STUDY OF TRANSIENT AND STATIONARY OPERATION MODES OF SYNCHRONOUS SYSTEM CONSISTING IN TWO MACHINES by V. S. Safaryan

“…When there are two excitation windings on the rotor (dual system of excitation), the mathematical model of electromagnetic transient processes of a synchronous machine is represented in a complex form, i.e. in coordinate system d, q, the current of rotor being represented by a generalized vector. …”
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A convolutional neural network-based deep learning approach for predicting surface chloride concentration of concrete in marine tidal zones by Mohamed Abdellatief, Mahmoud E. Abd-Elmaboud, Mohamed Mortagi, Ahmed M. Saqr

“…The CNN’s performance was benchmarked against four machine learning (ML) models: stepwise linear regression (SLR), support vector machine (SVM), Gaussian process regression (GPR), and random forest (RF). …”
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Financial Sentiment Analysis and Classification: A Comparative Study of Fine-Tuned Deep Learning Models by Dimitrios K. Nasiopoulos, Konstantinos I. Roumeliotis, Damianos P. Sakas, Kanellos Toudas, Panagiotis Reklitis

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Automatic Reading and Reporting Weather Information from Surface Fax Charts for Ships Sailing in Actual Northern Pacific and Atlantic Oceans by Jun Jian, Yingxiang Zhang, Ke Xu, Peter J. Webster

“…This study employed many artificial intelligent (AI) methods including a vectorization approach and target recognition algorithm to automatically detect the severe weather information from Japanese and US weather charts. …”
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Analysis of somatic piRNAs in the malaria mosquito Anopheles coluzzii reveals atypical classes of genic small RNAs by Sergei Funikov, Alexander Rezvykh, Natalia Akulenko, Jiangtao Liang, Igor V. Sharakhov, Alla Kalmykova

“…In diverse arthropod species, including the pathogen vectors mosquitoes, the piRNA pathway is also active in nongonadal somatic tissues, where its targets and functions are less clear. …”
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Context is Key: Aligning Large Language Models with Human Moral Judgments through Retrieval-Augmented Generation by Matthew Boraske, Richard Burns

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Efficient and Accurate Zero-Day Electricity Theft Detection from Smart Meter Sensor Data Using Prototype and Ensemble Learning by Alyaman H. Massarani, Mahmoud M. Badr, Mohamed Baza, Hani Alshahrani, Ali Alshehri

“…These prototypes are then used to train base-level one-class classifiers, specifically the One-Class Support Vector Machine (OCSVM) and the Gaussian Mixture Model (GMM). …”
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AI-powered smart emergency services support for 9-1-1 call handlers using textual features and SVM model for digital health optimization by Afraa Attiah, Manal Kalkatawi

“…The second phase also deals with emergency categorization using a support vector machine (SVM) learning model to prioritize the emergency dealing with an accuracy of 92.7%. …”
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Structural Elements Energy Losses of Electrical Equipment due to a Violation of Symmetry of Power Transmission Mode Parameters by N. L. Novikov, R. A. Nechitaev, M. A. Kashin

“…To find the flux linkage with research object caused by uncompensated magnetic field, a calculation was performed using the Poisson equation for vector magnetic potential. The symmetrical components method is used to calculate power losses in the asymmetric mode, taking into account losses in the ground. …”
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Automatic determination of semantic similarity of student answers with the standard one using modern models by Nadezhda S. Lagutina, Ksenia V. Lagutina, Vladislav N. Kopnin

“…However, the most interesting achievement was the use of vectors of stylometric features of the text, which showed 80% F-measure for the custom corpus and the same quality of problem solving as neural network models for another corpus.…”
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Improving automated deep phenotyping through large language models using retrieval-augmented generation by Brandon T. Garcia, Lauren Westerfield, Priya Yelemali, Nikhita Gogate, E. Andres Rivera-Munoz, Haowei Du, Moez Dawood, Angad Jolly, James R. Lupski, Jennifer E. Posey

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Multi-material additive manufacturing of conductor-insulator compounds for battery cell cap fabrication by Thomas Bareth, Daniel Eder, Maja Lehmann, Georg Schlick, Christian Seidel

“…Initial results from mono-material ceramic manufacturing were followed by a detailed analysis of the multi-material process between the metals and ceramics. Various strategies for optimizing the material transition zone were explored, with the most effective approach incorporating a stepped interface design combined with overlapping laser vectors to compensate for thermal shrinkage. …”
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Real-Time Automated Cyber Threat Classification and Emerging Threat Detection Framework by Alemayehu Tilahun Haile, Surafel Lemma Abebe, Henock Mulugeta Melaku

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EFFECTIVE SEISMIC TECHNOLOGIES FOR NEW GEOLOGICAL DISCOVERIES IN EAST SIBERIA by A. V. Gaiduk, D. N. Tverdokhlebov, E. A. Danko, E. I. Dolgova, A. B. Kleshnin, V. A. Grinchenko, E. I. Goguzeva, A. S. Chirgun

“…Upon further development of technologies, improvements are introduced in field operations, seismic data processing and interpretation, and drilling programs. …”
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Drying of Nettle Using Concentrated Air Collector and Concentrated Photovoltaic Thermal Supported Drying System and Modeling with Machine Learning by Mehmet Onur Karaagac

“…This study examines the performance of a solar assisted drying system in the nettle drying process. The drying process works by using thermal energy obtained from solar air collectors and PV modules. …”
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Modeling of development trajectories in the multidimensional space: socio-geographic interpretation by Kostyantyn Niemets, Kateryna Sehida, Lyudmyla Niemets, Ievgeniia Telebienіeva, Kateryna Kravchenko

“…Comparison of the real trajectory with the optimal, determining the pro-jection of the vector of development on the optimal trajectory, deviations from the optimal trajectory contain information on the pe-culiarities of the process. …”
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Aspects of Developing A Methodology for Managing Digital Financial Assets by A. Yu. Proskuryakov

“…Problems of modeling processes in economic systems are considered, the problem of optimal control is defined. …”
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MCDM and Various Prioritization Methods in AHP for CSS: A Comprehensive Review by Jayadev Gyani, Ahsan Ahmed, Mohd Anul Haq

“…Several methods used for deriving priority vectors from a Pairwise Consistency Matrix (PCM) in Analytic Hierarchy Process (AHP) technique, used in recent years are discussed in this research paper.…”
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Farklı Sınıflandırma Algoritmaları ve Metin Temsil Yöntemlerinin Duygu Analizinde Performans Karşılaştırılması by Fatih Kayaalp, Batuhan Cem Öğe

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Enhancing Knowledge Management in Healthcare: An Embedding Fusion Approach to Business Rule Representation by Braeden Berg, Mukundan Agaram, Shikha Mohindra, Abhinav Nadh Thirupathi

“…In this study, we present an embedding fusion technique using unsupervised Natural Language Processing (NLP) to represent business rules as semantic vectors by incorporating multiple text data sources for each rule. …”
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