Suchergebnisse - language learning algorithm
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Detecting indicators of violence in digital text using deep learning
Veröffentlicht 2025-09-01VolltextIndividuals who experience violence often use digital platforms to share their experiences and find assistance. Artificial intelligence (AI) techniques have emerged as one of the successful technological strategies used for the detection of indicators of violence in various forms of data, particular...
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Web application firewall based on machine learning models
Veröffentlicht 2025-07-01“… The study evaluated five classification algorithms—K-nearest neighbors, logistic regression, naïve Bayes, support vector machine, and decision tree—for detecting cross site scripting (XSS), Structured Query Language (SQL) Injection, Operating System Command Injection, and Local File Inclusion attacks. …”The increasing reliance on web applications for storing sensitive data and financial transactions has elevated the importance of web application security. A machine learning-based web application firewall was designed to protect web applications against injection vulnerabilities. A hybrid dataset, i...
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Advanced biofuels research: A Scopus database-driven bibliometric evaluation and future directions forecast via machine learning and deep learning
Veröffentlicht 2025-12-01“… In addition to bibliometric analysis, machine learning and deep learning algorithms have been used to perform natural language processing (NLP), execute topic modelling, and carry out the research evolution forecast. …”Renewable energy is a research hotspot in the present day to promote sustainability. Biofuel, an alternative to conventional fossil fuels, can contribute to environmental sustainability through being a renewable energy source and having a zero carbon footprint. However, traditional biofuels are gene...
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Text classification using SVD, BERT, and GRU optimized by improved Seagull optimization (ISO) algorithm
Veröffentlicht 2025-06-01“… Over time, techniques for text classification have progressed from rule-based methods to more advanced deep learning and machine learning approaches. Conventional approaches often struggled with the language intricacies, including issues like contextual links, polysemy, and the ambiguity among words. …”Text classification is a key task in natural language processing that entails sorting textual information into specified categories. Over time, techniques for text classification have progressed from rule-based methods to more advanced deep learning and machine learning approaches. Conventional appr...
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Multi-objective optimization for smart cities: a systematic review of algorithms, challenges, and future directions
Veröffentlicht 2025-07-01“… While established methods such as Non-dominated Sorting Genetic Algorithm II (NSGA-II) and Multiobjective Evolutionary Algorithm based on Decomposition (MOED/D) remain prevalent, hybrid frameworks that couple deep learning with evolutionary search display superior adaptability in high-dimensional, dynamic environments. …”With the growing complexity and interdependence of urban systems, multi-objective optimization (MOO) has become a critical tool for smart-city planning, sustainability, and real-time decision-making. This article presents a systematic literature review (SLR) of 117 peer-reviewed studies published be...
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Breaking Down Walls: A Literature Review on the Power of Artificial Intelligence in Enhancing Universal Language Connection
Veröffentlicht 2025-06-01“… AI also improves professional communication efficiency and supports personalized language learning, promoting intercultural competence. …”Background: Effective communication across linguistic and cultural boundaries is essential for global collaboration, yet language barriers continue to impede interactions. Artificial intelligence (AI), particularly through advancements in Natural Language Processing (NLP) and machine translation, of...
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Features of Recruitment: Intelligent Text Analysis of Resume and Vacancies
Veröffentlicht 2025-01-01VolltextIntroduction. This study is devoted to the analysis of the peculiarities of personnel selection in the Russian labor market, with an emphasis on the problem of imbalance between the requirements of employers and the expectations of job seekers. The focus of attention is on the differences in the rep...
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Analysis of 19.9 million publications from the PubMed/MEDLINE database using artificial intelligence methods: approaches to the generalizations of accumulated data and the phenomen...
Veröffentlicht 2020-08-01VolltextIntroduction. The English-language databases PubMed/MEDLINE and Embase are valuable information resources for finding original publications in basic and clinical medicine. Currently, there are no artificial intelligence systems to evaluate the quality of these publications.Aim. Development and testi...
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Machine Learning Model for Processing Aerospace Images of the Earthʼs Surface
Veröffentlicht 2024-03-01“… The methodology for creating a machine learning model includes defining the goals and objectives of the model, selecting an appropriate learning algorithm (in this case, neural networks), collecting and preparing a data set, tuning the model, and testing on a test data set. …”The article presents the specifics of acquisition and processing aerospace images of the earth's surface in the context of their digitalization for creating accurate topographic maps and plans in digital and graphic formats. A data processing model has been developed based on the Python program...
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Teaching Additional Programming Languages on the Basis of Mapping in the System of Professional Development of Computer Science Teachers
Veröffentlicht 2024-03-01“… It is concluded that the use of matching schemes in the practical activity of a teacher reduces the time of learning a second programming language, forms an integrated approach to the study of algorithmic techniques, expands the professional skills of computer science teachers, and, therefore, the corresponding technology can be included in the content of the system of professional development of teachers. …”The quality of acquired IT knowledge and Uniform State Exam (USE) results in informatics can be higher if students learn additional languages with broader capabilities in addition to the main programming language. The research is aimed at finding didactic technologies that allow expanding the range...
