Machine learning models for enhanced stroke detection and prediction by Shilpa Bajaj, Manju Bala, Mohit Angurala

“…The OzNet-mRMR-NB model integrates VGG19 for feature extraction, mRMR for feature selection, and Naive Bayes for classification, while Logistic Regression processes flattened feature vectors. The Ensemble CNN, leveraging ResNet and VGG19, outperforms the other models with a testing accuracy of 92.43 %, an AUC score of 0.92, precision of 0.93, and an F1-score of 0.92. …”
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Integrating Quantitative Analyses of Historical and Contemporary Apparel with Educational Applications by Zlatina Kazlacheva, Daniela Orozova, Nadezhda Angelova, Elena Zurleva, Julieta Ilieva, Zlatin Zlatev

“…The most informative of the shape and color indices of contemporary and historical clothing were selected using the RReliefF, FSRNCA, and SFCPP methods. The feature vectors were reduced using the latent variable and t-SNE methods. …”
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An expanded method for malaria parasite genetic surveillance using targeted nanopore sequencing [version 1; peer review: awaiting peer review] by Alexandria J. R. Harrott, Richard D. Pearson, Collins M. Morang'a, Ahmed Osumanu, Mona-Liza Sakyi, Fagdéba David Bara, Enock K. Amoako, Kess Rowe, Myra Hosmillo, Gordon A. Awandare, Yaw Aniweh, Ian Goodfellow, Francis Zeukeng, Lucas N. Amenga-Etego, Cristina V. Ariani, William L. Hamilton

“…Molecular surveillance of Plasmodium parasites and Anopheles mosquito vectors are key components of effective malaria control decision-making. …”
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Hybrids versus parental species: insights from wing phenotype similarities and differences in triatomine insects by Álvaro Lara, María Laura Hernández, María Laura Hernández, César A. Yumiseva, Mario J. Grijalva, Mario J. Grijalva, Anita G. Villacís

“…IntroductionThe genus Panstrongylus is one of the most important within the subfamily Triatominae, which includes vectors of Trypanosoma cruzi, the etiological agent of Chagas disease (CD). …”
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Conceptual and categorical apparatus of the state criminal and legal policy of countering cybercrimes by S.V. Korzun

“…Having analyzed the scientific achievements of previous years, we have come to an understanding of the concepts of «cybercrime», «cybercrime» through the prism of multi-vectority, using various approaches, including considering international and national legislation. …”
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Investigating the effects of Gaussian noise on epileptic seizure detection: The role of spectral flatness, bandwidth, and entropy by Nuri Ikizler, Gunes Ekim

“…Feature vectors are generated for both original signals and signals with varying levels of injected Gaussian noise. …”
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The Metaparadigm of Scientific Knowledge and Interdisciplinary Perspectives on Legal Culture by Maksim V. Zaloilo

“…The purpose of the research is to assess the prospects for applying methods and approaches from the humanities and exact sciences to understand the genesis, prerequisites, patterns, features, trends, and vectors of the evolution of legal culture as a distinct cognitive challenge and a multifaceted phenomenon within state-legal reality. …”
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EDUCATION AND EDUCATIONAL SYSTEM MANAGEMENT: STATUS, TRENDS, PROBLEMS AND PROSPECTS by V. P. Panasyuk

“…The current stage of development of education in Russia, characterized by the continuation of reforms and intense innovation processes, require essential changes in management. …”
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Q-Gen: A Parameterized Quantum Circuit Generator by Yikai Mao, Shaswot Shresthamali, Masaaki Kondo

“…In the full quantum computing workflow, most data processing remains in the classical domain except for running the quantum circuit in the quantum processor. …”
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The impact of conversational AI on consumer decision-making: A systematic review and cluster analysis by David Lopez-Lopez, Marc Bara Iniesta

“…This study presents a comprehensive analysis of the influence of conversational artificial intelligence (AI)—a subset of AI that enables machines to simulate human-like conversations through natural language processing (NLP)—on consumer decision-making within the digital marketing landscape. …”
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A comprehensive evaluation of oversampling techniques for enhancing text classification performance by Salimkan Fatma Taskiran, Bahaeddin Turkoglu, Ersin Kaya, Tunc Asuroglu

