International Conference "Electrical, Electronic and Information Sciences“ (eStream)
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Research of the Frequency Characteristics of the Semiconductor Linear Microstrip Patch Antenna
(2025 IEEE Open Conference of Electrical, Electronic and Information Sciences (eStream), April 24, 2025, Vilnius, Lithuania, 2025)This study evaluates the multiband performance of a five-element, series-fed microstrip patch antenna fabricated on n-type germanium substrates. Full-wave simulations were carried out in CST Microwave Studio across the 2.4 ... -
An Approach for Building IT Support Dataset for Machine Learning Models
(2025 IEEE Open Conference of Electrical, Electronic and Information Sciences (eStream), April 24, 2025, Vilnius, Lithuania, 2025)This study investigates the challenges of preparing datasets for machine learning models based on the data of a centralized system for managing IT incidents within an organization. Key challenges include data quality issues, ... -
Polynomial Approximation Degree Influence on Implicit Network Regularization for Impedance Signal Reconstruction
(2025 IEEE Open Conference of Electrical, Electronic and Information Sciences (eStream), April 24, 2025, Vilnius, Lithuania, 2025)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 ... -
Deep Learning-Based PID Controller Tuning for Effective Speed Control of DC Shunt Motors
(2025 IEEE Open Conference of Electrical, Electronic and Information Sciences (eStream), April 24, 2025, Vilnius, Lithuania, 2025)Electric vehicles (EVs) have become essential due to the depletion of fuel energy resources. DC machines and their role in EVs are gaining significant attention. The speed of DC motor-driven wheels in EVs is usually ... -
Evaluation of Plane Reconstruction Distortions in Monocular Depth Maps
(2025 IEEE Open Conference of Electrical, Electronic and Information Sciences (eStream), April 24, 2025, Vilnius, Lithuania, 2025)Monocular depth estimation is a fundamental problem in computer vision with applications in robotics, augmented reality, and 3D scene reconstruction. This study evaluates the accuracy of plane reconstruction in depth maps ... -
Evaluation of MoViNet Streaming Models for Real-Time Action Recognition in Thermal Domain
(2025 IEEE Open Conference of Electrical, Electronic and Information Sciences (eStream), April 24, 2025, Vilnius, Lithuania, 2025)This paper investigates the potential of Mobile Video Networks (MoViNet) for real-time human action recognition in the thermal domain. Although MoViNet models have demonstrated strong performance on RGB-based video datasets, ... -
Evaluation of Contour-based Features for Eyeglasses Style Classification
(2025 IEEE Open Conference of Electrical, Electronic and Information Sciences (eStream), April 24, 2025, Vilnius, Lithuania, 2025)Eyeglasses style classification is an important task in computer vision with applications in virtual try-on systems, retail, and personalized recommendations. Such systems must operate efficiently in real-time, even under ... -
BiLSTM-CNN with Bayesian Optimization for Accurate Long-Term Load Forecasting: Cross-Regional Insights from Morocco and Spain
(2025 IEEE Open Conference of Electrical, Electronic and Information Sciences (eStream), April 24, 2025, Vilnius, Lithuania, 2025)Accurate long-term electricity demand forecasting (LTLF) is critical for strategic planning, particularly in the context of escalating climate issues and the intricacies of energy systems. This research proffers a pioneering ... -
Introducing the IRES Tool: A Data-Driven Excel Model for Wind Farm Repowering
(2025 IEEE Open Conference of Electrical, Electronic and Information Sciences (eStream), April 24, 2025, Vilnius, Lithuania, 2025)The transition to renewable energy is crucial for addressing climate change and ensuring energy security. Wind energy plays a central role in this shift, but as many wind farms approach the end of their operational lifespan, ... -
A Systematic Framework for Resistor Tolerance Analysis to Improve Voltage Stability in Electronic Circuits
(2025 IEEE Open Conference of Electrical, Electronic and Information Sciences (eStream), April 24, 2025, Vilnius, Lithuania, 2025)In electronic circuits, ensuring a stable output voltage is crucial, especially when working with voltage dividers. Variations in resistor values due to manufacturing tolerances affected by temperature variations can ... -
Design of a Hybrid Model Based on Statistical and Machine Learning Techniques for Effective Forecasting of Smart Home Energy Consumption
