33 results for machine learning

Distributed machine learning for IoT

Volodymyr Kadzhaia; Aistis Raudys

Vilnius University Open Series (2022) · 2022 · Lithuanian · DOAJ

In the modern world, big data is used in machine learning, which is quite difficult to process on a single computer, so various methods for parallel processing of such data are being developed. But what about microcontrollers? In a cloud system, microcontrollers are often found, thanks to which…

Machine learning algorithm application in trip planning

Grantas Gadliauskas; Andrius Kriščiūnas

Vilnius University Open Series (2022) · 2022 · Lithuanian · DOAJ

This article explores how machine learning can be applied in efficiently solving a variation of the Travelling Salesman Problem (TSP) in the context of air travel tourism. Large number of cities create too many trip route combinations to be efficiently evaluated in real time. The method proposed…

Real estate valuation using machine learning techniques

Simonas Adomavičius

Lietuvos Matematikos Rinkinys, Vol. 63 No. B · 2022 · Lithuanian · DOAJ

In this work, the methods of artificial intelligence are analyzed in order to perform a more accurate value prediction of the apartments sold in Vilnius city and district. The work uses publicly available information about apartments put for sale on Aruodas.lt, which is collected in an automated…

Network intrusion detection using hybrid machine learning methods

Karina Čiurlienė; Denisas Stankevičius

Mokslas: Lietuvos Ateitis, Vol. 15 · 2023 · Lithuanian · DOAJ

Network intrusion detection is a relevant cybersecurity research field. The growing number of intrusions requires more sophisticated methods to protect computer networks. Various machine learning algorithms are used to detect network intrusions and anomalies, but their accuracy is limited. In this…

Improvement of incident management model using machine learning methods

Roman Jevsejev; Mindaugas Bereiša

Mokslas: Lietuvos Ateitis, Vol. 16 · 2024 · Lithuanian · DOAJ

…resolution time of incidents is important. „Service Desk“ tools, applying machine learning methods, can help optimize these processes. Incorrectly classified user requests lead to additional work for the IT team and delay incident resolution. Machine learning methods, such as K-means clustering…

Machine Learning in Acute Stroke Neuroimaging. A Systematic Literature Review

D. Matuliauskas; I. Stražnickaitė; A. Samuilis et al.

Neurologijos seminarai, Vol. 26 No. 2 (92) · 2023 · Lithuanian · DOAJ

Background. Artificial intelligence (AI) in medical imaging is a growing and promising technology that can be applied in stroke diagnosis. The study aims to overview studies that compare diagnostic performance of AI applications in stroke detection and seg- mentation of stroke lesions with and…

Also available at: DOAJ

Guiding Learners in Using Machine Translation for Second and Foreign Language Learning: the Case at Malaysian Higher Education

Lew Ya Ling; Kaur Naginder; Hamid Huzaifah A et al.

Darnioji daugiakalbystė, Vol. 26 No. 1 · 2025 · Lithuanian · DOAJ Scopus

This study examines the instructional methods employed by university educators in Malaysia to facilitate learners’ use of machine translation (MT) in acquiring second or foreign language. The research aimed to delineate the effective strategies and techniques employed by instructors to steer…

Making Virtual Learning Environment more intelligent: the problem of software agent’s mental state recognition

Dalia Baziukaitė

Lietuvos Matematikos Rinkinys, Vol. 45 No. spec. · 2005 · Lithuanian · DOAJ

Intelligent decision making process, which is performed according to a learner in the Virtual Learning Environment (VLE), leads to the problem of solving several rather complex tasks. Two of them are most of interest. First, we need to train a software agent to recognize its mental state; and…

Also available at: DOAJ

Educational Perspective: AI, Deep Learning, and Creativity

Augustinas Dainys; Linas Jašinauskas

Problemos, Vol. 103 · 2023 · Lithuanian · DOAJ Scopus

Can artificial intelligence (AI) teach and learn more creatively than humans? The article analyses deep learning theory, which follows a deterministic model of learning, since every intellectual procedure of an artificial agent is supported by concrete neural connections in an artificial neural…

