Global ETD Search
Search theses and dissertations gathered from participating repositories worldwide. Every result links back to the library that holds it. No account is needed.
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Showing 1 to 20 of 51 for “"Mean square error (MSE)"”.
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An examination of block motion compensation algorithms for MPEG-2 and prediction of bit rates from video sequence measurements
… to evaluate a candidate motion vector, namely, Mean Square Error (MSE), Minimum Absolute Difference (MAD) and cross correlation. The ideal motion vector being the one that minimises MAD and MSE, and maximises cross-correlation. Sub-sampling, hierarchical and feature domain methods were examined. …
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A 3D Deep Learning Architecture for Denoising Low-Dose CT Scans
… analyses demonstrate that 3D-DDnet reduces the mean square error (MSE) by 10% over its 2D counterpart, 2D-DDnet. Moreover, by applying transfer learning from pre-trained 2D models, 3D-DDnet effectively 'jump starts' the learning process, cutting training times by half without compromising on …
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Mean Hellinger Distance as an Error Criterion in Univariate and Multivariate Kernel Density Estimation
Ever since the pioneering work of Parzen the mean square error( MSE) and its integrated form (MISE) have been used as the error criteria in choosing the bandwidth matrix for multivariate kernel density estimation. More recently other criteria have been advocated as competitors to the MISE, such as …
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Probability Density Function Estimation Applied to Minimum Bit Error Rate Adaptive Filtering
… techniques usually attempt to minimize the mean square error (MSE) of some aspect of the received signal, with respect to the desired aspect of that signal. Adaptive minimization of MSE does not always guarantee minimization of bit error rate (BER). The main focus of this research involves …
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A comparison of discrete cosine transform and discrete wavelet transform algorithm in watermarking against common attacks
… regard to peak signal to noise ratio (PSNR), Mean Square Error (MSE) and Normalized Correlation (NC). The PSNR value of the watermarked Lena image in DWT is 47, higher than the DCT which is 44. The Normalized Correlation (NC) also had clarified that the extracted watermark in DWT 0.9964 is …
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Optimization of coded signals based on wavelet neural network
… existing methods, WNN yields better PSR, low Mean Square Error (MSE), less noise, range resolution ability and Doppler shift performance than the previous and some traditional algorithms like auto correlation function (ACF) algorithm.
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Parametric survival models with interval censored data in determining prognostic factors of patients of lung cancer
… Standard estimation values such as, the mean square error (MSE), root mean square error (RMSE), mean absolute error (MAE), and mean asolute percentage error (MAPE) were employed in comparing different distributions and number of sample sizes. Besides, Akaike Information Criterion (AIC), …
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Force control for one degree of freedom haptic device using PID Controller
… controller based on the lowest value of the Mean Square Error (MSE). The results show that PID Controller is the most suitable for the proposed device with Proportional gain (Kp), Integral gain (Ki), Derivative gain (Kd) are 1.3, 0.01 and 0.2 respectively. The force control mechanism can …
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Improvisation of fuzzy c-means method and fuzzy linear regression model in predicting manufacturing income
… predicting manufacturing income by using fuzzy c-means (FCM) method, apply existing methods such as multiple linear regression (MLR) and fuzzy linear regression (FLR) as proposed by Tanaka and Ni in predicting manufacturing income, improvise of FCM method and FLR model proposed by Zolfaghari in …
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Application of fuzzy linear regression models for predicting tumor size of colorectal cancer in Malaysia's Hospital
… best model by using statistical measurements of mean square error (MSE) and root mean square error (RMSE). The results showed that the fuzzy linear regression with symmetric parameter (Zolfaghari) was found to be the best model, having the lowest MSE and RMSE value by 98.21 and 9.91. Hence, the …
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Frequency Domain Independent Component Analysis Applied To Wireless Communications Over Frequency-selective Channels
… Blind CFO Estimator (BCFOE). The Bit Error Rate (BER) improvement of the ML-CFOC is achieved at the expense of a modest increase in the computational requirements without sacrificing the system bandwidth or increasing the hardware complexity. The BCFOE outperforms the existing blind …
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GOES-R Supervised Machine Learning
… using various sample size. We compare our R-square scores, mean square error (MSE), and mean absolute (MAE) between pCal and MLP models. In addition, we explore different artificial intelligence, machine learning algorithms to detect image anomalies which has broader flagging applications …
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Prediction of indoor environmental parameters for naturally ventilated building using artificial neural network: a reflection of outdoor parameters
… of the developed model was evaluated using R squared (R2) and Mean Square Error (MSE). Network testing was performed to validate the models developed. The accuracy of the model was measured using the Mean Absolute Percentage Error (MAPE). Results from the research show that twelve ANN models …
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Prediction of indoor environmental parameters for naturally ventilated building using artificial neural network: a reflection of outdoor parameters
… of the developed model was evaluated using R squared (R2) and Mean Square Error (MSE). Network testing was performed to validate the models developed. The accuracy of the model was measured using the Mean Absolute Percentage Error (MAPE). Results from the research show that twelve ANN models …
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Topics in small area estimation with applications to the National Resources Inventory
… small area variances. An approximation for the mean square error (MSE) of the empirical best linear unbiased predictor and an estimator of the MSE are developed. Simulation studies show that the theoretical expressions are good approximations for the MSE of the predictors. Also the suggested MSE …
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Investigating inter-turn fault in transformer using TTR and FRA
… be determined by the absolute sum logarithmic error (ASLE), mean square error (MSE), and standard deviation (SD). Also, there are indicator limits has been proposed for ALSE and SD. This study finding helps to use the frequency response analysis method to replace the conventional turn ratio …
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NEW ALGORITHMS FOR COMPRESSED SENSING OF MRI: WTWTS, DWTS, WDWTS
… Peak Signal to Noise ratio (PSNR) and lower Mean Square Error (MSE) for the CS based image reconstruction approach. Exploiting the sparsity of wavelet tree using the above-mentioned techniques achieves further lessening for data needed for the reconstruction, while improving the …
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Channel estimation for Gigabit Multi-user MIMO-OFDM Systems
… detection). It can be shown that for a given error probability, coherent detection schemes require a Signal to Noise Ratio (SNR) that is 3dB less than the SNR required for non-coherent detection schemes. It is also known that the performance of coherent detection schemes can be further …
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Mine soil properties influencing white pine (Pinus atrobus L.) growth in Southwest Virginia
… environmental factors and growth. PRediction Error Sum of Squares (PRESS), Mean Square Error (MSE), and Multiple Correlation Coefficient (R²) were used as criteria for variable selection and model validation. Rooting-volume index, the reciprocal of the electrical conductivity (EC), and …
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Bias Assessment and Reduction in Kernel Smoothing
… of the method is often evaluated using the Mean Square Error (MSE). Bias and variance are two components of MSE. Kernel methods are known to exhibit varying degrees of bias. Boundary effects and data sparsity issues are two potential problems to watch for. There is a need for a tool to …
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