Application of the Main Components Method for GNSS Interference Suppression by A. V. Nemov, Le. M. Dang, D. Yu. Tyuftyakov

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Quantum Variational vs. Quantum Kernel Machine Learning Models for Partial Discharge Classification in Dielectric Oils by José Miguel Monzón-Verona, Santiago García-Alonso, Francisco Jorge Santana-Martín

“…The captured images were processed in a Scikit-image environment to obtain a reduced number of features or qubits for later training of quantum circuits. …”
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Machine Learning-based Disease Classification in Tomato (Solanum lycopersicum) Plants by Md Towfiqur Rahman, Sudipto Dhar Dipto, Israt Jahan June, Abdul Momin, Muhammad Rashed Al Mamun

“…Therefore, an image processing technique and machine learning algorithms were used for rapid and robust detection of diseases in tomato plant leaves, aiming to streamline the detection process for chemical application responses. …”
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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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Air pressure forecasting for the Mutriku oscillating‐water‐column wave power plant: Review and case study by Jorge Marques Silva, Susana M. Vieira, Duarte Valério, João C. C. Henriques, Paul D. Sclavounos

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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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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

“…The task of determining semantic similarity of texts is an important component of many areas of natural language processing: machine translation, information retrieval, question and answer systems, artificial intelligence in education. …”
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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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Analyzing and forecasting the dynamics of Internet resource user sentiments based on the Fokker–Planck equation by J. P. Perova, S. A. Lesko, A. A. Ivanov

“…The power law observed in practice for the dependence of the stationary probability density of news distribution by the number of comments can be obtained from solving the stationary Fokker–Planck equation, while the non-stationary equation can be used to describe processes in complex network structures. The vector representation can be used to describe the comment network states of news media users. …”
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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

“…There is proposed a parametric synthesis of energy balance in structural elements of outdoors electrical equipment to calculate and verify the induction heating, taking into account the processes of natural convection, radiation and thermal conductivity. …”
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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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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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RECENT GEODYNAMICS OF FAULT ZONES: FAULTING IN REAL TIME SCALE by Yu. O. Kuzmin

“…A phenomenological model of auto-wave deformation processes is proposed; the model is consistent with monitoring data. …”
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