METHOD OF DEGRADATION DATA RELIABILITY EVALUATION BASED ON THE LEAST SQUARE SUPPORT VECTOR MACHINE by FENG Shuai, FENG JinFu, WANG Cong, QI Duo, LI YongLi

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The Application Based on Support Vector Machine Optimized by Particle Swarm Optimization and Genetic Algorithm by MAN Chun-tao, LIU Bo, CAO Yong-cheng

“…In order to improve the precision of the parameter optimization, the research integrates the Particle Swarm Optimization Algorithm with Support Vector Machine, and matches the experimental data, and then establishes a steadystate model of complex process system, which is based on Particle Swarm Optimization Algorithm and Support Vector Machine On the basis of this model, an improved Particle Swarm Optimization Algorithm introduced to Genetic Algorithm is proposed, in order to overcome the defects of Particle Swarm. …”
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Losses and orbital part of the Poynting vector of air-core modes in hollow-core fibers by G.K. Alagashev, S.S. Stafeev, A.D. Pryamikov

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Hybrid Sindbis/Epstein-Barr virus episomal expression vector for inducible production of proteins by Lidia Ivanova, Johanna Brändli, Philippe Saudan, Martin F. Bachmann

“…Alphavirus vectors are attractive as recombinant protein expression systems due to the high level of gene expression achieved. …”
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Novel Vector for Generating RNAs with Defined 3′ Ends and Its Use in Antiviral Strategies by Andreas Schwienhorst, Björn F. Lindemann

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Elastin Peptides as a Potential Disease Vector in the Pathogenesis of Pulmonary Emphysema: An Investigation of This Hypothesis by Jerome Cantor

“…As in the case of an epidemic, elastin peptides resemble disease vectors that transmit alveolar wall injury throughout the lung. …”
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Pengenalan Bahasa Isyarat Huruf Abjad Menggunakan Metode Learning Vector Quantization (LVQ) by Sulistia Rauf Yulian, Suhartono Suhartono

“…Tahapan processing yang harus dilalui sebelum dilakukan pelatihan terhadap Jaringan syaraf tiruan Learning Vector Quantization (LVQ) adalah grayscalling, thresholding, cropping, dan scalling. …”
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Contrastive learning for one-shot building shape recognition using vector polygon transformers by Longfei Cui, Haizhong Qian, Junkui Xu, Chao Li, Xinyu Niu

“…The adoption of this methodology reduces costs associated with manual operations and enhances the overall process of building recognition and classification.…”
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Precision blood pressure prediction leveraging Photoplethysmograph signals using Support Vector Regression by Arjon Turnip, Mohammad Taufik, Dwi Esti Kusumandari

“…To facilitate the operation of more sophisticated medical robots, blood pressure prediction technology was developed using Photoplethysmograph (PPG) signals from a single finger, using the Support Vector Regression (SVR) method. The data collection process involved 110 participants aged 20 to 70 years for modeling and validation. …”
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A Novel Hybrid Network Traffic Prediction Approach Based on Support Vector Machines by Wenbo Chen, Zhihao Shang, Yanhua Chen

“…In this paper, a new hybrid network traffic prediction method (EPSVM) primarily based on Empirical Mode Decomposition (EMD), Particle Swarm Optimization (PSO), and Support Vector Machines (SVM) is presented. The EPSVM first utilizes EMD to eliminate the impact of noise signals. …”
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Sentiment Analysis of User Reviews on the Game GTA V Using Support Vector Machine by Adika Kaka Saputra, Maya Rini Handayani, Nur Cahyo Hendro Wibowo, Khothibul Umam

“…The TF-IDF method was used to convert text into numerical vectors, and sentiment classification was conducted using the Support Vector Machine (SVM) algorithm. …”
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A Novel Equivariant Self-Supervised Vector Network for Three-Dimensional Point Clouds by Kedi Shen, Jieyu Zhao, Min Xie

“…For networks that process 3D data, estimating the orientation and position of 3D objects is a challenging task. …”
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Hydrodynamic coefficients identification of ship simplified modular model based on support vector regression by Lifei SONG, Yuqing WANG, Wei PENG, Peiyong LI, Yushan LIu, Yongfeng ZHANG

“…ObjectivesTo address the issue of multicollinearity and parameter drift in the identification of hydrodynamic coefficients in ship separated-type models, this paper proposes a method for modeling simplified three-degree-of-freedom modular models based on support vector regression (SVR). MethodsInitially, a processing strategy is introduced to enhance the effectiveness of the sample data. …”
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Cylindrical Vector Beams with an MOPA Amplifier Based on Nonlinear Polarization Rotation Mode-Locking by Tianyu Zhang, Dong Li, Siqi Pei, Yun Zhu, Jiapeng Hu, Xuesheng Liu, Anru Yan, Youqiang Liu, Zhiyong Wang

“…CVBs (cylindrical vector beams) are widely used in optical imaging, optical trapping, material processing, etc. …”
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Local Similarity-Based Fuzzy Multiple Kernel One-Class Support Vector Machine by Qiang He, Qingshuo Zhang, Hengyou Wang, Changlun Zhang

“…One-class support vector machine (OCSVM) is one of the most popular algorithms in the one-class classification problem, but it has one obvious disadvantage: it is sensitive to noise. …”
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An Intelligent Prediction Method of the Karst Curtain Grouting Volume Based on Support Vector Machine by Jiandong Niu, Bin Wang, Haifa Wang, Zhiwei Deng, Jianxin Liu, Zewei Li, Guanjun Chen, Botao Zhang

“…In the study, based on the basic idea of support vector machine (SVM), a multiparameter comprehensive intelligent prediction method of the KCGV is proposed, which overcomes the limitation of few sample data in practical engineering. …”
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Correction of the optimal regulator based on solving the inverse problem of optimal stabilization with vector control by V. V. Nikulin, P. A. Mishin, P. A. Mishina

“…This article discusses the solution of direct and inverse optimal stabilization problems. The state vector is assumed to be completely available for measurement.Method. …”
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Unveiling malaria vectors: species complex and surveillance insights from Sundergarh, Odisha, India by Taru Singh, Syed Shah Areeb Hussain, K. Pradhan, Monica Rawat, Ramesh Chand Dhiman

“…Abstract Background Malaria is one of the most infectious life-threatening vector-borne diseases affected by climate change. …”
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Simultaneous control of three degrees of freedom in perfect vector vortex beams based on metasurfaces by Li Siyang, Zheng Yaqin, Zhou Changda, He Guoli, Shi Zhonghong, Li Haoyang, Zhou Zhang-Kai

“…The perfect vector vortex beams (PVVBs) have played an important role in various fields due to their advantages of unique vortex features, flexible polarization distribution and multiple degrees of freedom (DoFs). …”
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Geometry-Constrained Learning-Based Visual Servoing with Projective Homography-Derived Error Vector by Yueyuan Zhang, Arpan Ghosh, Yechan An, Kyeongjin Joo, SangMin Kim, Taeyong Kuc

“…The uniform magnitude of the error vector elements simplifies neural network input normalization, thereby enhancing online training efficiency. …”
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