Remote sensing monitoring of wheat aphids by combining HJ satellite images with least squares twin support vector machine model by HU Gensheng, WU Wentian, LUO Juhua, HUANG Wenjiang, LIANG Dong, HUANG Linsheng

“…The monitoring model of wheat aphids in Tongzhou District and Shunyi District of Beijing was established by using the least squares twin support vector machine (LSTSVM) . The LSTSVM has a good processing ability for large scale unbalanced data and has stronger robustness than the traditional support vector machine (SVM) . …”
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Four Sub-Channel Single Sideband Generation of Vector mm-Wave Based on an I/Q Modulator by Wen Zhou, Li Zhao, Jiao Zhang, Kaihui Wang

“…Four sub-channels carrying different vector quadrature amplitude modulated (QAM) data are modulated to the upper sideband (USB) by I/Q modulation, while the vector unmodulated RF signal is located at the lower sideband (SSB) of the suppressed center carrier. …”
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Dynamics of vector competence for dengue virus type 2 in rural and urban populations of Aedes albopictus: implications for infectious disease control by Jehangir Khan, Muhammad Adil, Zhang Junyan, Dongjing Zhang, Yidong Deng, Zhiyue Lv, Tao Chen

“…Abstract Background Understanding the intrinsic factors that influence mosquito vector competence (VC) to pathogens is crucial for assessing the risk of disease transmission in both rural and urban environments. …”
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Interpretable prognostic modeling for long-term survival of Type A aortic dissection patients using support vector machine algorithm by Hao Cai, Yue Shao, Xuan-yu Liu, Chang-ying Li, Hao-yu Ran, Hao-ming Shi, Cheng Zhang, Qing-chen Wu

“…To further explain the decision-making process of the SVM model, we employed SHapley Additive exPlanation (SHAP) values for model interpretation. …”
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Spatio-Temporal Evolution and Interactive Relationship Between Digital Economy and Green Development in China by Tingting Chen, Chunyan Lu, Yuting Lai, Mengxing Zhou, Qingping Hu, Tingyan Wang, Lingxin Bao

“…The interplay between the digital economy and green development was examined using a panel vector autoregression model. Additionally, digital economy and green development levels were forecasted using univariate time series and radial basis function kernel ε-support vector regression models. …”
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On multivariate polynomials achievable with quantum signal processing by Lorenzo Laneve, Stefan Wolf

“…Characterizing which polynomials can be achieved with QSP protocols is an important part of the power of this technique, and while such a characterization is well-understood in the case of univariate signals, it is unclear which multivariate polynomials can be constructed when the signal is a vector, rather than a scalar. This work uses a slightly different formalism than what is found in the literature, and uses it to find simpler necessary conditions for decomposability, as well as a sufficient condition – the first, to the best of our knowledge, proven for a (generally inhomogeneous) multivariate polynomial in the context of quantum signal processing.…”
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Predictability in process-based ensemble forecast of influenza. by Sen Pei, Mark A Cane, Jeffrey Shaman

“…Process-based models have been used to simulate and forecast a number of nonlinear dynamical systems, including influenza and other infectious diseases. …”
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String processing model for knowledge-driven systems by V. P. Ivashenko

“…In case of solving particular string processing problems and using more suitable for these cases data structures such as vector or map the implemented operations have disadvantages meaning they are inferior in terms of the amount of data processed per time unit. …”
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A Novel Linguistic Relational Fuzzy C-Means by Peerawich Phaknonkul, Sansanee Auephanwiriyakul, Nipon Theera-Umpon

“…In real-world applications, sometimes there are uncertainties in the data sets whether from the collection process or from the natural languages. Moreover, the data may come in the form of fuzzy relation. …”
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To the question of control of servomotors of automatic welding unit designed for welding of large-sized tanks of launch vehicles by A. A. Ibatullin, E. S. Gebel, V. N. Gudinov

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The Characteristic of Measles Epidemic Process in Kyrgyz Republic by M. S. Niiazalieva, O. V. Tsvirkun, V. S. Toygombaeva, I. Sh. Aldjambaeva, G. S. Ishenapysova, R. A. Frolov, G. S. Dadanova