(2025 IEEE Open Conference of Electrical, Electronic and Information Sciences (eStream), April 24, 2025, Vilnius, Lithuania, 2025)Smart home technology is widely used across all cities to provide high security, comfort, and energy efficiency. This leads to an increase in energy consumption due to the growth in technology, population, and economy. ... -
Comparative Analysis of High-voltage High-frequency Pulse Generator Architectures for Pockels Cells
(2025 IEEE Open Conference of Electrical, Electronic and Information Sciences (eStream), April 24, 2025, Vilnius, Lithuania, 2025)Pockels cells are driven by high-frequency, high-voltage pulses and can be considered as capacitive loads. The capacitive nature of the load affects the rise and fall times of the pulses. To properly drive a Pockels cell, ... -
Design and Analysis of a Wide Input Voltage Range Low-Dropout Regulator in TSMC 180nm BCD Technology
(2025 IEEE Open Conference of Electrical, Electronic and Information Sciences (eStream), April 24, 2025, Vilnius, Lithuania, 2025)This paper presents the design and simulation of a low-dropout (LDO) linear voltage regulator intended for integration in high-voltage DC-DC converter systems. Implemented in a 180 nm BCD CMOS process, the proposed LDO ... -
Improved MOS Current Mode Logic based Tri-state Buffer using DTMOS and its Applications
(2025 IEEE Open Conference of Electrical, Electronic and Information Sciences (eStream), April 24, 2025, Vilnius, Lithuania, 2025)An improved MOS Current Mode Logic (MCML) tri-state buffer design for low-voltage and low-power applications using Dynamic Threshold Voltage MOSFETs (DTMOS) is presented in this work. By using DTMOS transistors for traditional ... -
Holistic View on Decision-making in Cyber Defense Exercises: A Case Study Based in Amber Mist
(2025 IEEE Open Conference of Electrical, Electronic and Information Sciences (eStream), April 24, 2025, Vilnius, Lithuania, 2025)Decision-making in cyber defense exercises (CDX) is a complex process that extends beyond technical proficiency, incorporating cognitive, strategic, and behavioral elements. This study presents a holistic view approach to ... -
Design and Development of Integrated Human Resource Management System with Face Recognition Attendance
(2025 IEEE Open Conference of Electrical, Electronic and Information Sciences (eStream), April 24, 2025, Vilnius, Lithuania, 2025)Workforce management is a critical function in any organization, yet traditional human resource practices and manual attendance tracking are often inefficient, error-prone, and insecure. This study proposes an integrated ... -
Intelligent Traffic Monitoring And Accident Detection System Using YOLOv11 And Image Processing
(2025 IEEE Open Conference of Electrical, Electronic and Information Sciences (eStream), April 24, 2025, Vilnius, Lithuania, 2025)This paper presented improved road safety and traffic management by addressing delays in authorities’ response times through an intelligent traffic monitoring and accident detection system. Traditional traffic monitoring ... -
A Hybrid Approach in Developing a Recommendation System for Personalized Selection of Locations for a Visit
(2025 IEEE Open Conference of Electrical, Electronic and Information Sciences (eStream), April 24, 2025, Vilnius, Lithuania, 2025)Personalized recommendation systems play a crucial role in enhancing user experiences by providing tailored suggestions based on individual preferences and contextual factors. This paper presents a hybrid approach in ... -
Evaluating CNN, RNN, and Vision Transformer for Emotion Recognition: Strengths and Weaknesses
(2025 IEEE Open Conference of Electrical, Electronic and Information Sciences (eStream), April 24, 2025, Vilnius, Lithuania, 2025)This paper explores three prominent deep learning architectures — Convolutional Neural Networks (CNN), Recurrent Neural Networks (RNN), and Vision Transformers (ViT) — for emotion recognition, examining their potential ... -
Exploring Strategies for Literary Translation Using Large Language Models
(2025 IEEE Open Conference of Electrical, Electronic and Information Sciences (eStream), April 24, 2025, Vilnius, Lithuania, 2025)Large language models (LLMs) have made significant progress in processing and generating text across multiple languages. However, translating long literary works remains challenging due to the need for consistent character ...
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