Kombinasi K-Means dan Support Vector Machine (SVM) untuk Memprediksi Unsur Sara pada Tweet by Wiga Maulana Baihaqi, Muliasari Pinilih, Miftakhul Rohmah

“…The algorithm used for the labeling process is k-means, while Support Vector Machine (SVM) is used for the classification process. …”
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Performance Comparison of Support Vector Machine (SVM) and k-Nearest Neighbors (kNN) in Verifying Material Orientation by Eldio Utama, Eko Rudiawan Jamzuri

“…This study compares the performance of Support Vector Machine (SVM) and k-Nearest Neighbors algorithms for verifying material orientation verification through automated optical inspection. …”
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A method to include exclusive heavy vector-meson production data at small x in global parton analyses by C. A. Flett, A. D. Martin, M. G. Ryskin, T. Teubner

“…We further study the constraints from the corresponding $$\Upsilon $$ Υ production process. We finish by discussing the possible effects at next-to-next-to-leading order (NNLO) through incorporation of a K factor for the exclusive heavy vector-meson coefficient function at NLO.…”
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Forecasting Air Passenger Traffic by Support Vector Machines with Ensemble Empirical Mode Decomposition and Slope-Based Method by Yukun Bao, Tao Xiong, Zhongyi Hu

“…With regard to the nonlinearity and irregularity along with implicit seasonality and trend in the context of air passenger traffic forecasting, this study proposes an ensemble empirical mode decomposition (EEMD) based support vector machines (SVMs) modeling framework incorporating a slope-based method to restrain the end effect issue occurring during the shifting process of EEMD, which is abbreviated as EEMD-Slope-SVMs. …”
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64QAM Vector Radio-Frequency Signal Generation Based on Phase Precoding and Optical Carrier Suppression Modulation by Ze Dong

“…We propose a 64-quadrature-amplitude-modulation (QAM) vector radio-frequency (RF) signal generation and detection via one intensity Mach–Zehnder modulator (MZM) by using optical carrier suppression modulation. …”
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Research on temperature and humidity compensation method of vehicle gas sensor based on SCA-PSO support vector regression by Lv Yingming, Yuan Wenping

“…In this paper, a vehicle-mounted vehicle exhaust gas detection device is designed and a sensor temperature and humidity compensation method based on Support Vector Regression (SVR), Sine Cosine Algorithm(SCA) and Particle Swarm Optimization (PSO) is proposed. …”
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Presenting the Development of the Beneish Model with Emphasis on Economic Features using Neural Network, Vector Machine, and Random Forest by Kiumars Pourgadimi, Jamal Bahri Sales, Saeed Jabbarzadeh Kangarloie, Akbar Zavar Rezaee

“…As the business process becomes more complex, financial statement distortion risk increases. …”
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Identifying Barong Tagalog Textile Using Convolutional Neural Network and Support Vector Machine with Structural Pattern Segmentation by Jeff B. Totesora, Edward C. Torralba, Cyrel O. Manlises

“…Especially convolutional neural networks (CNNs) and support vector machines (SVMs) were used. The system employed a Raspberry Pi (RPI) V4 as the microprocessor and an RPI Camera V2 for image capture. …”
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Flies as Vectors of Foodborne Pathogens Through Food Animal Production: Factors Affecting Pathogen and Antimicrobial Resistance Transmission by Eshita Shahanaz, Kirsten M. Zwally, Cameron Powers, Brandon Lyons, Phillip Kaufman, Giridhar Athrey, Thomas M. Taylor

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Lithium inventory estimation of battery using incremental capacity analysis, support vector machine, particle swarm optimisation by Xingbo Zhang, Kui Chen, Zhou Long, Yang Luo, Yang Li, Jiamin Zhu, Kai Liu, Guoqiang Gao, Guangning Wu

“…Lithium inventory is an important indicator for assessing the LIB ageing process. Incremental capacity (IC), particle swarm optimisation (PSO) and support vector machine (SVM) are proposed to estimate the LIBs lithium inventory. …”
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Differential Protection of Main Transformer of Doubly-Fed Wind Farm Based on Current Synthesized Vector Trajectory Characteristics by Xupeng SONG, Xiaoyang YANG, Zhengzhen FAN

“…This paper proposes a novel time-domain protection scheme based on the characteristics of the current synthesis vector trajectory. Based on the intrinsic differences between internal faults and external faults of transformers, two current synthesis vectors are constructed accordingly, and corresponding protection schemes are designed according to the trajectory characteristics of each synthesis vector. …”
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User Analysis of Info BMKG Application in The Perspective of Human Computer Interaction Using Support Vector Machine Algorithm by Ilham Fannani, Enggar Novianto, Alfin Syarifuddin Syahab

