Suchergebnisse - Gaussian normalization algorithm

AI-driven Research on Lingnan Cultural Brand Innovation and Design von Li, Si

“… cultural characteristics using HSV color space, grayscale covariance matrix, Fourier descriptor and Gaussian normalization algorithms respectively, and intuitively materializes the Lingnan cultural …”
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A novel Gaussian sum quaternion constrained cubature Kalman filter algorithm for GNSS/SINS integrated attitude determination and positioning system von Dai, Qing, Xiao, Guo-Rui, Zhou, Guo-Hua, Ye, Qian-Qian, Han, Shao-Yong

“… When applied directly in nonlinear non-Gaussian system without considering normalization constraints, the QCKF algorithm may result …”
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Fast and large-converge-radius inverse compositional Levenberg–Marquardt algorithm for digital image correlation: principle, validation, and open-source toolbox von Chen, Bin, Jungstedt, Erik

“… ). In essence, the IC-LM algorithm is a mixture of the classical inverse compositional Gaussian-Newton (IC-GN …”
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Single-Cell Transcriptome Profiling Simulation Reveals the Impact of Sequencing Parameters and Algorithms on Clustering von Liu, Yunhe, Wu, Aoshen, Peng, Xueqing, Liu, Xiaona, Liu, Gang, Liu, Lei

“… As a result, the simulation result was highly consistent with that of the actual data. Among the clustering algorithms, the Gaussian normalization method was the more …”
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Investigating the impact of data normalization methods on predicting electricity consumption in a building using different artificial neural network models von Kim, Yang-Seon, Kim, Moon Keun, Fu, Nuodi, Liu, Jiying, Wang, Junqi, Srebric, Jelena

“… The study investigates the impact of data normalization on the prediction of electricity consumption in buildings using four multilayer Artificial Neural Networks (ANN) algorithms …”
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Comparing normalization methods and the impact of noise von Vu, Thao, Riekeberg, Eli, Qiu, Yumou, Powers, Robert

“… Methods Nine MVAPACK normalization algorithms were compared with simulated and experimental NMR spectra modified with added Gaussian noise and random …”
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Emotional speech feature normalization and recognition based on speaker-sensitive feature clustering von Huang, Chengwei, Song, Baolin, Zhao, Li

“… To verify our normalization algorithm, we adopt a Gaussian mixture model based …”
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Generalized Gaussian Distribution Improved Permutation Entropy: A New Measure for Complex Time Series Analysis von Zheng, Kun, Gan, Hong-Seng, Chaw, Jun Kit, Teh, Sze-Hong, Chen, Zhe

“… To enhance the performance of entropy algorithms in analyzing complex time series, generalized Gaussian distribution improved permutation entropy (GGDIPE …”
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Robust speaker recognition in cross-channel condition based on Gaussian mixture model von Shan, Yuxiang, Liu, Jia

“… ) and data-driven score normalization. A novel dynamic Gaussian selection algorithm is developed to reduce the feature compensation time by more than …”
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Time-resolved velocity measurements in a magnetic micromixer von Ergin, F. Gökhan, Watz, Bo B., Ērglis, Kaspars, Cēbers, Andrejs

“… •Local contrast normalization and difference of Gaussian filters are used to enhance image contrast …”
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Elimination of Thermal Effects from Limited Structural Displacements Based on Remote Sensing by Machine Learning Techniques von Behkamal, Bahareh, Entezami, Alireza, De Michele, Carlo, Arslan, Ali Nadir

“… Machine learning-aided data normalization provides a good solution to this challenge. Despite proper studies on data normalization using structural responses/features …”
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A quantitative method for assessing the quality of meibomian glands von Koprowski, Robert, Wilczyński, Sławomir, Olczyk, Paweł, Nowińska, Anna, Węglarz, Beata, Wylęgała, Edward

“… The new algorithm involves a sequence of operations: image acquisition (acquisition of data from OCULUS Keratograph® 5M …”
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Robust variable normalization least mean p-power algorithm von Xiong, Kui, Zhang, Yu, Wang, Shiyuan

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Study on Image Processing Techniques Applying Artificial Intelligence-based Gray Scale and RGB scale von 이상현, 김현태

“… The image processing algorithm performs five image processing methods such as normalization, Gaussian distribution, Otsu algorithm, equalization, and gradient operation …”
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Variable Step‐Size LMS Algorithm Based on Variational Versoria Function and Variational Gaussian Function von Zhao, Baoshui, Xiao, Yancai, Shen, Haikuo, Zhi, Shaodan

“… ABSTRACT Aiming at the noise interference problem in wing fatigue tests, this paper improves the traditional LMS algorithm using the variational Versoria function and the variational Gaussian function …”
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Daily Locomotion Recognition and Prediction: A Kinematic Data-Based Machine Learning Approach von Figueiredo, Joana, Carvalho, Simao P., Goncalve, Diogo, Moreno, Juan C., Santos, Cristina P.

“… More versatile, user-independent tools for recognizing and predicting locomotion modes (LMs) and LM transitions (LMTs) in natural gaits are still needed. This …”
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Solar radiation prediction using boosted decision tree regression model: A case study in Malaysia von Jumin, Ellysia, Basaruddin, Faridah Bte, Yusoff, Yuzainee Bte. Md, Latif, Sarmad Dashti, Ahmed, Ali Najah

“… ) techniques have been applied to predict solar radiation. In this study, one of the most recent AI algorithms, namely, boosted decision tree regression (BDTR …”
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Polar ice image segmentation using improved estimation and normalization of illumination von Adaline Suji, R., Bright Anand, D., Lenin Babu, R.

“… Cloud computing is a large-scale paradigm in computing that is driven by the economies of scale. It is a pool of the virtualized, abstracted, dynamically …”
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SAR Image Compression Using Discretized Gaussian Adaptive Model and Generalized Subtractive Normalization von Zhang, Lili, Pan, Tianpeng, Huang, Yufeng, Qu, Lele, Liu, Yuxuan

“… To better parameterize the distribution of latent codes, a discretized Gaussian adaptive model is designed to achieve a flexible entropy process …”
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Estimation of the parameters of q-Gaussian distributions in the standard map von Zulkarnain, Susanto, H., Antonopoulos, C.G.

“… ) and the q-Gaussian while enforcing normalization to unit area. This framework yields highly accurate parameter estimates, revealing optimal q and b values that provide an exceptional fit to the numerical PDFs …”
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