Browsing 2024 International Conference "Electrical, Electronic and Information Sciences“ (eStream) by Faculty "Elektronikos fakultetas / Faculty of Electronics"
Now showing items 1-15 of 15
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Adaptive Methods for Kernel Initialization of Convolutional Neural Network Model Applied to Plant Disease Classification
(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 ... -
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
(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 ... -
Compensated Stepped Microstrip Lines: A Novel Approach for Impedance Discontinuity Mitigation
(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 ... -
Empowering Industrial Energy Management: Advancing Short-Term Load Forecasting with LSTM and CNN Deep Learning Models - Insights from a Moroccan Case Study
(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 ... -
Exploration of Genetic Algorithm-Driven Hyperparameter Optimization for Convolutional Neural Networks
(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
(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
(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, ... -
Kernel Filter-Based Image Construction from Scanning Electrochemical Microscopy Approach Curves
(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 ... -
Person Detection in Thermal Images: A Comparative Analysis of YOLOv8 and YOLOv9 Models
(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
(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)
(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 ... -
A Review on Improvement in Detection of Cyberattacks Using Artificial Intelligence for the Grid Applications
(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 ... -
Spatial and Wavelet Attention-Enhanced Super-Resolution for Small Object Detection in Satellite Imagery
(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 ... -
Towards Human Activity Recognition in Smart Environments through Thermal Imaging
(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 ...