“…The results of the sentiment analysis process of testing 3000 review data using the fold = 5 test value in the Support Vector Machine (SVM) method obtained an accuracy of 85.54 % which produces predictions on data testing, namely 1500 positive reviews and 1500 negative reviews 1500 reviews.…”
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Multiple Criteria Decision-Making Based on Vector Similarity Measures under the Framework of Dual Hesitant Fuzzy Sets by Juan Luis García Guirao, M. Sarwar Sindhu, Tabasam Rashid, Agha Kashif

“…Similarity measures have a great importance in the decision-making process. In order to identify the similarity between the options, many experts have established several types of similarity measures on the basis of vectors and distances. …”
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Longitudinal Multi-Channel Focused Vortex and Vector Beams Generation by Quarter-Wave Plate Meta-Atom Metasurfaces by Teng Ma, Kaixin Zhao, Manna Gu, Haoyan Zhou, Chunxiang Liu, Chuanfu Cheng, Qingrui Dong, Li Ma

“…However, relevant longitudinal studies have been constrained to designing the metasurface of half-wave plate (HWP) meta-atoms and generating either non-focused or two-channel vortex and vector beams. In this study, we propose a metasurface composed of quarter-wave plate (QWP) meta-atoms to generate the longitudinal multi-channel focused vortex and vector beams. …”
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A real-time wireless wearable electroencephalography system based on Support Vector Machine for encephalopathy daily monitoring by Qing Zhang, Pingping Wang, Yan Liu, Bo Peng, Yufu Zhou, Zhiyong Zhou, Baotong Tong, Bensheng Qiu, Yishan Zheng, Yakang Dai

“…Therefore, we proposed a wireless wearable electroencephalography system for encephalopathy daily monitoring, named as Brain-Health, which focused on the following three points: (a) the monitoring device integrated with electroencephalography acquisition sensors, signal processing chip, and Bluetooth, attached to a sport hat or elastic headband; (b) the mobile terminal with dedicated application, which is not only for continuous recording and displaying electroencephalography signal but also for early warning in real time; and (c) the encephalopathy’s classification algorithm based on intelligent Support Vector Machine, which is used in a new application of wearable electroencephalography for encephalopathy daily monitoring. …”
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Research on the Liquor Yield Prediction Model Integrating Hybrid Kernel Support Vector Regression and Dung Beetle Optimizer by Qinwen Deng, Yibo Xu, Qiang Han, Suyi Zhang, Xianguo Tuo

“…Based on actual liquor production data, a Multi Kernel Support Vector Regression (MKSVR) prediction model is established using the Stacking model fusion method to improve the model’s generalization ability. …”
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Vector Autoregressive Hierarchical Hidden Markov Models for Extracting Finger Movements Using Multichannel Surface EMG Signals by Nebojša Malešević, Dimitrije Marković, Gunter Kanitz, Marco Controzzi, Christian Cipriani, Christian Antfolk

“…We present a novel computational technique intended for the robust and adaptable control of a multifunctional prosthetic hand using multichannel surface electromyography. The initial processing of the input data was oriented towards extracting relevant time domain features of the EMG signal. …”
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DVF-NET: Bi-Temporal Remote Sensing Image Registration Network Based on Displacement Vector Field Fusion by Mingliang Xue, Yiming Zhang, Shucai Jia, Chong Cao, Lin Feng, Wanquan Liu

“…DVF-NET integrates two displacement vector fields to address nonlinear distortions caused by significant variations between images, enabling more precise image alignment. …”
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Asymmetric Space Vector Modulation With Positive and Negative DC-Bus Clamping: A Strategy for Enhanced THD and Efficiency by Balram Kumar, Sankar Peddapati, Praveen Kumar Bonthagorla

“…This work proposes a two-stage modified T-type multilevel boost inverter and an asymmetric space vector modulation (ASVM) technique based on DC-bus clamping. …”
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An experience of scaling and intensifying the industrial production of the Gam-COVID-Vac vector adenovirus vaccine in the limiting conditions of the pandemic by A. N. Morozov, I. R. Yakhin, N. V. Stratonova, M. V. Kutskir, D. A. Poteryaev, R. A. Khamitov

“…Gamaleya developed an innovative vector vaccine, Gam-COVID-Vaс, for the prevention of coronavirus disease caused by the SARS-CoV-2 virus. …”
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