Improving security and stability of ad hoc on-demand distance vector with fuzzy neural network in vehicular ad hoc network by Jiawei Mo, Baohua Huang, Xiaolu Cheng, Caixia Huang, Feng Wei

“…In order to solve the related problems in VANET, an improved AODV (ad hoc on-demand distance vector) routing protocol based on fuzzy neural network, namely, GSS-AODV (AODV with genetic simulated annealing, security and stability), is proposed. …”
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Spin and orbital Hall effects in the tight focus of coaxial superposition of two cylindrical vector beams of different-parity orders by V.V. Kotlyar, A.A. Kovalev, S.S. Stafeev, A.M. Telegin

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Real‐Time VCC Monitoring and Forecasting in HEK‐Cell‐Based rAAV Vector Production Using Capacitance Spectroscopy by Rafael Machleid, Suneetha Nunna, Ajith George, Jonas Austerjost, Magda Tomala, Izabella Surowiec

“…ABSTRACT Recombinant adeno‐associated virus (rAAV) vector production is a complex process in which the robust cultivation of human embryonic kidney cells (HEK293) plays a critical role in generating high‐quality viral vectors. …”
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Establishment and Solution Test of Wear Prediction Model Based on Particle Swarm Optimization Least Squares Support Vector Machine by Xiao Huang, Yongguo Wang, Yuhui Mao

“…To address these problems, this paper proposes a tool wear state identification model based on particle swarm optimization (PSO) and least squares support vector machine (LS-SVM), namely the PSO-LS-SVM model. …”
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An intelligent protection scheme based on support vector machine for fault detection in microgrid using transient signals in protection scheme by Tiwari Shankarshan Prasad

“…In this protection scheme, acquired samples of voltage and current from selected bus have been used and processed through the data processing tool discrete wavelet transform. …”
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Classification of Anxiety Levels of IGD Patients at RSU Royal Prima Medan Using Support Vector Machine (SVM) Algorithm by Kharisma Gunanta Ginting, Nugroho Prasetyo, Al Vino Gunawan, Magdalena Sihombing, Adli Abdillah Nababan

“…This study aims to develop a patient anxiety level classification model in the ED using the Support Vector Machine (SVM) algorithm with the application of the Synthetic Minority Oversampling Technique (SMOTE) to address the class imbalance issue. …”
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Decision Support System (DSS) for Fraud Detection in Health Insurance Claims Using Genetic Support Vector Machines (GSVMs) by Robert A. Sowah, Marcellinus Kuuboore, Abdul Ofoli, Samuel Kwofie, Louis Asiedu, Koudjo M. Koumadi, Kwaku O. Apeadu

“…The need for the development of a decision support system (DSS) for accurate, automated claim processing to offset the attendant challenges faced by the National Health Insurance Scheme cannot be overstated. …”
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Generation of THz vector and scalar vortex beams by optical rectification along threefold symmetry axis in zinc blende crystals by Yaqun Liu, Valdas Pasiskevicius

“…In particular, we show that by shaping the pump beam using an S-waveplate, the order of the generalized angular momentum is doubled in the process of optical rectification. Moreover, we show that the generated THz vector vortex beam can be decomposed into two scalar vortex beams with opposite signs of angular momentum states. …”
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Vector-like tops from first generation quarks: the role of width and coupling chiralities in same-charge production at the LHC by Stefano Moretti, Luca Panizzi, Liangliang Shang

“…Abstract In this paper, we tension the scope of the q q ¯ $$ q\overline{q} $$ , gg → T T ¯ $$ T\overline{T} $$ production process against that of the same-charge uu → TT one in searching for Vector-Like Quarks (VLQs) with electromagnetic charge +2/3 at the Large Hadron Collider (LHC). …”
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Optimasi Algoritma Support Vector Machine Berbasis PSO Dan Seleksi Fitur Information Gain Pada Analisis Sentimen by Sharazita Dyah Anggita, Ferian Fauzi Abdulloh