Comparative Analysis of Deep Learning Models for Cryptocurrency Price Predictions: Evidence Based on Bitcoin (BTC), Ethereum (ETH), Ripple (XRP) and Solana (SOL)

Adedeji Daniel Gbadebo

Buhalterinės Apskaitos Teorija ir Praktika, Vol. 32 · 2025 · Lithuanian · DOAJ

This research examines deep-learning and machine-learning models for cryptocurrency price prediction, with a keen focus on Bitcoin (BTC), Ethereum (ETH), Ripple (XRP), and Solana (SOL). Cryptocurrencies exhibit high volatility, non-linear behavior and are able to react strongly to exogenous events…

Nonlinear models for recognition of concentration of mixture

Feliksas Ivanauskas; Robertas Paulauskas; Pranas Vaitkus

Lietuvos Matematikos Rinkinys, Vol. 47 No. spec. · 2021 · Lithuanian · DOAJ

In this paper extreme learning machine and support vector regression are used for biosensors response to mixtures of compounds classification. The results are compared with the results obtained using artificial neural networks and others.

Comparison of relevant credit risk assessment algorithms

Simas Rimašauskas; Igoris Belovas; Rolandas Gricius

Lietuvos Matematikos Rinkinys, Vol. 66 No. A · 2025 · Lithuanian · DOAJ

…is also useful in other areas, such as risk management. In the era of machine learning and big data, new techniques have emerged that allow for automated risk assessment based on large amounts of data. Traditional creditworthiness assessment methods may be inaccurate, as the investor could be…

Support system for speculation by exchange trades funds

Gediminas Tumaševičius; Nijolė Maknickienė

Mokslas: Lietuvos Ateitis, Vol. 14 · 2022 · Lithuanian · DOAJ

…funds. The support system is developed on the basis of reinforcement learning, the methods of synthesis, concretization and generalization were used to create and detail the system, as well as the methods of mathematical-statistical analysis were used to process them. Successful application of the…

Artificial Intelligence and Fake News

Fadia Hussein; Hussin J. Hejase

Žurnalistikos Tyrimai, Vol. 16 · 2022 · Lithuanian · DOAJ

…high-performance computing capabilities and a technical platform for deep machine learning. These resources will enable the artificial intelligence platform to master the machine learning techniques of using, developing, simulating, predicting models, and building ready-to-use technological…

Using natural shape statistics of urban form to model social capital / Socialinio kapitalo modeliavimas taikant pastatų formos statistinę analizę

Marius Ivaškevičius

Mokslas: Lietuvos Ateitis, Vol. 9 No. 1 · 2017 · Lithuanian · DOAJ

…cognition is computationally predictable with natural shape analysis and machine learning methods. In the analysis of shape, a topological skeleton is a proven method to acquire statistical data that correlates with data collected from human experiments. In this study, the analysis of urban form…

MOOC Coursera Content Post-editing

Dalia Lapinskaitė; Dalia Mankauskienė

Vertimo Studijos, Vol. 15 · 2022 · Lithuanian · DOAJ

This paper presents the post-editing features of the machine translation (MT) system Smartling used to translate the learning content of MOOC (Massive Open Online Course) Coursera. Most of the Coursera content is delivered in English, which is one of the reasons for the low uptake of these courses…

SmartNews: An Automatic Approach for Event Detection on Media Platforms

Hussein Hazimeh

Žurnalistikos Tyrimai, Vol. 16 · 2022 · Lithuanian · DOAJ

…accuracy, precision, and recall results, after evaluating different machine learning algorithms.

The Role of Data Analytic to Enhance Design Thinking Process in Producing Social Media Contents

Bonnie Soeherman; Calvin Leonardo Soeherman

Information & Media, Vol. 102 · 2025 · Lithuanian · DOAJ Scopus

Introduction. This research explains how the integration of roles and optimization of data analytics within the design thinking process can develop social media accounts organically. Method. This study uses an auto-netnography method that focuses on the process of figuring out the output of the…