Speed-sensorless Control of DFIG in the Condition of LVRT by SHE Yue, SHENG Jianke, ZHANG Shaoyun, XU Fengxing

“…It presented a speed-sensorless control method of DFIG to adapt to LVRT operation condition. Firstly, a DFIG vector control model based on stator coordinate and rotator coordinate was given, characteristics of rotor voltage in normal working condition and LVRT condition were analyzed, and feature of proportional integral resonant controller (PIR) was introduced. …”
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Sentiment Analysis of Product Reviews Using Machine Learning and Pre-Trained LLM by Pawanjit Singh Ghatora, Seyed Ebrahim Hosseini, Shahbaz Pervez, Muhammad Javed Iqbal, Nabil Shaukat

“…In this research, we applied machine learning-based classifiers, i.e., Random Forest, Naive Bayes, and Support Vector Machine, alongside the GPT-4 model to benchmark their effectiveness for sentiment analysis. …”
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Accurate estimation of permeability reduction resulted from low salinity water flooding in clay-rich sandstones by Xiaojuan Zhang, Muntadher Abed Hussein, Tarak Vora, Anupam Yadav, Asha Rajiv, Aman Shankhyan, Sachin Jaidka, Mehul Manu, Farzona Alimova, Issa Mohammed Kadhim, Zainab Jamal Hamoodah, Fadhil Faez, Ahmad Khalid

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AN ADVANCED MACHINE LEARNING (ML) ARCHITECTURE FOR HEART DISEASE DETECTION, PREDICTION AND CLASSIFICATION USING MACHINE LEARNING by Muhammad Anas, Muhammad Atif Imtiaz, Saad Khan, Arshad Ali, Noor Fatima Naghman, Hamayun Khan, Sami Albouq

“…Splitting the dataset into 80% training and 20% testing, cross-validation was performed to validate outcomes on all four models. Although the highest accuracy was reached by the model of the Neural Network by 97%, it was revealed to have tendencies of overfitting. …”
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Automatic detection of fake reviews at marketplaces using expert-based features and consumers’ reactions by A. N. Borodulina, E. V. Mikhalkova

“…The quality of the model is reduced by the imbalance in classes and insufficient number of reviews with buyer reactions in our corpus, which leaves room for further work.…”
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Deep Learning-Based Detection of Depression and Suicidal Tendencies in Social Media Data with Feature Selection by İsmail Baydili, Burak Tasci, Gülay Tasci

“…We utilize six diverse datasets, collected from platforms such as Twitter and Reddit, ensuring a broad evaluation of model robustness. The proposed methodology incorporates Cumulative Weight-based Iterative Neighborhood Component Analysis (CWINCA) for feature selection and Support Vector Machines (SVMs) for classification. …”
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Enhancing Sentiment-Driven Recommender Systems With LLM-Based Feature Engineering: A Case Study in Drug Review Analysis by Samuel Matia Kangoni, Obed Tshimanga Tshipata, Pierre Sedi Nzakuna, Vincenzo Paciello, Jean-Gilbert Mbula Mboma, Jean-Robert Makulo, Kyandoghere Kyamakya

“…These embeddings are used in sequential models (Bi-LSTM, CNN) and non-sequential models (Random Forest, DNN, ExtraTreesClassifier). …”
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Real-time detection of turmeric adulteration with metanil yellow using a miniaturized NIR sensor and AI techniques by Dimitra Xenitopoulou, Nikolaos L. Tsakiridis, Achilleas Panagiotis Zalidis, George C. Zalidis

“…Multiple spectral pre-treatments were applied, and classification was performed using Random Forest (RF), XGBoost, and Support Vector Machines (SVM). The best performance was achieved by the RF model on raw reflectance spectra collected with the miniaturized sensor (98% accuracy, κ = 0.97). …”
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Enhancing Typhoid Fever Diagnosis Based on Clinical Data Using a Lightweight Machine Learning Metamodel by Fariha Ahmed Nishat, M. F. Mridha, Istiak Mahmud, Meshal Alfarhood, Mejdl Safran, Dunren Che

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Leveraging Retrieval-Augmented Generation for Automated Smart Home Orchestration by Negin Jahanbakhsh, Mario Vega-Barbas, Iván Pau, Lucas Elvira-Martín, Hirad Moosavi, Carolina García-Vázquez