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Research on the Construction and Application of Earthquake Emergency Information Knowledge Graph Based on Large Language Models
Veröffentlicht 2025-01-01“… The path confidence constraint algorithm (PCCA) is used to achieve deep semantic associations of earthquake disaster elements. …”To address the challenges of semantic parsing of multi-source heterogeneous information and the delayed emergency response decisions caused by insufficient relational reasoning capabilities in earthquake emergency management, this study proposes a domain knowledge extraction method for earthquakes b...
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Realtime Monitoring of Animal Behavior Using Deep Learning Models
Veröffentlicht 2025-07-01VolltextAccurate monitoring of animal health and behavior is crucial for improving welfare and productivity in livestock management. Traditional observation methods are time-consuming and prone to subjective bias. To address these challenges, we propose an automated system for behavioral pattern using deep...
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Large Language Models in Transportation: A Comprehensive Bibliometric Analysis of Emerging Trends, Challenges, and Future Research
Veröffentlicht 2025-01-01“… Overcoming these challenges requires greater transparency through causal learning, enhanced reasoning via hybrid AI models, and inclusive frameworks that address algorithmic bias and ensure equitable adoption. …”This paper presents a comprehensive review and bibliometric analysis of Large Language Models (LLMs) in transportation, exploring emerging trends, challenges and future research. Understanding their evolution and impact in transportation research is essential. The study used Scopus as the primary da...
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Research on a Multi-Dimensional Information Fusion Mechanical Wear Fault-Diagnosis Algorithm Based on Data Regeneration
Veröffentlicht 2025-06-01“… Under laboratory conditions for recording a small amount of data, the characteristics of the phenomena distribution become a limitation of machine learning and advanced deep learning concepts for the diagnosis and localization of mechanical wear faults. …”Under laboratory conditions for recording a small amount of data, the characteristics of the phenomena distribution become a limitation of machine learning and advanced deep learning concepts for the diagnosis and localization of mechanical wear faults. In this paper, we adopt the combination of the...
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Collocation ranking: frequency vs semantics
Veröffentlicht 2021-12-01“… In the experiment, two methods were used: for the quantitative part of the evaluation, we used supervised machine learning with the area-under-the-curve (AUC) ROC score and support-vector machines (SVMs) algorithm, and in the qualitative part the ranking results of the two methods were evaluated by lexicographers. …”Collocations play a very important role in language description, especially in identifying meanings of words. Modern lexicography’s inevitable part of meaning deduction are lists of collocates ranked by some statistical measurement. In the paper, we present a comparison between two approaches to the...
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Using machine learning to study the population life quality: methodological aspects
Veröffentlicht 2022-03-01“… Computational experiments with different algorithms were carried out, according to the results of which the Rubert-tiny algorithm was selected due to its high learning and classification rate. …”Assessment of the population life quality is an important and relevant sociological task. Machine learning as a classification tool of social network users’ digital traces makes it possible to create a base to calculate subjective life quality index. The article consistently reviews all stages of the...
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TDQE：a quality evaluation method for text data in deep learning
Veröffentlicht 2025-01-01“… Text data quality is an important factor affecting the performance of language models. and its evaluation methodology is considered decisive for model training effectiveness. …”Text data quality is an important factor affecting the performance of language models. and its evaluation methodology is considered decisive for model training effectiveness. To address the issues of high computational costs and incomplete evaluation metrics in existing text data quality assessment...
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“FLIPPED CLASSROOM” METHOD WITH BYOD-TECHNOLOGY APPLICATION AS A TOOL TO DEVELOP COMMUNICATION SKILLS IN TEACHING FOREIGN LANGUAGES
Veröffentlicht 2018-02-01VolltextA promising method of “flipped classroom” is becoming increasingly popular among university teachers. The growing demand to use this method can be explained by the desire of teachers to intensify the learning process with the existing restriction on contact hours with students. “Flipped classroom” i...
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A Semi-Supervised-Learning-Aided Explainable Belief Rule-Based Approach to Predict the Energy Consumption of Buildings
Veröffentlicht 2025-05-01VolltextPredicting the energy consumption of buildings plays a critical role in supporting utility providers, users, and facility managers in minimizing energy waste and optimizing operational efficiency. However, this prediction becomes difficult because of the limited availability of supervised labeled da...
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Identification of DNA N6-methyladenine modifications in the rice genome with a fine-tuned large language model
Veröffentlicht 2025-06-01“… These features are then processed by an XGBoost algorithm to generate predictions. To further validate the effectiveness of our fine-tuning strategy, we employ UMAP(Uniform Manifold Approximation and Projection) visualization. …”DNA N6-methyladenine (6mA) plays a significant role in various biological processes. In the rice genome, 6mA is involved in important processes such as growth and development, influencing gene expression. Therefore, identifying the 6mA locus in rice is crucial for understanding its complex gene expr...
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