“… Sentiment analysis is a method for processing consumer reviews. This study examines the application of the Support Vector Machine (SVM) algorithm based on PSO and Information Gain as feature selection to filter attributes as a form of optimization. …”
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CONTAMINATION OF SOIL-TRANSMITTED HELMINTH (STH) EGGS ON FLY VECTORS AT THE SUKAWINATAN FINAL DISPOSAL SITE (TPA) IN PALEMBANG CITY by Muhammad Fadhlu Ridho, Dalilah Dalilah, Dwi Handayani, Gita Dwi Prasasty, Susilawati

“…STH transmission can occur through fecal-oral routes, skin penetration of larvae, and mechanical vectors. This study examines STH egg contamination in flies at the Sukawinatan Landfill, Palembang, to understand their role in transmission and support vector control strategies. …”
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A Modified Support Vector Machine Classifiers Using Stochastic Gradient Descent with Application to Leukemia Cancer Type Dataset by Ghadeer Jasim Mahdi

“…Support vector machines (SVMs) are supervised learning models that analyze data for classification or regression. …”
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A new alignment-free method: K-mer Subsequence Natural Vector (K-mer SNV) for classification of fungi by Lily He, Mochao Huang, Gulinisha Yiming, Yi Zhu, Ruowei Liu, Jinghan Chen, Stephen S. T. Yau

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Aplikasi Pencarian Hadis Menggunakan Vector Space Model Dengan Pembobotan TF-IDF Dan Confix-Stripping Stemmer by Novi Prisma Yunita

“…The search application was created using the Information Retrieval method. Including Vector Space Model (VSM) and Term Frequency – Inverse Document Frequency (TF-IDF) to create vector space and term weighting and stemming using the Confix-Stripping Stemmer (CS Stemmer) algorithm. …”
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Optimasi Parameter Support Vector Machine Dengan Algoritma Genetika Untuk Analisis Sentimen Pada Media Sosial Instagram by I Putu Dedy Wira Darmawan, Gede Aditra Pradnyana, Ida Bagus Nyoman Pascima

“…One of the machine learning that is often used is the Support Vector Machine (SVM). However, on non-linear problems such as sentiment analysis, SVM requires the kernel to map vectors into high-dimensional spaces to solve non-linear problems. …”
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Forecasting Inflation Rate Using Support Vector Regression (SVR) Based Weight Attribute Particle Swarm Optimization (WAPSO) by Erlin Mega Priliani, Anggyi Trisnawan Putra, Much Aziz Muslim

“…Data mining is the process of finding patterns or interesting information in selected data by using a particular technique or method. …”
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The Point Cloud Reduction Algorithm Based on the Feature Extraction of a Neighborhood Normal Vector and Fuzzy-c Means Clustering by Hongxiao Xu, Donglai Jiao, Wenmei Li

“…However, the original point cloud model is often vast and includes considerable redundant data, resulting in inefficiencies during the three-dimensional modeling process. To address this issue, this paper proposes a point cloud reduction algorithm that leverages domain normal vectors and fuzzy-c means (FCM) clustering for feature extraction. …”
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Support Vector Machine Algorithm for Mapping Land Cover Dynamics in Senegal, West Africa, Using Earth Observation Data by Polina Lemenkova

“…The results based on the processed multispectral images indicated a decrease in savannas, an increase in croplands and agricultural lands, a decline in forests, and changes to coastal wetlands, including mangroves with high biodiversity. …”
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A Forecasting Approach Combining Self-Organizing Map with Support Vector Regression for Reservoir Inflow during Typhoon Periods by Gwo-Fong Lin, Tsung-Chun Wang, Lu-Hsien Chen

“…In conclusion, the proposed model, which considers limit and higher related inputs instead of all inputs, can generate better forecasts in different clusters than are generated from the SOM process. The SOM-SVM2 model is recommended as an alternative to the original SVR (Support Vector Regression) model because of its accuracy and robustness.…”
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Construction of eukaryotic expression vector of human forkhead box class O6 and its effect on glioma cell survival by GONG Xiaoxia, LI Chao, CAO Xiyue, YANG Chengcheng, HUANG Chao

“…In conclusion, the eukaryotic expression vector of FOXO6 is constructed successfully. In vitro experiments suggest that FOXO6 may inhibit the energy metabolism and anti-oxidation process of U251 cells by inhibiting the expression of PGC-1α, and then induce the apoptosis of U251 cells. …”
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