“…The data obtained statistically processed using the Excel program. The critical level of significance is p = 0.05. …”
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MODELING OF BUSINESS PROCESSES FOR MANAGING INTEGRATIVE DIGITAL DEVELOPMENT OF ENTERPRISES by Оlena V. Vynogradova, Svitlana V. Lehominova, Aliona Yu. Goloborodko, Tetiana I. Nosova

“…The fundamental methods for modeling business process flows using mathematical and analytical tools, specifically a system of differential equations with defined initial conditions, have been substantiated, enabling the integral assessment of enterprise business process modeling. …”
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Optimization of hydrochar production from almond shells using response surface methodology, artificial neural network, support vector machine and XGBoost by Faiçal El Ouadrhiri, Abderrazzak Adachi, Imane Mehdaoui, Fatima Moussaoui, Khalil Fouad, Abdelhadi Lhassani, Mehdi Chaouch, Amal Lahkimi

“…Herein, we investigate how to improve the hydrochar yield via hydrothermal carbonization process, focusing on the use of almond shells as a carbon resource. …”
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Accretion, evaporation and superradiance phase diagram of (primordial) black holes and 10−21 − 1021 eV scalar, vector, tensor fields by Caner Ünal

“…We generalize these bounds for vector and spin-2 fields.…”
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Baculovirus and Plasmid Vector-Mediated Gene Transfer in Daphnia magna Cells in Primary Embryonic In Vitro Cultures in an Optimized Microenvironment: Methods and Protocols by C. Sreevidya, Soumya Balakrishnan, Jayesh Puthumana

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Identification of SLC35A1 as an essential host factor for the transduction of multi-serotype recombinant adeno-associated virus (AAV) vectors by Xiujuan Zhang, Siyuan Hao, Zehua Feng, Kang Ning, Cagla Aksu Kuz, Shane McFarlin, Donovan Richart, Fang Cheng, Ander Zhang-Chen, Richenda McFarlane, Ziying Yan, Jianming Qiu

“…Further analyses revealed that SLC35A1 KO significantly decreased vector nuclear import. More importantly, although the C-terminal cytoplasmic tail deletion (∆C Tail) mutant of SLC35A1 did not drastically decrease SIA expression, it significantly decreased rAAV transduction, as well as vector nuclear import, suggesting that the C-tail is critical in these processes. …”
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BUSINESS PROCESS OPTIMIZATION IN A MODERN HIGH SCHOOL by O. S. Osipova, N. V. Sakharova

“…The paper describes a methodology to produce a matrix of core labor processes and functions of the teaching and support staff within the core business processes of a department. …”
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Effectiveness of the sterile insect technique in controlling Aedes albopictus as part of an integrated control measure: evidence from a first small-scale field trial in Switzerland by Diego Parrondo Monton, Damiana Ravasi, Valentina Campana, Francesco Pace, Arianna Puggioli, Matteo Tanadini, Eleonora Flacio

“…Conclusions This trial demonstrated the potential of SIT as a complementary tool in Swiss vector control. Public interest and acceptance were high. …”
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Comparison Of Facies Estimation Using Support Vector Machine (SVM) And K-Nearest Neighbor (KNN) Algorithm Based on Well Log Data by Urip Nurwijayanto Prabowo*, Akmal Ferdiyan, Sukmaji Anom Raharjo, Sehah Sehah, Arya Dwi Candra

“…In this paper, two machine learning (Support vector machine and K-Nearest Neighbor) were adopted to increase the effectiveness and shorten the time process of facies classification in Z Field, Indonesia. …”
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MT-Former: Multi-Task Hybrid Transformer and Deep Support Vector Data Description to Detect Novel anomalies during Semiconductor Manufacturing by Hyunsu Jeong, Chiho Yoon, Hyunseok Lim, Jaesuk Chang, Sampa Misra, Chulhong Kim

“…A whole new manufacturing process is often associated with a new set of defects that can cause serious damage to the manufacturing system. …”
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