Rezultaty - language learning algorithm
-
61
An Empirically Validated Framework for Automated and Personalized Residential Energy-Management Integrating Large Language Models and the Internet of Energy
Wydane 2025-07-01“…The system combines real-time monitoring, machine learning algorithms for behavioral analysis, and natural language processing to deliver personalized, actionable recommendations through a conversational interface. …”The growing global demand for energy has resulted in a demand for innovative strategies for residential energy management. This study explores a novel framework—MELISSA (Modern Energy LLM-IoE Smart Solution for Automation)—that integrates Internet of Things (IoT) sensor networks with Large Language...
Dokumenty pełnotekstowe
Artykuł -
62
AI generations: from AI 1.0 to AI 4.0
Wydane 2025-06-01“…Each AI generation is driven by shifting priorities among algorithms, computing power, and data. AI 1.0 accompanied breakthroughs in pattern recognition and information processing, fueling advances in computer vision, natural language processing, and recommendation systems. …”This paper proposes that Artificial Intelligence (AI) progresses through several overlapping generations: AI 1.0 (Information AI), AI 2.0 (Agentic AI), AI 3.0 (Physical AI), and a speculative AI 4.0 (Conscious AI). Each AI generation is driven by shifting priorities among algorithms, computing power...
Dokumenty pełnotekstowe
Artykuł -
63
Evaluating ChatGPT-4o for ophthalmic image interpretation: From in-context learning to code-free clinical tool generation
Wydane 2025-09-01“…Additionally, the model successfully translated schematic clinical algorithms into functional, browser-based diagnostic tools using natural language prompts alone. …”Background: Large language models (LLMs) such as ChatGPT-4o have demonstrated emerging capabilities in medical reasoning and image interpretation. However, their diagnostic applicability in ophthalmology, particularly across diverse imaging modalities, remains insufficiently characterized. This stud...
Dokumenty pełnotekstowe
Artykuł -
64
Image analysis, classification and change detection in remote sensing : with algorithms for Python /
Wydane 2019"This fourth edition is focused on the development and implementation of statistically motivated, data-driven techniques through a tight interweaving of statistical and machine learning theory with algorithms and computer codes. The material is self-contained and illustrated with many programmi...
Książka
-
65
Development and Prospects of National Intelligent System for Testing General Language Competencies Deployed Through Neural Network Solutions
Wydane 2023-09-01Dokumenty pełnotekstoweThe article presents the results of approbation of the intellectual system for testing general language competences (ISTOK) developed by testologists, linguists, specialists in methodology of teaching foreign languages and in artificial intelligence. This system includes a range of tests assessing l...
Artykuł -
66
An enhanced approach for automatic annotation of error codes based on Seq2edit
Wydane 2025-07-01Dokumenty pełnotekstoweThe deep natural language translation models have been used for automatic code error correction and have demonstrated outstanding potential. However, a large and accurately annotated training dataset is essential for these models to perform well. The key to improving the performance of these models...
Artykuł -
67
A hybrid BERT-BiRNN framework for mental health prediction using textual data
Wydane 2025-09-01Dokumenty pełnotekstoweEffective mental health prediction requires training of artificial intelligence algorithms on relevant datasets obtained from individuals suffering from mental illnesses. This study employs a labelled text dataset derived from Lyf Support app. To harness the potential of this dataset for the develo...
Artykuł -
68
Plugging Small Models in Large Language Models for POI Recommendation in Smart Tourism
Wydane 2025-06-01Dokumenty pełnotekstowePoint-of-interest (POI) recommendation is a crucial task in location-based social networks, especially for enhancing personalized travel experiences in smart tourism. Recently, large language models (LLMs) have demonstrated significant potential in this domain. Unlike classical deep learning-based m...
Artykuł -
69
A Quantum-like Approach to Semantic Text Classification
Wydane 2025-07-01“…Special attention is given to the problem of segmenting text into semantic units, and we illustrate how the choice of segmentation algorithm is influenced by the structure of the language. …”In this work, we conduct a sentiment analysis of English-language reviews using a quantum-like (wave-based) model of text representation. This model is explored as an alternative to machine learning (ML) techniques for text classification and analysis tasks. Special attention is given to the problem...
Dokumenty pełnotekstowe
Artykuł -
70
Road of Large Language Model: Source, Challenge, and Future Perspectives
Wydane 2025-01-01“…Language model (LM), a foundational algorithm in the development of capable artificial intelligence, has been widely explored, achieving remarkable attainment. …”Language model (LM), a foundational algorithm in the development of capable artificial intelligence, has been widely explored, achieving remarkable attainment. As research advances, large language models (LLMs) have emerged by pretraining transformer-based models on large-scale corpora. These models...
Dokumenty pełnotekstowe
Artykuł -
71
Reconceptualizing Gatekeeping in the Age of Artificial Intelligence: A Theoretical Exploration of Artificial Intelligence-Driven News Curation and Automated Journalism
Wydane 2025-05-01“…Moreover, adaptive algorithms learn from user behavior, creating feedback loops that dynamically shape news diversity and bias over time. …”Artificial intelligence (AI) is transforming how news is produced, curated, and consumed, challenging traditional gatekeeping theories rooted in human editorial control. We develop a robust theoretical framework to reconceptualize gatekeeping in the AI era. We integrate classic media theories—gateke...