“…The proposed system allows users to express requirements in natural language, which are then interpreted and transformed into executable service bundles by large language models (LLMs) enhanced with contextual knowledge retrieved from vector databases. …”
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Carbon additives to improve polymer performance in energy applications using machine learning by Juan Chen, Khidhair Jasim Mohammed, Elimam Ali, Riadh Marzouki

“…To guide composite optimization, a hybrid Machine Learning (ML) framework combining Random Forest Regression (RFR) and Support Vector Regression (SVR) was developed. This stacked model was trained on 60 samples and achieved high predictive accuracy across all key outputs, including Coefficient of Determination (R²) = 0.985 for conductivity and R² > 0.95 for heating rate (Hr+c), τg, τd, and temperature. …”
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University Management in the Western Sociology of Higher Education by P. A. Ambarova, G. E. Zborovsky

“…It is obvious that the Russian higher school is moving along the same trajectory as Western universities, and it is unlikely to leave this track, so when looking at the advantages and disadvantages of foreign experience, the authors of the present article tried to find out the prospects for the Russian system of higher education and possible vectors of its management development. In this regard, the materials of the current publication can be useful both for sociologists of higher education and for practitioners working in the field of university management.…”
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Braking mode simulation of induction motor of variable-frequency drive using stator current harmonics ** by Nikolay F. Karnaukhov, Maxim N. Filimonov, Dmitry A. Statovoy, FelixVenegas V. Bonilla

“…The work objective is to study electrodynamic processes in the frequency-controlled drive (FCD) by the mathematical modeling method, in particular, in the two-current mode of the dynamic braking considering the 5th and 7th current harmonics of the induction motor (IM) stator. …”
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Virtual measurement system for UHF-transistor amplifiers by Alexander D. Tupitsyn

“…VMS development for measuring of amplifiers parameters by means of simulation modeling based on amplifier topology.Methods and materials. …”
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Distribution and abundance of Aedes caspius (Pallas, 1771) and Aedes vexans (Meigen, 1830) in the Po Plain (northern Italy) by Mattia Calzolari, Andrea Mosca, Fabrizio Montarsi, Annalisa Grisendi, Mara Scremin, Paolo Roberto, Carlotta Tessarolo, Francesco Defilippo, Federica Gobbo, Cristina Casalone, Davide Lelli, Alessandro Albieri

“…Abstract Background Knowledge of the distribution and abundance of disease-causing mosquito vectors is fundamental for assessing the risk of disease circulation and introduction. …”
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Effects of latent infection of Toxoplasma gondii strains with different genotypes on mouse behavior and brain transcripts by Bei-Bei Zhou, Hong-Jie Dong, Hang Sun, Xiao-Man Xie, Huan-Huan Xie, Wen-Ju Zhu, Ya-Nan Li, Chao Xu, Jian-Ping Cao, Gui-Hua Zhao, Kun Yin

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External quality assessment for molecular detection of sand fly-borne phleboviruses circulating in the Mediterranean Basin by Nazli Ayhan, Cecile Baronti, Laurence Thrion, Gioia Bongiorno, Carla Maia, Remi N. Charrel, CLIMOS WP2 Phlebovirus Working Group

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CONCEPTUAL FOUNDATIONS OF ORGANIZATIONAL CULTURE OF MANUFACTURING ENTERPRISES IN THE WARTIME PERIOD by Maksym V. Kostromskyi

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Visualizing PDE solutions and Fourier Transforms with Flexural Waves by Marta Gómez Pérez, Mario Lázaro, Vicent Romero-Garcia, Marc Martí-Sabaté, Athina Galani

“…In particular, flexural waves are governed by a wave equation, which, unlike electromagnetic (vector) or acoustic (scalar) waves, is of fourth order. …”
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The Modular and Integrated Data Assimilation System at Environment and Climate Change Canada (MIDAS v3.9.1) by M. Buehner, J.-F. Caron, E. Lapalme, A. Caya, P. Du, Y. Rochon, S. Skachko, M. Bani Shahabadi, S. Heilliette, M. Deshaies-Jacques, W. Chang, M. Sitwell

“…The use of a single common DA software package for multiple components of the Earth system provides both practical and scientific benefits, including the facilitation of future research on DA approaches that explicitly include the coupled connections between multiple Earth system components. To this end, work is currently underway to allow the use of MIDAS DA algorithms for initializing both deterministic and ensemble three-dimensional ocean model forecasts.…”
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