• AI Models of Pulmonary Sarcoidosis Detection 

      Shcherban, Yaroslav; Kyrylo, Smelyakov; Chupryna, Anastasiya (2024 IEEE Open Conference of Electrical, Electronic and Information Sciences (eStream), April 25, 2024, Vilnius, Lithuania, 2024)
      Sarcoidosis, a multifaceted inflammatory disorder, often involves the ′ lungs, presenting challenges in diagnosis and management. Computed tomography (CT) imaging is pivotal in assessing pulmonary sarcoidosis, yet ...
    • A bibliometric review on artificial intelligence and entrepreneurship 

      Kalsoom, Ghulam; Zamečnik, Roman; Abbas, Zuhair; Khan, Marium Mateen (15th International Scientific Conference “Business and Management 2025”, 2025)
      Artificial intelligence and entrepreneurship considered as useful for industries, institutions and society. We selected peer-reviewed 149 articles by using Web of Science period from 2016 to 2024. We analyzed the data by ...
    • Dirbtinio intelekto taikymas šildymo, vėdinimo ir oro kondicionavimo sistemoms optimizuoti: galimybės, iššūkiai ir perspektyvos 

      Banuškevičius, Artūras (Darni aplinka: 28-osios jaunųjų mokslininkų konferencijos „Mokslas – Lietuvos ateitis“ teminė konferencija / SustainableEnvironment: 28th Conference for Junior Researchers "Science - Future of Lithuania", 2025)
      Dirbtinio intelekto (DI) technologijos sparčiai tobulėja, o jų taikymas optimizuojant šildymo, vėdinimo ir oro kondicionavimo (ŠVOK) sistemų veikimą tampa vis plačiau paplitęs. ŠVOK sistemos naudoja apie 40 % pastatų energijos, ...
    • Evaluation of Deep Learning Systems in Medical Diagnosis 

      Kyrychenko, Iryna; Tereshchenko, Glib; Kozak, Daria; Chupryna, Anastasiya (2025 IEEE Open Conference of Electrical, Electronic and Information Sciences (eStream), April 24, 2025, Vilnius, Lithuania, 2025)
      Deep learning in medical image analysis has significantly improved diagnostic accuracy. However, using commercial solutions such as Google DeepMind Health, IBM Watson Health, and Aidoc is financially demanding, limiting ...
    • Evaluation of the portfolio performance indicators, using Evolino RNN trading model 

      Maknickienė, Nijolė (International Scientific Conference „Contemporary Issues in Business, Management and Education ‘2012“, 2012)
      The conditions for investment depend on correct forecasts of financial markets parameters received by artificial intelligence based on currency trading models, where AI was used as probabilistic forecasting tool. Improvements ...
    • Exploring the Effectiveness of Vision Transformers in Diabetic Retinopathy Identification via Retinal Imaging 

      Jankevičiūtė, Rūta; Abromavičius, Vytautas (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. ...
    • FinTech įtaka ekonomikai 

      Žilinskas, Ignas; Žilinskij, Grigorij (Ekonomika ir vadyba: 23-osios jaunųjų mokslininkų konferencijos „Mokslas – Lietuvos ateitis“ teminė konferencija / Economics and Management: Proceedings of the 23rd Conference for Junior Researchers "Science - Future of Lithuania", 2020)
      Straipsnyje nagrinėjama finansinių technologijų investicijų įtaka skirtingų šalių ekonomikoms. Darbe nagrinėjamos finansinių technologijų priemonės, kurios yra: sutelktinis finansavimas, didžiųjų duomenų analitika, blokų ...
    • Generative tools of AI in education 

      Mironova, Julija; Riiascshenko, Viktoria; Bondarenko, Andrey; Kinderis, Remigijus; Verdenhofa, Olga (14th International Scientific Conference “Business and Management 2024”, 2024)
      Since generative tools of Artificial Intelligence appeared in education, ongoing discussion arose. Still, higher education institutions argue if generative tools can be used, and if yes, what exactly can be accepted. The ...
    • Impact of time zones on forecasting of exchange market based on distribution of expected values 

      Maknickienė, Nijolė; Maknickas, Algirdas (9th International Scientific Conference “Business and Management 2016”, 2016)
      Forecasting of chaotic changes of exchange rates usually is based on historical data and depends on the choice of time intervals. This study seeks to develop new forecasting method based on data of different time zones. ...
    • Investigation of exchange market prediction model based on high-low daily data 

