SVM action recognition model based on skeletal key point analysis with posture sensors to help sports training by Yixuan Cao, Tie Li

“…The study employs the quaternion method to model the essential features of the human skeleton, acquires motion data through a posture sensor, and performs preliminary data processing using the Kalman filtering technique. Subsequently, it utilizes a support vector machine to complete the recognition and classification of actions. …”
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Implementation of SVM Algorithm to Predict Song Popularity based on Sentiment Analysis of Lyrics by Quiin Latifah Almatin Lubis, Arif Akbarul Huda

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Research on the Horizontal Yaw Dynamic Characteristics of Pump-Jet Propulsors Based on Dynamic Mesh Technology by Tongqing Xue, Wei Han, Rennian Li, Sicong Zhang, Ran Chen, Wangxu Li

“…By using dynamic mesh simulation methods, a systematic study was conducted on the fluid dynamic behavior of pump-jet vector propulsor submarines during oblique and yawing processes, supplemented by the scientific validity of related experimental verification results. …”
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PSLDV-Hop: a robust localization algorithm for WSN using PSO and refinement process by Bhupinder Kaur, Deepak Prashar, Arfat Ahmad Khan, Seifedine Kadry, Jungeun Kim

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Schmallenberg disease: literature review and epizootic situation in the world and in Russia by O. A. Burova, O. I. Zakharova, N. N. Toropova, E. A. Liskova, I. V. Yashin, A. A. Blokhin

“…In 2012-2013, the infection spread to the most part of Northwestern Europe. Insect vectors were the main mechanism for the spread of the disease. …”
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THE MODEL OF STATISTICAL CHARACTERISTICS DETERMINATION OF NONLINEAR STOCHASTIC PROCESSES USING MULTIDIMENSIONAL DIFFERENTIAL TRANSFORMATIONS by Oleksandr Y. Permiakov, Serhii V. Kovbasiuk, Ihor D. Varlamov

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MicroRNA-34-5p regulates the expression of ecdysteroid receptor (ECR) in the process of salivary gland degeneration of ticks by Shanming Hu, Yanan Wang, Yongzhi Zhou, Jie Cao, Houshuang Zhang, Jinlin Zhou

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Non-radial functions, nonlocal operators and Markov processes over p-adic numbers by Leonardo Fabio Chacón-Cortés, Oscar Francisco Casas-Sánchez

“…The fundamental solutions of these equations are transition functions of Markov processes on an n-dimensional vector space over the p-adic numbers. …”
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Impact of Thermal Variation on Egg Hatching and the Life Cycle of <i>Aedes</i> (<i>Protomacleaya</i>) <i>terrens</i> (Diptera: Culicidae) in a Laboratory Environment by Rayane Dias, Manuella Pereira Cerqueira Leite, Guilherme Sanches Corrêa-do-Nascimento, Gabriel Silva Santos, Cecilia Ferreira de Mello, Nathália Menezes de Almeida, Jeronimo Alencar

“…Evaluating the development process of mosquito species under the influence of temperature is essential for understanding their ecology and geographical distribution, as well as assessing their potential as vectors of pathogens. …”
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Thermographic Data Processing and Feature Extraction Approaches for Machine Learning-Based Defect Detection by Alexey Moskovchenko, Michal Svantner

“…Various machine learning models and data pre-processing techniques were evaluated for their effectiveness in detecting and locating impact damage. …”
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: Scalable and Energy-Efficient Processing of Continuous Range Queries for Location-Aware Mobile Computing by MoonBae Song

“…In our scheme, each mobile client (MC) is aware of its nearby monitoring queries by leveraging its processing power. The proposed Sleepwalk has three major contributions. …”
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ОPTIMAL ALGORITHM OF COMPLEX PROCESSING OF INFORMATION ABOUT THE SPATIAL POSITION OF AEROLOGICAL RADIOSONDE by E. A. Bolelov, Yu. M. Ermoshenko

“…In this article, a solution of Stratonovich was obtained for the case where the dynamics of the state vector in time is described by the quasi-random process.…”
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Signal-piloted processing and machine learning based efficient power quality disturbances recognition. by Saeed Mian Qaisar

“…It can result in a huge amount of unnecessary information being collected, processed, and transmitted. Consequently, needless processing activities, power consumption and latency can occur. …”
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Research and implementation of a full-process academic early warning and tracking evaluation system by Li Qipeng, Zeng Songwei

“…This paper uses Particle Swarm Optimization (PSO) to optimize Support Vector Machine (SVM), and combines Web and mini-program technology to implement a whole-process academic warning tracking and evaluation system, which effectively improves the accuracy and timeliness of warnings, filling in the gaps of traditional academic warning systems. …”
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Real-Time Detection and Process Status Integration System for High-Pressure Gas Leakage by Nian-Ze Hu, Hao-Lun Huang, Chun-Min Tsai, Yen-Yu Wu, You-Xin Lin, Chih-Chen Lin, Po-Han Lu

“…To promptly recover gas during leakage incidents, the efficiency of the gas filling process was improved by reducing resource wastage. …”
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Machine Learning-based for Automatic Detection of Corn-Plant Diseases Using Image Processing by Geofrey Prudence Baitu, Y. Benal Öztekin, Omsalma Alsadig Adam Gadalla, Khaled Adil Dawood Idress

“…The highest accuracy scores were obtained with support vector machine and artificial neural networks, respectively.…”
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Multi-Objective Parameter Optimization of Rotary Screen Coating Process for Structural Plates in Spacecraft by Yanhui Guo, Yanpeng Chen, Peibo Li, Xinfu Chi, Yize Sun

“…In order to solve the optimization problem, 108 sets of process experiments were designed, and then the experimental data were used to train a Back Propagation Neural Network (BPNN), a Least Squares Support Vector Machine (LSSVM), and Random Forest (RF) to obtain the best prediction model for the process parameters. …”
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Implementing and evaluating the quality 4.0 PMQ framework for process monitoring in automotive manufacturing by Fathy Alkhatib, Mohamed Allam, Vikas Swarnakar, Juman Alsadi, Maher Maalouf

“…The study relied on various ML algorithms, such as Decision Trees (DT), Random Forest (RF), Gradient Boosting Machine (GBM), Logistic Regression (LR), Support Vector Machine (SVM), and Artificial Neural Networks (ANN), to classify and predict defects in engine valves during manufacturing processes. …”
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Automated detection and identification of white-backed planthoppers in paddy fields using image processing by Qing YAO, Guo-te CHEN, Zheng WANG, Chao ZHANG, Bao-jun YANG, Jian TANG

“…A new three-layer detection method was proposed to detect and identify white-backed planthoppers (WBPHs, Sogatella furcifera (Horváth)) and their developmental stages using image processing. In the first two detection layers, we used an AdaBoost classifier that was trained on a histogram of oriented gradient (HOG) features and a support vector machine (SVM) classifier that was trained on Gabor and Local Binary Pattern (LBP) features to detect WBPHs and remove impurities. …”
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Spectral feature modeling with graph signal processing for brain connectivity in autism spectrum disorder by Ayesha Jabbar, Huang Jianjun, Muhammad Kashif Jabbar, Khalil ur Rehman, Anas Bilal

“…These are classified using a Support Vector Machine (SVM) with a radial basis function (RBF) kernel. …”
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