DSpace at VGTU: Recent submissions

Now showing items 21-40 of 52313

    • MangroveLens: A Smart Solution for Mangrove Species Identification Through MobileNetV3 Network Architecture and Biodiversity Monitoring 

      Viodor, Ariel Christian C. (2024 IEEE Open Conference of Electrical, Electronic and Information Sciences (eStream), April 25, 2024, Vilnius, Lithuania, 2024)
      Mangroves, as vital coastal ecosystems, play a significant role in maintaining biodiversity and providing essential ecosystem services. However, difficulties with species identification and biodiversity monitoring impede ...

    • Free DBMSs Performance for an Inventory Management System based on Spring Boot 

      Guzhov, Viacheslav; Smelyakov, Kyrylo (2024 IEEE Open Conference of Electrical, Electronic and Information Sciences (eStream), April 25, 2024, Vilnius, Lithuania, 2024)
      This research examines the integration of free Database Management Systems (DBMSs) with a Spring Bootdriven Inventory Management System. Evaluating MySQL, PostgreSQL, MongoDB, and SQLite, the study explores performance ...

    • Implementing a Support Vector Classifier for Student Risk Assessment in Colegio De Getafe: A Machine Learning Approach 

      Remolado, Alvin T.; Brosas, Deborah G. (2024 IEEE Open Conference of Electrical, Electronic and Information Sciences (eStream), April 25, 2024, Vilnius, Lithuania, 2024)
      This study addresses the persistent need for technological advancement in higher education to provide quality higher education and early classification for students who are struggling academically. The study's focus is ...

    • Predicting Geographic Distribution and Potential Habitat of Marine Bivalves * 

      Maravillas, Alme B. (2024 IEEE Open Conference of Electrical, Electronic and Information Sciences (eStream), April 25, 2024, Vilnius, Lithuania, 2024)
      Understanding the habitat suitability of the species has been one of the main focus of biodiversity conservation. Species Distribution Modelling (SDM) has great potential to support marine conservation planning. SDM can ...

    • 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. ...

    • Development of an Algorithm-Based Analysis-Compression Integrated Communication Tracking Management Information System (iCTMIS) 

      Abuda, Carlo Jude P.; Villafuerte, Ritchell S. (2024 IEEE Open Conference of Electrical, Electronic and Information Sciences (eStream), April 25, 2024, Vilnius, Lithuania, 2024)
      This study addresses the challenges of administrative tasks and communication tracking at Visayas State University Alangalang (VSUA), highlighting the inefficiencies in the current manual tracking of communication processes. ...

    • Improved Quick Sort Average Performance Time by Combining with Selection and Insertion Algorithms 

      Aljulaidan, Noura M.; Al abeedah, Norah A.; Almalki, Reem S.; Alqarni, Shahad B.; Alramadan, Zainab R.; Abdo Ali, Azza A. (2024 IEEE Open Conference of Electrical, Electronic and Information Sciences (eStream), April 25, 2024, Vilnius, Lithuania, 2024)
      In many real-world applications, sorting is a crucial data structure. Sorting algorithms are methods for rearranging a collection of unsorted items into a desired format or order. A lot of sorting algorithms are developed ...

    • Hybrid Neural Network Classifier for Detecting Weeds and Plant Diseases in Greenhouses 

      Chaikovskyi, Serhii; Smelyakov, Sergey (2024 IEEE Open Conference of Electrical, Electronic and Information Sciences (eStream), April 25, 2024, Vilnius, Lithuania, 2024)
      Greenhouse farming plays a crucial role in satisfying the demand throughout the year, regardless of climatic conditions. However, maintaining crop health in greenhouses is critical and challenging. This paper is devoted ...

    • Comparison of Object Detection Algorithms for the Task of Person Detection on Jetson TX2 NX Platform 

      Byzkrovnyi, Oleksandr; Smelyakov, Kyrylo; Chupryna, Anastasiya; Lanovyy, Oleksiy (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 ...

    • An Experimental Selection of Deep Neural Network Hyperparameters for Engine Emission Prognosis 

      Žvirblis, Tadas; Matijošius, Jonas; Kilikevičius, Artūras (2024 IEEE Open Conference of Electrical, Electronic and Information Sciences (eStream), April 25, 2024, Vilnius, Lithuania, 2024)
      This research presents results and discussion on prognostic deep learning models developed for the prediction of emission parameters of internal combustion engines. The resulting models were trained to predict various ...

