On regression approach to forecasting passenger demand in railway transport by G. L. Venediktov, V. M. Kochetkov

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An Efficient Method for Lung Lesions Classification Using Automatic Vascularization Evaluation on Color Doppler Ultrasound by Roxana Rusu-Both, Adrian Satmari, Romeo-Ioan Chira, Alexandra Chira, Camelia Avram

“…Lung cancer still represents one of the main causes of cancer-related mortality, highlighting the necessity for precise, effective, and minimally intrusive diagnostic methods. …”
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Confocal laser scanning microscopy for the diagnosis of dysplastic nevus of the skin by A. V. Sokolova, N. P. Malishevskaya

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Automated Seizure Detection through EEG Analysis and Deep Learning Technique by Srinivas Nowduri, M. Madhusudhana Subramanyam

“…To address this issue, this research proposes a new approach for automatically identifying epileptic seizures using a deep convolutional network. …”
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Managing the Gross Regional Product Structure in the Territorial Subjects of the Southern Federal District by V. V. Gamukin

“…Due to the universality and high sensitivity of the received results, the formulated algorithm of calculation of the structure index, is acceptable for convergence determination of the structure of regional economies on the basis of the GRP structure indicator and can be applied in other federal districts of Russia.…”
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K-Means Clustering of Social Studies Performance at Junior High School by Tundo, Syifa Raihanah, Tri Wahyudi, Sugiyono

“…The K-Means Clustering algorithm was chosen because it has proven effective in grouping academic data in various studies. …”
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The influence of prenatal environmental conditions on the weight of newborn domestic pigs by S. V. Nikitin, S. P. Knyazev, V. I. Ermolayev

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Default Risk Prediction of Enterprises Based on Convolutional Neural Network in the Age of Big Data: Analysis from the Viewpoint of Different Balance Ratios by Zhe Li, Zhenhao Jiang, Xianyou Pan

“…Imbalanced datasets and redundant features are two main problems that can reduce the performance of machine learning models. …”
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The Evolution of Global and Local Scientist Mobility Network: Evidence From ORCID Profiles by Ziyang Lin, Huiming Gu

“…Using social network analysis methods and the core-periphery profile algorithm, we analyze the structural evolution of the network. …”
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Ray-Tracing method for fields of view simulation in agricultural and forestry vehicles by Lorenzo Landi, Luca Burattini, Maurizio Cutini, Leonardo Vita, Luca Landi

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A Sensory Glove With a Limited Number of Sensors for Recognition of the Finger Alphabet of Polish Sign Language by Jakub Piskozub, Pawel Strumillo

“…The influence hierarchy of individual piezoelectric sensors was determined using a decision tree algorithm during previous stage of research, which achieved 94% accuracy with data from only three sensors. …”
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Improving Marketing Strategies Using a Clustering and AR-MBA Methods at Indomaret Kaliurang by Rifki Nurul Mukarim, Dandy Fri Subagja, Demas Emirbuwono Basuki, Ratna Agil Apriani

“…Marketing is the main activity carried out by entrepreneurs to maintain the viability of their business, develop the company, and get maximum profit. …”
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Associations of absolute risk of osteoporotic fractures (FRAX®) and total cardiovascular risk (SCORE) in urban population of the Russian Federation by M. A. Myagkova, I. A. Skripnikova, O. V. Kosmatova, S. A. Shalnova, V. A. Vygodin

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Improving the level of training of IT-specialists based on analysis of labor market requirements by A. V. Gavrilov, S. V. Kulikova, G. E. Golkina

“…The application of the methodology for the analysis of the content of the academic discipline will make it possible to formulate recommendations on the selection of software tools and technologies used to teach students practical skills in this discipline based on the current requirements of the labor market.Materials and methods. The main idea of the research is to develop a universal methodology that allows you to coordinate the content of the theoretical and practical components of academic disciplines with dynamically changing qualification requirements for specialists in the IT industry from employers. …”
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Predictive models of sepsis-associated acute kidney injury based on machine learning: a scoping review by Jie Li, Manli Zhu, Li Yan

“…Then, we comprehensively extracted relevant data related to machine learning algorithms, predictors, and predicted objectives. We subsequently performed a critical evaluation of research quality, data aggregation, and analyses.Results We screened 25 studies on predictive models for sepsis-associated acute kidney injury from a total of originally identified 2898 studies. …”
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New ways of developing Russian avant-garde idioms: a corpus-based approach by Irina V. Zykova

“…The research studies the functioning of Russian avant-garde idioms, a unique group in the lexical-phraseological system of the Russian language, which formed at the beginning of the 20th century in language experiments by of the early avant-garde representatives (Cubo-Futurists). …”
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SENTIMENT ANALYSIS OF REVIEWS ON X APPS ON GOOGLE PLAY STORE USING SUPPORT VECTOR MACHINE AND N-GRAM FEATURE SELECTION by Fahri Aimar Kusumo, Dewi Retno Sari Saputro, Purnami Widyaningsih

“…Sentiment analysis requires classification algorithms, such as Support Vector Machine (SVM). SVM is a frequently used algorithm for text data classification because it can handle high-dimensional data. …”
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Study on Connectivity of Fractured-Vuggy Marine Carbonate Reservoirs Based on Dynamic and Static Methods by Yintao Zhang, Chengyan Lin, Lihua Ren, Chong Sun, Jing Li, Zhicheng Wang, Guojin Xu

“…The results indicate that the main types of reservoir spaces in the study area are caves, pores, and fractures. …”
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Peran Artificial Intelligence terhadap Praktik Greenwashing dalam Sustainability Report: Systematic Literature Review by Abim Wafirli, Provita Wijayanti, Lisa Kartikasari, Muhammad Ja'far Shodiq

“…Novelty: This study conducted a literature review on Artificial Intelligence (AI) articles with Greenwashing, Technology, Sustainability Report mitigation. Research Methods: The method used in this research is a Systematic Literature Review (SLR). …”
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The Proposal and Validation of a Distributed Real-Time Data Management Framework Based on Edge Computing with OPC Unified Architecture and Kafka by Daixing Lu, Kun Wang, Yubo Wang, Ye Shen

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