      Stankevičienė, Jelena; Maknickienė, Nijolė; Maknickas, Algirdas (8th International Scientific Conference “Business and Management 2014”, 2014)
      The model of Evolino recurrent neural networks (RNN) based on ensemble for prediction of daily extremes of financial market is investigated. The prediction distributions of each high and lows of daily values of exchange ...
    • Investigation of financial fraud detection by using big data analytics 

      Učkuronytė, Olivija; Maknickienė, Nijolė (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 ...
    • Investment portfolio analysis by using neural networks 

      Maknickienė, Nijolė; Sabaliauskas, Darius (International Scientific Conference „Contemporary Issues in Business, Management and Economics Engineering ‘2019“, 2019)
      Purpose – the purpose of the article is to compare the formation of portfolios and to make predictions about how it will change. Research methodology – for analysis, optimization and predictions use the neural network ...
    • Pinigų plovimo atpažinimo tyrimas naudojant skaitmeninį intelektą 

      Ereminė, Akvilė; Maknickienė, Nijolė (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)
      Pinigų plovimo prevencija, siekiant atpažinti ir laiku sustabdyti šią nusikalstamą veiklą, vis dar išlieka viena aktualiausių temų globaliu mastu. Didelis duomenų kiekis, susijęs su pinigų plovimo reikalavimų laikymusi, ...
    • Progress in the Implementation of Smart Elements in Process Control 

      Mäkelä, Merja; Immonen, Seppo (2019 Open Conference of Electrical, Electronic and Information Sciences (eStream), April 25, 2019, Vilnius, Lithuania, 2019)
      After manual one-task and digital, multi-task data processing, cognitive data processing is expected to be the third major generation in the progress of data processing in everyday life but also in industrial process ...
    • A Review on Improvement in Detection of Cyberattacks Using Artificial Intelligence for the Grid Applications 

      Vilkelytė, Živilė; Wojciechowski, Jerzy; Bojarczak, Piotr; Fallah, Saad El; Kharbach, Jaouad; Ouazzani Jamil, Mohammed (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 ...
    • Rinkos sentimentų prognozavimas naudojant dirbtinį intelektą 

      Maknickienė, Nijolė; Masėnaitė, Jovita (Ekonomika ir vadyba: 23-osios jaunųjų mokslininkų konferencijos „Mokslas – Lietuvos ateitis“ teminė konferencija / Economics and Management: Proceedings of the 23rd Conference for Junior Researchers "Science - Future of Lithuania", 2020)
      Kiekvienas investuotojas susiduria su efektyvių investicinių sprendimų priėmimo problema. Yra daug metodų, kuriais stengiamasi išanalizuoti finansų rinkoje vykstančių pokyčių priežastis bei remiantis tokia informacija ...
    • Selection of orthogonal investment portfolio using Evolino RNN trading model 

      Maknickienė, Nijolė (Procedia - Social and Behavioral Sciences, 2014)
      Investing in financial market require the reliable predicting of expecting returns, assessment of risk and reliability. Principle of portfolio orthogonality was using to reduce the risk of the investment. An artificial ...
    • Skaitmeninių valiutų kainų prognozavimas naudojant giliojo mokymosi algoritmą 

      Maknickienė, Nijolė; Miškinytė, Kristina (Ekonomika ir vadyba: 23-osios jaunųjų mokslininkų konferencijos „Mokslas – Lietuvos ateitis“ teminė konferencija / Economics and Management: Proceedings of the 23rd Conference for Junior Researchers "Science - Future of Lithuania", 2020)
      Kriptovaliutos vis dar yra finansų rinkos naujovė ir iki galo neištirta finansinis instrumentas. Tai išlaiko kriptovaliutas įdomia ir aktualia tema, tiek mokslininkams, tiek reguliacinėms institucijoms bei investuotojams. ...
    • Understanding human roles in AI-driven aviation through an evolutionary economics lens 

      Navarro-Meneses, Francisco Javier; Pablo-Marti, Federico (15th International Scientific Conference “Business and Management 2025”, 2025)
      This study investigates how human roles retain strategic value in AI-driven aviation through an evolutionary economics lens. Using a mixed-methods approach – combining theoretical analysis, case studies, a Delphi process, ...