Browsing 2024 International Conference "Electrical, Electronic and Information Sciences“ (eStream) by Issue Date

Now showing items 1-20 of 41

    • 2024 International Conference "Electrical, Electronic and Information Sciences“ (eStream) 

      Udris, Dainius; Sledevič, Tomyslav; Rinkevičius, Adomas (2024)

    • Empowering Industrial Energy Management: Advancing Short-Term Load Forecasting with LSTM and CNN Deep Learning Models - Insights from a Moroccan Case Study 

      Boumais, Khaoula; Messaoudi, Fayçal; Lagnaoui, Saloua; El Fallah, Saad; Udris, Dainius (2024 IEEE Open Conference of Electrical, Electronic and Information Sciences (eStream), April 25, 2024, Vilnius, Lithuania, 2024)
      Self-consumption of electricity plays an important role in the energy transition and using green, sustainable energy sources for industrial self-sufficiency and electricity bills, meeting part of their own energy needs and ...

    • Advanced Battery Management for Electric Vehicles: A Deep Dive into Estimation Techniques Based on Deep Learning for the State of Health and State of Charge of Lithium-Ion Batteries 

      El Fallah, Saad; Kharbach, Jaouad; Vanagas, Jonas; Vilkelytė, Živilė; Tolvaišienė, Sonata; Ikmel, Ghita (2024 IEEE Open Conference of Electrical, Electronic and Information Sciences (eStream), April 25, 2024, Vilnius, Lithuania, 2024)
      The precision of state of charge (SoC) prediction prediction of the SoC is necessary to avoid deep discharging and remains an important challenge in the field of electric vehicles and overcharging, which can damage batteries ...

    • Adaptive Methods for Kernel Initialization of Convolutional Neural Network Model Applied to Plant Disease Classification 

      Lagnaoui, Saloua; Boumais, Khaoula; El Fallah, Saad; En-Naimani, Zakariae; Haddouch, Khalid; Matuzevičius, Dalius (2024 IEEE Open Conference of Electrical, Electronic and Information Sciences (eStream), April 25, 2024, Vilnius, Lithuania, 2024)
      Convolutional Neural Networks are instrumental in artificial intelligence, especially in image processing, where their ability to autonomously learn hierarchical features has led to significant breakthroughs. However, the ...

    • Proceedings of the 2024 IEEE Open Conference of Electrical, Electronic and Information Sciences (eStream’ 2024) 

      Navakauskas, Dalius; Paulikas, Šarūnas; Sledevič, Tomyslav; Udris, Dainius (2024 IEEE Open Conference of Electrical, Electronic and Information Sciences (eStream), April 25, 2024, Vilnius, Lithuania, 2024)
      We are very glad to welcome our colleagues - young scientists, researchers and practitioners to the 11-th IEEE Open Conference of Electrical, Electronic and Information Sciences (eStream‘ 2024), held in Vilnius Gediminas ...

    • Spatial and Wavelet Attention-Enhanced Super-Resolution for Small Object Detection in Satellite Imagery 

      Tsai, Chieh; Lee, Pei Jun; Bui, Trong An; Pang, Tzu Yi; Liobe, John; Barzdėnas, Vaidotas (2024 IEEE Open Conference of Electrical, Electronic and Information Sciences (eStream), April 25, 2024, Vilnius, Lithuania, 2024)
      Enhancing the detection of small objects in satellite imagery is of paramount importance for applications such as military surveillance and security monitoring. The challenge lies in addressing issues such as low resolution ...

    • 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 ...

    • Compensated Stepped Microstrip Lines: A Novel Approach for Impedance Discontinuity Mitigation 

      Vasjanov, Aleksandr; Barzdėnas, Vaidotas; Wang, Sen (2024 IEEE Open Conference of Electrical, Electronic and Information Sciences (eStream), April 25, 2024, Vilnius, Lithuania, 2024)
      Modern electronic devices operate at frequencies where interconnects function as transmission lines, necessitating meticulous management of characteristic impedance (Z0) to avert signal degradation and power losses. This ...

    • 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 ...

    • 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 ...

    • 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 ...

    • 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 ...

    • 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 ...

    • 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, ...

    • 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, ...

    • 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 ...

    • 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. ...

    • 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 ...