Construction and functional identification of overexpression vector of the peach PpCLH1 gene by LIU Xin, ZHANG Xiaoyu, MENG Junren, LI Ang, DUAN Wenyi, SUN Shihang, PAN Lei, ZENG Wenfang, WANG Zhiqiang, NIU Liang

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Cooling Load Prediction via Support Vector Regression in Individual and Hybrid Approaches by Honglei Yao, Andrew Topper

“…The application of Support Vector Regression Model to the prediction of cooling load is explored in this study. …”
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Assessment of Ripening Degree of Avocado by Electrical Impedance Spectroscopy and Support Vector Machine by Monzurul Islam, Khan Wahid, Anh Dinh

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A Robust Capon Beamforming Algorithm with Desired Signal Steering Vector Correction by Zhiqi Gao, Bowen Wu, Pingping Huang, Wei Xu, Weixian Tan, Zhixia Wu

“…The core of the proposed robust Capon beamforming technique lies in leveraging the orthogonality between the steering vector and the noise space, the estimated expected signal steering vector is corrected. …”
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ENSEMBLE RESAMPLING SUPPORT VECTOR MACHINE, MULTINOMIAL REGRESSION TO MULTICLASS IMBALANCED DATA by Laila Qadrini, Hikmah Hikmah, Elviani Tande, Ignasius Presda, Aulia Atika Maghfirah, Nilawati Nilawati, Handayani Handayani

“…This issue gives rise to prediction errors in the classification process, which in turn affects the sensitivity, particularly in the minority class. …”
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Characteristics of the consequences of financing international terrorism as the main vectors of the development of financial monitoring by I.L. Hrabchuk, T.O. Vlasiuk

“…In the research process, such methods as analysis and synthesis, structural-logical, critical analysis, systematic generalization, induction and deduction were used. …”
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Exploration of Word Embeddings with Graph-Based Context Adaptation for Enhanced Word Vectors by Tanvi Sandhu, Ziad Kobti

“…Arranging words that are similar in meaning close to each other in the vectorized representation helps improve how well the system performs in different Natural Language Processing related tasks. …”
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Generate vector graphics of fine-grained pattern based on the Xception edge detection. by Anqi Chen, Yicui Peng, Meng Li, Hao Chen, Chang Liu, Jinrong Hu, Xiang Wen, Guo Huang

“…In this paper, we take Qiang embroidery patterns as an example due to containing fine-grained patterns, which is more suitable for the study of image processing and pattern recognition techniques. We firstly adopt appropriate pre-processing methods, improved adaptive median filtering(IAMF) and non-local mean for the two different types of Qiang embroidery patterns to reduce image noise. …”
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Perception of vector and triangle representations of fuzzy number most possible value changes by Dorota Kuchta, Jerzy Grobelny, Rafał Michalski, Jan Schneider

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Performance of Portable Sparse Matrix-Vector Product Implemented Using OpenACC by Kinga Stec, Przemyslaw Stpiczynski

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Fruit classification system based on the pressure sensor coupled with support vector machine by WANG Feifei, LIU Peng, SUN Fengwei, ZHOU Qiong

“…The obtained capacitance value was expressed in the form of digital level, and the data was extracted by data processing software, and the capacitance data was processed by SVM algorithm with kernel functions to determine the category of a fruit. …”
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Optimized Support Vector Machine Assisted BOTDA for Temperature Extraction With Accuracy Enhancement by Hongna Zhu, Lei Yu, Yufeng Zhang, Le Cheng, Zhenyu Zhu, Jiayin Song, Jinli Zhang, Bin Luo, Kai Yang

“…Brillouin optical time domain analyzer (BOTDA) assisted by optimized support vector machine (SVM) algorithm for accurate temperature extraction is presented and experimentally demonstrated. …”
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A Combinatorial Approximation Algorithm for the Vector Scheduling with Submodular Penalties on Parallel Machines by Bihui Cheng, Wencheng Wang

“…We are given n jobs and m parallel machines, where each job is associated with a d-dimensional vector. Each job can either be rejected, incurring a rejection penalty, or accepted and processed on one of the m parallel machines. …”
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Artificial Neural Network vs. Support Vector Machine For Speech Emotion Recognition by Mohamed. A. Ahmad

“…Furthermore, Speech Emotion Recognition (SER) a pivotal part of influential human interaction and it has been a modern challenge to speech processing. SER has two basic phases; which are, features extraction and emotion classification. …”
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Research on Multi-Scale Vector Road-Matching Model Based on ISOD Descriptor by Yu Yan, Ying Sun, Shaobo Wang, Yuefeng Lu, Yulong Hu, Miao Lu

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Implementasi Algoritma Support Vector Machine (SVM) Untuk Klasifikasi Penyakit Stroke by Danis Rifa Nurqotimah, Ahsanun Naseh Khudori, Risqy Siwi Pradini

“…The researchers implemented a method to classify stroke with the Support Vector Machine (SVM) algorithm. The SVM is a learning method used in medical diagnosis for classification, the researchers processed data sets using the Orange tool. …”
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Breast Tumor Diagnosis Based on Molecular Learning Vector Quantization Neural Networks by Chun Huang, Jiaying Shao, Baolei Peng, Qingshuang Guo, Panlong Li, Junwei Sun, Yanfeng Wang

“…However, these systems lack self‐learning capabilities for intelligent diagnostics in biological samples, and their data processing capabilities are limited. Here, a molecular learning vector quantization neural network (LVQNN) model based on DNA strand displacement (DSD) technology for breast tumor diagnosis is developed. …”
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A LSTM-RNN-Assisted Vector Tracking Loop for Signal Outage Bridging by Di Liu, Qingyuan Xia, Changhui Jiang, Chaochen Wang, Yuming Bo

“…LSTM-RNN obtained excellent performance in time-series data processing; therefore, in this paper, the LSTM-RNN was employed to predict the navigation filter innovative sequence values during the signal outage, and then, the predicted innovative values were employed to aid the navigation filter for navigation solution estimation. …”
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Interpretable Machine Learning for High-Accuracy Reservoir Temperature Prediction in Geothermal Energy Systems by Mohammadali Ahmadi

“…This study conducts a comprehensive comparative analysis of advanced machine learning models, including support vector regression (SVR), random forest (RF), Gaussian process regression (GP), deep neural networks (DNN), and graph neural networks (GNN), to evaluate their predictive performance for reservoir temperature estimation. …”
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High-Resolution Single-Pixel Imaging of Spatially Sparse Objects: Real-Time Imaging in the Near-Infrared and Visible Wavelength Ranges Enhanced with Iterative Processing or Deep Le... by Rafał Stojek, Anna Pastuszczak, Piotr Wróbel, Magdalena Cwojdzińska, Kacper Sobczak, Rafał Kotyński

“…In the first stage, the vector of SPI measurements is multiplied by the generalized inverse of the measurement matrix. …”
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