Dokumenty pełnotekstowe
Artykuł -
72
The Role of Digital Technologies in Distance Learning
Wydane 2023-03-01“…What digital learning tools are best used in foreign language classes at a university?…”Purpose. This article is devoted to the analysis of the issues of using digital technologies in foreign language classes in higher educational institutions. The relevance of the paper is explained by the fact that the issue of digitalization of the educational environment attracts the attention of r...
Dokumenty pełnotekstowe
Artykuł -
73
Interdisciplinary Distance Learning Workshop for IT Students
Wydane 2021-05-01“…An additional useful function of the learning workshop as the means of developing English-language competence is presented.Conclusion. …”Purpose of research. The purpose of research is to present proposals for the development and use of technologies for automatic checking of problem solutions in the process of forming professional competencies of students of IT-directions in the information educational environment. The article analyz...
Dokumenty pełnotekstowe
Artykuł -
74
Leveraging AI to Drive Timely Improvements in Patient Experience Feedback: Algorithm Validation
Wydane 2025-07-01“…ObjectiveLeveraging machine learning and natural language processing, this study explores the utility of a supervised algorithm to systematically test and refine the algorithm’s cross-contextual performance in diverse health care settings, addressing variations in population characteristics, geographical locations, and care settings, ultimately driving improvements based on patient feedback. …”Abstract BackgroundUnderstanding and improving patient care is pivotal for health care providers. With increasing volumes of the Friends and Family Test (FFT) data in England, manual analysis of this patient feedback poses challenges for many health care organizations. This un...
Dokumenty pełnotekstowe
Artykuł -
75
TSTBench: A Comprehensive Benchmark for Text Style Transfer
Wydane 2025-05-01Dokumenty pełnotekstoweIn recent years, researchers in computational linguistics have shown a growing interest in the style of text, with a specific focus on the text style transfer (TST) task. While numerous innovative methods have been proposed, it has been observed that the existing evaluations are insufficient to vali...
Artykuł -
76
Artificial Intelligence Applied to the Analysis of Biblical Scriptures: A Systematic Review
Wydane 2025-04-01“…Also, the classes of AI techniques with better performance when applied to Biblical text research are machine learning, neural networks, and deep learning. The main challenges in the field involve the nature and style of the language used in the Bible, among others.…”The Holy Bible is the most read book in the world, originally written in Aramaic, Hebrew, and Greek over a time span in the order of centuries by many people, and formed by a combination of various literary styles, such as stories, prophecies, poetry, instructions, and others. As such, the Bible is...
Dokumenty pełnotekstowe
Artykuł -
77
Exploring the use of a machine assisted goal and scope in a life cycle studies to understand stakeholder interest and priorities
Wydane 2025-09-01Dokumenty pełnotekstoweThe Goal and scope are essential phases within a life cycle study as they lay the foundation for the subsequent inventory modelling, impact assessment, and interpretation of results. Stakeholder engagement is critical throughout life cycle studies. Addressing diverse stakeholder interests and priori...
Artykuł -
78
Adaptive mobile application for the CATS learning system
Wydane 2020-05-01“…The proposed adaptability algorithm will allow you to create a unique training program that will build on existing knowledge and the level of perception of learning material for students. …”Using mobile devices around the world has already become commonplace. There are a huge number of applications that greatly simplify everyday life: from simple planning of actions and events to paying for goods by simply touching the terminal with a mobile device. That is why the problem of introduci...
Dokumenty pełnotekstowe
Artykuł -
79
Minangkabau Language Stemming: A New Approach with Modified Enhanced Confix Stripping
Wydane 2025-06-01“…The employed method assesses the efficacy of stemming, which differs according to language. Complex affixation patterns in Indonesian and regional languages such as Minangkabau pose considerable difficulties for traditional algorithms. …”Stemming is an essential procedure in natural language processing (NLP), which involves reducing words to their root forms by eliminating affixes, including prefixes, infixes, and suffixes. The employed method assesses the efficacy of stemming, which differs according to language. Complex affixation...
Dokumenty pełnotekstowe
Artykuł -
80
Development of an Algorithm and Module for Automatic Evaluation of Student Papers Based on Semantic Analysis of Text
Wydane 2024-07-01“…Various methods can be used to develop a module for automatic assessment of students’ work, such as:Machine learning techniques: these techniques allow the module to learn from a set of examples where lecturers have already assessed students’ papers and automatically grade new papers.Natural Language Processing (NLP) methods: these methods allow the module to understand the meaning of text and evaluate it against given criteria.Expert systems methods: these methods allow the module to utilize the knowledge of experts in assessing students’ papers. …”Research objective. The main objectives of developing a module for automatic assessment of students’ papers based on the Russian grading scale system are:– Increased grading efficiency: the automatic system can process a larger number of papers in less time than a lecturer, reducing the time spent o...
Dokumenty pełnotekstowe
Artykuł