SENTIMENT ANALYSIS OF REVIEWS ON X APPS ON GOOGLE PLAY STORE USING SUPPORT VECTOR MACHINE AND N-GRAM FEATURE SELECTION by Fahri Aimar Kusumo, Dewi Retno Sari Saputro, Purnami Widyaningsih

“…Text data with a large number of features causes data imbalance and affects the classification process so it is necessary to do feature selection. …”
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Prediction Model For Students' On-Time Graduation Using Algorithm Support Vector Machine (SVM) Based  Particle Swarm Optimization (PSO) by Syarif Hidayatulloh, Gandung Triyono, Kiki Ari Suwandi kosasih

“…However, some students cannot complete their studies on time. In the process of completing the study, several problems emerged, one of which was in completing studies on time, there are problems that arise, such as students who are still repeating because there are grades that have not passed in the course, the Grade Point Average (GPA) is still lacking, the Semester Achievement Index (SAI) is still below the minimum, the total number of semester credit units (total credits) which still have not reached the minimum limit, then the number of active lecture statuses still exceeds 8 semesters, so this problem will have an impact on the accuracy of student study graduate data, where the target performance indicator for graduates is on time The student's target of graduating on time has not been achieved. …”
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Leishmania major glycosylation mutants require phosphoglycans (lpg2-) but not lipophosphoglycan (lpg1-) for survival in permissive sand fly vectors. by Anna Svárovská, Thomas H Ant, Veronika Seblová, Lucie Jecná, Stephen M Beverley, Petr Volf

“…Studies of a limited number of fly/parasite species combinations have implicated parasite surface molecules in this process and here we provide further evidence in support of this proposal. …”
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PREDICTION MODEL FOR STUDENTS' ON-TIME GRADUATION USING ALGORITHM SUPPORT VECTOR MACHINE (SVM) BASED  PARTICLE SWARM OPTIMIZATION (PSO) by Syarif Hidayatulloh, Gandung Triyono, Kiki Ari Suwandi kosasih

“…However, some students cannot complete their studies on time. In the process of completing the study, several problems emerged, one of which was in completing studies on time, there are problems that arise, such as students who are still repeating because there are grades that have not passed in the course, the Grade Point Average (GPA) is still lacking, the Semester Achievement Index (SAI) is still below the minimum, the total number of semester credit units (total credits) which still have not reached the minimum limit, then the number of active lecture statuses still exceeds 8 semesters, so this problem will have an impact on the accuracy of student study graduate data, where the target performance indicator for graduates is on time The student's target of graduating on time has not been achieved. …”
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Implementation of Insecticide for Fogging and Larvicidation in Dengue Fever Control and Its Impact on Vector Resistance in Banjarmasin City: A Qualitative Analysis by Juhairiyah, Muhammad Rasyid Ridha, Liestiana Indriyati, Ririh Yudhastuti, Triwibowo Ambar Garjito, Muhammad Choirul Hidajat, Wahyu Pudji Nugraheni, Nurul Hidayah, Isnawati, Babucarr Jassey

“…Data were analyzed using a deductive Input-Process-Output (IPO) model and inductive gap analysis. …”
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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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A Dual-Stream Deep Learning Architecture With Adaptive Random Vector Functional Link for Multi-Center Ischemic Stroke Classification by Mahesh Anil Inamdar, Anjan Gudigar, U. Raghavendra, Massimo Salvi, Raja Rizal Azman Bin Raja Aman, Nadia Fareeda Muhammad Gowdh, Izzah Amirah Binti Mohd Ahir, Mohd Salahuddin Bin Kamaruddin, Khairul Azmi Abdul Kadir, Filippo Molinari, Ajay Hegde, Girish R. Menon, U. Rajendra Acharya

“…The integration of explainable Artificial Intelligence tools improve clinical trustworthiness by offering clear insight into the model’s decision-making process. These outcomes demonstrate the model’s potential to use in actual clinical settings for quick and accurate stroke diagnosis, along with its interpretability and computational efficiency.…”
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Machine learning-powered data cleaning for LEGEND: a semi-supervised approach using affinity propagation and support vector machines by E León, A Li, M A Bahena Schott, B Bos, M Busch, J R Chapman, G L Duran, J Gruszko, R Henning, E L Martin, J F Wilkerson

