 1590% than that of neat SMPU at 0.25wt% functionalized GNP. …”
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Effects of chemical interesterification on the physicochemical properties and bioactive compounds of palm stearin, palm kernel oil and rice bran oil blends / Mohd Akram Zuher 著者: Zuher, Mohd Akram

“…The aims of this study were to determine the effects of chemical interesterification on physicochemical properties of palm stearin, palm kernel oil and rice bran oil blends and to optimise a fat blend for trans-free margarine that contained bioactive compounds without sacrificing the functional properties. …”
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An Optimal Region Of Interest Localization Using Edge Refinement Filter And Entropy-Based Measurement For Point Spread Function Stimation 著者: Shapri, Ahmad Husni Mohd

“…As a result, the proposed solutions compare favourably against existing techniques with the peak signal-to-noise ratio (PSNR), kernel similarity (KS) index, and error ratio (ER) averaging at 24.8 dB, 0.6 and 1.4, respectively. …”
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Panduan penggunaan program zoom-A berdasarkan strategi pembelajaran aktif 著者: Mohd. Munir Baharom

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Fast numerical conformal mapping of bounded multiply connected regions via integral equations 著者: Lee, Khiy Wei

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Fast numerical conformal mapping of bounded multiply connected regions via integral equations 著者: Lee, Khiy Wei

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A Reference Based Surface Defect Segmentation Algorithm For Automatic Optical Inspection System 著者: Wong, Ze-Hao

“…Multiple Templates Anomaly Detection (MTAD) strategy is proposed to describe the local anomaly degree through distance functions computed from learning dataset. The learning dataset images are illumination normalized, registered and stacked across multiple templates in a kernel to form a histogram for each pixel location. …”
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Optimized local protein structure with support vector machine to predict protein secondary structure 著者: Chin, Yin Fai

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Autism children gait classification using intelligent techniques / Suryani Ilias 著者: Ilias, Suryani

“…The ability of SVM as classifier are investigated using three different kernel functions specifically linear, polynomial, and radial basis. …”
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Modified two-step method for stochastic differential equation's parameter estimation 著者: Nur Hashida Md. Lazim

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