Machine learning classifiers to detect data pattern change of continuous emission monitoring system: A typical chemical industrial park as an example by Zhefeng Xu, Xiahong Shi, Wei Shu, Yilu Xin, Xuan Zan, Zhaonian Si, Jinping Cheng

“…By categorizing outlets into 12 datasets based on monitoring parameters, 17 machine learning models were evaluated to identify emission patterns and detect potential data anomalies. …”
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Cloud-Integrated Meteorological Parameter Prediction by Leveraging Multivariate Statistical Time Series and GANs by Archana Rout, Biswa Ranjan Senapati, Debahuti Mishra

“…Hence, the present work predicts six important meteorological parameters using the vector autoregression model (VAR), vector moving average model (VMA), vector autoregression moving average model (VARMA), and cointegrated vector autoregression model (CVAR). …”
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Dynamic Interconnections and Contagion Effects Among Global Stock Markets: A Vecm Analysis by Kadiri Hamza, Oukhouya Hassan, Belkhoutout Khalid, Himdi Khalid El

“…The study employs a time series Vector Error Correction Model (VECM) approach, incorporating stationarity, cointegration, and Granger causality tests. …”
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Manner implicatures in large language models by Yan Cong

“…We constructed three metrics to explain LLMs’ behavior, including LLMs-surprisals, embedding vectors’ similarities, and natural language prompting. …”
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Fish Disease Detection Using Image Based Machine Learning Technique in Aquaculture by Md Shoaib Ahmed, Tanjim Taharat Aurpa, Md. Abul Kalam Azad

“…We have conveyed this work on a novel dataset compromising with and without image augmentation. …”
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Machine Learning Methods for Predicting Cardiovascular Diseases: A Comparative Analysis by Aiym B. Temirbayeva, Arshyn Altybay

“…The study aims to accurately predict the presence of heart disease using machine learning models. The research evaluates and compares the performance of five algorithms - Logistic Regression, Support Vector Machine (SVM), Decision Tree, Random Forest, and Gradient Boosting - on a dataset containing clinical features of patients. …”
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The Model and Practices of Human Potential Development by P. D. Rabinovich, K. E. Zavedenskiy, E. A. Lopatina, G. D. Emelin, D. N. Dolganov

“…The development of human potential is proposed to be carried out along three vectors: “working with the ideal” (searching for one’s own meanings and developing reflection), “self-positioning in society” (social positions, connections, communities, reputation, career position, occupation, and types of activity), and “mightiness” (building the ability to “overcome one’s inability”, i.e., the ability to act on the frontier). …”
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A Bag-of-Words Approach for Information Extraction from Electricity Invoices by Javier Sánchez, Giovanny A. Cuervo-Londoño

“…It is typical to rely on machine-learning techniques to automate the process, reduce manual labor, and minimize errors. This work introduces a new model for extracting key values from electricity invoices, including customer data, bill breakdown, electricity consumption, or marketer data. …”
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THREE-DIMENSIONAL GIS MODELING OF THE STRELTSOVSKAYA CALDERA’S COVER ON THE BASIS OF SURFACE RELIEF AND THE BASEMENT’S TOP DIGITAL MODELS by I. O. NAFIGIN, S. A. USTINOV, V. A. PETROV

“…To  solve this problem, modeling of the daylight surface relief and the  basement roof has been carried out on the basis on remote sensing  data, geophysical studies, cartographic materials vectorization and  processing results. …”
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A Two-Dimensional Analysis of the Flowfield and Performances of Linear Aerospikes During Differential Throttling by Jehangir Hassan, Gaetano Maria Di Cicca, Michele Ferlauto, Roberto Marsilio, Emanuele Resta

“…In the working conditions studied here, the nozzle is throttled differentially, by setting different flow conditions on the upper and lower inlet, with the aim of generating thrust vectoring effects. …”
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Optimal control strategy based on artificial intelligence applied to a continuous dark fermentation reactor for energy recovery from organic wastes by Kelly Joel Gurubel Tun, Elizabeth León-Becerril, Octavio García-Depraect

“…First, experimental data from continuous dark fermentation are modeled using support vector machine (SVM) algorithm for response prediction and then, optimization algorithms are employed to identify the key parameters that enhance H2 production. …”
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New Heuristics Method for Malicious URLs Detection Using Machine Learning by Maher Kassem Hasan

“…In the present paper, we will look at three machine learning models: Logistic Regression, Random Forest, and Support Vector Machines. …”
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Machine Learning Techniques for Classification of Stress Levels in Traffic by Amanda Trojan Fenerich, Egídio José Romanelli, Rodrigo Eduardo Catai, Maria Teresinha Arns Steiner

“… The aim of this study is to apply Machine Learning techniques for predicting and classifying the stress level of people commuting from home to work and also to evaluate the performance of prediction models using feature selection. …”
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Context-aware Models for Twitter Sentiment Analysis by Giuseppe Castellucci, Danilo Croce, Andrea Vanzo, Roberto Basili

“…A Markovian formulation of the Support Vector Machine discriminative model has been here adopted to assign the sentiment polarity to entire sequences. …”
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Analysis of the criteria selection problem in diversification models by Анна Бакурова, Алла Савранська, Еліна Терещенко, Дмитро Широкорад, Марк Шевчук

“…The aim of the work is to analyze the problem of choosing criteria in the corresponding multicriteria or vector diversification problems. …”
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Analysis of the criteria selection problem in diversification models by Анна Бакурова, Алла Савранська, Еліна Терещенко, Дмитро Широкорад, Марк Шевчук

“…The aim of the work is to analyze the problem of choosing criteria in the corresponding multicriteria or vector diversification problems. …”
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Analysis of the criteria selection problem in diversification models by Анна Бакурова, Алла Савранська, Еліна Терещенко, Дмитро Широкорад, Марк Шевчук

“…The aim of the work is to analyze the problem of choosing criteria in the corresponding multicriteria or vector diversification problems. …”
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Analysis of the criteria selection problem in diversification models by Анна Бакурова, Алла Савранська, Еліна Терещенко, Дмитро Широкорад, Марк Шевчук

“…The aim of the work is to analyze the problem of choosing criteria in the corresponding multicriteria or vector diversification problems. …”
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TRANSDISCIPLINARY MODEL OF A CONTEMPORARY EFFECTIVE MANAGER by N. Khmelkova

“…Russian economy is experiencing a severe shortage of Managerial Human Resources being increased against the background of modernization-based vector. The lack of competent supervisors leads to scarcity of reference models necessary for the formation of new-generation managers.There is no consensus regarding the training of modern effective manager, some specialists show leveling the valuables of fundamental education in the sphere of management advocating for its substitution by short-term business courses and practical experience.The author of the article states that in current conditions managers need new essential competences enabling them to renew the knowledge very fast and see the wide market context. …”
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String processing model for knowledge-driven systems by V. P. Ivashenko

“…The purpose of the work is to confirm experimentally theoretical estimates for time complexity of operations of the string processing model linked with the metric space for solving data processing problems in knowledge-driven systems including the research and comparison of the operation characteristics of these operations with the characteristics of similar operations for the most relevant data structures. …”
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