Browsing 2024 International Conference "Electrical, Electronic and Information Sciences“ (eStream) by Department "Elektroninių sistemų katedra / Department of Electronic Systems"

Now showing items 1-8 of 8

    • 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 ...

    • 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 ...

    • 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. ...

    • 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 ...

    • 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 ...

    • 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 ...

    • 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 ...