“…Neutrinoless double-beta decay ( $0\nu\beta\beta$ ) is a rare nuclear process that, if observed, will provide insight into the nature of neutrinos and help explain the matter-antimatter asymmetry in the Universe. …”
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Multi-label text classification via secondary use of large clinical real-world data sets by Sai Pavan Kumar Veeranki, Akhila Abdulnazar, Diether Kramer, Markus Kreuzthaler, David Benjamin Lumenta

“…However, recent advances in natural language processing offer a promising avenue for developing applications that assist clinicians, thereby alleviating their administrative burdens. …”
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Pulse‐level work state recognition of multifunction radar based on MC‐RSG by Zijun Qin, Wenjuan Ren, Zhanpeng Yang, Xian Sun

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Opinion mining using ensemble model for restaurant feedback analysis by Rohan S. Kamath, M. R. Kaushik, M. Ramakrishna

“…Abstract The research work introduces a new method for sentiment analysis in the context of restaurant evaluations, emphasizing the optimization of the trade-off between processing time and accuracy. A majority voting classifier is used in our research to evaluate and merge multiple machine learning models, such as Decision Tree, Support Vector Machine, Random Forest, Logistic Regression, K-Nearest Neighbors, Multinomial Naive Bayes, and an Ensemble Method. …”
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Implementation of the Support Vector Machine (SVM) Algorithm on Sentiment Analysis of Public Opinion on The Prohibition of the use of Syrupy Drugs for Kidney Health by Galih Purnomo, Rumini Rumini, Tri Susanto

“…Data was collected through web scraping with 5000 initial data, and after preprocessing, 4794 data were processed. The analysis results show that the linear kernel has the highest accuracy of 75.63%, followed by the sigmoid kernel 75.29%, RBF 74.79%, and polynomial 71.09%. …”
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High resistance fault detection in DC microgrid using Hilbert Huang transform and vector-based ensemble optimized LSTM networks by H. K. Prashanth Kumar, Ritesh Dash, K. Jyotheeswara Reddy, Nageswara Rao Atyam, Bhabasis Mohapatra

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Implementasi Chatbot pada Telegram sebagai Monitoring Assistant dengan Analisis Teks Klasifikasi Menggunakan Metode Support Vector Machine by Dwi Lestari, Lukman Subekti

“…Tujuan dari penelitian ini adalah membuat klasifikasi intent pada chatbot dengan menggunakan teknologi Natural Language Processing dan algoritma Support Vector Machine (SVM). …”
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Rapid Identification of Nine Easily Confused Mineral Traditional Chinese Medicines Using Raman Spectroscopy Based on Support Vector Machine by Jing Ming, Long Chen, Yan Cao, Chi Yu, Bi-Sheng Huang, Ke-Li Chen

“…Mineral traditional Chinese medicines (TCMs) are natural minerals, mineral processing products, and some fossils of animals or animal bones that can be used as medicines. …”
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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

“…In this paper, a novel scheme to generate multichannel single sideband (SSB) optical signals enabled by one single I/Q modulator based on digital signal processing (DSP) is proposed, which is more flexibility and stability for the future 5G broadband access network instead of complex multiple lasers construction. …”
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Multi-behavioral job recommendation integrating knowledge graph by Bin LIU, Xiaoyu LEI, Gege LIU, Shiyuan ZHAN, Xin GAO, Xiaoyan YANG

“…To improve the accuracy of job recommendations,a multi-behavioral job recommendation integrating knowledge graph (MB-JRIKG) was proposed based on the implicit preference information of both job seekers and recruiters in the process of "browsing job positions → submitting resumes → receiving feedback from recruiters". …”
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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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Recognition of Acoustic Signals of Loaded Synchronous Motor Using FFT, MSAF-5 and LSVM by Adam GLOWACZ

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