Buscar recursos académicos

Abstract Long-range dependency processing is the core challenge of sequence modeling, and traditional sequence modeling algorithms suffer from information decay and low parallel computing efficiency in ultra long sequenc...

Abstract Proposed research presents a data-driven framework for forecasting municipal solid waste (MSW) generation and emission dynamics in Erode City, India, by employing supervised machine learning algorithms. Leveragi...

Formulation of the problem. In scientific research in sociology, education, physics, chemistry and other sciences, methods of correlation analysis are used. Correlation coefficients are used to determine the existence of...

This study aims to determine the effect of work climate, work discipline, and workload on employee job satisfaction at the Environmental and Forestry Service of the Special Region of Yogyakarta. The method used in this s...

As Machine Learning Operations (MLOps) adoption accelerates, systematic integration of explainability is imperative for reliability, transparency, and continuous quality assurance. This paper presents a scoping review ex...

The study examines the directions of development of the European food market and identifies the probable trends of its further transformation. It reveals the main tendencies of Ukraine’s agri-food foreign trade in the ...

The rapid development of information technology has significantly transformed administrative practices within government institutions, encouraging the transition from conventional manual systems to integrated digital pla...

Understanding how consumers behave in e-commerce is essential for businesses, especially in today’s digital world where people rely heavily on online shopping platforms. A key part of this understanding comes from sent...

In recent years, the distributed fiber optic sensing technology has become a new tool in the research area of geotechnical tests and measurements and played an increasingly important role in deformation monitoring of geo...

Abstract Precise extraction of medical phenotypes and entities from electronic health record (EHR) text is vital for numerous clinical research tasks, including cohort classification, tracking temporal patterns in diseas...

Abstract Quantitative analysis of fluorescence microscopy images remains a significant challenge in cytopathological assessments, as subjective interpretation and inter‐observer variability hinder reproducibility and s...

This paper analyzes the statistical toolkit of Eurostat for collecting and processing data on the implementation of Artificial Intelligence (AI) in enterprises across European Union (EU) countries. The study defines the ...

Abstract Skin diseases affect a considerable part of the world population, but it is not easy to diagnose these diseases on time because of the limited availability of dermatologists and the similarity of lesions. This r...

Abstract Background Reliable ECGs are crucial for diagnosing arrhythmias, yet a lack of standardization impedes arrhythmia diagnosis and treatment in horses. Objectives To objectively determine an optimal position of Ein...

Event-based image processing represents an emerging research field within computer vision and is gaining increasing relevance in modern imaging technologies. In contrast to conventional frame-based approaches, neuromorph...

During 2020–2024, developing countries faced global financial turbulence caused by a cascade of exogenous shocks (COVID-19 pandemic, geopolitical crises, inflationary pressure), leading to a significant deterioration i...

The prediction of suspended sediment concentration (SSC) is of critical importance for the management of aquatic ecosystems, flood control, and erosion assessments. However, the continuous measurement of SSC is technical...

Abstract Background Super-enhancers are critical cis-regulatory elements that play a central role in modulating gene expression and driving cellular identity. Their dysregulation is closely associated with the developmen...

The article substantiates the need to modernize customs statistics of Ukraine as a key tool for forming foreign economic policy and ensuring international comparability of data in the context of European integration. The...

Tingginya ketergantungan manusia akan tekhnologi turut menggeser popularitas permainan tradisonal. Sementara pemahaman terhadap kekayaan nilai budaya lokal pada setiap permainan berperan penting dalam upaya pembinaan nil...

Forest fires in the Amazon, particularly in protected areas, pose significant challenges related to CO _2 emissions and deforestation. This study aimed to evaluate fire foci and their driving factors in the Jamanxim Nati...

The article analyzes the typology of agricultural holdings within the Farm Accountancy Data Network (FADN) and its impact on the formation of the common agricultural policy. The study emphasizes the importance of FADN as...

Although laryngeal high-speed videoendoscopy (HSV) is crucial for studying vocal fold vibrations, its translation to clinical practice has been hindered by the large volume of data it produces and the difficulty in inter...

Artificial Intelligence (AI) Technology has potential benefits and challenges that the law of awareness must overcome. Behavior contrary to legal norms often appears in AI, which can harm and endanger the nation's life. ...