Enhancing Wind Turbine Efficiency: An Experimental Investigation of a Sensorless Three-Vector Finite Set Predictive Torque Control Approach for PMSG-Based Systems by Marouane Ahmed Ghodbane, Toufik Mohamed Benchouia, Mohamed Chebaani, Mohamed Becherif, Yassine Himeur, Amar Golea, Abdelmoumen Ghilani, Zakaria Alili, Shadi Atalla, Wathiq Mansoor

“…Experimental results demonstrate a 19.75% reduction in computational time during wind speed profile, and the method significantly reduces torque and flux ripples compared to Conventional Model Predictive Torque Control (CMPTC), which uses just one voltage vector per control period and often leads to significant torque fluctuations. …”
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Physiological and behavioural resistance of malaria vectors in rural West-Africa: a data mining study to address their fine-scale spatiotemporal heterogeneity, drivers, and predict... by Taconet, Paul, Soma, Dieudonné Diloma, Zogo, Barnabas, Mouline, Karine, Simard, Frédéric, Koffi, Alphonsine Amanan, Dabiré, Roch Kounbobr, Pennetier, Cédric, Moiroux, Nicolas

“…To our knowledge, our work is the first modeling insecticide resistance and feeding behaviour of malaria vectors at such fine spatial scale with such a large dataset of both mosquito and environmental data. …”
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Generative AI at the heart of the concerns of the renewable energy sector in Morocco: Development of AI assistants and analysis between vector database and rag using knowledge grap... by Bennani Anas, Ghafir Adil, Tali Abdelhak, El Hajjaji Soukaina

“…In this sense, and in order to make the right choice about the technology we’re going to adopt for this project of creating an expert AI assistant, the idea of this paper revolves around implementing a comparison between two assistants: one using RAG and working with a vector database, and the second using another RAG-based technology exploiting the knowledge graph. …”
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Prediction of matrilineal specific patatin-like protein governing in-vivo maternal haploid induction in maize using support vector machine and di-peptide composition by Suman Dutta, Rajkumar U. Zunjare, Anirban Sil, Dwijesh Chandra Mishra, Alka Arora, Nisrita Gain, Gulab Chand, Rashmi Chhabra, Vignesh Muthusamy, Firoz Hossain

“…The knowledge generated in this study can be utilized in other crops prior to the initiation of any experiment. The developed SVM model opened a new paradigm for scientists working in in-vivo haploid induction in commercial crops. …”
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Monetary Policy and Domestic Investment in Nigeria: The Role of the Inflation Rate by Ezeibekwe Obinna Franklin

“…Using data from 1981 to 2018 and applying the vector error correction model, this paper seeks to determine how the changes in the inflation rate affect the ability of monetary policy tools to stabilize the Nigerian economy and stimulate investment. …”
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Numerical Calculation of the Influence of Working Conditions and Rotational Speed on Pressure Pulsation of a Self‐Priming Pump by Hai‐Bing Jiang, Shao‐Han Zheng, Yu‐Liang Zhang, Liang‐Huai Tong, Jin‐Fu Li, He‐Chao Guo

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Exploring vector-like top quark pair production via charged Higgs decays in multi-b-jet and opposite-sign dilepton final state at the LHC by R. Benbrik, M. Berrouj, M. Boukidi, K. Kahime

“…Abstract We investigate the discovery prospects of a vector-like top partner (VLT) in the Type-II Two-Higgs-Doublet Model (2HDM-II) extended by a vector-like quark (VLQ) doublet (TB) at the 14 TeV Large Hadron Collider (LHC). …”
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Inverse System Decoupling Control of Composite Cage Rotor Bearingless Induction Motor Based on Support Vector Machine Optimized by Improved Simulated Annealing-Genetic Algorithm by Chengling Lu, Junhui Cheng, Qifeng Ding, Gang Zhang, Jie Fang, Lei Zhang, Chengtao Du, Yanxue Zhang

“…First, based on the structure and working principle of CCR-BIM, the mathematical model of CCR-BIM is derived, and its reversibility is rigorously analyzed. …”
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Novel machine learning approach for enhanced smart grid power use and price prediction using advanced shark Smell-Tuned flexible support vector machine by Yuwei Duan, Zihan Xu, Huiyi Chen, Yue Wang

