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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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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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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End-to-End Vector Simplification for Building Contours via a Sequence Generation Model by Longfei Cui, Junkui Xu, Lin Jiang, Haizhong Qian

“…To overcome these limitations, this study proposes a Transformer-based Polygon Simplification Model (TPSM) for the end-to-end vector simplification of building contours. TPSM processes ordered vertex coordinate sequences of building contours, leveraging the inherent sequence modeling capabilities of the Transformer architecture to directly generate simplified coordinate sequences. …”
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Determinants of vector-borne avian pathogen occurrence in a mosaic of habitat fragmentation in California by Wilmer Amaya-Mejia, Lucas Pavan, Marie Lilly, Andrea Swei, Rodolfo Dirzo, Ravinder N. M. Sehgal

“…Abstract Background As habitat fragmentation increases, ecological processes, including patterns of vector-borne pathogen prevalence, will likely be disrupted, but ongoing investigations are necessary to examine this relationship. …”
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Comparison of Feature Extraction in Support Vector Machine (SVM) Based Sentiment Analysis System by Imam Fahrur Rozi, Irma Maulidia, Mamluatul Hani’ah, Rakhmat Arianto, Dika Rizky Yunianto, Ahmadi Yuli Ananta

“… Sentiment analysis plays a crucial role in natural language processing by identifying and categorizing opinions or emotions conveyed in textual data. …”
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A hyperfine-transition-referenced vector spectrum analyzer for visible-light integrated photonics by Baoqi Shi, Ming-Yang Zheng, Yue Hu, Yunkai Zhao, Zhenyuan Shang, Zeying Zhong, Zhen Chen, Yi-Han Luo, Jinbao Long, Wei Sun, Wenbo Ma, Xiu-Ping Xie, Lan Gao, Chen Shen, Anting Wang, Wei Liang, Qiang Zhang, Junqiu Liu

“…Here, we demonstrate a vector spectrum analyzer (VSA) for visible-light integrated photonics, offering spectral bandwidth of 766–795 and 518–541 nm. …”
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Genetic programming support vector machine model for a wireless intrusion detection system by A. Dhoot, A. N. Nazarov, I. M. Voronkov

“…The operability of the new flowchart of the GPSVM model is demonstrated in terms of the entry of input data and output of data after processing using the training set of the GPSVM model. …”
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Advanced Mineral Deposit Mapping via Deep Learning and SVM Integration With Remote Sensing Imaging Data by Nazir Jan, Nasru Minallah, Madiha Sher, Muhammad Wasim, Shahid Khan, Amal Al‐Rasheed, Hazrat Ali

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Cyberbullying-Related Automated Hate Speech Detection on Social Media Platforms Using Stack Ensemble Classification Method by Muhammad Mubeen, Aliza Muskan, Arslan Akram, Javed Rashid, Tagrid Abdullah N. Alshalali, Nadeem Sarwar

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Accounting Support Using Artificial Intelligence for Bank Statement Classification by Marco Lecci, Thomas Hanne

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Identification of the role of SNARE proteins in rAAV vector production through interaction with the viral MAAP by Cagla Aksu Kuz, Kang Ning, Siyuan Hao, Shane McFarlin, Xiujuan Zhang, Fang Cheng, Jianming Qiu

“…Thus, our study revealed a practical approach for producing higher yields of rAAV vectors from the media, easing downstream processes in rAAV manufacturing.…”
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Performance Evaluation of Some Selected Classification Algorithms in a Facial Recognition System by Michael Olumuyiwa Adio, Ogunmakinde Jimoh Ogunwuyi, Mayowa Oyedepo Oyediran, Adebimpe Omolayo Esan, Olufikayo Adepoju Adedapo

“…The three selected supervised learning classification algorithms: Learning Vector Quantization (LVQ), Relevance Vector Machine (RVM), and Support Vector Machine (SVM) performance were evaluated so as to know the most effective out of the selected algorithms for facial images classification. …”
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Monitoring the mean vector and the covariance ­matrix of multivariate processes with sample means and sample ranges Monitoramento do vetor de médias e da matriz de covariâncias de processos multivariados baseado nas médias e nas amplitudes amostrais by Antônio Fernando Branco Costa, Marcela Aparecida Guerreiro Machado

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Modeling and nonlinear analysis of chaotic wave processes in electrochemically active neuronal media based on matrix decomposition by A. M. Krot, S. I. Pavlov

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Heat treatment control technology of high-strength steel gears based on support vector machine by Yanzhong Wang, Libin Zhang, Yulu Su, Hai Liu, HaiLong Yang, Yanyan Chen

“…In this study, with the help of machine learning, a support vector machine prediction model of gear tissue distribution is constructed based on heat treatment parameters, and the radial basis functions kernel function is selected as the kernel function of the support vector machine to improve the accuracy of model prediction by optimizing the kernel parameters. …”
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A Khwārazmian Saint in the Golden Horde: Közlük Ata (Gözlī Ata) and the Social Vectors of Islamisation by Devin DeWeese

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DESIGN OF KIP KULIAH SELECTION SYSTEM AND RECIPIENT DETERMINATION USING SUPPORT VECTOR MACHINE (SVM) by Mozart Winston Talakua, Berny Pebo Tomasouw, Venn Yan Ishak Ilwaru

“…In this study, the Support Vector Machine (SVM) method was applied to create a system for selecting and determining KIP Kuliah recipients. …”
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