    • A Roadmap on Developing a Taxonomy for Text Data Mining 

      Pokusajev, Sergej; Stefanovič, Pavel (2024 IEEE Open Conference of Electrical, Electronic and Information Sciences (eStream), April 25, 2024, Vilnius, Lithuania, 2024)
      Over the past decade, unstructured text data have increased significantly. Text data are utilized in various scientific research, such as sentiment analysis, semantic analysis, context extraction, or named-entity recognition. ...

    • Exploration of Genetic Algorithm-Driven Hyperparameter Optimization for Convolutional Neural Networks 

      Narmontas, Audrius; Jankevičiūtė, Rūta; Bliujus, Tomas; Vaičekauskas, Evaldas; Abromavičius, Vytautas (2024 IEEE Open Conference of Electrical, Electronic and Information Sciences (eStream), April 25, 2024, Vilnius, Lithuania, 2024)
      Convolutional Neural Networks (CNNs) have been widely used in artificial intelligence (AI) research. However, the time-intensive nature of hyperparameter optimization remains a major challenge. In this study, we investigated ...

    • Time Series Data Augmentation Methods for Deep Learning Models in Conveyor Belt Load Classification 

      Žvirblis, Tadas; Pikšrys, Armantas; Bzinkowski, Damian; Rucki, Mirosław; Kilikevičius, Artūras (2024 IEEE Open Conference of Electrical, Electronic and Information Sciences (eStream), April 25, 2024, Vilnius, Lithuania, 2024)
      This work explores time series data augmentation methods for deep learning and their application for conveyor belt tension signals. In this research, conveyor belt load data was collected and analyzed for five different ...

    • Machine Learning and Statistical Techniques for Outlier Detection in Smart Home Energy Consumption 

      Krishna, N. Sri; Pavan Kumar, Y. V.; Prakash, K. Purna; Pradeep Reddy, G. (2024 IEEE Open Conference of Electrical, Electronic and Information Sciences (eStream), April 25, 2024, Vilnius, Lithuania, 2024)
      Due to the continuous increase of smart home culture worldwide, large volumes of energy consumption data gained the attention of data scientists. Smart meters capture the energy consumption readings at a predefined rate ...

    • 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 ...

    • Vilniaus Gedimino technikos universitetas 2019 metai  

      Daniūnas, Alfonsas (Mokslas, studijos, universiteto gyvenimas, 2020)
      Vilniaus Gedimino technikos universiteto mokslinis informacinis leidinys

    • ReEnAct: Development of an Optimization Tool for the Energy Model in the Region of Peental/Loitz 

      Amin, Mohamed; Gulden, Johannes; Sommer, Romy (2024 IEEE Open Conference of Electrical, Electronic and Information Sciences (eStream), April 25, 2024, Vilnius, Lithuania, 2024)
      This paper presents a comprehensive study aimed at exploring and harnessing the renewable energy potential within the Peenetal/Loitz region. The primary objective is to maximize the utilization of renewable energy sources ...

    • Vilniaus Gedimino technikos universitetas 2018 metai 

      Daniūnas, Alfonsas (Mokslas, studijos, universiteto gyvenimas, 2019)
      Vilniaus Gedimino technikos universiteto mokslinis informacinis leidinys

    • Reconfigurable Polygonal Planar Inductor with Bistable Snapping Mechanism 

      Seliger, Norbert (2024 IEEE Open Conference of Electrical, Electronic and Information Sciences (eStream), April 25, 2024, Vilnius, Lithuania, 2024)
      A mechanically tunable planar single-turn inductor in air is proposed. The bistable flexible deflection of axially compressed wire segments is used for variation of the loop area of regular polygonal loop inductors. We ...

    • Sentiment Analysis of Hotel Reviews using Deep Learning Approaches 

      Amali, Fiqi; Halil Yigit; Kilimci, Zeynep Hilal (2024 IEEE Open Conference of Electrical, Electronic and Information Sciences (eStream), April 25, 2024, Vilnius, Lithuania, 2024)
      The tourism industry is experiencing rapid growth and is becoming one of the fastest-expanding sectors. A considerable number of travelers now make hotel bookings and share their experiences on travel e-commerce platforms. ...