“…The paper intends to construct ML for smart grid power use and price prediction. This work used an advanced shark smell-tuned flexible support vector machine (ASS-FSVM) to forecast smart grid price and power use. …”
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Interpreting neural decoding models using grouped model reliance. by Simon Valentin, Maximilian Harkotte, Tzvetan Popov

“…As a case study to demonstrate the method, random forest and support vector machine models were trained on within-participant single-trial EEG data from a Sternberg working memory task. …”
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Large and small hierarchies from finite modular symmetries by Tetsutaro Higaki, Junichiro Kawamura, Tatsuo Kobayashi, Kaito Nasu, Riku Sakuma

“…The shift symmetry can be considered as the residual ℤ N symmetry which realizes the Froggatt-Nielsen mechanism with the hierarchy parameter e −2πIm τ/N ≪ 1. In this work, we study the stabilization of multiple moduli fields, so that various hierarchical values of the modular forms coexist in a model. …”
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Suppression of Aedes mosquito populations with the boosted sterile insect technique in tropical and Mediterranean urban areas by Jérémy Bouyer, David Almenar Gil, Ignacio Pla Mora, Vicente Dalmau Sorlí, Hamidou Maiga, Wadaka Mamai, Iris Claudel, Ronan Brouazin, Hanano Yamada, Louis-Clément Gouagna, Marie Rossignol, Fabrice Chandre, Marlène Dupraz, Frédéric Simard, Thierry Baldet, Renaud Lancelot

“…In Spain, suppression with boosted SIT was higher than with non-boosted SIT, in 2020 and 2022. This work is in line with the predictions of the model of a better efficacy of boosted SIT compared to SIT, together with partial protection from invasion of treated areas by fertile females, paving the way for larger-scale field trials.…”
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A Novel Approach for Automatic Detection of Concrete Surface Voids Using Image Texture Analysis and History-Based Adaptive Differential Evolution Optimized Support Vector Machine by Nhat-Duc Hoang, Quoc-Lam Nguyen

“…To improve the productivity of the inspection work, this study develops a hybrid intelligence approach that combines image texture analysis, machine learning, and metaheuristic optimization. …”
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Design of a Conveyer Trough Bolt Signal Acquisition System and Bayesian Ensemble Identification Method for Working State by Yi Lian, Bangzhui Wang, Meiyan Sun, Kexin Que, Sijia Xu, Zhong Tang, Zhilong Huang

“…Finally, after comparing machine learning algorithms, Support Vector Machine was chosen for its superior performance. …”
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A Comparative Study of Image Processing and Machine Learning Methods for Classification of Rail Welding Defects by Mohale Emmanuel Molefe, Jules Raymond Tapamo, Siboniso Sithembiso Vilakazi

“…Classification of features extracted by local feature extractors is achieved using Support Vector Machines, K-Nearest Neighbor, and Naive Bayes classifiers. …”
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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 Quantitative Safety Risk Assessment Methods at Vehicle Controllability Level by Lei He, Zichong Li, Xuezhu Yang, Yuanle Zhou, Zikun Qu, Zhiqiang Ren

“…Based on this database, a controllability model is developed using the Support Vector Machine (SVM) method, which can effectively predict controllability levels. …”
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Study on incentive mechanism of reward and punishment on work efficiency of PCB welder based on recurrence quantification analysis and electroencephalogram signals by Zhang Qian, Mingyue Guo, Fuwang Wang

“…To address this issue, this study innovatively combines recurrence quantification analysis (RQA) with electroencephalogram (EEG) signals, proposing a dynamic incentive evaluation model based on the analysis of brain chaos characteristics. …”
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CONSTRUCTION OF STABILITY AREAS FOR CONTROLLED SYSTEMS WITH PARAMETRIC AND DYNAMIC UNCERTAINTY by Alla Savranska, Oleksandr Denisenko

“…The following methods are used: mathematical modeling of complex control systems; vector Lyapunov functions investigation of asymptotic stability of solutions of systems of differential equations. …”
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Complex Working Condition Bearing Fault Diagnosis Based on Multi-Feature Fusion and Improved Weighted Balance Distribution Adaptive Approach by Jing Yang, Yanping Bai, Ting Xu, Rong Cheng, Wendong Zhang, Guojun Zhang

“…In order to improve the accuracy and generalization ability of fault diagnosis for rotating machinery bearings under complex working conditions, a new model based on multi-feature fusion and improved weighted balance distribution adaptation is proposed. …”
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