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Publication Metadata only Performance evaluation in color face hallucination with error regression model in MPCA subspace method(2014-02-24) Krissada Asavaskulkiet; Mahidol UniversityThis paper proposes a novel face super-resolution reconstruction (hallucination) technique for YCbCr color space. The underlying idea is to learn with an error regression model and multi-linear principal component analysis (MPCA). From hallucination... framework, many color face images are explained in YCbCr space. To reduce the time complexity of color face hallucination, we can be naturally described the color face imaged as tensors or multi-linear arrays. In addition, the error regression analysisPublication Metadata only Error analysis of the p-version discontinuous Galerkin method for heat transfer in built-up structures(2007-09-01) Hideaki Kaneko; Kim S. Bey; Peter Z. Daffer; Puntip Toghaw; Old Dominion University; NASA Langley Research Center; Northrup Grumman Space Technology; Mahidol UniversityIn this paper, we provide an error analysis for the p-version of the discontinuous Galerkin finite element method for a class of heat transfer problems in built-up structures. Also, a general form of the matrix associated with the discretizationItem Metadata only The systematic and random errors determination using real-time 3D surface tracking system in breast cancer(Mahidol University. Mahidol University Library and Knowledge Center, 2016) Jaruek Kanphet; Nuanpen Damrongkijudom; Taweap Sanghangthumto normal tissues and increase the dose to the tumor. The purpose of this study is to determine the systematic and random errors using 3D surface tracking system in breast cancer. The characteristics of AlignRT system were performed and the correlation... reference image in vertical, longitudinal and lateral directions were record. Then the systematic and random errors were calculated. The characteristics of the AlignRT system with new version of 3 camera pods showed no effect to the infrared light in someItem Metadata only Intra-Operative Trajectory Realignment Algorithm for Minimizing Pedicle Screw Misplacement in Cervical Spinal Fusion(2024-01-01) Komonsuwan P.; Treratanakulchai S.; Chumnanvej S.; Suthakorn J.; Komonsuwan P.; Mahidol University, which can lead to misalignment errors and complications. This study proposes an intra-operative trajectory re-alignment algorithm designed to address discrepancies between pre-operative and intra-operative images, particularly due to the inherent... mobility of the cervical spine. The algorithm utilizes 3D CT scans for pre-operative imaging and 2D X-rays for intra-operative imaging. Principal Component Analysis (PCA) is applied to each 3D segmented spine to construct reference frames. These kinematicItem Metadata only Dynamic order selection analysis in adaptive polynomial Kalman filtering: implementation and integration of sensor data and hybrid image processing for bio-inspired needle systems(2025-01-01) Sivaraman D.; Pillai B.M.; Wiratkapun C.; Suthakorn J.; Ongwattanakul S.; Sivaraman D.; Mahidol Universitythat the standard APKF significantly outperformed traditional Kalman Filtering (KF), achieving an average reduction of 46.9% in Root Mean Square Error (RMSE), 57.8% in Mean Absolute Error (MAE), and 64.5% in Median Absolute Deviation (MAD). To further improve... the performance, model-order selection criteria–Mean Squared Error (MSE), Akaike Information Criterion (AIC), Corrected AIC (AICc), and Bayesian Information Criterion (BIC)–were applied within the APKF framework. This led to even greater reductions in RMSE (55Publication Metadata only Thalassaemia classification by neural networks and genetic programming(2007-02-01) Waranyu Wongseree; Nachol Chaiyaratana; Kanjana Vichittumaros; Pranee Winichagoon; Suthat Fucharoen; King Mongkut's University of Technology North Bangkok; The Institute of Science and Technology for Research and Development, Mahidol University. Detailed analysis of the classification errors of the multilayer perceptron with two hidden layers, in which a reduced feature set is used as the network input, is also included. The analysis reveals that the classification ambiguity and misclassification... among persons with minor thalassaemia trait and normal subjects is the main cause of classification errors. These results suggest that a combination of a multilayer perceptron with a blood cell analysis may give rise to a guideline/hint for furtherPublication Metadata only Hypercircle inequality for partially-corrupted data(2015-01-01) Kannika Khompurngson; Boriboon Novaprateep; University of Phayao; South Carolina Commission on Higher Education; Mahidol Universityavailable data. Recently, an extension of hypercircle inequality to data error (Hide) was proposed by Kannika Khompurngson and Charles A. Micchelli and the results on this subject have constructed a new learning method. Unfortunately, the material on Hide... only applies to circumstances for which all data are known within error. In this paper, our purpose is to extend the hypercircle inequality to circumstances for which data set contains both accurate and inaccurate data.Item Metadata only Adaptive polynomial Kalman filter for nonlinear state estimation in modified AR time series with fixed coefficients(2024-01-01) Sivaraman D.; Ongwattanakul S.; Pillai B.M.; Suthakorn J.; Sivaraman D.; Mahidol Universitythe evolving system dynamics by selecting an appropriate autoregressive time-series model corresponding to the optimal polynomial order, based on the minimum residual error. This dynamic selection enhances the robustness of the state estimation process... of the APKF, demonstrating its superiority in accurately estimating the true system state compared with traditional Kalman filtering methods. The root-mean-square error was evaluated for various combinations of standard deviations of sensor noise and processPublication Metadata only A dynamic analysis of market power in the U.S. mortgage lending market(2012-01-01) Pandej Chintrakarn; Paan Jindapon; Mahidol University; Bangkok UniversityThis paper examines market power in mortgage lending market in the U.S., applying a dynamic reformulation of the Bresnahan-Lau model in an error correcting framework. The most common motivation for using this model is to solve the inference problemPublication Metadata only Erratum to “Implementation of genetic algorithm for optimum cutting pattern generation of wrinkle free finishing membrane structures” (Finite Elements in Analysis and Design (2012) 58 (84–90) (S0168874X12000807) (10.1016/j.finel.2012.04.008))(2016-10-15) Wonsiri Punurai; Wasan Tongpool; José Héctor Morales; Mahidol University; Architectural Engineering 49 Limited; Centro de Investigacion en Matematicas, A.C.© 2016 Elsevier B.V. The Publisher regrets to inform that the following error was missed to be updated in the previous version of the article. We would like to update one of the missing references in this article. The missing reference is as below