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  1. 341

    Aplikasi Sistem Temu Kembali Angket Mahasiswa Menggunakan Metode Generalized Vector Space Model by Suprianto Suprianto, Abdul Fadlil, Sunardi Sunardi

    Published 2019-01-01
    “…Aplikasi dibangun dengan metode Generalized Vector Space Model (GVSM) sebagai dasar untuk menyelesaikan permasalahan yang ada. …”
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    Article
  2. 342

    Selection of Monitoring points for the Number and Infectivity of the Main Vectors of West Nile Virus in the Volgograd Region by N. V. Boroday, A. V. Nesgovorova, V. F. Fomina, A. K. Mendygalieva, A. A. Baturin, D. N. Nikitin, E. V. Putinceva

    Published 2022-01-01
    “…Since 1999, the incidence of West Nile fever has been recorded in the Volgograd region. The main vectors of West Nile virus in Russia are Cx mosquitoes. pipiens L. and Cx. modestus Fic. …”
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    Article
  3. 343

    Modular and efficient assembly of CRISPR vectors and construction of an apple gene editing efficiency evaluation system by HOU Feifan, HUANG Chuanmi, HAO Pengbo, CONG Liu, BAI Tuanhui, SHI Jiangli, WANG Miaomiao, LIU Yu, ZHAO Yujie, WAN Ran, SHEN Yawen, ZHANG Hengtao, ZHANG Kunxi, ZHENG Xianbo, JIAO Jian

    Published 2025-08-01
    “…This significantly simplifies the operation process, shortens the time, and improves the efficiency and precision of the construction of gene editing vectors. …”
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    Article
  4. 344
  5. 345

    Fault Detection for Turbine Engine Disk Based on Adaptive Weighted One-Class Support Vector Machine by Jiusheng Chen, Xingkai Xu, Xiaoyu Zhang

    Published 2020-01-01
    “…Recently, the support vector machine (SVM) with kernel function is the most popular technique for monitoring nonlinear processes, which can better handle the nonlinear representation of fault detection of turbine engine disk. …”
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    Article
  6. 346

    Improved Deep Support Vector Data Description Model Using Feature Patching for Industrial Anomaly Detection by Wei Huang, Yongjie Li, Zhaonan Xu, Xinwei Yao, Rongchun Wan

    Published 2024-12-01
    “…In industrial contexts, anomaly detection is crucial for ensuring quality control and maintaining operational efficiency in manufacturing processes. Leveraging high-level features extracted from ImageNet-trained networks and the robust capabilities of the Deep Support Vector Data Description (SVDD) model for anomaly detection, this paper proposes an improved Deep SVDD model, termed Feature-Patching SVDD (FPSVDD), designed for unsupervised anomaly detection in industrial applications. …”
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    Article
  7. 347

    Development of a relay-vector control system for a multi-phase semiconductor converter of electric energy by S. V. Panteleev, A. N. Malashin

    Published 2021-01-01
    “…A system of relay-vector control of current in the circuit of a polyphase electric machine has been developed. …”
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    Article
  8. 348

    2b-RAD genotyping for population genomic studies of Chagas disease vectors: Rhodnius ecuadoriensis in Ecuador. by Luis E Hernandez-Castro, Marta Paterno, Anita G Villacís, Björn Andersson, Jaime A Costales, Michele De Noia, Sofía Ocaña-Mayorga, Cesar A Yumiseva, Mario J Grijalva, Martin S Llewellyn

    Published 2017-07-01
    “…Genomic approaches and next generation sequencing technologies have become powerful tools for investigating population diversity and structure which is a key consideration for vector control. Here we assess the effectiveness of three different 2b restriction site-associated DNA (2b-RAD) genotyping strategies in R. ecuadoriensis to provide sufficient genomic resolution to tease apart microevolutionary processes and undertake some pilot population genomic analyses.…”
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    Article
  9. 349

    Sexual epigenetics: genome-wide analysis revealed differential DNA methylation in the vector tick Haemaphysalis longicornis by Han Wang, Ziyan Bing, Lu Li, Ziwen Gao, Chuks Fidelis Nwanade, Na Dong, Ke Li, Leyan Du, Zhijun Yu

