Optimizing Kernel Transformations to Handle Binary Class Imbalanced Dataset Classification by Vaibhavi Patel, Hetal Bhavsar

“…In our research, we propose a novel approach to address this challenge specifically tailored for Support Vector Machines (SVM), a well-established family of learning algorithms. …”
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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. …”
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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.…”
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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. …”
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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. …”
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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. …”
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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). …”
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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. …”
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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. …”
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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. …”
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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. …”
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A comparative study of wavelet families for schizophrenia detection by E. Sathiya, T. D. Rao, T. Sunil Kumar

“…The computed feature vector is then fed into a classifier to distinguish between SZ and healthy controls (HC). …”
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A Machine Learning Approach to Credit Card Transaction Fraud Prediction by Liu Zixuan

“…The results show that logistic regression outperforms other classifiers, including support vector classifiers (SVC), K-nearest neighbor classifiers (KNN), and decision trees, achieving an optimal balance between fraud detection and minimizing false positives. …”
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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. …”
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Research on Automatic Classification Method of Ethnic Music Emotion Based on Machine Learning by Zijin Wu

“…Explore the Deep Belief Network (DBN) pretraining and reverse fine-tuning process, using DBN to learn the fusion characteristics of music. …”
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Acoustic Emission from Concrete: Critical Slowing Down Analysis and Compressive Strength Prediction by Zhiqiang Lv, Annan Jiang, Zhen Tan

“…This work pursues two primary aims: identifying the precursory point by the CSD analysis of AE series and using acoustic emission parameters to predict the compressive strength of concrete utilizing the artificial neural network (ANN), extreme learning machine (ELM), and support vector machine (SVM). The concrete specimens with a water-cement ratio of 0.45 and 0.55 were tested for compressive strength, and the failure process of concrete was monitored by acoustic emission. …”
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Providing Surround Sound with Loudspeakers: A Synopsis of Current Methods by Jens BLAUERT, Rudolf RABENSTEIN

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The meaning of death: evolution and ecology of apoptosis in protozoan parasites. by Sarah E Reece, Laura C Pollitt, Nick Colegrave, Andy Gardner

“…Understanding how, when, and why parasites employ apoptosis is central to targeting this process with interventions that are sustainable in the face of parasite evolution.…”
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A spectral analysis of chaotic oscillations in simulation model of Chua’s circuit developed with use of matrix decomposition by A. M. Krot, U. A. Sychou

“…The correctness of application of the matrix expansion of a vector function depending on values of the perturbations (increments) of variables in the state space is investigated.…”
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Devenir autonome, encore et en corps, au prisme des œuvres de formation by Camille Roelens

“…This text proposes a philosophical reflection on what, in the contemporary process of forming oneself as an autonomous subject, affects the relationship to one's own body. …”
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