Modeling and Simulation of English Speech Rationality Optimization Recognition Based on Improved Particle Filter Algorithm by Hui Dong

“…The topic model is used to extract the semantic space vector representation of English phonetic text and to sequentially predict the emotional information of different scales at the chapter level, paragraph level, and sentence level. …”
Get full text

Key Technology of the Medical Image Wise Mining Method Based on the Meanshift Algorithm by Jinli Cui, Yadong Wang, Ke Wang

“…Mean-shift originally refers to the mean vector of the offset. The algorithm idea is to assume that the data sets of different clusters conform to different probability density distributions, and the area with high sample density corresponds to the center of the cluster. …”
Get full text

Permanence and changes in pastoral farming in the Southern Alps by Laurent Garde, Marc Dimanche, Jacques Lasseur

“…In both cases, changes in public policies and markets, as well as the emergence of new environmental stakes have determined or are in the processes of determining the future of pastoral farming. …”
Get full text

Functional complementarity relationship enhanced cloud API recommendation method by Zhen CHEN, Wenhui CHEN, Xiaowei LIU, Dianlong YOU, Linlin LIU, Limin SHEN

“…Current cloud application program interface (API) recommendation methods mainly use similarity calculation or historical calls of Mashup to generate recommendation results, while ignoring the beneficial functional complementarity (FC) between Mashup and cloud API.To address the above issue, a FC relationship enhanced cloud API recommendation approach was proposed.Firstly, label co-occurrence was applied to describe the FC relationship.Then, the FC score was calculated to describe the degree of FC between the cloud API and the Mashup, and the FC vector was learned to describe the potential FC relationship.Based on this, FC scores and FC vectors were embedded into the cloud API recommendation model, so that FC relationship played a key role in the cloud API recommendation process.Experiments were conducted on real-world cloud API datasets, and the AUC, F1 and HR@5 of the proposed approach improved by an average of 2.32%, 1.86% and 9.15%, respectively, in the sparse scenario.Finally, the proposed approach can improve the accuracy of cloud API recommendation results, while improving the recommendation performance of long-tail cloud API.…”
Get full text

Data Mining Classification Techniques for Diabetes Prediction by Hindreen Rashid Abdulqadir, Adnan Mohsin Abdulazeez, Dilovan Assad Zebari

“…This study proposed a system biology approach to the pathogenic process to identify essential biomarkers as drug targets. …”
Get full text

A Fast and Cost-Effective Electronic Nose Model for Methanol Detection Using Ensemble Learning by Bilge Han Tozlu

“…These four features were extracted from the data of MQ-3, MQ-4, and MQ-137 sensors, and the classification process was carried out using the data of these sensors. …”
Get full text

Russia’s Foreign Policy in the South Caucasus in the Context of Increasing New Regional Competition by Zhak Manukyan

“…The article also analyzes the multi-vector foreign policy pursued by regional states in the South Caucasus, in particular Türkiye and Iran. …”
Get full text

Research on Physical Reliability Rendering Algorithm by Xingyu Wang, Lingzeng Meng

“…During the development process, the requirements for rendering realism and speed are getting higher. …”
Get full text

Application of federated learning in predicting breast cancer by Chai Jiarui

“…During the local training process, the data is normalized and feature extracted, initially classified using support vector machines (SVM) or penalized logistic regression and optimized using stochastic gradient descent (SGD). …”
Get full text

Research on bearing fault diagnosis of reciprocating compressors based on GMDE and MFO-MKELM algorithms by LI Yanyang, WANG Jindong, NING Liuyang, MA Lei

“…ObjectiveAiming at the problem that the bearing fault feature extraction is difficult and the recognition accuracy is not high due to the characteristics of local strong non-stationarity and nonlinearity of the vibration signal of reciprocating compressor bearing clearance, a new method based on GMDE and MFO-MKELM algorithm was proposed.MethodsFirst, spread on multiscale entropy in the process of coarse graining, the average coarse graining way to a certain extent, “neutralize” the dynamics of the original signal mutation behavior, and reduce the accuracy of the entropy analysis. …”
Get full text

Fast algorithms for a linear system with infinitesimal generator structure of a Markovian queueing model by Jiaqi Qu, Yunlan Wei, Yanpeng Zheng, Zhaolin Jiang

“…In this paper, we focused on solving the perturbed four-banded linear system derived from the traffic process associated with a Markovian queueing model. …”
Get full text

A sequential-generation-based intelligent method for layout of pipeline supports by Jingjing Wu, Qichang He

“…Initially, a feature vector is defined by focusing on the significant design factors. …”
Get full text

Compensação ambiental: da contradição à valoração do meio ambiente no Brasil / Environmental compensation: from the contradiction to the valuation of the environment in Brazil... by Rafael Oliveira Fonseca

“…As currently the state has been conducting massive investments in sectors considered strategic for economic growth, environmental vector has been extremely pressed and increasingly valued. …”
Get full text

Computer Methods for the Antimicrobial Efficacy of Metal Nanoparticles Against MDR Microbes by Shanza Anzar, Ayesha Sohail, Lubna Sherin, Peter S. Kim

“…This study employs support vector machine learning classification algorithms to identify the key attributes of inorganic nanoparticles that influence their antimicrobial efficacy. …”
Get full text

Efficient modification and preparation of circular DNA for expression in cell culture by Roman Teo Oliynyk, George M. Church

“…The preparation of plasmids typically involves a laborious process of bacterial cloning, validation, and purification. …”
Get full text

The Beginning of Childhood Diseases Teaching at Imperial Kazan University by Alexey S. Sozinov, Dinara I. Sadykova, Anton Yu. Ivanov, Regina G. Ivanova, Anastasiya V. Ishbuldina

“…Furthermore, this article shows the role of Kazan University teaching staff in the process of discussions implementation for further improvement of medical and pedagogical activities.…”
Get full text

A Novel Variational Bayesian Method with Unknown Noise for Underwater INS/DVL/USBL Localization by Haoqian Huang, Chenhui Dong, Yutong Zhang, Shuang Zhang

“…Then, the state transition and the measurement process are derived as hierarchical Gaussian models. …”
Get full text

Quantization of nonequilibrium heat transport models based on isomorphism and gauge symmetry by Chen Yang

“…To achieve this, scalar and vector potential and gauge functions were first introduced to characterize the heat transport model. …”
Get full text

Research on strong and weak evaluation method of air brake for intelligent driving heavy haul train by WANG Feikuan, JIANG Jie, ZHANG Zhengfang, LUO Yuan

“…To solve this problem, this paper proposed a prediction method for the strong and weak of air braking force based on IPSO-SVM (Improved Particle Swarm Optimization-Support Vector Machine). IPSO was used to optimize the parameters of SVM. …”
Get full text

Python-Based Visual Classification Algorithm for Economic Text Big Data by Yihuo Jiang, Xiaomei Guo, Hongliang Ni, Wenbing Jiang

“…The economic text big data are preprocessed by filtering out useless symbols, word segmentation processing, and removing stop words. According to the processing results, the most relevant features of the economic text big data classification process are selected, including Gini index, information gain, mutual information, etc., and the TF-IDF weighting algorithm is used to weight the economic text data features. …”
Get full text