State-Based Fault Diagnosis of Finite-State Vector Discrete-Event Systems via Integer Linear Programming by Qinrui Chen, Mubariz Garayev, Ding Liu

“…Vector DES models consist of an arithmetic additive structure in both the state space and state transition function. …”
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Analysis of the Impact of Global Oil Prices On GDP (on the Example of the Azerbaijan Republic) by N. S. Ayyubova

“…When forming the VECM model, the hypotheses put forward in the work were tested using econometric tests. …”
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From elementary flux modes to elementary flux vectors: Metabolic pathway analysis with arbitrary linear flux constraints. by Steffen Klamt, Georg Regensburger, Matthias P Gerstl, Christian Jungreuthmayer, Stefan Schuster, Radhakrishnan Mahadevan, Jürgen Zanghellini, Stefan Müller

“…Elementary flux modes (EFMs) emerged as a formal concept to describe metabolic pathways and have become an established tool for constraint-based modeling and metabolic network analysis. EFMs are characteristic (support-minimal) vectors of the flux cone that contains all feasible steady-state flux vectors of a given metabolic network. …”
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Exploring PID and FOPID Control Methods for Thrust Vectoring in Aerospace Systems-A Beginner’s Guide by Menhal Abdulmohsen Alkodur, Ali Hussain Almusharraf, Ghulam E. Mustafa Abro, Eman Mahmoud, Ayman M. Abdallah

“…This research serves as an extensive resource for undergraduate, postgraduate students and early-career researchers to provide them with detailed insight into the design, modeling, and implementation of control strategies for thrust vectoring rocket systems. …”
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Random Forest-Based Machine Learning Model Design for 21,700/5 Ah Lithium Cell Health Prediction Using Experimental Data by Sid-Ali Amamra

“…Two machine learning models: support vector regression (SVR) and random forest (RF) were designed and evaluated. …”
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PSR-LeafNet: A Deep Learning Framework for Identifying Medicinal Plant Leaves Using Support Vector Machines by Praveen Kumar Sekharamantry, Marada Srinivasa Rao, Yarramalle Srinivas, Archana Uriti

“…The proposed models surpass all the existing models, having an improvement in accuracy. …”
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Light vector bosons and the weak mixing angle in the light of future germanium-based reactor CEνNS experiments by Manfred Lindner, Thomas Rink, Manibrata Sen

“…Abstract In this work, the sensitivity of future germanium-based reactor neutrino experiments to the weak mixing angle sin2 θ W , and to the presence of new light vector bosons is investigated. …”
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Supply chain finance credit risk assessment using support vector machine–based ensemble improved with noise elimination by Ying Liu, Lihua Huang

“…However, noise may increase the complexity of the algorithm building and destroy the performance of classifier. In our work, we propose an ensemble support vector machine model to solve the risk assessment of supply chain finance, combined with reducing noises method. …”
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A New Approach to Electrical Fault Detection in Urban Structures Using Dynamic Programming and Optimized Support Vector Machines by Reynaldo Villarreal, Sindy Chamorro-Solano, Yolanda Vega-Sampayo, Carlos Alejandro Espejo, Steffen Cantillo, Luis Gaviria, Jheifer Paez, Carlos Ochoa, Silvia Moreno, Claudet Polo, Roberto Pestana-Nobles, Camilo Montoya

“…These environments present unique electrical challenges, such as phase imbalances and transient voltage fluctuations, which require robust fault detection mechanisms. This work investigates the use of AI with dynamic programming and a support vector machine (SVM) to improve fault detection. …”
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Quantum Machine Learning: Recent Advances, Challenges, and Perspectives by Pradeep Lamichhane, Danda B. Rawat

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Prediction of Work-relatedness of Shoulder Musculoskeletal Disorders as by Using Machine Learning by Saemi Jung, Bogeum Kim, Yoon-Ji Kim, Eun-Soo Lee, Dongmug Kang, Youngki Kim

“…Additionally, machine learning algorithms, including logistic regression, support vector machine, decision tree, random forest, and the XGBoost, were utilized to construct prediction models for work-relatedness assessment. …”
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SOCIAL REHABILITATION AS ONE OF THE PROFESSIONAL ACTIVITIES OF A SOCIAL WORK SPECIALIST by Iryna V. Oliynik

“…Based on the analysis of psychological, sociological, complex models of social and socially pedagogical work, models of social rehabilitation are identified: psychological, psychodynamic, behavioral, cognitive-behavioral, humanistic, existential, sociological. …”
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A hybrid approach using support vector machine rule-based system: detecting cyber threats in internet of things by M. Wasim Abbas Ashraf, Arvind R. Singh, A. Pandian, Rajkumar Singh Rathore, Mohit Bajaj, Ievgen Zaitsev

“…Therefore, this study presents the Hybrid approach based on the Support Vector Machines Rule-Based Detection (HSVMR-D) method for an all-encompassing approach to identifying cyber threats to the IoT. …”
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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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Analysis of mathematical describe the interaction cutter working body develops environment by V. N. Kuznetsova, N. A. Kiryushkinа

“…Various methods of calculating the parameters of the milling process, the scheme vectors of the forces acting on the tooth cutter with a head and a tail milling, one-dimensional model of the oscillating system for single-tooth cutter, which operates on the cutting force. …”
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Application of machine learning in the fake user identification of IoT by Rongfang ZHANG, Dandan XU, Yuanguang WANG, Siyu PAN, Zhengmao LI

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Study of adaptive control system of asynchronous electric drive belt conveyor by V. N. Meshcheryakov, E. S. Mantukhov, A. V. Sdvizhkov

“…With the help of computer modeling, graphs of transient processes in the asynchronous electric drive system with vector control are obtained, the results of modeling dynamic characteristics and quality indicators in systems with a speed sensor mounted on the motor shaft and with speed observers. …”
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Yours Truly: A Credibility Framework for Effortless LLM-Powered Fact Checking by Vallidevi Krishnamurthy, Varshini Balaji

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Support vector neural network based fuzzy hybrid filter for impulse noise identification and removal from gray-scale image by Sagenela Vijaya Kumar, C. Nagaraju

“…Besides significant advantages in the field of the denoising images, several kinds of literature face difficulties in reducing the impulse noise in the image. This work designs a novel filter through the hybridization of the fuzzy filter and the Non-Local Means (NLM) filter. …”
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Deep and Domain Specific Feature-Based Cervical Cancer Classification Using Support Vector Machine Optimized With Particle Swarm Optimization by Ritesh Maurya, Lucky Rajput, Satyajit Mahapatra

“…Computer-aided diagnosis (CAD) systems developed using machine learning and deep learning-based algorithms present a promising solution. This work proposes a novel approach by combining the deep features extracted from MobileNetV1 model with the domain-specific shape features, texture features and color features for cervical cancer classification. …”
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