A Model Predictive Algorithm for Active Control of Nonlinear Noise Processes by Qi-Zhi Zhang, Woon-Seng Gan, Ya-li Zhou

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An Effective ABC-SVM Approach for Surface Roughness Prediction in Manufacturing Processes by Juan Lu, Xiaoping Liao, Steven Li, Haibin Ouyang, Kai Chen, Bing Huang

“…In this study, support vector machine (SVM) is applied to develop prediction models for machining processes. …”
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OPTIMIZATION OF THE ELECTRO-ACOUSTIC SPUTTERING PROCESS BY THE MICROHARDNESS CRITERION by D.N. MALEYEV, W.H. AL-TIBBI, D.A. CHILIKIN

“…Influence of acoustic parameters (amplitude of ultrasonic oscillations A (mcm), frequency of ultrasonic oscillations (Khz), and a corner between the axis of the wave guide and the vector direction of longitudinal-twisting oscillations (degrees)) process of an electroacoustic dusting of the protective coatings on quality of coating (micro hardness) is investigated. …”
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The usage of dataflow model in GPU and big data processing by Huayou SU, Songzhu MEI, Rongchun LI, Yong DOU

“…Dataflow model is an efficient computing model.It has been widely used in software and hardware fields due to its natural advantages in parallelism.In terms of hardware architecture,the dataflow model leads the computer architecture to the direction of supporting higher concurrency from the traditional von Neumann architecture.The stream processor based on the long vector processing unit and the SIMT GPU are two instances of using dataflow technology.In terms of programming models,dataflow ideas have been widely used in the field of big data programming models,such as MapReduce and Spark.The architecture of NVIDIA GPU and CUDA programming model were analyzed from the perspective of dataflow model.The applying and trend of dataflow and GPU were analyzed in big data processing,and ideas and methods were provided for applying GPU-based systems to the field of big data processing.…”
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Application of Image Processing Technology in the Diagnosis of Football Injury by Liyun Xu, Zhubo Xu

“…This paper firstly takes football clubs as the main research object and analyzes and explores the specific utility of image segmentation and feature recognition in sports injury image processing. Then, starting from the relevant image features, the paper analyzes and compares the sensitivity of support vector machine pattern recognition and neural network pattern recognition in football injury diagnosis. …”
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A vision model for automated frozen tuna processing by Richeng Wang, Xiongsheng Zheng, Yan Chen

“…Abstract Accurate and rapid segmentation of key parts of frozen tuna, along with precise pose estimation, is crucial for automated processing. However, challenges such as size differences and indistinct features of tuna parts, as well as the complexity of determining fish poses in multi-fish scenarios, hinder this process. …”
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Effective Parallel Processing Social Media Analytics Framework by Ravindra Kumar Singh, Harsh Kumar Verma

“…The widespread adoption of opinion mining and sentiment analysis in higher cognitive processes encourages the need for real-time processing of social media data to capture insights about user's sentiment polarity, user’s opinion, and current trends of the domain. …”
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Improved Variational Bayes for Space-Time Adaptive Processing by Kun Li, Jinyang Luo, Peng Li, Guisheng Liao, Zhixiang Huang, Lixia Yang

“…Furthermore, this method fully exploits the joint sparsity of the Multiple Measurement Vector (MMV) model to achieve greater sparsity without compromising accuracy, and employs a first-order Taylor expansion to eliminate grid mismatch in the dictionary. …”
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Support Vector Machine for Prediction of the Electronic Factors of a Schottky Configuration Interlaid with Pure PVC and Doped by Sm2O3 Nanoparticles by Yashar Azizian‐Kalandaragh, Ali Barkhordari, Yosef Badali

“…Abstract This work uses the Support Vector Machine (SVM) to predict the main electronic variables of metal‐semiconductor (MS) and metal‐nanocomposite‐semiconductor (MPS) configurations, i.e., leak current (I0), the height of the potential barrier (ΦB0), ideality coefficient (n), series/shunt resistances (Rs/Rsh), rectification ratio (RR), and surface/interface states density (Nss), along with current conduction/transport mechanisms occurred into them at the reverse/forward biases by analyzing the I–V measurements. …”
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Optimization of multi-element geochemical anomaly recognition in the Takht-e Soleyman area of northwestern Iran using swarm-intelligence support vector machine by Hamid Sabbaghi, Seyed Hassan Tabatabaei, Nader Fathianpour