“…The results provide practical insights into the selection of oversampling techniques tailored to dataset characteristics and classifier sensitivity, supporting more robust and fair learning in imbalanced natural language processing tasks.…”
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An ensemble deep learning model for author identification through multiple features by Yuan Zhang

“…Abstract One of the challenges in the natural language processing is authorship identification. The proposed research will improve the accuracy and stability of authorship identification by creating a new deep learning framework that combines the features of various types in a self-attentive weighted ensemble framework. …”
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A Second-Classroom Personalized Learning Path Recommendation System Based on Large Language Model Technology by Qiankun Yang, Changyong Liang

“…To address the limitations of existing learning path recommendation methods—such as poor adaptability, weak personalization, and difficulties in processing long sequences of student behavior and interest data—this paper proposes a personalized learning path recommendation system for the second classroom based on large language model (LLM) technology, with a focus on integrating the pre-trained model GPT-4. …”
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Sparse DOA Estimation Method Based on Riemann Averaging under Strong Intermittent Jamming by Xiaoyu LAN, Jiyan HU, Mingshen LIANG, Shuang MA

“…Then, the covariance matrix of the processed data is vectorized to obtain virtual array reception data. …”
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Construction of a Structurally Unbiased Brain Template with High Image Quality from MRI Scans of Saudi Adult Females by Noura Althobaiti, Kawthar Moria, Lamiaa Elrefaei, Jamaan Alghamdi, Haythum Tayeb

“…Additionally, we implement computational optimizations, including parallelization and vectorized operations, to increase processing efficiency. …”
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STSG: A Short Text Semantic Graph Model for Similarity Computing Based on Dependency Parsing and Pre-trained Language Models by Hai Liao, Yan Liang, Song Chen, Lingyun Xiang, Zhimin Chang, Yun Xiao

“…Short text semantic similarity is a crucial research area in nature language processing, which is used to predict the similarity between two sentences. …”
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Knowledge-data-driven power flow calculation for lowvoltage active distribution network considering gray data by LIU Siliang, ZHENG Zenan, ZHANG Yongjun, YI Yingqi, CHI Yuquan

“…The input-output feature vectors of the deep learning model are constructed based on the DistFlow model, where the head-end node voltage, photovoltaic (PV) output, and load power at user nodes serve as input features, and the voltage magnitude at user nodes is the output feature. …”
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Antagonism in Orthotospoviruses Is Reflected in Plant Small RNA Profile by Md Tariqul Islam, Kaixi Zhao, Nathan Johnson, Michael Axtell, Cristina Rosa

“…Using small RNA sequencing, we identified that the host plant contributes to this antagonism through differential small RNA processing, which appears to regulate viral replication and the success of infection. …”
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TempliPhi, ⌽29 DNA Polymerase Based Rolling Circle Amplification of Templates for DNA Sequencing by John R. Nelson, Yuyang Christine Cai, Theresa L. Giesler, Joseph W. Farchaus, Shanmuuga T. Sundaram, Maria Ortiz-Rivera, Lou P. Hosta, Peter L. Hewitt, J. Anthony Mamone, C. Palaniappan, Carl W. Fuller

“…The TempliPhi™ DNA amplification kits take advantage of the fact that cloned DNA is typically obtained in circular vectors, which are readily replicated in vitro using ⌽29 DNA polymerase by a rolling circle mechanism. …”
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Multimodal driver emotion recognition using motor activity and facial expressions by Carlos H. Espino-Salinas, Huizilopoztli Luna-García, José M. Celaya-Padilla, Cristian Barría-Huidobro, Nadia Karina Gamboa Rosales, David Rondon, Klinge Orlando Villalba-Condori

“…Furthermore, a pre-trained Convolutional Neural Network (CNN) model is employed to extract probability vectors from images corresponding to the four emotions under investigation. …”
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