Browsing by Subject "machine learning"
Now showing items 1-16 of 16
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Assessing AI algorithms for predictive modelling of spatiotemporal PM₁₀ air pollution
(Darni aplinka: 28-osios jaunųjų mokslininkų konferencijos „Mokslas – Lietuvos ateitis“ teminė konferencija / SustainableEnvironment: 28th Conference for Junior Researchers "Science - Future of Lithuania", 2025)Without a doubt, air pollution is one of the most serious issues confronting our world today, which presents significant health and environmental risks, exacerbating respiratory ailments and contributing to climate change. ... -
Comparison of Object Detection Algorithms for the Task of Person Detection on Jetson TX2 NX Platform
(2024 IEEE Open Conference of Electrical, Electronic and Information Sciences (eStream), April 25, 2024, Vilnius, Lithuania, 2024)This article is an investigation for the best suited algorithm for object detection on Jetson TX2 NX platform. Previous research aimed at determination of the quickest and the most accurate algorithm for obj ect detection ... -
Evaluation of Contour-based Features for Eyeglasses Style Classification
(2025 IEEE Open Conference of Electrical, Electronic and Information Sciences (eStream), April 24, 2025, Vilnius, Lithuania, 2025)Eyeglasses style classification is an important task in computer vision with applications in virtual try-on systems, retail, and personalized recommendations. Such systems must operate efficiently in real-time, even under ... -
Evaluation of Plane Reconstruction Distortions in Monocular Depth Maps
(2025 IEEE Open Conference of Electrical, Electronic and Information Sciences (eStream), April 24, 2025, Vilnius, Lithuania, 2025)Monocular depth estimation is a fundamental problem in computer vision with applications in robotics, augmented reality, and 3D scene reconstruction. This study evaluates the accuracy of plane reconstruction in depth maps ... -
Exploring the Effectiveness of Vision Transformers in Diabetic Retinopathy Identification via Retinal Imaging
(2024 IEEE Open Conference of Electrical, Electronic and Information Sciences (eStream), April 25, 2024, Vilnius, Lithuania, 2024)Vision transformers (ViTs) have begun to be adopted in medical imaging analysis. However, despite their success in other areas of computer vision, ViTs are still largely unexplored in this specific medical imaging task. ... -
Feature Importance analysis for encrypted brute-force attack detection based on machine learning techniques
(2025 IEEE Open Conference of Electrical, Electronic and Information Sciences (eStream), April 24, 2025, Vilnius, Lithuania, 2025)This paper explores the challenges and opportunities in detecting cyber-attacks within encrypted network traffic. While encryption ensures data privacy and secure communications, it also obscures malicious activities from ... -
Implementation of Machine Learning Algorithms for Autonomous Robot Trajectory Resolving
(2019 Open Conference of Electrical, Electronic and Information Sciences (eStream), April 25, 2019, Vilnius, Lithuania, 2019)Machine learning in the modern industry and transport became a hot issue and its implementation finding broad field in recent activities in industry and daily life. Robotic is widely using machine learning of different ... -
Implementation of Machine Learning Method for Positioning Accuracy Improvement in Industrial Robot
(2020 IEEE Open Conference of Electrical, Electronic and Information Sciences (eStream), April 30, 2020, Vilnius, Lithuania, 2020)Implementing of modern artificial intellect (AI) and machine learning (ML) for existing machinery can add value to their existing capabilities and technical characteristics. Machine learning is next step towards new ... -
Improving process performance management by predicting employee attrition in international company
(Ekonomika ir vadyba: 26-osios jaunųjų mokslininkų konferencijos „Mokslas – Lietuvos ateitis“ teminė konferencija / Economics and Management: 26th Conference for Junior Researchers "Science - Future of Lithuania", 2023)Employee attrition has become significant problem, because it affects organization’s process performance, and generates both – financial and business management loss. There is a tendency of growing employee attrition rate, ... -
Investigation of financial fraud detection by using big data analytics
(15th International Scientific Conference “Business and Management 2025”, 2025)The aim of this study is to examine the application of big data analytics in financial fraud detection, considering advancements in modern technology and the increasing complexity of financial crime schemes. The research is ... -
Investigation of financial fraud detection by using computational intelligence
(12th International Scientific Conference “Business and Management 2022”, 2022)Due to increasing technical capabilities, financial fraud becomes more sophisticated and more difficult to detect. As there are various categories and typologies of financial fraud, different detection techniques may be ... -
Kernel Filter-Based Image Construction from Scanning Electrochemical Microscopy Approach Curves
(2024 IEEE Open Conference of Electrical, Electronic and Information Sciences (eStream), April 25, 2024, Vilnius, Lithuania, 2024)A scanning electrochemical microscope (SECM) with artificial intelligence could generate the sample's activity image from approach curves measured at several points, minimizing the time of measurement and calculating sample ... -
Machine Learning Application in Predictive Maintenance
(2019 Open Conference of Electrical, Electronic and Information Sciences (eStream), April 25, 2019, Vilnius, Lithuania, 2019)Industrial organizations worldwide cannot ignore Industry 4.0 and its impact to their businesses. The biggest struggle is to find the way how to adopt all the possibilities for each plants unique use cases. In those ... -
Polynomial Approximation Degree Influence on Implicit Network Regularization for Impedance Signal Reconstruction
(2025 IEEE Open Conference of Electrical, Electronic and Information Sciences (eStream), April 24, 2025, Vilnius, Lithuania, 2025)A scanning electrochemical microscope (SECM) with artificial intelligence could generate the sample's activity image from approach curves measured at several points, minimizing the time of measurement and calculating sample ... -
Predicting Solid Particle Levels in Diesel Generators using an Autoformer Neural Network
(2025 IEEE Open Conference of Electrical, Electronic and Information Sciences (eStream), April 24, 2025, Vilnius, Lithuania, 2025)The period between 2010 and 2017 was marked by robust economic growth, which resulted in a notable rise in global energy consumption. Specifically, electricity usage surged by 19.4%, while fossil fuels experienced a 9.1% ... -
A Review on Improvement in Detection of Cyberattacks Using Artificial Intelligence for the Grid Applications
(2024 IEEE Open Conference of Electrical, Electronic and Information Sciences (eStream), April 25, 2024, Vilnius, Lithuania, 2024)The integration of artificial intelligence and machine learning technologies into critical infrastructures, such as smart grids, has raised significant concerns regarding cybersecurity. This paper explores the dual role ...