“…The grasshopper-optimized support vector machine was proven to be a rigorous approach for detecting multi-element geochemical anomalies and can also be extended to other geoscientific applications. …”
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The Influence of Contexts in the Process of Choosing a University Product by Dumitru Miron, Raluca Ecaterina Brandabur, Daniel Nicolae Măiță, Flavius Cosmin Darie, Dumitru Goldbach, Ion-Dănuț Lixandru

“…Furthermore, the research sought to establish the desirable level of econometric robustness of the basic vectors in the decision-making process regarding the selection of a specific set of competencies and cognitive skills promised by the study programmes. …”
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Improve the Accuracy of Support Vector Machine Using Chi Square Statistic and Term Frequency Inverse Document Frequency on Movie Review Sentiment Analysis by Ukhti Ikhsani Larasati, Much Aziz Muslim, Riza Arifudin, Alamsyah Alamsyah

“…Data processing can be done with text mining techniques. …”
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PRINCIPAL COMPONENT ANALYSIS-VECTOR AUTOREGRESSIVE INTEGRATED (PCA-VARI) MODEL USING DATA MINING APPROACH TO CLIMATE DATA IN THE WEST JAVA REGION by Devi Munandar, Budi Nurani Ruchjana, Atje Setiawan Abdullah

“…Pre-processing is an analysis of raw climate data. The data mining process determines the proportion of each component of PCA and is selected as variables in the VARI process. …”
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Comparison of Support Vector Machine (SVM) and Random Forest (RF) Algorithm Performance with Random Undersampling Technique to Predict Gestational Diabetes Mellitus Risk by Annisa Damayanti, Anna Baita

“…One of the machine learning methods that can be used to predict GDM is the Support Vector Machine (SVM) algorithm and the Random Forest (RF) algorithm. …”
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A Method to Detect Concealed Damage in Concrete Tunnels Using a Radar Feature Vector and Bayesian Analysis of Ground-Penetrating Radar Data by Junfang Wang, Heng Chen, Jianfu Lin, Xiangxiong Li

“…This study presents a probabilistic, data-driven method for GPR-based damage detection, which exempts the requirement in the training process of supervised ML models. The approach involves extracting a radar feature vector (RFV), building a Bayesian baseline model with healthy data, and quantifying damage severity with the Bayes factor. …”
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Damage Classification Approach for Concrete Structure Using Support Vector Machine Learning of Decomposed Electromechanical Admittance Signature via Discrete Wavelet Transform by Jingwen Yang, Demi Ai, Duluan Zhang

“…Then these indicators, incorporated with traditional ones including root mean square deviation (RMSD), baseline-changeable RMSD named RMSDk, correlation coefficient (CC), and mean absolute percentage deviation (MAPD), were processed by a support vector machine (SVM) model, and finally damage type could be automatically classified and identified. …”
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MODEL OF A MATRIX CROSSCORRELATION FUNCTION OF THE PROBING AND REFLECTED VECTOR SIGNALS FOR A CONCEPTUAL DESIGN OF A SYNTHETIC APERTURE RADAR ON AN AERIAL CARRIER by R. N. Akinshin, O. V. Esikov, D. A. Zatuchny, A. V. Peteshov

“…Taking into account the developed models for the formation of the vector sounding signal and the matrix response function of the distributed radar object, a block-diagram of the model of the matrix cross-correlation function of the emitted and reflected vector signals is proposed. …”
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Synergizing remote sensing, support vector machine, and aeromagnetic data for precise lithological and mineral potential mapping: a case study from Egypt by Hatem M. El-Desoky, Ahmed M. Abdel-Rahman, Hamada El-Awny, Wael Fahmy, Reda Abdu Yousef El-Qassas, Kamal Abdelrahman, Hassan Alzahrani, Peter Andráš, Yahia Z. Amer, Ahmed M. Eldosouky

“…Therefore, we effectively mapped the exposed rock units in the Hamash region of the Eastern Desert of Egypt by using Support Vector Machine (SVM) to Sentinel 2 data through executing machine learning algorithms (MLAs). …”
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Klasifikasi Ulasan Palsu Menggunakan Borderline Over Sampling (BOS) dan Support Vector Machine (SVM) (Studi Kasus : Ulasan Tempat Makan) by Aisyah Awalina, Fitra Abdurrachman Bachtiar, Indriati Indriati

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Prediction of the Strength Properties of Carbon Fiber-Reinforced Lightweight Concrete Exposed to the High Temperature Using Artificial Neural Network and Support Vector Machine by Harun Tanyildizi

“…The artificial neural network and support vector machine were used to estimate the compressive strength and flexural strength of carbon fiber-reinforced lightweight concrete with the silica fume exposed to the high temperature. …”
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