    Published 2025-06-01
    “…Abstract Background Haemaphysalis longicornis is an important vector that transmits a variety of pathogens to humans and animals. …”
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    Article
  10. 350

    Antitumor vector systems based on bioactive lectin of <em>Bacillus subtilis </em>ІМВ B-7724 by A. L. Petranovska, A. P. Kusyak, N. M. Korniichuk, S. P. Turanska, P. P. Gorbyk, N. Yu. Lukyanova, V. F. Chekhun

    Published 2021-08-01
    “…To create vector systems, nanodisperse magnetite was synthesized by the Elmore reaction. …”
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    Article
  11. 351

    Adaptable Reduced-Complexity Approach Based on State Vector Machine for Identification of Criminal Activists on Social Media by Imran Shafi, Sadia Din, Zahid Hussain, Imran Ashraf, Gyu Sang Choi

    Published 2021-01-01
    “…The feature extraction considers selective features from only 8 dimensions and follows a six step process. The extracted features are suitably used to train the state vector machine for the classification of the malicious content. …”
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    Article
  12. 352
  13. 353

    Underwater Acoustic Communication by a Single-Vector Sensor: Performance Comparison Using Three Different Algorithms by Long-xiang Guo, Xiao Han, Jing-wei Yin, Xue-song Yu

    Published 2018-01-01
    “…Which algorithm should be used to process real data, B-DFE or T-DFE, depends on the degree of coherence between different channels of the vector sensor.…”
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    Article
  14. 354

    A Rapid Spatial Carrier-Frequency Phase-Shifting Method Based on the Orthogonality of Diamond Diagonal Vectors by Xiang Qiu, Liyun Zhong, Bingbo Li, Shengde Liu, Yunfei Zhou, Jiaxiang Xiong, Jindong Tian, Xiaoxu Lu

    Published 2017-01-01
    “…Second, by using the orthogonality of diamond diagonal vectors, respectively, achieved through the subtraction and addition operations between two equal length vectors, which are generated from above four-frame phase-shifting subinterferograms, the accurate phase can be retrieved rapidly. …”
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    Article
  15. 355
  16. 356

    Sentiment Analysis for the 2024 DKI Jakarta Gubernatorial Election Using a Support Vector Machine Approach by Mariani Mariani, Dwi Shinta Angreni, Sri Khaerawati Nur, Rinianty Rinianty, Deni Luvi Jayanto

    Published 2025-04-01
    “…This study analyzes public sentiment regarding candidates in the 2024 DKI Jakarta Gubernatorial Election utilizing a Support Vector Machine (SVM) approach. Recognizing the pivotal role of social media, particularly Twitter, in shaping public opinion, the research addresses the challenges of processing large volumes of unstructured data. …”
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    Article
  17. 357
  18. 358

    Precision Measurement and Feature Selection in Medical Diagnostics using Hybrid Genetic Algorithm and Support Vector Machine by Gowri Subadra K, Sathish Babu P

    Published 2025-07-01
    “…The support vector machine (SVM) is used as the primary classifier due to its robustness in classifying medical data. …”
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    Article
  19. 359

    A new multi-attribute decision-making method for interval data using support vector machine by Ghassem Farajpour Khanaposhtani

    Published 2023-12-01
    “…There are numerous and various methods for solving the Multi-Attribute Decision-Making (MADM) problems in the literature, such as Technique for Order of Preference by Similarity to Ideal Solution (TOPSIS), Elimination and Choice Expressing Reality (ELECTRE), Analytic Hierarchy Process (AHP), etc. We have explored Support Vector Machine (SVM) as an efficient method for solving MADM problems. …”
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  20. 360

    Analisis Sentimen Wacana Pemindahan Ibu Kota Indonesia Menggunakan Algoritma Support Vector Machine (SVM) by Primandani Arsi, Retno Waluyo

    Published 2021-02-01
    “…Sentiment analysis is a process of extracting, understanding and processing unstructured data to get sentiment information which is found in an opinion sentence. …”
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    Article