Dysfluent Speech Classification Using Variational Mode Decomposition and Complete Ensemble Empirical Mode Decomposition Techniques With NGCU-Based RNN by N. A. Vinay, K. N. Vidyasagar, S. Rohith, S. Supreeth, S. N. Prasad, S. Pramod Kumar, S. H. Bharathi

“…So, in this proposed work to extract the desired and unique features of dysfluent speech the samples are decomposed into different sub-signals by using two advanced methods of Empirical mode decomposition (EMD), they are Variational Mode Decomposition (VMD) and Complete Ensemble Empirical Mode Decomposition (CEEMD). …”
Get full text

More Correct Berezin Symbol Inequalities by Hamdullah Başaran, Mehmet Gurdal

Get full text

An Improved DoH Traffic Classification Method for XGboost by LI Bo, WEN Xueyan, XU Kesheng, ZHAO Yonghui

“… Encrypted traffic has become the main traffic in the Internet, and its classification has always been one of the research hotspots.Aiming at the problems of accurate identification of DoH(DNS-over-HTTPS) traffic in the current network, slow processing speed and low detection efficiency, a dimension reduction method based on truncated singular value decomposition (TSVD) is proposed.Improved limit gradient boosting tree (IXGboost) with Bayesian optimization method for DoH Flow classification.This method classifies encrypted traffic into non-DOH traffic, benign DoH traffic and malicious DoH traffic by exposing data sets over the network.Experimental results show that the classification accuracy of the proposed method is more than 99%, and the processing time of each data is only 0.3ms, which proves that the proposed method has high accuracy and strong real-time performance, improves the performance of intrusion detection, and can effectively achieve accurate classification of DoH traffic.…”
Get full text

GA-PE-VMD and MSE Methods for Milling Chatter Feature Extraction of Thin-walled Parts by WANG Hanbin, LI Maoyue, LIU Xianli, WANG Zhixue, MENG Boyang

“…Chatter leads to poor surface quality, dimensional error and reducing the service life of tools and machines.Therefore, a reliable detection method is needed to identify chatter.Aiming at the problem of chatter detection in the milling process of thin-walled structures, a chatter feature extraction method of thin-walled parts based on optimal variational mode decomposition and multi-scale sample entropy is proposed.Firstly, in order to solve the problem of parameter selection in variational modal decomposition, a parameter adaptive method based on genetic algorithm optimization and minimum permutation entropy is proposed. …”
Get full text

Novel AI-powered computational method using tensor decomposition for identification of common optimal bin sizes when integrating multiple Hi-C datasets by Y.-H Taguchi, Turki Turki

Get full text

Optimizing low complexity encoding method for systematic polar code by Linhua MA, Shiping LIU, Xing HU, Tianyu HUANG, Bin XU

Get full text

ROTOR FAULT FEATURE EXTRACTION METHOD USING MVMD AND IEDPE (MT) by WU YaoChun, GUO XiaoBo, DU ShaoHua, JU Hai, ZHAO Yan, WU Jie, JIA XiaoFeng

“…Compared with MVMD+PE, EMD+IEDPE, and EEMD+IEDPE, the results show that the fault features extracted by the proposed method are more effective in characterizing significant differences between rotor fault states, allowing more accurate recognition of fault categories.…”
Get full text

Classification and Recognition Method for Bearing Fault based on IFOA-SVM by Wei Zhang, Zhihua Ma

“…In order to identify the nonlinear classification of bearing fault features more accurately， a fault identification method based on IFOA-SVM is proposed. …”
Get full text

Post-processing of a distributed source method for the localization of somatosensory cortex in a cohort of epilepsy patients by Kevin Tyner, Matthew McCumber, Srijita Das, Carmen Urban, Anthony J. Maxin, Tiffany Chu, Mustaffa Alfatlawi, Stephen V. Gliske

Get full text

Tensor‐structured decomposition improves systems serology analysis by Zhixin Cyrillus Tan, Madeleine C Murphy, Hakan S Alpay, Scott D Taylor, Aaron S Meyer

Get full text

Impact of different treatment methods and timings on soil microbial communities with transgenic maize straw return by Yanbo Xie, Jun-Yan Xiang, Likun Long, Yue Ma, Zhenjuan Xing, Ling Wang, Chunyu Shao, Na Liu, Feiwu Li

Get full text

Enhancing multi-temporal drought forecasting accuracy for Iran: Integrating an innovative hidden pattern identifier, recursive feature elimination, and explainable ensemble learnin... by Mahnoosh Moghaddasi, Mansour Moradi, Mehdi Mohammadi Ghaleni, Mehdi Jamei

“…Additionally, the effectiveness of the suggested model (HPFE-ETR) was assessed and contrasted with two common methods, Time-Varying Filter-based Empirical Mode Decomposition (TVF-EMD) and Variational Mode Decomposition (VMD), both of which were combined with ETR. …”
Get full text

A Novel Method for 3-D Building Structure Determination in Through-the-Wall Radar by Qichang Guo, Xingdong Liang, Yanlei Li

“…Moreover, in order to keep the global correlation of the image in the case of the errors, the tensor Tucker decomposition is adopted. The performance of this method is discussed in the simulation and real radar data results. …”
Get full text

Federated Bayesian Deep Learning: The Application of Statistical Aggregation Methods to Bayesian Models by John Fischer, Marko Orescanin, Justin Loomis, Patrick Mcclure

Get full text

Decomposition of Intensity and Sustainable Use Countermeasures for the Energy Resources of the Northwestern Five Provinces of China Using the Logarithmic Mean Divisia Index (LMDI)... by Zhenxu Zhang, Junsong Jia, Chenglin Zhong, Chengfang Lu, Min Ju

Get full text

Fault Diagnosis Method of Planetary Gearboxes Based on LMD Permutation Entropy and BP Neural Network by Gao Sujie, Wu Shijing, Zhou Jianhua, Zheng Pan, Chen Ben, Xu Jiacai

“…Taking the EMD permutation entropy method and the non-dimensional analysis method as the comparison groups, the experiment proves that the feature vectors extracted from different working conditions with this method are more distinguishable, and the fault diagnosis effect is better. …”
Get full text

A Three-Component Polarimetric Target Decomposition Algorithm for Grasslands by Baokun Liu, Xiaoqi Lv, Xiujuan Li, Xiangli Yang, Pingping Huang, Weixian Tan, Yongguang Zhai, Yuejuan Chen, Kunpeng Xu

“…Previous polarimetric target decomposition methods have been widely used in forests and buildings and have achieved good results. …”
Get full text

Investigating inequality of childhood obesity in Bangladesh: a decomposition analysis by Abdur Razzaque Sarker

“…A regression-based decomposition method was applied to assess the socioeconomic contributors to inequality in childhood obesity. …”
Get full text

Adaptive weighted progressive iterative approximation based on coordinate decomposition. by Yushi Liu, Yan Wang, Chengzhi Liu

“…During the iterative process of the progressive iterative approximation, it is necessary to calculate the difference between the current interpolation curve and the corresponding data points, known as the adjustment vector. To achieve more precise adjustments of control points, this paper decomposes the adjustment vector into its coordinate components and introduces a weight for each component. …”
Get full text

Wavelet Decomposition Prediction for Digital Predistortion of Wideband Power Amplifiers by Shaocheng Peng, Jing You

“…In this framework, the input data are first decomposed using wavelet transformation, allowing for a more effective representation of nonlinear features. …”
Get full text