Tarptautinės konferencijos / International Conferences: Recent submissions

Now showing items 161-180 of 2865

    • 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 ...

    • 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 ...

    • 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. ...

    • Identification of Tomato Leaf Disease using YOLOv8 Detection Models on GPU and Raspberry Pi 

      Kavaliauskas, Matas; Sledevič, Tomyslav (2024 IEEE Open Conference of Electrical, Electronic and Information Sciences (eStream), April 25, 2024, Vilnius, Lithuania, 2024)
      The paper explores the automated identification of tomato leaf diseases using YOLOv8 detection models on both GPU and Raspberry Pi hardware. Through convolutional neural networks (CNNs) and transfer learning techniques, ...

    • Physical Analysis of Lateral-BTBT Induced GIDL Current in GaN-Based FinFET Devices 

      Singh Rajawat, Vandana; Kumar, Ajay; Choudhary, Bharat (2024 IEEE Open Conference of Electrical, Electronic and Information Sciences (eStream), April 25, 2024, Vilnius, Lithuania, 2024)
      In this paper, we have analyzed the behavior of the Lateral-BTBT component of gate-induced drain leakage (GIDL) current on various configurations of GaN FinFET with High-k oxide which are Bulk-GaN FinFET, JAM-GaN FinFET ...

    • Person Detection in Thermal Images: A Comparative Analysis of YOLOv8 and YOLOv9 Models 

      Breivė, Valentinas; Sledevic, Tomyslav (2024 IEEE Open Conference of Electrical, Electronic and Information Sciences (eStream), April 25, 2024, Vilnius, Lithuania, 2024)
      Person detection in thermal imagery is crucial for surveillance and monitoring applications. We assess the performance of YOLOv8 and YOLOv9 models using a new thermal image dataset. Our study reveals that both models achieve ...

    • Hallucinations in Large Language Models (LLMs) 

      Pradeep Reddy, G.; Pavan Kumar, Y. V.; Purna Prakash, K. (2024 IEEE Open Conference of Electrical, Electronic and Information Sciences (eStream), April 25, 2024, Vilnius, Lithuania, 2024)
      The recent advancements in neural network architectures, particularly transformers, have played a crucial role in the rapid progress of Large Language Models (LLMs). LLMs are trained on many parameters. By training these ...

    • Deepfake Detection Models Based on Machine Learning Technologies 

      Smelyakov, Kirill; Kitsenko, Yuriy; Chupryna, Anastasiya (2024 IEEE Open Conference of Electrical, Electronic and Information Sciences (eStream), April 25, 2024, Vilnius, Lithuania, 2024)
      The paper is devoted to efficiency evaluation of modern deepfake detection models based on convolutional neural networks (CNN). In the context of rapid development of digital technologies and increasing volume of information ...

    • The Concept of Reactive Power Management System 

      Petrauskas, Gytis (2024 IEEE Open Conference of Electrical, Electronic and Information Sciences (eStream), April 25, 2024, Vilnius, Lithuania, 2024)
      This publication presents the concept of a Building Management System and Reactive Power Management System in one software. The need for such a reactive power management system is related to the increase in the number of ...

    • Optimizing MobileNetV3 Using Particle Swarm Optimization Algorithm for the Recognition of Bean Leaf Diseases 

      Valdez, Daryl B. (2024 IEEE Open Conference of Electrical, Electronic and Information Sciences (eStream), April 25, 2024, Vilnius, Lithuania, 2024)
      Crops play a vital role in human nutrition and overall well-being. Beans are an economically significant type of crops that not only provide a rich source of protein but also offers substantial health benefits. However, ...

    • Predicting Time Complexity of TensorFlow Lite Models 

      Giedra, Henrikas; Matuzevičius, Dalius (2024 IEEE Open Conference of Electrical, Electronic and Information Sciences (eStream), April 25, 2024, Vilnius, Lithuania, 2024)
      The Internet of Things (IoT) revolutionizes global communication and data exchange, while edge computing optimizes data transmission and enhances security, adaptability, and cost-effectiveness. However, integrating computer ...

    • Towards Human Activity Recognition in Smart Environments through Thermal Imaging 

      Vdoviak, Gabriela; Sledevič, Tomyslav (2024 IEEE Open Conference of Electrical, Electronic and Information Sciences (eStream), April 25, 2024, Vilnius, Lithuania, 2024)
      This paper presents the results of keypoint detection achieved through training YOLOv8 pose models on a thermal person dataset, aiming towards human activity recognition in smart environments. The YOLOv8 pose models, ranging ...

    • Kernel Filter-Based Image Construction from Scanning Electrochemical Microscopy Approach Curves 

      Ivinskij, Vadimas; Morkvėnaitė-Vilkončienė, Inga (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 ...

    • 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 ...

    • Investigation of Accuracy of Linear Motor Positioning Systems using Different Filters 

      Urbonas, Edgaras; Kilikevičius, Artūras; Savickas, Julius; Valaitis, Danielius (2024 IEEE Open Conference of Electrical, Electronic and Information Sciences (eStream), April 25, 2024, Vilnius, Lithuania, 2024)
      Fast-paced competition in the industrial environment requires high-precision, high-performance systems that allow industry players to stay on top. Precise changes to the mechanical structure of the positioning system are ...

    • Taxonomy of E-Course Quality Metrics and Automated Evaluation Possibilities 

      Gancevska, Beata; Ramanauskaitė, Simona (2024 IEEE Open Conference of Electrical, Electronic and Information Sciences (eStream), April 25, 2024, Vilnius, Lithuania, 2024)
      Nowadays, the popularity of online learning is growing rapidly, and e-courses are becoming one of the main ways of learning. To successfully conduct online training, it is crucial to ensure the high quality of learning ...

    • The Study of the Dynamics Limits of Gas Flow in the Connecting Channels of Agglomeration Apparatus 

      Zdanevičius, Stanislovas; Chlebnikovas, Aleksandras (2024 IEEE Open Conference of Electrical, Electronic and Information Sciences (eStream), April 25, 2024, Vilnius, Lithuania, 2024)
      Ambient air quality is considered one of the indicators of a sustainable lifestyle. Traditional cleaning technologies based on gravitational, centrifugal, electrostatic, and other operating principles are not effective in ...